Missing layer:
Your definition of “good”
Generic models are powerful but don't know how your teams work.
Like an employee, enterprise AI needs to be onboarded on your tools, workflows,
and standards — with built-in feedback infrastructure that compounds learning over time.
Build AI agents designed for your company
Weeks, not years. Our platform converts your internal data, workflows, and domain expertise into agents that operate like your team.
Absorb organizational context
Map workflows, ingest company knowledge, and conduct AI-moderated interviews to build your organizational context graph.
Specify agent behavior
Turn your context graph into programmatically defined agent behavior specs and quality guardrails.
Deploy agent
Deploy agents using any model, agent framework, or internal system your organization already uses.
Iterate on failures
Catch agent failures and feed automated and human-driven corrections back into the system, compounding accuracy over time.
Every deployment is supported by world-class AI research and engineering talent, on the ground delivery, and oversight from senior leadership with experience at the frontier of AI deployment.
Enterprise AI doesn't fail from weak models.
Enterprise AI fails from not knowing what “good” looks like.
We built this system for every leading AI lab. Now we bring the same infrastructure to enterprise.
Rapid Agent Iteration
Quickly identify gaps in agent performance and optimize prompts in tight feedback loops.
Eliminate Silent Failures
Surface errors with clear paths for correction — no more invisible mistakes compounding.
Safe Deployment
Guardrails and observability de-risk deployment in high-stakes processes requiring nuanced judgment.
Suited for every workflow
Our framework generalizes across departments — wherever complex, multi-step work happens.
Recruiting
Source, screen, outreach, and update trackers across Slack, docs, and spreadsheets.
Business Operations
Drive milestone reviews, track KPI performance, and coordinate scheduling across teams.
Engineering
Handle high-volume dev workflows, write backend scripts, monitor pipelines, and debug failures.
Finance
Streamline bulk payment workflows, extract obligations, coordinate stakeholders, and reconcile transactions.
Customer Service
Resolve support tickets end-to-end with context-aware agents that learn and improve continuously.
Our first customer: Mercor
We ran it on ourselves first and dramatically outperformed existing workflows in customer success, recruiting, and IT support.
Customer Support Transformation
System scaled from 5% AI resolution at launch to 90% E2E resolution as agents iterated automatically on evals that humans continuously enriched with context from escalated tickets
$1.4M saved
Rapid ROI, within 2 weeks
Close Time dropped by 73%
70% of tickets were handled or assisted by agent
Outperformed humans
Agent CSAT outperformed our team
Today, agents have a 10% higher CSAT than human agents
Agent response time ~10min v. 2 days
Ready to empower your workforce?
From initial discovery to production-grade AI agents delivering measurable ROI in 4–6 weeks.