Enterprise-grade AI agent buildouts

We build, deploy, and fine-tune agentic AI that integrates seamlessly into your existing infrastructure

AI agents are only as intelligent as the data that shapes them.

To make reliable decisions, they need more than massive datasets—they need context, judgment, and domain expertise.

micro1's human data engine combines human expertise with advanced AI to create agents that think, decide, and perform with human-level judgment to deliver real-world value.

How it works

Define

We’ll collaborate to identify your goals and success metrics, translating them into focused agent requirements. Then, baseline evaluations will shape an intelligence rubric that guides how the agent reasons, acts, and stays compliant.

Build

Using our human data engine, we combine expert-annotated prompts with fine-tuned models to teach domain-specific reasoning. Through RL training in simulated environments, agents learn to make accurate, goal-driven, and compliant decisions before launch.

Deploy

We integrate your agent seamlessly into existing workflows and systems, ensuring enterprise-grade reliability through security reviews, human validation, and controlled rollout strategies.

Evaluate & Refine

After launch, continuous evaluations track performance, compliance, and ROI. Human experts audit, fine-tune, and evolve your agent as your operations and goals change, keeping it accurate, aligned, and high-performing.

Roadblocks for enterprises

Limited data capacity

Enterprises often have the vision and budget for AI agents, but their lack of human data infrastructure keeps progress out of reach.

Performance and ROI

Models hallucinate, behave unpredictably, and do not offer a reliable method to demonstrate ROI for agents.

Trust and compliance remain a black box

Usage of AI systems are often opaque with unclear compliance risks, making it difficult to trust them and safely scale their use.

micro1's solution

End-to-end, white-glove development

We’ll adapt to your unique requirements and handle agent development end-to-end: from recruiting top domain experts for model fine-tuning and evals, to deploying production-ready systems that learn and improve over time.

Catch failures and pinpoint ROI

We set up real-world evaluation environments around your workflows where agents are stress-tested against live scenarios. Weak outputs, hallucinations, and risky behaviors are surfaced and fixed long before they reach customers.

Bulletproof, multi-layered QA

Every dataset goes through multiple layers of review, from expert validation to manager oversight and automated checks. Quality is reinforced at every stage to ensure outputs are complete, accurate, and aligned with client standards.