Business Software for Python

Transform your code into engaging interactive flowcharts using AI, while effortlessly streamlining intricate logic in real time. This innovative approach not only enhances understanding but also improves communication of complex processes.

Lightweight, fast, portable, and powered by Rust, our solution is designed to be compatible with OpenAI. We collaborate with cloud providers, particularly those specializing in edge cloud and CDN compute, to facilitate microservices tailored for web applications. Our solutions cater to a wide array of use cases, ranging from AI inference and database interactions to CRM systems, ecommerce, workflow management, and server-side rendering. Additionally, we integrate with streaming frameworks and databases to enable embedded serverless functions aimed at data filtering and analytics. These serverless functions can serve as database user-defined functions (UDFs) or be integrated into data ingestion processes and query result streams. With a focus on maximizing GPU utilization, our platform allows you to write once and deploy anywhere. In just five minutes, you can start utilizing the Llama 2 series of models directly on your device. One of the prominent methodologies for constructing AI agents with access to external knowledge bases is retrieval-augmented generation (RAG). Furthermore, you can easily create an HTTP microservice dedicated to image classification that operates YOLO and Mediapipe models at optimal GPU performance, showcasing our commitment to delivering efficient and powerful computing solutions. This capability opens the door for innovative applications in fields such as security, healthcare, and automatic content moderation.

Effortlessly create and oversee AI applications without transferring your data through intricate pipelines or specialized vector databases. You can seamlessly connect AI and vector search directly with your existing database, allowing for real-time inference and model training. With a single, scalable deployment of all your AI models and APIs, you will benefit from automatic updates as new data flows in without the hassle of managing an additional database or duplicating your data for vector search. SuperDuperDB facilitates vector search within your current database infrastructure. You can easily integrate and merge models from Sklearn, PyTorch, and HuggingFace alongside AI APIs like OpenAI, enabling the development of sophisticated AI applications and workflows. Moreover, all your AI models can be deployed to compute outputs (inference) directly in your datastore using straightforward Python commands, streamlining the entire process. This approach not only enhances efficiency but also reduces the complexity usually involved in managing multiple data sources.

Enhance your observability framework to swiftly identify data and machine learning challenges, facilitate ongoing enhancements, and prevent expensive incidents. Begin with dependable data by consistently monitoring data-in-motion to catch any quality concerns. Accurately detect shifts in data and models while recognizing discrepancies between training and serving datasets, allowing for timely retraining. Continuously track essential performance metrics to uncover any decline in model accuracy. It's crucial to identify and mitigate risky behaviors in generative AI applications to prevent data leaks and protect these systems from malicious attacks. Foster improvements in AI applications through user feedback, diligent monitoring, and collaboration across teams. With purpose-built agents, you can integrate in just minutes, allowing for the analysis of raw data without the need for movement or duplication, thereby ensuring both privacy and security. Onboard the WhyLabs SaaS Platform for a variety of use cases, utilizing a proprietary privacy-preserving integration that is security-approved for both healthcare and banking sectors, making it a versatile solution for sensitive environments. Additionally, this approach not only streamlines workflows but also enhances overall operational efficiency.

Utilizing the top-performing model for each specific request allows us to surpass the capabilities of any individual model. Martian consistently exceeds the performance of GPT-4 as demonstrated in OpenAI's evaluations (open/evals). We transform complex, opaque systems into clear and understandable representations. Our router represents the pioneering tool developed from our model mapping technique. Additionally, we are exploring a variety of applications for model mapping, such as converting intricate transformer matrices into programs that are easily comprehensible for humans. In instances where a company faces outages or experiences periods of high latency, our system can seamlessly reroute to alternative providers, ensuring that customers remain unaffected. You can assess your potential savings by utilizing the Martian Model Router through our interactive cost calculator, where you can enter your user count, tokens utilized per session, and monthly session frequency, alongside your desired cost versus quality preference. This innovative approach not only enhances reliability but also provides a clearer understanding of operational efficiencies.

Developed and continuously improved by a dedicated team of professionals specializing in differential privacy, this system is actively utilized by organizations such as the U.S. Census Bureau. It operates on the Spark framework, seamlessly handling input tables with billions of entries. The platform offers an extensive and expanding array of aggregation functions, data transformation operations, and privacy frameworks. Users can execute public and private joins, apply filters, or utilize custom functions on their datasets. It enables the computation of counts, sums, quantiles, and more under various privacy models, ensuring that differential privacy is accessible through straightforward tutorials and comprehensive documentation. Tumult Analytics is constructed on our advanced privacy architecture, Tumult Core, which regulates access to confidential data, ensuring that every program and application inherently includes a proof of privacy. The system is designed by integrating small, easily scrutinized components, ensuring a high level of safety through proven stability tracking and floating-point operations. Furthermore, it employs a flexible framework grounded in peer-reviewed academic research, guaranteeing that users can trust the integrity and security of their data handling processes. This commitment to transparency and security sets a new standard in the field of data privacy.

TrueZero offers a vaultless data privacy API that substitutes sensitive personally identifiable information (PII) with tokens, enabling organizations to lessen the effects of data breaches, facilitate safer data sharing, and reduce compliance burdens. Our tokenization technology is utilized by top financial institutions. No matter where or how PII is utilized, TrueZero Tokenization effectively secures and replaces that information. This allows for more secure user authentication, information validation, and profile enhancement without disclosing sensitive data such as Social Security Numbers to partners, internal teams, or external services. By minimizing your environments that require compliance, TrueZero can significantly expedite your compliance timeline, potentially saving you millions in development or partnership expenses. With data breaches averaging $164 per compromised record, tokenizing PII is crucial for safeguarding your organization against penalties related to data loss and damage to your brand’s reputation. You can store tokens and perform analytics just as you would with unaltered data, ensuring both functionality and security. In today’s data-driven world, this approach not only enhances privacy but also fosters trust with clients and stakeholders alike.

DryRun Security has been created based on our extensive experience in training over 10,000 developers and security experts in the realm of application security testing, as well as our work on security products at GitHub and Signal Sciences. Through this experience, we identified a significant gap in the current market: the lack of security context tailored for developers. Since developers are constantly making code adjustments throughout their workdays, they require a security solution that offers relevant security insights, enabling them to work more efficiently and safely. Traditional security code reviews can hinder the progress of development teams, often occurring too late in the production cycle. It is essential for developers to receive security context as soon as a pull request is initiated, allowing them to understand the potential impacts of the code changes being submitted. Up until now, the majority of security testing has employed a one-size-fits-all strategy, leading to developer frustration due to excessive, repetitive alerts and unreliable outcomes. By focusing on providing actionable security context at critical moments, DryRun Security aims to revolutionize the way developers approach security in their workflows.

A specialized application performance monitoring tool tailored for distributed systems, particularly optimized for microservices, cloud-native environments, and containerized architectures like Kubernetes. One SkyWalking cluster has the capacity to collect and analyze over 100 billion pieces of telemetry data. It boasts capabilities for log formatting, metric extraction, and the implementation of diverse sampling policies via a high-performance script pipeline. Additionally, it allows for the configuration of alarm rules that can be service-centric, deployment-centric, or API-centric. The tool also has the functionality to forward alarms and all telemetry data to third-party services. Furthermore, it is compatible with various metrics, traces, and logs from established ecosystems, including Zipkin, OpenTelemetry, Prometheus, Zabbix, and Fluentd, ensuring seamless integration and comprehensive monitoring across different platforms. This adaptability makes it an essential tool for organizations looking to optimize their distributed systems effectively.

Helios equips security teams with contextual and actionable insights during runtime, greatly alleviating alert fatigue by offering immediate visibility into application behavior. Our platform delivers detailed insights into the vulnerable software components currently in use and the data flows associated with them, providing a comprehensive evaluation of your risk profile. By focusing on your application's specific context, teams can effectively prioritize fixes, ensuring that valuable development time is used efficiently to address the most critical attack surfaces. With a clear understanding of the applicative context, security teams can accurately assess which vulnerabilities truly necessitate remediation. This clarity eliminates the need for persuading the development team about the legitimacy of a vulnerability, streamlining the response process and enhancing overall security. Moreover, this approach fosters collaboration between security and development teams, ultimately leading to a more robust security posture.

Compile embeddings from past attacks in a vector database to identify and avert similar threats down the line. Employ a specialized model to scrutinize incoming prompts for potential attack patterns. Incorporate canary tokens within prompts to monitor for any data leaks, enabling the system to catalog embeddings for incoming prompts in the vector database and thwart future attacks. Additionally, preemptively screen for harmful inputs before they reach the model, ensuring a more secure analysis process. This multi-layered approach enhances the overall defense mechanism against potential security breaches.

With Shakker, your creative visions can be transformed into stunning images in mere seconds. The process of generating images using AI is made incredibly user-friendly with Shakker's intuitive interface. Whether you're looking to create new visuals, modify existing styles, merge different elements, or enhance specific areas, Shakker's prompt suggestions and tailored designs provide a seamless experience. This innovative platform changes the landscape of image creation; you can easily upload a reference photo, and it will suggest styles from an extensive library, simplifying the task of producing the ideal image. In addition to style alterations, Shakker presents a suite of advanced editing features, including segmentation, quick selection, and lasso tools, allowing for meticulous inpainting. Shakker.AI harnesses powerful algorithms that not only analyze user input but also generate images that resonate with the desired styles and themes. By interpreting commands with precision, the technology successfully merges the computational strength of AI with artistic expression, resulting in outputs that are both distinct and of exceptional quality. Moreover, Shakker's user-friendly design ensures that anyone, regardless of their technical expertise, can embark on their creative journey with ease and confidence.

UbiOps serves as a robust AI infrastructure platform designed to enable teams to efficiently execute their AI and ML workloads as dependable and secure microservices, all while maintaining their current workflows. In just a few minutes, you can integrate UbiOps effortlessly into your data science environment, thereby eliminating the tedious task of establishing and overseeing costly cloud infrastructure. Whether you're a start-up aiming to develop an AI product or part of a larger organization's data science unit, UbiOps provides a solid foundation for any AI or ML service you wish to implement. The platform allows you to scale your AI workloads in response to usage patterns, ensuring you only pay for what you use without incurring costs for time spent idle. Additionally, it accelerates both model training and inference by offering immediate access to powerful GPUs, complemented by serverless, multi-cloud workload distribution that enhances operational efficiency. By choosing UbiOps, teams can focus on innovation rather than infrastructure management, paving the way for groundbreaking AI solutions.

Gemma represents a collection of cutting-edge, lightweight open models that are built upon the same research and technology underlying the Gemini models. Created by Google DeepMind alongside various teams at Google, the inspiration for Gemma comes from the Latin word "gemma," which translates to "precious stone." In addition to providing our model weights, we are also offering tools aimed at promoting developer creativity, encouraging collaboration, and ensuring the ethical application of Gemma models. Sharing key technical and infrastructural elements with Gemini, which stands as our most advanced AI model currently accessible, Gemma 2B and 7B excel in performance within their weight categories when compared to other open models. Furthermore, these models can conveniently operate on a developer's laptop or desktop, demonstrating their versatility. Impressively, Gemma not only outperforms significantly larger models on crucial benchmarks but also maintains our strict criteria for delivering safe and responsible outputs, making it a valuable asset for developers.

Makya stands out as the pioneering user-centric SaaS platform dedicated to AI-enhanced de novo drug design, particularly emphasizing Multi-Parametric Optimization (MPO). This innovative tool empowers users to create novel and easily synthesize compounds based on a multi-objective framework, achieving unprecedented levels of speed, efficiency, and variety. Makya incorporates a range of generative algorithms tailored to various stages of drug development, from hit discovery to lead optimization; it includes a fine-tuning generator for pinpointing ideal solutions within your specified chemical landscape, a novelty generator designed to explore fresh concepts for re-scaffolding and hit discovery, and a forward generator to create a targeted library of compounds that can be readily synthesized from commercially available starting materials. The recently introduced Makya 3D module significantly improves both the user interface and the scientific capabilities of the platform. With a comprehensive array of 3D modeling functionalities available for both ligand-based and structure-based approaches, Makya 3D allows for the calculation of 3D scores, which can be seamlessly utilized to guide compound generation within the platform. This integration not only enhances the design process but also offers researchers deeper insights into their molecular designs.

Join us in our endeavor to make offensive security accessible to all by providing customized, top-tier solutions that cater to the specific requirements of both professionals and organizations. Transition from traditional terminals to a dedicated integrated development environment (IDE) designed specifically for offensive security. With Trickest, you can access a comprehensive library of tool nodes, integrate your own scripts, or conveniently utilize your preferred open-source tools, all within a single platform. Benefit from pre-designed workflows for standard tasks and a continually expanding selection of over 300 open-source tools favored by the security community. Execute your workflows seamlessly in the cloud with straightforward autoscaling options and effective cost management. Eliminate the hassle of manual infrastructure configuration and avoid unnecessary expenses for idle virtual private servers. Forget about sifting through filesystems for previous runs; instead, leverage Trickest’s organizational features like spaces, projects, and workflow versioning to effectively manage even the most intricate projects. Trickest is an invaluable resource for anyone involved in offensive security, including enterprise security teams, red teams, purple teams, specialized penetration testers, bug bounty hunters, security researchers, and educators, among others, enabling a collaborative approach to tackling security challenges.

Syhunt dynamically inputs data into web applications, examining the responses to assess potential vulnerabilities in the application code, thus automating web application security testing and helping to protect your organization's web infrastructure from various security threats. The Syhunt Hybrid interface adheres to straightforward GUI principles, emphasizing user-friendliness and automation, which allows for minimal to no user involvement before or during the scanning process, all while offering numerous customization options. Users can analyze past scanning sessions to identify newly discovered, unchanged, or eliminated vulnerabilities. Additionally, it creates a comprehensive comparison report that illustrates the progression of vulnerabilities over time by automatically juxtaposing data from previous scan sessions linked to a specific target, enabling organizations to better understand their security posture and make informed decisions regarding their web application defenses.

Adopt a proactive approach to cyber threat management from anticipation to response. Designed to enhance cybersecurity through comprehensive threat information, advanced adversary simulators, and strategic cyber risk-management solutions. Improved decision-making and a holistic view of the threat environment will help you respond faster to incidents. Organize and share your cyber threat intelligence to improve and disseminate insights. Access threat data from different sources in a consolidated view. Transform raw data to actionable insights. Share and disseminate actionable insights across teams and tools. Streamline incident responses with powerful case-management capabilities. Create dynamic attack scenarios to ensure accurate, timely and effective response in real-world incidents. Create simple and complex scenarios that are tailored to the needs of different industries. Instant feedback on responses improves team dynamics.

Enhancing patient care can be achieved through the secure and confidential sharing of data among healthcare professionals, ensuring the protection of privacy. Additionally, it is important to facilitate secure financial data analysis to effectively manage risks and detect fraud, while keeping client information encrypted and safeguarded. In the evolving landscape of digital marketing, creating targeted advertising and campaign insights without compromising user privacy can be accomplished through encrypted data analysis, especially in a post-cookie world. Furthermore, fostering data collaboration between various agencies is crucial, allowing them to work together efficiently without disclosing sensitive information to each other, thus bolstering both efficiency and data security. Moreover, developing applications for user authentication that maintain individuals' anonymity is essential in preserving privacy. Lastly, empowering governments to digitize their services independently of cloud providers can enhance operational trust and security. This approach ensures that the integrity of sensitive information is upheld across all sectors involved.

In Object Storage, objects are maintained across multiple availability zones that are geographically spread out. Each time you create, modify, or delete an object, all replicas are promptly updated to reflect those changes. You can manage Object Storage using various tools that are compatible with Amazon S3, such as the API, CLI, WinSCP, Java SDK, or Python SDK. To begin utilizing Object Storage, navigate to the Yandex Cloud management console and set up your initial bucket. After creating the bucket, you can easily upload files by dragging them onto the designated bucket screen. The physical infrastructure is housed within Yandex's highly secure data centers, which prioritize safety and reliability. All data is encrypted, ensuring that even individuals with access to the physical media cannot decipher the information stored within. This level of security provides users with peace of mind regarding the safety of their data.

Serverless computing is particularly well-suited for applications that experience fluctuating loads. The automation of storage scaling, query execution, and backup processes simplifies management significantly. With serverless architecture, the service API's compatibility enables seamless integration with AWS SDKs across various programming languages such as Java, JavaScript, Node.js, .NET, PHP, Python, and Ruby. YDB is strategically hosted across three availability zones, ensuring continued availability even in the event of a node or zone failure. In situations where hardware or a data center encounters issues, the system is designed to recover automatically and maintain operational continuity. YDB is optimized for high-performance environments, capable of handling hundreds of thousands of transactions each second while keeping latency minimal. Additionally, the architecture has been specifically developed to support the management of vast data volumes, accommodating hundreds of petabytes efficiently. This robust design makes it an exceptional choice for businesses requiring reliability and speed in their data processing needs.

Effortlessly tap into, explore, and interact with innovative solutions that enhance both productivity and influence. Workspace serves as your primary resource for a wide array of information—ranging from extensive datasets and analytical tools to reliable news and various content types. It incorporates a cohesive developer environment that provides the flexibility to utilize and interpret data, as well as the ability to create and share customized applications, systems, and tools within an open community that fosters creativity and collaboration. Gain access to top-tier data analytics and solutions powered by AI and contributions from the community. We provide exceptional, curated resources across numerous asset classes, which include ESG-centric portfolio suggestions and alternative data insights. With its user-friendly, browser-like interface, Workspace simplifies the process of locating and analyzing the information you require, while also enabling you to track market trends across multiple screens. This seamless integration of tools and resources ensures that users can maximize their efficiency and effectiveness.

Integrate semantic relevance alongside user feedback to effectively extract the best document segments in your retrieval-augmented generation framework. Additionally, merge semantic relevance with document recency in your search engine, as newer content is often more precise. Create a dynamic, personalized e-commerce product feed that utilizes user vectors derived from SKU embeddings that the user has engaged with. Analyze and identify behavioral clusters among your customers through a vector index housed in your data warehouse. Methodically outline and load your data, utilize spaces to build your indices, and execute queries—all within the confines of a Python notebook, ensuring that the entire process remains in-memory for efficiency and speed. This approach not only optimizes data retrieval but also enhances the overall user experience through tailored recommendations.

The innovative XetaBase platform streamlines tertiary analysis by aggregating, indexing, and enriching secondary genomic data, which facilitates ongoing re-evaluation to reveal valuable insights for research and clinical applications. By enhancing data management practices, XetaBase allows for the economical utilization of genomic information both in laboratories and clinical settings. The platform is designed to handle expansive genomic datasets, where increased volume and complexity lead to improved insights and outcomes. Built on the open-source OpenCB software framework, XetaBase is a genomic-native technology that addresses the demands for scalability, speed, and innovative re-interpretation in genomic medicine. Zetta Genomics provides an advanced genomic data management solution tailored for the era of precision medicine. This transformative platform eliminates outdated flat file methods, introducing actionable and relevant genomic data into both laboratory and clinical environments. Furthermore, XetaBase not only supports ongoing re-interpretation but also adapts effortlessly as databases expand to include more comprehensive genome sequences, ensuring that users stay at the forefront of genomic advancements.

BlueFlag Security offers a comprehensive defense mechanism that safeguards developer identities and their associated tools throughout the software development lifecycle (SDLC). It's crucial to prevent uncontrolled identities—both human and machine—from becoming a vulnerability in your software supply chain. Such weaknesses can provide attackers with an entry point. With seamless integration of identity security throughout the SDLC, BlueFlag protects your code, tools, and underlying infrastructure. The platform automates the optimization of permissions for both developer and machine identities, strictly applying the principle of least privilege within the development environment. Furthermore, BlueFlag maintains robust identity hygiene by deactivating users who are off-boarded, managing personal access tokens efficiently, and limiting direct access to developer tools and repositories. By continuously monitoring behavior patterns across the CI/CD pipeline, BlueFlag ensures the prompt detection and prevention of insider threats and unauthorized privilege escalations, thus enhancing overall security. This proactive approach not only protects against external attacks but also fortifies the internal integrity of your development processes.