Alternatives to Backengine

Amazon Bedrock is a comprehensive service that streamlines the development and expansion of generative AI applications by offering access to a diverse range of high-performance foundation models (FMs) from top AI organizations, including AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon. Utilizing a unified API, developers have the opportunity to explore these models, personalize them through methods such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that can engage with various enterprise systems and data sources. As a serverless solution, Amazon Bedrock removes the complexities associated with infrastructure management, enabling the effortless incorporation of generative AI functionalities into applications while prioritizing security, privacy, and ethical AI practices. This service empowers developers to innovate rapidly, ultimately enhancing the capabilities of their applications and fostering a more dynamic tech ecosystem.

Langtail is a cloud-based development tool designed to streamline the debugging, testing, deployment, and monitoring of LLM-powered applications. The platform provides a no-code interface for debugging prompts, adjusting model parameters, and conducting thorough LLM tests to prevent unexpected behavior when prompts or models are updated. Langtail is tailored for LLM testing, including chatbot evaluations and ensuring reliable AI test prompts. Key features of Langtail allow teams to: • Perform in-depth testing of LLM models to identify and resolve issues before production deployment. • Easily deploy prompts as API endpoints for smooth integration into workflows. • Track model performance in real-time to maintain consistent results in production environments. • Implement advanced AI firewall functionality to control and protect AI interactions. Langtail is the go-to solution for teams aiming to maintain the quality, reliability, and security of their AI and LLM-based applications.

Postman serves as a collaborative platform for developing APIs, designed to simplify the entire process of API creation and enhance teamwork, enabling the rapid development of superior APIs. The platform's features facilitate each phase of API construction, making it easier to collaborate and accelerate the creation of high-quality APIs. Users can quickly and effortlessly send requests for REST, SOAP, and GraphQL directly within Postman, optimizing their workflow. Additionally, it allows for the automation of manual tests, seamlessly integrating them into your CI/CD pipeline to safeguard against potential issues when code changes are deployed to production. API behavior can be communicated effectively by simulating endpoints and their respective responses without the need for a backend server setup. You can also generate and publish visually appealing, machine-readable documentation, which helps in making your API more accessible for users. Regular performance and response time checks ensure you stay informed about your API's health, allowing for proactive management. Lastly, Postman fosters a shared environment for API creation and consumption, enabling real-time collaboration among team members. Postman’s AI Agent Builder revolutionizes the development of AI agents with its no-code platform, enabling users to build, test, and deploy powerful agents without coding expertise. It provides access to a vast library of over 100,000 APIs and a variety of LLMs, offering tools to compare their performance, cost, and response quality. The visual workflow builder simplifies creating multi-step agent interactions, and its testing tools ensure reliability before deployment.

Enhance and launch AI models using Simplismart's ultra-fast inference engine. Seamlessly connect with major cloud platforms like AWS, Azure, GCP, and others for straightforward, scalable, and budget-friendly deployment options. Easily import open-source models from widely-used online repositories or utilize your personalized custom model. You can opt to utilize your own cloud resources or allow Simplismart to manage your model hosting. With Simplismart, you can go beyond just deploying AI models; you have the capability to train, deploy, and monitor any machine learning model, achieving improved inference speeds while minimizing costs. Import any dataset for quick fine-tuning of both open-source and custom models. Efficiently conduct multiple training experiments in parallel to enhance your workflow, and deploy any model on our endpoints or within your own VPC or on-premises to experience superior performance at reduced costs. The process of streamlined and user-friendly deployment is now achievable. You can also track GPU usage and monitor all your node clusters from a single dashboard, enabling you to identify any resource limitations or model inefficiencies promptly. This comprehensive approach to AI model management ensures that you can maximize your operational efficiency and effectiveness.

OpenPipe offers an efficient platform for developers to fine-tune their models. It allows you to keep your datasets, models, and evaluations organized in a single location. You can train new models effortlessly with just a click. The system automatically logs all LLM requests and responses for easy reference. You can create datasets from the data you've captured, and even train multiple base models using the same dataset simultaneously. Our managed endpoints are designed to handle millions of requests seamlessly. Additionally, you can write evaluations and compare the outputs of different models side by side for better insights. A few simple lines of code can get you started; just swap out your Python or Javascript OpenAI SDK with an OpenPipe API key. Enhance the searchability of your data by using custom tags. Notably, smaller specialized models are significantly cheaper to operate compared to large multipurpose LLMs. Transitioning from prompts to models can be achieved in minutes instead of weeks. Our fine-tuned Mistral and Llama 2 models routinely exceed the performance of GPT-4-1106-Turbo, while also being more cost-effective. With a commitment to open-source, we provide access to many of the base models we utilize. When you fine-tune Mistral and Llama 2, you maintain ownership of your weights and can download them whenever needed. Embrace the future of model training and deployment with OpenPipe's comprehensive tools and features.

Experience seamless navigation through a tidy and organized interface, enabling you to concentrate on the essential aspects of effectively testing and collaborating on APIs. Firecamp provides a user-centric design alongside a variety of robust features, facilitating an efficient API development process and improving teamwork among members. You can dynamically set variable values for use throughout the platform, ensuring consistency and ease of access. Additionally, create visually appealing API documentation to share with both your team and the wider community. Execute API Collection Tests directly in the terminal or integrate them into your CI/CD pipeline, while also testing and troubleshooting your authentication endpoints with support for multiple authentication methods. This comprehensive approach not only boosts productivity but also fosters a collaborative environment for API development.

Metal serves as a comprehensive, fully-managed machine learning retrieval platform ready for production. With Metal, you can uncover insights from your unstructured data by leveraging embeddings effectively. It operates as a managed service, enabling the development of AI products without the complications associated with infrastructure management. The platform supports various integrations, including OpenAI and CLIP, among others. You can efficiently process and segment your documents, maximizing the benefits of our system in live environments. The MetalRetriever can be easily integrated, and a straightforward /search endpoint facilitates running approximate nearest neighbor (ANN) queries. You can begin your journey with a free account, and Metal provides API keys for accessing our API and SDKs seamlessly. By using your API Key, you can authenticate by adjusting the headers accordingly. Our Typescript SDK is available to help you incorporate Metal into your application, although it's also compatible with JavaScript. There is a mechanism to programmatically fine-tune your specific machine learning model, and you also gain access to an indexed vector database containing your embeddings. Additionally, Metal offers resources tailored to represent your unique ML use-case, ensuring you have the tools needed for your specific requirements. Furthermore, this flexibility allows developers to adapt the service to various applications across different industries.

The API Agent in IBM API Connect serves as a powerful assistant driven by watsonx.ai, streamlining essential functions throughout the entire API lifecycle through an intuitive conversational interface. It operates on an agentic framework, enabling teams to quickly create OpenAPI specifications, generate mocked responses, and produce comprehensive documentation for design-oriented projects. Additionally, it facilitates seamless connections to backend data sources, aids in application code development, and allows for automatic deployment to Code Engine for code-focused workflows, all while requiring no manual configuration. To address the challenges of API sprawl, the API Agent effectively searches through your existing API catalog using straightforward description prompts, recommending reusable endpoints and minimizing redundancy. It also strengthens governance by ensuring that specifications comply with organizational guidelines, providing suggestions or making necessary corrections autonomously. Furthermore, it enhances quality assurance with an integrated testing suite that generates and executes semantic test cases, enabling the early detection of potential issues and contributing to a more robust API management process. Overall, the API Agent is a comprehensive solution that significantly improves efficiency and quality in API development and management.

NoCodeBackend is an intuitive, AI-driven platform designed for the swift creation of production-ready APIs without the need for coding. With a simple interface, users can easily set up databases, tables, and columns, while the platform automatically generates the necessary API endpoints. By utilizing AI-assisted prompts, NoCodeBackend enables users to articulate their API requirements effectively, allowing the system to manage the development seamlessly. Furthermore, the platform provides automated documentation through Swagger, ensuring that the API documentation is both clear and comprehensive, which enhances the overall experience for developers. This innovative approach not only saves time but also empowers users to focus on building their applications without technical barriers.

Cloud Endpoints allows you to create, launch, safeguard, and oversee your APIs effectively. With a robust NGINX-based proxy and a distributed framework, it ensures exceptional performance and scalability. By utilizing either an OpenAPI Specification or one of the provided API frameworks, Cloud Endpoints equips you with essential tools for every stage of API development while offering valuable insights via Cloud Logging, Cloud Monitoring, and Cloud Trace. You can manage access to your API and authenticate each request using JSON Web Tokens and Google API keys. Additionally, seamless integration with Auth0 and Firebase Authentication enables user identification for your web or mobile applications. The Extensible Service Proxy guarantees security and analytics in under 1 millisecond per request. You can effortlessly deploy your API using App Engine and Google Kubernetes Engine or incorporate our proxy container into your Kubernetes setup. Furthermore, you can track essential operational metrics through the Google Cloud Console and obtain deeper insights into user behavior and usage patterns utilizing Cloud Trace, Cloud Logging, and BigQuery. This comprehensive approach ensures that your APIs are not only secure but also optimized for performance and usability.

Choose a model from our extensive open-source library, launch the container, and seamlessly integrate the model API into your application. Whether you're working with image recognition or natural language processing, all our models come pre-trained and are conveniently packaged within a user-friendly API. Our diverse collection of models continues to expand, ensuring you have access to the latest innovations. We carefully select and refine the top models available from sources like HuggingFace and Github. You have the option to host the model on your own with ease or obtain your personal endpoint and API key with just a single click. Cargoship stays at the forefront of advancements in the AI field, relieving you of the burden of keeping up. With the Cargoship Model Store, you'll find a comprehensive selection tailored for every machine learning application. The website features interactive demos for you to explore, along with in-depth guidance that covers everything from the model's capabilities to implementation techniques. Regardless of your skill level, we’re committed to providing you with thorough instructions to ensure your success. Additionally, our support team is always available to assist you with any questions you may have.

SyncTree strives to be a "Super Connecting Platform" that can easily connect any services you want. With SyncTree, which consists of SyncTree STUDIO, a solution for building backend business logic with block coding, and Block Store, a platform for buying and selling pre-made backend function blocks like App Store, you can organically utilize data and connect services to achieve unlimited service expansion.

Go REST is a versatile platform designed for testing and prototyping APIs that supports both GraphQL and RESTful formats, providing users with realistic fake data that mimics real responses, and is accessible around the clock through public endpoints for various entities such as users, posts, comments, and todos. This platform offers the flexibility of multiple API versions along with comprehensive search capabilities across all fields, pagination options (including page and per_page), and includes rate-limiting headers and response format negotiation to optimize performance. It adheres to standard HTTP methods, while any requests that modify data necessitate an access token, which can be provided via an HTTP Bearer token or as a query parameter. Additionally, nested resource capabilities allow for the retrieval of interconnected data, including user-specific posts, comments on posts, and todos created by users, ensuring that developers can easily access relevant information. The platform also features request and response logging, customizable rate limits, and daily data resets to maintain a pristine testing environment, facilitating a smooth development experience. Furthermore, users can take advantage of a dedicated GraphQL endpoint located at /public/v2/graphql, which enables schema-driven queries and mutations for enhanced data manipulation options.

Xano offers a fully-managed, scaleable infrastructure that powers your backend. You can also quickly create the business logic that powers your backend with Xano without writing a single line or use one our pre-made templates to launch quickly and without compromising security or scale. You can quickly create custom API endpoints with just one line of code. Our out-of-the box CRUD operations, Marketplace extensions and templates will accelerate your time to market. Your API is "ready-to use" so you can connect to any frontend immediately and concentrate on your business logic. Swagger automatically documents everything so that you can connect to any frontend easily. Xano uses PostgreSQL, which offers the flexibility of a relational and the Big data needs that a NoSQL solution. You can add features to your backend with just a few clicks. Or, you can use pre-made templates and extensions to jumpstart the project.

This EDR solution will help you uncover the hidden potential in your network. This tool uses ESET's multilayered Endpoint Protection Platform to detect and respond to endpoints. All layers send relevant information to ESET Enterprise Inspector which analyzes large amounts of real-time data from endpoints. It can quickly identify and fix any security problem in the network. ESET Enterprise Inspector offers a unique reputation-based detection system that is transparent to security teams. To allow fine-tuning, all rules can be easily edited via XML. You can create new rules to meet the specific needs of your enterprise environment, including SIEM integrations. ESET's endpoint response and detection tool makes it easy to suppress false alarms. You can adjust the sensitivity of detection rules according to different computer groups or users. Combine criteria such as file name/path/hash/command line/signer to fine-tune the trigger conditions.

SiliconFlow is an advanced AI infrastructure platform tailored for developers, providing a comprehensive and scalable environment for executing, optimizing, and deploying both language and multimodal models. With its impressive speed, minimal latency, and high throughput, it ensures swift and dependable inference across various open-source and commercial models while offering versatile options such as serverless endpoints, dedicated computing resources, or private cloud solutions. The platform boasts a wide array of features, including integrated inference capabilities, fine-tuning pipelines, and guaranteed GPU access, all facilitated through an OpenAI-compatible API that comes equipped with built-in monitoring, observability, and intelligent scaling to optimize costs. For tasks that rely on diffusion, SiliconFlow includes the open-source OneDiff acceleration library, and its BizyAir runtime is designed to efficiently handle scalable multimodal workloads. Built with enterprise-level stability in mind, it incorporates essential features such as BYOC (Bring Your Own Cloud), strong security measures, and real-time performance metrics, making it an ideal choice for organizations looking to harness the power of AI effectively. Furthermore, SiliconFlow's user-friendly interface ensures that developers can easily navigate and leverage its capabilities to enhance their projects.

Rapidly establish endpoints, create tailored data, and execute operations via a RESTful interface. Specify the resource schema along with data generators for every field. Establish relationships between resources and automatically generate the corresponding endpoints. MockAPI serves as an intuitive tool that enables users to effortlessly simulate APIs. It is designed to facilitate prototyping, testing, and educational purposes, making the development process smoother and more efficient. Whether for developers or learners, this tool provides a practical solution for API-related tasks.

Orchestrating actions enables the creation of intricate backend agents that can perform multiple tasks seamlessly. Compatible with all LLMs, you can design a completely tailored user interface for your agent without needing to code, all hosted on your own domain. Monitor each phase of your agent’s process, capturing every detail to manage the unpredictable behavior of LLMs effectively. Implement precise access controls for your application, data, and the agent itself. Utilize a specially fine-tuned model designed to expedite the software development process significantly. Additionally, the system automatically manages aspects like concurrency, rate limiting, and various other functionalities to enhance performance and reliability. This comprehensive approach ensures that users can focus on their core objectives while the underlying complexities are handled efficiently.

Entry Point AI serves as a cutting-edge platform for optimizing both proprietary and open-source language models. It allows users to manage prompts, fine-tune models, and evaluate their performance all from a single interface. Once you hit the ceiling of what prompt engineering can achieve, transitioning to model fine-tuning becomes essential, and our platform simplifies this process. Rather than instructing a model on how to act, fine-tuning teaches it desired behaviors. This process works in tandem with prompt engineering and retrieval-augmented generation (RAG), enabling users to fully harness the capabilities of AI models. Through fine-tuning, you can enhance the quality of your prompts significantly. Consider it an advanced version of few-shot learning where key examples are integrated directly into the model. For more straightforward tasks, you have the option to train a lighter model that can match or exceed the performance of a more complex one, leading to reduced latency and cost. Additionally, you can configure your model to avoid certain responses for safety reasons, which helps safeguard your brand and ensures proper formatting. By incorporating examples into your dataset, you can also address edge cases and guide the behavior of the model, ensuring it meets your specific requirements effectively. This comprehensive approach ensures that you not only optimize performance but also maintain control over the model's responses.

Choose a model, and we will take care of the deployment, hosting, version control, and optimization, ultimately providing you with an inference endpoint for your use. This way, you can focus on your core tasks while we manage the technical details.

Snowglobe serves as an advanced simulation engine that enables AI development teams to thoroughly test their LLM applications by mimicking real user interactions prior to launch. By generating a multitude of authentic and diverse conversations through synthetic users with unique objectives and personalities, it facilitates interaction with your chatbot across a variety of scenarios, thereby revealing potential blind spots, edge cases, and performance challenges at an early stage. Additionally, Snowglobe provides labeled outcomes that allow teams to consistently assess behavioral responses, create high-quality training data for fine-tuning purposes, and continuously enhance model performance. Tailored for reliability assessments, it effectively mitigates risks such as hallucinations and RAG vulnerabilities by rigorously testing retrieval and reasoning capabilities within realistic workflows instead of relying on narrow prompts. The onboarding process is seamless: simply connect your chatbot to Snowglobe’s simulation environment, and by utilizing an API key from your LLM provider, you can initiate comprehensive end-to-end tests within minutes. This efficiency not only accelerates the testing phase but also empowers teams to focus on refining user interactions.

Access cutting-edge language models with just a click. Join a community of over 8,000 developers who are creating the next generation of transformative applications. You can fine-tune and implement models like GPT-J, GPT-NeoX, Codegen, and FLAN-T5, each offering distinct features and pricing options. Among these, GPT-J stands out as the quickest model, whereas GPT-NeoX boasts the highest power, with even more models in development. These versatile models are suitable for a variety of applications, including classification, entity extraction, code generation, chatbots, content development, summarization, paraphrasing, sentiment analysis, and so much more. With their extensive pre-training on a diverse range of internet text, these models can be fine-tuned to meet specific needs, allowing for superior performance across many different tasks. This flexibility enables developers to create innovative solutions tailored to their unique requirements.

Accelerate your AI deployment with fully managed, cloud-based AI solutions that come with comprehensive support for GPT-4, eliminating the need for API tokens. Utilize our low-code framework to streamline your development process, as built-in integrations with all major AI models simplify your workflow. Instantly deploy an API and enjoy the ability to scale and share your applications without the burden of infrastructure management. Transform a smart prompt into a sharable published API while incorporating logic and routing capabilities using Python. Steamship seamlessly connects with your preferred models and services, allowing you to avoid the hassle of learning different APIs for each provider. The platform standardizes model output for consistency and makes it easy to consolidate tasks such as training, inference, vector search, and endpoint hosting. You can import, transcribe, or generate text while taking advantage of multiple models simultaneously, querying the results effortlessly with ShipQL. Each full-stack, cloud-hosted AI application you create not only provides an API but also includes a dedicated space for your private data, enhancing your project's efficiency and security. With an intuitive interface and powerful features, you can focus on innovation rather than technical complexities.

AT&T Cybersecurity, recognized as one of the largest Managed Security Services Providers (MSSP) globally, offers comprehensive solutions to protect digital assets, empowering organizations to confidently identify cyber threats and minimize their impact on business operations while enhancing the efficiency of cybersecurity practices. Safeguard your endpoints against sophisticated and omnipresent cyber threats, enabling rapid detection and response at machine speed, while also proactively hunting for threats before they can take action. With instant capabilities for threat prevention, detection, and response, your devices, users, and overall business are kept secure. Automatically eliminate harmful processes, isolate and quarantine infected devices, and revert events to maintain endpoints in a consistently clean state. The logic and analysis are conducted via the endpoint agent rather than relying on cloud resources, ensuring real-time protection, even when offline. Alerts are automatically categorized into patented storylines, equipping analysts with immediate actionable insights while reducing their workload. This innovative approach not only enhances security but also streamlines operations, allowing businesses to focus on their core functions.

ApiScout serves as a comprehensive platform for the creation, evaluation, and documentation of REST APIs, boasting impressive speed without the need for waiting, restarts, or loading indicators, and is optimized for all Mac devices. You can easily craft requests and analyze responses with its user-friendly interface. As an indispensable HTTP Client tool, ApiScout streamlines the API development process, allowing you to categorize requests into organized folders for better management. Furthermore, it supports the use of dynamic values, enabling you to incorporate calculations, previous response data, environment variables, and computed hashes into your requests seamlessly. Environment variables are particularly useful for clustering related values, making it easy to switch between different user accounts or servers. By defining reusable variables such as tokens, base URLs, or credentials, you can enhance your workflow, ensuring a smooth transition between development and production environments. This level of organization and efficiency makes ApiScout an essential tool for any developer working with APIs.

FinetuneFast is the go-to platform for rapidly finetuning AI models and deploying them effortlessly, allowing you to start generating income online without complications. Its standout features include the ability to finetune machine learning models in just a few days rather than several weeks, along with an advanced ML boilerplate designed for applications ranging from text-to-image generation to large language models and beyond. You can quickly construct your first AI application and begin earning online, thanks to pre-configured training scripts that enhance the model training process. The platform also offers efficient data loading pipelines to ensure smooth data processing, along with tools for hyperparameter optimization that significantly boost model performance. With multi-GPU support readily available, you'll experience enhanced processing capabilities, while the no-code AI model finetuning option allows for effortless customization. Deployment is made simple with a one-click process, ensuring that you can launch your models swiftly and without hassle. Moreover, FinetuneFast features auto-scaling infrastructure that adjusts seamlessly as your models expand, API endpoint generation for straightforward integration with various systems, and a comprehensive monitoring and logging setup for tracking real-time performance. In this way, FinetuneFast not only simplifies the technical aspects of AI development but also empowers you to focus on monetizing your creations efficiently.

Real-time Endpoint Threat Identification, Isolation and Removal RevBits Endpoint Security is an intuitive, high-performance security program that blocks sophisticated attacks. RevBits Endpoint Security is unique in that it performs a three-phase analysis on threats. The comprehensive RevBits Endpoint Detection and Response module (EDR) is feature-rich and provides complete control and access from anywhere. Ransomware and malware attacks are examples of failed endpoint security. RevBIts Endpoint Security provides better protection and will make organizations safer by preventing malware from lateral movement.

Capture production data. Evaluate outputs together and fine-tune the performance of your LLM. A detailed log overview will help you understand what is happening in production. Work with domain experts, product managers and engineers to create reliable model outputs. Track AI metrics, such as speed, token usage, and quality scores. Copilot automates model evaluations and improvements for your use cases. Create, manage, or optimize prompts for precise and relevant interactions between AI models and users. Compare fine-tuned models and foundation models to improve prompt performance. Build a fine-tuning dataset with your team. Create custom fine-tuning data to optimize model performance.

Rapidly identify and address security threats through comprehensive endpoint visibility and advanced detection analytics, significantly decreasing the average time taken for remediation. Tackle the shortage of cybersecurity expertise while enhancing Security Operations Center (SOC) efficiency with extensive automation and seamless integrations for sandboxing, SIEM, and orchestration. Empower security teams by leveraging the unparalleled knowledge and global reach of Symantec’s Managed Endpoint Detection and Response services. Implement Endpoint Detection and Response (EDR) across various platforms, including Windows, macOS, and Linux, utilizing either the EDR that integrates with Symantec Endpoint Protection (SEP) or a temporary agent. Backed by in-depth endpoint visibility, effectively identify and proactively hunt for threats to swiftly uncover and resolve them, regardless of their persistence. Instantly recognize sophisticated attack techniques through behavioral policies that are continually refreshed by Symantec experts, ensuring that defenses remain robust and up to date against emerging threats. This proactive approach not only strengthens organizational security but also builds resilience against future cyber challenges.

The Generative AI Service Cloud Infrastructure is a comprehensive, fully managed platform that provides robust large language models capable of various functions such as generation, summarization, analysis, chatting, embedding, and reranking. Users can easily access pretrained foundational models through a user-friendly playground, API, or CLI, and they also have the option to fine-tune custom models using dedicated AI clusters that are exclusive to their tenancy. This service is equipped with content moderation, model controls, dedicated infrastructure, and versatile deployment endpoints to meet diverse needs. Its applications are vast and varied, serving multiple industries and workflows by generating text for marketing campaigns, creating conversational agents, extracting structured data from various documents, performing classification tasks, enabling semantic search, facilitating code generation, and beyond. The architecture is designed to accommodate "text in, text out" workflows with advanced formatting capabilities, and operates across global regions while adhering to Oracle’s governance and data sovereignty requirements. Furthermore, businesses can leverage this powerful infrastructure to innovate and streamline their operations efficiently.

Tune Studio is a highly accessible and adaptable platform that facilitates the effortless fine-tuning of AI models. It enables users to modify pre-trained machine learning models to meet their individual requirements, all without the need for deep technical knowledge. Featuring a user-friendly design, Tune Studio makes it easy to upload datasets, adjust settings, and deploy refined models quickly and effectively. Regardless of whether your focus is on natural language processing, computer vision, or various other AI applications, Tune Studio provides powerful tools to enhance performance, shorten training durations, and speed up AI development. This makes it an excellent choice for both novices and experienced practitioners in the AI field, ensuring that everyone can harness the power of AI effectively. The platform's versatility positions it as a critical asset in the ever-evolving landscape of artificial intelligence.

Dynamiq serves as a comprehensive platform tailored for engineers and data scientists, enabling them to construct, deploy, evaluate, monitor, and refine Large Language Models for various enterprise applications. Notable characteristics include: 🛠️ Workflows: Utilize a low-code interface to design GenAI workflows that streamline tasks on a large scale. 🧠 Knowledge & RAG: Develop personalized RAG knowledge bases and swiftly implement vector databases. 🤖 Agents Ops: Design specialized LLM agents capable of addressing intricate tasks while linking them to your internal APIs. 📈 Observability: Track all interactions and conduct extensive evaluations of LLM quality. 🦺 Guardrails: Ensure accurate and dependable LLM outputs through pre-existing validators, detection of sensitive information, and safeguards against data breaches. 📻 Fine-tuning: Tailor proprietary LLM models to align with your organization's specific needs and preferences. With these features, Dynamiq empowers users to harness the full potential of language models for innovative solutions.

Cloud-native Percept EDR is a comprehensive, centrally-managed technology that works across platforms and detects and protects against advanced threats. Percept EDR, an intelligent, easy to manage, simple-to deploy product, works efficiently in heterogeneous environment. Percept EDR enhances detection capabilities by using AI-ML and EDR telemetry analytics. It is one of only a few products with on-agent artificial intelligence, ensuring devices are protected even when they are in offline mode. Percept EDR offers real-time protection against zero-day attacks, advanced persistent threats (APTs), ransomware, and other malicious activities. Percept EDR integrates components like device control, application blacklisting, and vulnerabilities management into a single, unified product. This gives you a dashboard view of your endpoint security.

To set up a straightforward API for testing, all you need to do is input a response body to receive your personalized API URL. With Mocki, you have the ability to create a comprehensive mock API, allowing you to build, execute, and launch these mock services effortlessly. These mock APIs can be utilized to design your API, deliver static responses, mimic error situations, and eliminate reliance on external services. Start your journey with a complimentary 7-day trial today. Additionally, by syncing your service with your code repository, you can ensure your mock services remain current with the latest updates automatically. Thanks to our managed hosting solution, your mock service will always be accessible for any user. You will also have access to a dashboard that provides valuable insights into the utilization of your mock service. Moreover, our open-source CLI tool enables you to run your services locally, which is particularly advantageous as it allows you to operate your service without needing an internet connection for external service calls. Mock APIs prove to be extremely beneficial when testing backend applications, especially in scenarios where your API or service requires making HTTP requests to outside services. Embrace the power of mock APIs to streamline your development process and enhance testing efficiency.

Our cloud-based solution offers comprehensive protection, detection, and response to various threats, achieving a remarkable reduction in remediation times by up to 85 percent. It minimizes the attack surface through advanced endpoint detection and response (EDR), threat hunting, and endpoint isolation techniques. With the integrated SecureX platform, users benefit from a cohesive overview, streamlined incident management, and automated playbooks, making our extended detection and response (XDR) system the most extensive available in the industry. Additionally, the Orbital Advanced Search feature quickly provides essential information about your endpoints, enabling faster identification of sophisticated attacks. By employing proactive, human-led threat hunting aligned with the MITRE ATT&CK framework, we empower you to intercept attacks before they inflict any harm. Secure Endpoint ensures comprehensive coverage for protection, detection, response, and user access, effectively fortifying your endpoints against potential threats. By implementing these strategies, organizations can enhance their overall security posture and maintain resilience in the face of evolving cyber challenges.

Falcon Firewall Management offers a straightforward and centralized method for creating, managing, and enforcing security policies. It effectively safeguards against network threats while providing immediate visibility to improve protection and facilitate informed decision-making. Utilizing the same lightweight Falcon agent, management console, and cloud-native framework, it can be deployed and become operational within minutes. This system simplifies operations by maintaining a consistent architecture, eliminating the need for reboots, intricate configurations, or fine-tuning during deployment. By consolidating endpoint protection and host firewall management into a single management console, it streamlines workflows and enhances visibility across security controls. Additionally, it automatically detects and displays specific activities, potential threats, and network anomalies, ensuring that users can respond swiftly to emerging risks. With Falcon Firewall Management, organizations can maintain a robust security posture while minimizing administrative overhead.

Develop and enhance AI for text and images tailored to your specific requirements by training, fine-tuning, and generating content from your own datasets. We leverage top-tier open-source models for both image and language generation, and with LoRA fine-tuning, these models can be trained within minutes. You have the option to share your session via a link or create your own bot for added functionality. Additionally, you can deploy your solution on entirely private infrastructure if desired. By signing up for a free account today, you can immediately start interacting with open-source language models and generate images using Stable Diffusion XL. Fine-tuning your model with your personal text or image data is straightforward, requiring just a simple drag-and-drop feature and taking only 3 to 10 minutes. Once fine-tuned, you can engage with and produce images from these customized models instantly, all within a user-friendly chat interface. The possibilities for creativity and innovation are endless with this powerful tool at your disposal.

Klu.ai, a Generative AI Platform, simplifies the design, deployment, and optimization of AI applications. Klu integrates your Large Language Models and incorporates data from diverse sources to give your applications unique context. Klu accelerates the building of applications using language models such as Anthropic Claude (Azure OpenAI), GPT-4 (Google's GPT-4), and over 15 others. It allows rapid prompt/model experiments, data collection and user feedback and model fine tuning while cost-effectively optimising performance. Ship prompt generation, chat experiences and workflows in minutes. Klu offers SDKs for all capabilities and an API-first strategy to enable developer productivity. Klu automatically provides abstractions to common LLM/GenAI usage cases, such as: LLM connectors and vector storage, prompt templates, observability and evaluation/testing tools.

Symantec Endpoint Security offers the most comprehensive and integrated platform for endpoint security available globally. Whether deployed on-premises, in a hybrid environment, or in the cloud, the unified Symantec solution safeguards all types of endpoint devices, including traditional and mobile, while leveraging artificial intelligence (AI) to enhance security decision-making. The streamlined cloud-based management system facilitates the protection, detection, and response to complex threats aimed at your endpoints. Maintaining uninterrupted business operations is crucial, as compromised endpoints can severely disrupt productivity. By employing innovative techniques for attack prevention and reducing the attack surface, this solution provides robust security throughout the entire attack life cycle, addressing various threats such as stealthy malware, credential theft, fileless attacks, and “living off the land” tactics. Avoiding worst-case scenarios is essential, as full-scale breaches represent a major concern for CISOs. With advanced attack analytics, the platform enables effective detection and remediation of persistent threats, while also preventing the theft of Active Directory credentials, ensuring a secure environment for your organization. Additionally, this comprehensive approach helps organizations stay one step ahead in an ever-evolving threat landscape.

Together AI offers a cloud platform purpose-built for developers creating AI-native applications, providing optimized GPU infrastructure for training, fine-tuning, and inference at unprecedented scale. Its environment is engineered to remain stable even as customers push workloads to trillions of tokens, ensuring seamless reliability in production. By continuously improving inference runtime performance and GPU utilization, Together AI delivers a cost-effective foundation for companies building frontier-level AI systems. The platform features a rich model library including open-source, specialized, and multimodal models for chat, image generation, video creation, and coding tasks. Developers can replace closed APIs effortlessly through OpenAI-compatible endpoints. Innovations such as ATLAS, FlashAttention, Flash Decoding, and Mixture of Agents highlight Together AI’s strong research contributions. Instant GPU clusters allow teams to scale from prototypes to distributed workloads in minutes. AI-native companies rely on Together AI to break performance barriers and accelerate time to market.

Stay ahead of complex threats like ransomware and attacks from nation-states. Empower defenders to effectively manage risks and enhance their security strategies. Move past isolated endpoint solutions and build a more mature security framework grounded in XDR and Zero Trust principles. Microsoft Defender for Endpoint provides top-tier security for various platforms, including Windows, macOS, Linux, Android, iOS, and network devices, enabling swift attack mitigation, resource scaling, and defense evolution. Leveraging cloud scalability and integrated AI, it utilizes the most extensive threat intelligence in the industry. This all-encompassing solution facilitates the identification of every endpoint and network device, such as routers, within your operational landscape. It encompasses vulnerability management, endpoint protection, endpoint detection and response (EDR), mobile threat defense, and managed hunting, all seamlessly integrated into a single platform, thus ensuring comprehensive security coverage. With this unified approach, organizations can establish a more robust defense mechanism while maintaining visibility across all their assets.

Vishwa.ai, an AutoOps Platform for AI and ML Use Cases. It offers expert delivery, fine-tuning and monitoring of Large Language Models. Features: Expert Prompt Delivery : Tailored prompts tailored to various applications. Create LLM Apps without Coding: Create LLM workflows with our drag-and-drop UI. Advanced Fine-Tuning : Customization AI models. LLM Monitoring: Comprehensive monitoring of model performance. Integration and Security Cloud Integration: Supports Google Cloud (AWS, Azure), Azure, and Google Cloud. Secure LLM Integration - Safe connection with LLM providers Automated Observability for efficient LLM Management Managed Self Hosting: Dedicated hosting solutions. Access Control and Audits - Ensure secure and compliant operations.

AhnLab EDR is a robust Endpoint Detection and Response solution designed to provide ongoing surveillance of endpoints, facilitating in-depth threat detection, analysis, and remediation. As new and previously unidentified malware, such as ransomware and its variants, emerge at an unprecedented rate, many organizations find themselves ill-equipped, often depending on outdated endpoint security strategies. To effectively address these vulnerabilities and enhance resilience against security breaches, the adoption of EDR technology becomes vital. AhnLab EDR offers a comprehensive framework for detecting, analyzing, responding to, and predicting threats across endpoints. Its response mechanism ensures thorough visibility into potential threats through relentless monitoring and detailed recording of all endpoint activities, thereby improving analysis and enabling more effective responses. By implementing such advanced solutions, organizations can better safeguard their assets against the evolving landscape of cyber threats.

Skylight serves as an intelligent profiler specifically designed for Ruby and Rails applications, transforming performance metrics into practical insights that enable you to allocate less time to troubleshooting and more time to enhancements. It categorizes endpoints based on "agony," which is a unique combination of slowness and frequency of use, allowing you to identify which areas will yield the greatest returns on your optimization efforts. By examining our endpoint graphs, you can accurately locate where the slowdowns are happening, with the widest bars in these sequences indicating the events that require your attention most urgently. After making improvements to your code, you can easily redeploy your application, with deploys represented on the overview graph to give you a clear visual comparison of your changes. Additionally, you can analyze a histogram of response times to uncover infrequent slowdowns that may affect your overall averages. The tool also allows you to aggregate event sequences based on time or memory allocations, helping you to identify where bottlenecks may be occurring. This way, you can effectively pinpoint your slowest responses and refine your focus on the disparities between your fastest and slowest responses, ultimately leading to a better-performing application. By continuously monitoring and optimizing your application, you can ensure a smoother user experience and enhanced performance over time.

RestSequence is a no-code platform that enables users to construct comprehensive product test workflows by utilizing the APIs of the products being tested. It allows for the efficient creation, management, and execution of test cases and scenarios. Leveraging an application's Swagger API collection, RestSequence facilitates the rapid design and testing of scenarios, ensuring exceptional performance and reliability of applications. Users can onboard generated test scenarios seamlessly, integrating them into their CI/CD pipeline for execution during nightly, weekly, or release builds. Notably, the output file generated from a single use of RestSequence can be repurposed for future testing scenarios without requiring any modifications. Additionally, RestSequence accesses and interprets API details, including method, URL, payload, and request body, from a Swagger specification file. It thoroughly tests each API endpoint to confirm accurate responses, status codes, mandatory fields, and the handling of invalid data, while also monitoring the resources created throughout the testing process. This approach not only streamlines the testing procedure but also enhances the overall efficiency of the development lifecycle.