Startup
Guardrails AI
The AI Reliability Platform
Guardrails AI provides a guardrails framework for building, governing and scaling production GenAI with any LLM and deployment environment. It offers runtime guardrails that block bad outputs, a Guardrails Hub of validators, and tooling to generate eval datasets that surface agent failures. The open-source guardrails library is Apache-2.0 licensed Python.
In research (2)
- Concordat: Typed Sessions for LLM AgentsVerdict: Useful
Oct 27, 2026 · Commercial guardrail layer that validates outputs. Concordat instead gates which tools are offered in each protocol state.
Oct 22, 2026 · Runtime guard products are the untested defence layer against the persuasion attacks shown here.
Neighbours in the directory
San Francisco, CA · Est. 2022
The de-facto standard toolkit for building LLM applications and agents.
LangChain makes the LangChain framework and LangGraph, the low-level orchestration standard for stateful, controllable agents, plus the LangSmith platform for tracing, evaluating and monitoring them in production.
~$75M raised
San Francisco, CA · Est. 2023
Enterprise-grade evals, data and AI gateway.
Braintrust turns prompts and agent traces into testable datasets and CI, plus an inference gateway — helping teams measure whether harness changes actually improve agent quality.
Berkeley, CA · Est. 2020
Observability and evaluation for AI — makers of OSS Phoenix.
Arize traces and evaluates LLM and agent systems in production; their open-source Phoenix tracer is a common instrumentation choice for agent harnesses that need to be debuggable.
Sources
Verified Oct 29, 2026