krylov® is now an Anthropic build partner
What joining the Anthropic Partner Program means for clients building on Claude — early model access, co-engineering support and faster eval turnaround on production AI agents.
After a year of shipping production agents on Claude, krylov® is now an official member of the Anthropic Partner Program. It is a small piece of paper that unlocks a surprising amount of day-to-day leverage for teams building on Claude.
What the Anthropic Partner Program gives us
Three things matter in practice for Claude builds. Early access to new model releases so we can benchmark and integrate before general availability. A direct line to the applied research team when a client hits a hard eval failure. And a co-engineering track for the largest enterprise deployments, where Anthropic joins technical review sessions.

Most of the partnership shows up in unglamorous places: a benchmark rerun against a new model version, a schema that stops drifting, an eval that finally fails for the right reason.



None of that photographs well, because it looks like ordinary engineering — which is the point. The reel below is the studio where those reviews happen.
What it changes for teams building on Claude
If your team is shipping on Claude, the partnership compresses the gap between "works on my laptop" and "works in production for 50,000 users." Faster evaluation loops, clearer deprecation signals, model-version-specific tuning — the plumbing that normally slows AI teams down.
What comes next
Two new agent engagements kick off this quarter — a support copilot for a fintech and a procurement agent for a retail group, both built on Claude with Anthropic co-engineering. Two more MVP slots open for Q3.
More builds from the shelf.
Same team, different problems. Recent cases in adjacent industries — each shipped with the senior people who own outcomes.
Tell us your task
Projects by type grow year over year
MVP, redesign, AI and support — cumulative
The studio profile across key axes
Speed, quality, transparency, engineering
Research, design and build overlap
Parallel streams — not a waterfall

