Alternatives to Rely.io

Union.ai Benefits: - Accelerated Data Processing & ML: Union.ai significantly speeds up data processing and machine learning. - Built on Trusted Open-Source: Leverages the robust open-source project Flyte™, ensuring a reliable and tested foundation for your ML projects. - Kubernetes Efficiency: Harnesses the power and efficiency of Kubernetes along with enhanced observability and enterprise features. - Optimized Infrastructure: Facilitates easier collaboration among Data and ML teams on optimized infrastructures, boosting project velocity. - Breaks Down Silos: Tackles the challenges of distributed tooling and infrastructure by simplifying work-sharing across teams and environments with reusable tasks, versioned workflows, and an extensible plugin system. - Seamless Multi-Cloud Operations: Navigate the complexities of on-prem, hybrid, or multi-cloud setups with ease, ensuring consistent data handling, secure networking, and smooth service integrations. - Cost Optimization: Keeps a tight rein on your compute costs, tracks usage, and optimizes resource allocation even across distributed providers and instances, ensuring cost-effectiveness.

Whether you already have a platform team or are just at the beginning of your internal platform development, Cycloid is designed to complete your internal solution with high-quality building blocks focused on specific DevOps and hybrid cloud best practices. Self-service portal, cloud governance, RBAC, CI/CD pipelines, built-in FinOps, and GreenOps are all modules that you can pick and choose to complement your internal solution or begin your digital transformation. Like a piece of a puzzle, Git-based and lock-free Cycloid can fit into your organizational strategy and solve the burning issues at hand. We can be a pillar for your organizational transformation by empowering and upskilling your existing teams, as well as improving DevX, the developer experience. How? We offer an engineering platform dedicated to DevOps and hybrid cloud adoption, allowing you to optimize how DevOps and end-users use technologies and clouds while working in alignment on common projects.

Faros AI combines all your operational data from multiple sources and enhances them with machine learning signals. The Faros AI Engineering Operations Platform allows you to harness this data so you can accelerate productivity, and better manager your engineering operations. With Faros AI, engineering leaders can scale their operations in a more data-informed way — using data to identify bottlenecks, measure progress towards organizational goals, better support teams with the right resources, and accurately assess the impact of interventions over time. DORA Metrics come standard in Faros AI, and the platform is extensible to allow organizations to build their own custom dashboards and metrics so they can get deep insights into their engineering operations and take intelligent action in a data-driven manner. Leading organizations including Box, Coursera, GoFundMe, Astronomer, Salesforce, etc. trust Faros AI as their engops platform of choice.

Deliver developer self-service with your teams security, compliance, and standards as guardrails. Massdriver is the cloud management solution for platform engineering, cloud operations, and DevOps that empowers your development team to spend more time shipping features and less time managing cloud infrastructure. Effortlessly design, deploy, and monitor your cloud services. The platform streamlines cloud management and DevOps, empowering developers with tools for self-service while maintaining the reliability that operations teams require. Scale your operations or DevOps team by enabling developer self-service without the hassle of managing Backstage or building your own platform from scratch.

Backstage, powered by a central software catalog restores order to infrastructure and allows your product teams to deliver high-quality code rapidly -- without compromising their autonomy. We've always believed that autonomous development teams bring speed and innovation. We learned from experience that the faster your software ecosystem grows, the more fragmented it becomes. Then everything slows again. Backstage streamlines the entire development environment by centralizing services and standardizing tooling. Standardization releases your engineers from the complexity of infrastructure, not by limiting their autonomy.

Port is a platform that allows you to build no-code, holistic, internal developer portals. Port's software catalog includes microservices, custom assets, and can be used with any data model. It also supports in-context maturity scorecards. Portals allow developers to automate workflows and self-service actions.

Cortex Internal Developer Portal allows engineering organizations to easily gain visibility into services and deliver high-quality software. Scorecards allow teams to focus on what is most important to them, such as service quality, production ready standards, and migrations. Cortex's Service Catalog integrates with popular engineering tools to give teams an easy way of understanding everything about their architecture. Teams help organizations improve service quality while fostering a sense ownership and pride. Scaffolder allows developers to scaffold a new service using templates created by your team in less than five minute.

Atlassian's Developer Experience Platform allows you to catalog everything, improve software quality, and keep everyone on the same page. Compass helps you track all your services and systems. It also improves your software health, engineering standards, and developer experience. Use software health metrics to track the health of your software, as well as scorecards for security and health. This will help you empower your teams and improve their developer experience. Never be stuck in a search during an incident. Identify who owns the service and other critical details, such as recent changes, dependencies and errors. Track DORA, SPACE, and DevEx metrics to identify bottlenecks in your developer experience and identify bottlenecks. Don't get lost among repos, channels or documents. Reduce time spent searching for information, whether you are on-call or creating a new service.

configure8 is an internal developer portal that helps helps your developers move faster and build better software with self-serve access to the knowledge and functionality they need. configure8 is built around a universal catalog that easily organizes all of the sociotechnical knowledge about your team and applications, services, environments, and resources. Customize the data model to integrate any tool and present custom views and calculations. Easy to set-up and maintain, and delivers value. configure8 uses knowledge in the universal catalog to power Scorecards and Self-Serve Actions. Scorecards by configure8 feature the largest library of pre-built checks and the ability to scorecard any custom data as well as create standards tripwires. Self-Serve Actions feature dynamic forms that are contextually aware to minimize developer cognitive load for day 2 operations. We even offer starter templates + custom actions. Deploy configure8 on-premise or use our SaaS hosted version. We offer white glove support to ensure your success and high internal adoption rates.

OpsLevel tracks the microservices that underpin your products, the support teams, and the tools and practices that keep them running. You can streamline everything, from incident response to onboarding new engineers. A microservice catalog will help you build more reliably and prevent outages and security breaches. You can create a point for leverage that can drive and monitor upgrades and migrations across your tech stack.

Facets.cloud automates the last mile of cloud deployment as a product, allowing companies with large DevOps setups to manage their infrastructures themselves. This eliminates the need for organizations building platforms in-house. Platform Engineering is the future of DevOps. Facets helps businesses adopt the principles Platform Engineering by transforming DevOps setups, unlocking self-service and helping them reduce cloud costs and achieve well-architected clouds environments.

Platform teams can scale up to tens or thousands of resources with managed control planes. Centralize control over any cloud service provider and any cloud native tools. Manage your entire cloud infrastructure from one place, including any cloud and any cloud native tools. Upbound Spaces enables organizations to deploy managed control plans in their own environments, for compliance and data security. Upbound democratizes the cloud's best-kept secret -- the control plan. Cloud engineers can no longer be hindered by configuration drift and developers who are frustrated. Platform engineers benefit from centralized control, governance and stability, while developers enjoy the freedom of self service.

Platform engineering is revolutionizing how engineering organizations build and run their cloud-native setups. Humanitec is leading this revolution, providing enteprises with the fastest and most reliable way to build Internal Developer Platforms (IDPs). Humanitec is the leader in the platform engineering space. Named a 2022 Gartner® Cool Vendor, we drive developer productivity by radically simplifying how teams deliver software at scale. Our core product, the Humanitec Platform Orchestrator, is used by mid and large-size engineering organizations, from 100+ developer scale-ups all the way to Fortune 100s. Our OSS workload specification Score lets developers describe their workloads and dependencies as code. The Platform Orchestrator dynamically generates app and infra configurations with every new deployment, driving standardization across the entire software delivery lifecycle. This means no more ticket ops or waiting times for developers, resulting in 4x higher deployment frequency and 30% faster time to market. As a SaaS provider, Humanitec takes information security very seriously. We’re ISO 27001 certified and constantly strive to protect data while adhering to the industry’s best security practices.

Uffizzi allows teams to build internal developer platforms within minutes, and not months. This is done by offering out-of-the box Kubernetes Multi-tenancy, Cluster Virtualization, and customizable templating. Standardize workflows while giving each developer access to self service, ephemeral environment for development, PRs and staging. Runs on either your infrastructure or ours.

Mia-Platform is the Platform Builder for cloud-native at scale. The platform allows organizations to quickly build and ship high-quality software by streamlining the Developer Experience thanks to an Internal Developer Platform for self-serving developers. Don’t waste time setting up your platform, just push the code!

Easy, scalable, and low-maintenance. Security, scorecards, and customizability are all built-in. Backstage is now able to manage no-codes with the help of Roadie. Backstage is constantly evolving thanks to a vibrant contributor community. Roadie offers all these features while smoothing out rough edges such as GitHub rate limitations. Roadie allows you to manage access and permissions, as well as plugins and integrations. Roadie provides advanced debugging tools to help you navigate unexpected situations. Your Developer Portal won't be successful unless it is tailored to the way that your developers work. Roadie allows you to bring your own Backstage plug-ins so that you can integrate internal systems in your Developer Portal. Roadie allows you to bring your own API documentation renderinger so that your docs will be presented exactly how you want them in Backstage.

Each module can be used independently or together to create a powerful unified pipeline that spans CI, CD and Feature Flags. Every Harness module is powered by AI/ML. {Our algorithms verify deployments, identify test optimization opportunities, make cloud cost optimization recommendations, restore state on rollback, assist with complex deployment patterns, detect cloud cost anomalies, and trigger a bunch of other activities.|Our algorithms are responsible for verifying deployments, identifying test optimization opportunities, making cloud cost optimization recommendations and restoring state on rollback. They also assist with complex deployment patterns, detecting cloud cost anomalies, as well as triggering a variety of other activities.} It is not fun to sit and stare at dashboards and logs after a deployment. Let us do all the boring work. {Harness analyzes the logs, metrics, and traces from your observability solution and automatically determines the health of every deployment.|Harness analyzes logs, metrics, traces, and other data from your observability system and determines the health and condition of each deployment.} {When a bad deployment is detected, Harness can automatically rollback to the last good version.|Ha

Let Nano be a highly skilled and helpful chat partner, professional coworker, research assistant, business representative, and source for creative inspiration. Nano uses your data to create AI models that are tailored to your team without sharing any of your private datasets with anyone outside your organization. Nano uses Nebuli's safety standard through its data stack data privacy protocols, explainable AI, and human-in-the loop models. Nano is powered by DeepVUE's composite AI framework that integrates with your datasets. This allows you to enhance user-facing services such as smart document searching, composition tools for creating content, tutoring chatbots and robotic sales workforce.

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.

LMOps is a stack that allows you to launch production-ready applications for monitoring, model management and more. Portkey is a replacement for OpenAI or any other provider APIs. Portkey allows you to manage engines, parameters and versions. Switch, upgrade, and test models with confidence. View aggregate metrics for your app and users to optimize usage and API costs Protect your user data from malicious attacks and accidental exposure. Receive proactive alerts if things go wrong. Test your models in real-world conditions and deploy the best performers. We have been building apps on top of LLM's APIs for over 2 1/2 years. While building a PoC only took a weekend, bringing it to production and managing it was a hassle! We built Portkey to help you successfully deploy large language models APIs into your applications. We're happy to help you, regardless of whether or not you try Portkey!

We have all been overwhelmed by the response over the past few weeks and have been hard at work to ensure a safe release. We have incorporated data from our beta models and community for developers to use. HuggingFace's tireless legal, technology and ethics teams and CoreWeave's brilliant engineers worked together. An AI-based Safety Classifier has been developed and is included as a default feature in the overall software package. This can understand concepts and other factors over generations to remove outputs that are not desired by the model user. This can be easily adjusted, and we welcome suggestions from the community on how to improve it. Although image generation models are powerful, we still need to improve our understanding of how to best represent what we want.

Create new ideas and design concepts. Visualize your product in different styles, colors, and shapes. To increase sales and marketing, improve lighting and image angles. Contextualize your product images to increase conversion. Poor quality product images do not convert. RocketAI can help you create a background around your product with consistent reflections and shadows. Upload your product catalog to our web interface. Then, train a text-to-image model from scratch and generate thousands of images using a simple text prompt. Simply type in a few lines about your concept and the system will generate new visual content. This saves you hours of research time and design time. You can request our standard plan to build up 25 custom models from your product images. This will allow you to see the potential of this amazing technology.

With suggested edits, prompts rewritten, and automatically generated tests, you can eliminate the guesswork from prompt engineering. We run dozens analyses on your prompts and data in order to identify limitations and implement fixes. Detect issues with prompts and possible improvements. Rewrite prompts automatically with AI-generated fixes. Save time by not writing test cases. We create high-quality examples for you to test and guide your prompts. Identify ways to improve your prompts. Automate the rewriting of your prompts by AI to fix limitations. Create diverse test cases to validate and guide updates. Use your optimized prompts for models and tools.

GPT4All provides an ecosystem for training and deploying large language models, which run locally on consumer CPUs. The goal is to be the best assistant-style language models that anyone or any enterprise can freely use and distribute. A GPT4All is a 3GB to 8GB file you can download and plug in the GPT4All ecosystem software. Nomic AI maintains and supports this software ecosystem in order to enforce quality and safety, and to enable any person or company to easily train and deploy large language models on the edge. Data is a key ingredient in building a powerful and general-purpose large-language model. The GPT4All Community has created the GPT4All Open Source Data Lake as a staging area for contributing instruction and assistance tuning data for future GPT4All Model Trains.

Never write, maintain or triage another automated testing. Qualiti is a dedicated AI tester that engineers need, offering real-time automated tests for near-instant feedback. Qualiti's AI platform can test software without human input. This allows for faster testing and better results. Integrate your SCM/VCS, CI/CD or project management system with your tools for seamless results. No need to manage another tool. Qualiti automates up to 34% a company's engineering costs, allowing engineers to produce more reliable code faster. Developers can push their code and see results in just a few moments. This allows for faster bug detection and fix, which results in a quicker time-to market. Do not rely on numbers that do not tell you whether or what you care about is being test. Click through your application to view the tests and coverage.

Our AI formulas are compatible with native Google Sheets functions such as absolute ranges and named references. With just a few clicks, you can train a custom AI on your spreadsheet data - no setup or coding required! Flowshot is a combination AI models that have been optimized for speed and performance over thousands of hours. OpenAI's GPT-3 is used alongside our own AI models stack. The ideal model is automatically selected based on the use case.

ShipGPT is an AI repository that contains a ready-made boilerplate for a variety of AI use cases. It allows you to create your own AI applications or integrate AI into existing tech, without the need to hire full stack developers or AI dev wrappers. ShipGPT allows you to transform your apps into AI apps and create products such as ChatBase, ChatPDF or Jenni AI. The service includes live support as well as continuous updates. The service is designed for developers to create AI apps quickly. It is regularly updated. It does not rely on licensed or third-party libraries or APIs. Instead, it relies on open-source libraries that are easy to maintain.

Dora is better than most at creating 3D animated websites and advanced websites. We prefer to design the underlying architecture, and build our ability matrix both horizontally and vertically. This allows us to cover 99% of frontend technology scenarios. We combine features and interfaces (similar to functional programing) and give configuration abilities to the users through an ecosystem. We have used the Flutter technology stack based on Skia engine to ensure a cross-platform approach. With a single project, you can create desktop, mobile and embedded applications. Also, logic flow, Super Input and powerful rich text component are all within reach. Comparing Framer Site which uses frontend technology, there are still many obstacles to overcome in order to migrate towards multi-device apps in the future.

AI transforms the way businesses access information by providing quick, precise and context-aware assistance. CoPilot.Live transforms the way individuals and organizations interact and access knowledge. CoPilot.Live AI-powered assistance is tailored to your organization's specific needs for enhanced performance. CoPilot integrates seamlessly with a wide range of Design tools, Dev Tools, WhatsApp, and other platforms. This will allow users to work with their favorite tools and maintain a consistent workspace. CoPilot can provide hyper-personalized support due to its ability to be trained in datasources and LLM model. It is able to understand the unique preferences of users, and make suggestions and recommendations that are tailored to their needs.

Accelerate enterprise transformation by assessing the skills of your team, upskilling them quickly, and measuring their progress with cutting-edge technologies such as GenAI. We provide actionable data on skills that will inform your talent strategies for hiring, upskilling and mentoring. Your workforce will benefit from personalized learning plans, and your leadership will gain the visibility and insights they need to make better talent decisions. All of this is seamlessly integrated into your tech ecosystem. Our domains and measurements are evolving with the industry. They include technologies such as data science, AI and software, machine-learning, cloud and more. Workera is designed as a complement to and a way to strengthen the content and tools that your enterprise currently uses. We help you maximize your investments by integrating seamlessly. Workera's reimagination of how to classify skill sets provides a level of precision that is unprecedented when it comes to measuring and understanding the capabilities of your employees.

With our enterprise Gen AI stack you can go beyond your imagination. You can instantly offload manual tasks and give them to powerful assistants. The sky is the limit. For enterprises that place data security first, fine-tune generative AI models and deploy them on your own cloud securely.

Use the AI behind ChatGPT for text commands to explain, transform and ingest Sheets data! Business users are frustrated by the fact that they can't access the data and tools they need. We're starting by building a platform based on the trusted spreadsheet. It's been around over 43 years, and has an estimated 1 billion users worldwide, but it hasn't kept up with the pace modern data. Get context-aware, AI-generated formula suggestions that include links to relevant StackOverflow articles. ChatGPT's AI allows you to instantly understand, clean and ingest Sheets data.

Create and manage AI applications without the need to move data to complex vector databases and pipelines. Integrate AI, vector search and real-time inference directly with your database. Python is all you need. All your AI models can be deployed in a single, scalable deployment. The AI models and APIs are automatically updated as new data is processed. You don't need to duplicate your data or create an additional database to use vector searching and build on it. SuperDuperDB allows vector search within your existing database. Integrate and combine models such as those from Sklearn PyTorch HuggingFace, with AI APIs like OpenAI, to build even the most complicated AI applications and workflows. With simple Python commands, deploy all your AI models in one environment to automatically compute outputs in your datastore (inference).

Octolane AI is a Y Combinator funded startup that specializes in handling, analyzing and interpreting large datasets ranging from sales to healthcare. Our first product focuses on real-time B2B data enrichment powered by large language model (LLMs). We manage over 300 million contacts and 50 million company records, which are constantly updated and growing to ensure accuracy. Our AI/ML applications can handle millions of requests per month, allowing seamless integration with your business. Our process involves meticulous data cleaning and analysis of billions data rows. We work with a variety data types including images, videos and both structured and unstructured data.

Coral is a knowledge assistant that helps enterprises boost the productivity of their strategic teams. Coral can be asked a question to find answers in your documents, backed up with citations. The generated responses can be verified with citations, reducing the risk of hallucinations. Explain large language models for a non-technical retailer executive. Coral can be tailored to fit your specific job functions, whether you are in finance, support, or sales. Connect data sources to its knowledge base to make it more powerful. Coral integrates with your ecosystem via 100+ integrations that span CRMs, collaboration tools and databases. Manage Coral in your own secure cloud, either through cloud partners (AWS GCP OCI etc.). Virtual private clouds. Coral data will never be sent to Cohere. It stays in your own environment. Coral's responses are based on your documents and data. Citations will be displayed to show where the responses are based.

It's not enough to just look at a few examples. To get actionable insights about how to improve your models, gather feedback from end-users at large. With the GPT improvement engine, you can easily A/B test models. You can only go so far with prompts. Fine-tuning your best data will produce better results. No coding or data science required. Integration in one line of code You can experiment with ChatGPT, Claude and other language model providers without having to touch it again. If you have the right tools to customize models for your customers, you can build innovative and defensible products on top APIs. Copy AI allows you to fine tune models based on the best data. This will allow you to save money and give you a competitive edge. This technology allows for magical product experiences that delight more than 2 million users.

StarCoderBase and StarCoder are Large Language Models (Code LLMs), trained on permissively-licensed data from GitHub. This includes data from 80+ programming language, Git commits and issues, Jupyter Notebooks, and Git commits. We trained a 15B-parameter model for 1 trillion tokens, similar to LLaMA. We refined the StarCoderBase for 35B Python tokens. The result is a new model we call StarCoder. StarCoderBase is a model that outperforms other open Code LLMs in popular programming benchmarks. It also matches or exceeds closed models like code-cushman001 from OpenAI, the original Codex model which powered early versions GitHub Copilot. StarCoder models are able to process more input with a context length over 8,000 tokens than any other open LLM. This allows for a variety of interesting applications. By prompting the StarCoder model with a series dialogues, we allowed them to act like a technical assistant.

Wolfram Alpha introduced a new paradigm of knowledge and answers. Instead of searching the internet, Wolfram Alpha uses a vast array of data, algorithms, and methods to perform dynamic computations. Wolfram Alpha makes expert-level capabilities and knowledge available to a wide range of people, spanning all professions and educational levels. We accept free-form input and serve as a knowledge generator that generates powerful and clear results. Wolfram Alpha is possible today because of a unique set of circumstances, and the singular vision of Stephen Wolfram. The web is a powerful delivery system that allows Wolfram Alpha to be available to a wide audience. This is the first time ever in history that computers have been powerful enough for Wolfram Alpha. This technology was not enough to make Wolfram Alpha possible.

No code, in minutes - Inject AI prompts into any website, data, or workflow. We support the most recent generative models and we are always adding new ones. GPT4, ChatGPT and GPT3 are all supported. Your PDF, website, and document can be used by AI to train it to respond. You can customize Pickaxes to embed them on your site, bring them into Google sheets or access them through our API

Ray's creators have created a fully-managed platform. The best way to create, scale, deploy, and maintain AI apps on Ray. You can accelerate development and deployment of any AI app, at any scale. Ray has everything you love, but without the DevOps burden. Let us manage Ray for you. Ray is hosted on our cloud infrastructure. This allows you to focus on what you do best: creating great products. Anyscale automatically scales your infrastructure to meet the dynamic demands from your workloads. It doesn't matter if you need to execute a production workflow according to a schedule (e.g. Retraining and updating a model with new data every week or running a highly scalable, low-latency production service (for example. Anyscale makes it easy for machine learning models to be served in production. Anyscale will automatically create a job cluster and run it until it succeeds.

GPT-4 (Generative Pretrained Transformer 4) a large-scale, unsupervised language model that is yet to be released. GPT-4, which is the successor of GPT-3, is part of the GPT -n series of natural-language processing models. It was trained using a dataset of 45TB text to produce text generation and understanding abilities that are human-like. GPT-4 is not dependent on additional training data, unlike other NLP models. It can generate text and answer questions using its own context. GPT-4 has been demonstrated to be capable of performing a wide range of tasks without any task-specific training data, such as translation, summarization and sentiment analysis.

YouImagine is a AI image generator. Enter a prompt. Be creative! Watch as the artificial intelligence creates an image from scratch without copyright. You can discover more with the multi-dimensional interface, which features horizontal and vertical scrolling. Protect your data when you browse the internet. A search engine without tracking or intrusive ads. Search with 150+ apps, including Stack Overflow and Twitter.

ChatGPT Enterprise is the most powerful version yet, with enterprise-grade security and privacy. 1. Training models do not use customer prompts or data 2. Data encryption in transit and at rest (TLS 1.2+). 3. SOC 2 compliant 4. Easy bulk member management and dedicated admin console 5. SSO and Domain Verification 6. Use the analytics dashboard to understand usage 7. Access to GPT-4 Advanced Data Analysis and GPT-4 at high speed is unlimited 8. 32k token context window for 4X longer inputs, memory and inputs 9. Shareable chat templates to help your company collaborate

Meet Ema, an AI universal employee who increases productivity in every role within your organization. She is easy to use, accurate, and trustworthy. Ema is the missing operating system for generative AI at an enterprise-level. Ema automates complicated workflows using a proprietary generative engine. She is compliant, trustworthy and secures your data. EmaFusion model combines outputs from best models (public large-language models and custom private ones) to increase productivity with unrivaled precision. We believe that everyone could contribute more to the organization if there was less repetitive work and more time to think creatively. Gen AI provides a unique opportunity to achieve this. Ema is compatible with hundreds of enterprise applications, and requires no learning curve. Ema can access the core of your organization including documents, logs and data, codes, policies, and code.

The operational data of your product engineering team is a goldmine. Get automatic updates, insights and actions that are right when you need them. Our AI understands all that is happening in your product development organization. What matters to each person and team is surfaced at the right time. Ask questions to get a deeper understanding of any update. Your team's daily update on project progress, emerging risk, and activity that requires attention. A summary of sprints or Kanban progress and activity. This tool is designed to keep teams, leaders and other stakeholders informed. Leaders and collaborators can make strategic decisions based on complete, precise updates from your product engineering squads. Updates that are precise and only highlight the most important information will help align business units and teams.

Teams that have access to LLM can increase their productivity up to 40%. Chat and search experiences that work across your favorite integrations will unlock the power of AI to your team. Hyper makes it easy to find data across your organization. Search or browse documents relevant to your task, then contextualize the files with a single click. Group data around what's important to your business, like campaigns, tools, and projects, then chat with AI who knows everything about the current task. Search and browse your datasets quickly, then group data across integrations to contextualize your business. Chat with your context objects for laser-focused responses. You can use the tool to create messages, proposals, or automated bids.

A generative AI platform which provides actionable insights in real-time from internal and external data. Maya automates repetitive tasks and provides intelligent suggestions to save time and effort. No longer do you need to spend hours manually filtering and manipulating data. Maya allows you to confidently make data-driven decisions. Maya's advanced model can provide insights and recommendations with different perspectives, formats and images. Personalization is also possible. Maya can provide valuable insights to help you generate accurate predictions, plans and recommendations based on new and historical data. Any external or historical data can be used to generate value. Maya makes it easy to voice-activate data retrieval. You can use text or voice to get the information you need. Maya AI can process and respond to queries effectively in different linguistic contexts.

WaxWing's intelligent AI-assisted management of growth campaigns, initiatives, and managers is ideal for product marketers and growth teams, managers and growth hackers. It is also suitable for heads and c level executives. WaxWing scans our website, digital platforms and connected MarTech stacks from our partners in order to gather, analyse and report comprehensive business information about our business. Streamline your projects and foster teamwork using intuitive management tools that ensure seamless execution and collaboration. AI can be used to enhance your content, using a vast library of prompts and tailored recommendations. Real-time insights, AI-powered business profiles and real-time insights will give you an edge. Data becomes your most valuable asset.

Cassidy integrates securely with your tools and leverages company knowledge to automate tasks such as customer support, lead qualification, processing RFPs, and more. Connect your company's data and knowledge with AI to answer employee questions, receive updates on projects, reply to customers faster and more. Always accurate and on brand. Cassidy's Knowledge Base is a reliable source of verified and cited data from your own company's knowledge. Your employees will have instant access to current information, as your company's knowledge is centralized and synchronized in real-time. By leveraging your unique business context, you can enable your AI to complete the most complex workflows.