Market landscapes / Observability, Evaluation & Testing / LLM & Agent Observability
Canyon Code
Workflow intelligence for multi-agentic AI applications. Canyon Code lets enterprises observe, optimise and govern their AI agents, routing models intelligently to cut costs and set governance policies at workflow level.
LLM & Agent Observabilityalso: Model Gateways & Routing1-10 peoplecanyoncode.ai ↗
Updated 9 November 2026
Hiring now
From Canyon Code's own jobs board, checked every week.
Where the roles are
Against its sector
9 of the 21 active companies in LLM & Agent Observability are advertising roles. Langchain has the most, with 96.
Who Canyon Code competes with
The other active companies we file under LLM & Agent Observability, sorted by how much they are hiring.
Where this fits
Tracing, monitoring and debugging LLM and agent systems once they are running. The observability platforms that already exist would rather buy this than build it.
We track hiring and team changes across all 84 companies in Observability, Evaluation & Testing.
Our talent report for this sector shows how Canyon Code's team compares with its competitors.
What is in it:
- Every company's team size, side by side, grouped by sub-sector
- Who grew their team over the last year, and by how much
- Who is losing people: attrition for each company, against the sector average
- Who is hiring right now, and how many open roles each has
I am Ben Jackson. I map this market, and I hire the commercial teams inside it: sales, marketing, product and delivery.
If you are building a team at a company like Canyon Code, want to work at one, or think Canyon Code is filed in the wrong place, put 20 minutes in my diary.
Book 20 minutes with Ben →