AI startups building developer tools for LLM orchestration with 20-100 employees
Explore companies matching “AI startups building developer tools for LLM orchestration with 20-100 employees” through Canonical’s structured public company search.
Top 20 results
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infron.ai | Infron provides a unified platform for accessing and orchestrating over 300 of the latest AI frontier models. They offer LLM APIs, model deployment, and AI infrastructure management, enabling businesses and developers to efficiently integrate and leverage advanced AI capabilities. | San Francisco, California, United States |
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tianrang.com | Tianrang provides a full-stack development platform for large language model (LLM) applications, simplifying the entire lifecycle from development to deployment and management. Their platform aims to empower businesses to build and scale AI-driven conversational applications efficiently. | Shanghai, Shanghai, China |
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greatwave.ai | Great Wave AI provides an evaluation-first agent orchestration platform tailored for government and regulated industries. Their solution focuses on building trust, control, and quality in AI systems, enabling secure and reliable AI deployment. | London, England, United Kingdom |
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Martian
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withmartian.com | Martian provides a platform that optimizes the use of Large Language Models (LLMs) for developers and companies. Their solution aims to enhance AI integration by dynamically routing prompts to the most suitable LLM, thereby improving performance, reducing costs, and ensuring compliance. | San Francisco, California, United States |
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Embedchain
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embedchain.ai | Embedchain is a platform designed to simplify the development and deployment of personalized Large Language Model (LLM) applications. It empowers developers and organizations to quickly build and integrate LLM capabilities into their products and services. | |
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Portkey
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portkey.ai | Portkey provides a comprehensive production stack for Generative AI builders, simplifying LLM orchestration and management. Their platform aims to accelerate the time-to-market for AI applications by offering an all-in-one solution for production needs. | San Francisco, California, United States |
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Dot Txt
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dottxt.co | .txt develops tools for software developers to improve the reliability and predictability of Large Language Models (LLMs). The company offers a B2B SaaS solution that likely uses a subscription or usage-based revenue model, focusing on preventing LLM errors and reducing token usage to increase efficiency and cost savings for its customers in the AI software development industry. This is achieved by implementing "guardrails" to eliminate unproductive LLM outputs, resulting in more predictable and software-understandable results. | Ridgewood, New Jersey, United States |
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Agentuity
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agentuity.com | Agentuity provides a comprehensive platform for building, testing, deploying, and scaling autonomous AI agents. They offer agent-native cloud infrastructure and tools designed to streamline the development and production process for AI agents. | Austin, Texas, United States |
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langdb.ai | LangDB provides an enterprise AI gateway that secures, governs, and optimizes AI traffic for over 250 LLM models. Their solution aims to help organizations manage and reduce costs associated with AI adoption. | Singapore, Central Region, Singapore |
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Chatter
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trychatter.ai | TryChatter.ai offers a Software-as-a-Service (SaaS) platform for building, testing, and versioning Large Language Model (LLM) deployments, serving developers and data scientists in the AI industry globally. The platform features a comprehensive suite of tools, including automated testing, version control, and collaboration features, streamlining the LLM development lifecycle through an all-in-one approach and utilizing the Jinja2 templating engine; a freemium or subscription-based revenue model is likely. | Philadelphia, Pennsylvania, United States |
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humanloop.com | Humanloop provides an LLM evaluation platform for enterprises, enabling teams to collaboratively develop and refine AI prompts and agents. Their solution streamlines the end-to-end workflow for building and observing AI products. | San Francisco, California, United States |
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insitu.im | InSitu develops lightweight, LLM-native utilities and tools that make AI practical and useful within real products. Their solutions focus on enabling seamless integration of AI capabilities for businesses operating at scale. | |
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Pica Software Development Applications
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picaos.com | Pica provides a platform and SDK for developers to build agentic automations by connecting Large Language Models (LLMs) to a vast array of actions and external APIs. Their solution aims to accelerate the creation of AI-powered applications and workflows. | San Francisco, California, United States |
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loop.ai | Loop AI provides an enterprise AI control center platform that enables businesses to build, manage, and optimize their AI agents and solutions. Their platform is designed to be vendor-agnostic, allowing organizations to leverage any LLM/ML, legacy systems, and infrastructure. | New York, New York, United States |
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dagger.io | Dagger provides a platform for building modern software factories, enabling users to define and run reusable software delivery workflows and development environments. It aims to streamline the entire software development lifecycle, from code to deployment. | San Francisco, California, United States |
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Orquesta
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orq.ai | Orq.ai provides an AI Engineering & Evaluation Platform that empowers teams to build, deploy, and monitor AI products, with a specialized focus on Large Language Model (LLM) applications. Their platform aims to streamline the entire AI product lifecycle, from initial experimentation to production deployment. | Amsterdam, North Holland, The Netherlands |
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latitude.so | Latitude is an AI engineering platform designed for product teams to build, test, deploy, and observe custom AI agents. It provides a comprehensive suite of tools to streamline the entire AI agent lifecycle, focusing on reliability and observability. | Barcelona, Catalonia, Spain |
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edenlabs.cloud | Eden Labs offers a Software as a Service (SaaS) platform for building and deploying large language models (LLMs), targeting developers, AI researchers, and businesses needing custom LLMs. The platform aims to provide ease of use, speed, and cost-effectiveness in LLM development and deployment, likely utilizing a subscription-based or usage-based revenue model. While specific technologies and the complete competitive differentiation remain unclear, the company serves a global market. | |
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vellum.ai | Vellum provides a platform for building, deploying, and managing AI agents. They empower product-led companies and global enterprises to leverage AI for automation and enhanced business functions through a user-friendly, low-code approach. | New York, New York, United States |
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deepauto.ai | DeepAuto.ai provides enterprise-grade AI platforms and services focused on building and deploying "Enterprise Agentic Intelligence." Their solutions streamline the AI development lifecycle, enabling organizations to efficiently create, optimize, and manage AI applications. | Seocho, Seoul-t'ukpyolsi, Korea, Republic of |
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