Audience

Developers and any user searching for a solution to debug and monitor generative AI features

About Autoblocks

Developer-centric tool to monitor and improve AI features powered by LLMs and other foundation models. Our simple SDK gives you an intuitive and actionable view of how your generative AI applications are performing in production. Integrate LLM management into your existing codebase and developer workflow. Use our fine-grained access controls and audit logs to maintain full control over your data. Derive actionable insights on how to improve LLM user interactions. Not only are these teams best-equipped to integrate these new capabilities into existing software products, but their proclivity to deploy, iterate, and improve will also be ever more pertinent going forward. As software becomes increasingly malleable, we believe engineering teams will be the driving force behind turning that malleability into delightful and hyper-personalized user experiences. Developers will be at the center of the generative AI revolution.

LangSmith
LangSmith
Unexpected results happen all the time. With full visibility into the entire chain sequence of calls, you can spot the source of errors and surprises in real time with surgical precision. Software engineering relies on unit testing to build performant, production-ready applications. LangSmith provides that same functionality for LLM applications. Spin up test datasets, run your applications over them, and inspect results without having to leave LangSmith. LangSmith enables mission-critical observability with only a few lines of code. LangSmith is designed to help developers harness the power–and wrangle the complexity–of LLMs. We’re not only building tools. We’re establishing best practices you can rely on. Build and deploy LLM applications with confidence. Application-level usage stats. Feedback collection. Filter traces, cost and performance measurement. Dataset curation, compare chain performance, AI-assisted evaluation, and embrace best practices.
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ReByte
ReByte
Action-based orchestration to build complex backend agents with multiple steps. Working for all LLMs, build fully customized UI for your agent without writing a single line of code, serving on your domain. Track every step of your agent, literally every step, to deal with the nondeterministic nature of LLMs. Build fine-grain access control over your application, data, and agent. Specialized fine-tuned model for accelerating software development. Automatically handle concurrency, rate limiting, and more.
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CognitiveScale Cortex AI
CognitiveScale Cortex AI
Developing AI solutions requires an engineering approach that is resilient, open and repeatable to ensure necessary quality and agility is achieved. Until today these efforts are missing the foundation to address these challenges amid a sea of point tools and fast changing models and data. Collaborative developer platform for automating development and control of AI applications across multiple personas. Derive hyper-detailed customer profiles from enterprise data to predict behaviors in real-time and at scale. Generate AI-powered models designed to continuously learn and achieve clearly defined business outcomes. Enables organizations to explain and prove compliance with applicable rules and regulations. CognitiveScale's Cortex AI Platform addresses enterprise AI use cases through modular platform offerings. Our customers consume and leverage its capabilities as microservices within their enterprise AI initiatives.
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Amazon SageMaker
Amazon SageMaker
Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models. Traditional ML development is a complex, expensive, iterative process made even harder because there are no integrated tools for the entire machine learning workflow. You need to stitch together tools and workflows, which is time-consuming and error-prone. SageMaker solves this challenge by providing all of the components used for machine learning in a single toolset so models get to production faster with much less effort and at lower cost. Amazon SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps. SageMaker Studio gives you complete access, control, and visibility into each step required.
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Company Information

Autoblocks
United States
www.autoblocks.ai/

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Product Details

Platforms Supported
SaaS
Training
Documentation
Support
Online

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