AI Agents You Can Trust
in Production
Maximize agent accuracy with a team powered by competition winners.
Agent quality can slip through your fingers. We know how to stabilize and maximize it.
Strong teams run quality evaluation and monitor reliability.
But this still leaves two core questions:
- Can it be made better?
- Will additional investment deliver proportional gains?
We push the accuracy and reliability of your agent system toward the realistic upper range for your workflow, using competition-tested SOTA (state-of-the-art) techniques.
Lessons Learned From an Agent Reliability Competition
In late 2025, we participated in a competition-style benchmark called ERC3. Around 50 teams competed with a public leaderboard and a frozen private leaderboard to measure end-to-end agent task success.
One outcome stood out: the median final accuracy was around 40%, which is close to what we observe in real companies when agent systems face live, multi-step business workflows. The top score reached about 70%, showing what becomes possible when agent systems are engineered and optimized aggressively under pressure. Top open-source model agents reached about 60%.
Solution Median Best
Open-Source Global
Top
What We Can Offer
Starting From Scratch
We design and build your agent system end-to-end, with quality evaluation and reliability controls built in from day one.
Improving an Existing Agent
Increase agent accuracy and strengthen control with evaluation, success criteria, and regression checks.
Who You’ll Work With
How We Deploy Safely
Private Deployment
Private deployment is available (on-prem / within your environment) when required.
Operational Control
Clear permissions, approvals, and safe fallbacks are built into the system.
Staged Rollout
Rollout is staged, with monitoring and a rollback plan.
Security Review
We support your security review and align with your data handling requirements.
Discuss Your Case
