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Conifer: Least cost routing system to reduce 70%+ token spend. It is listed under Development & Code on AI Registry as a paid tool.
The tools below are approved listings in the same category, ordered by how closely their tags match Conifer. This is an automatic list. We have not written a researched verdict for Conifer yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
Automatically find and fix your software vulnerabilities
AI-native SAST platform that finds 2x more real vulnerabilities with 75% fewer false positives. Automated vulnerability detection, instant fixes, and seamless CI/CD integration for modern DevOps teams. Find authentication bypasses, logic bugs, and security flaws that traditional tools miss.
Context layer for production-grade AI agents
Airbyte Agents is the context layer your AI agents query before they act. Features the Context Store, which unifies entities across Salesforce, Stripe, Zendesk and more. Use it from the UI, your LLM via MCP, or our SDK. 40% fewer tool calls, up to 80% fewer tokens. Airbyte Data Replication is the leading open data move...
Authorization Infrastructure securing AI at OpenAI, Zoom, & more
We build the tools companies need to provide performant and scalable authorization for their applications. We’re founded by 3 successful entrepreneurs with expertise in enterprise software, most recently as leaders at Red Hat. Jake and Joey met on the APIs team at Google in 2010. They went on to found Quay, where Jimmy...
The programming language for AI
Boundary is building BAML -- a programming language to build AI agents. We used to code in assembly, and moved on to C. From C, we moved on to higher level languages like Python. Now we are going from Python to natural language. What does the code look like when 50% of the business decisions is decided by an AI agent /...
Building infrastructure tools to help large companies customize their…
Companies struggle to customize their generative AI models by taking advantage of their existing customer and enterprise data, in real-time. Chima solves for this through a sleek, interoperable layer before the standard generative AI models are applied.