Startup
Cekura
Test, Monitor and Self Improve voice agents
Cekura is an automated QA platform for voice and chat AI agents. It runs synthetic conversations before an agent goes live, monitors production calls for drift, and can block deploys when release test suites fail. It also does adversarial red-teaming for jailbreaks and data leaks, and suggests prompt fixes for issues it reproduces in simulation.
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