AI consulting for industries that can’t afford to get this wrong.
Kalman AI is a high-end consulting firm. We design, build and operate production-grade AI agents for financial services, healthcare, and robotics — the industries where regulation, accuracy, and accountability are not optional.
Most enterprise AI work today stalls between a demo and an audit.
Independent CTO benchmarks now place the enterprise pilot-failure rate at around 95% — even as 94% of the same CTOs report measurable productivity lifts from the AI work that did ship. The gap is the engineering layer between a model that works and a system that is trusted, audited, and still in use a year later.
We exist for that gap.
A goal-driven control loop, with a model somewhere inside it.
An agent owns a piece of operational control flow: it observes, plans, acts, evaluates, and only stops when the goal is achieved or it has decided it cannot get there. Every decision is logged. Every claim is traceable. Every confidence is explicit.
Four engineering layers. They compound when you build them together.
Production AI agents
End-to-end domain agents — workflow design, architecture, deployment, operations. Built for the customer's environment, not for a demo stage.
Multi-model orchestration
Routing, provider abstraction, open-weight integration, cost-and-latency control. The layer that decides which model handles which request.
Sovereign & hybrid deployment
On-prem, VPC-native, sovereign cloud, hybrid routing. Frontier-grade outputs without sending sensitive data outside the perimeter.
Evaluation, quality & governance
Custom eval harnesses, hallucination monitoring, deterministic fallbacks, audit trails, red-teaming. The control plane around the data plane.
Three verticals where the cost of being wrong is real.
Financial services
Wealth management agents, KYC and onboarding automation, fraud and risk decisioning, structured analyst briefings — built for regulated data and audited outcomes.
Healthcare
Clinical reporting, decision-support agents, imaging-grounded drafting, structured retrieval over patient data — designed for HIPAA-class environments from the first line of code.
Robotics
Vision-language-action systems for autonomous inspection, manufacturing, and logistics. Embodied AI that connects perception, planning, and action.
“A production agent is a goal-driven control loop, with a model somewhere inside it, surrounded by the engineering it takes to make a probabilistic system behave like a reliable one.”— From the Kalman AI primer
Working notes from the practice.
- № 01What Is an AI Agent? A Technical Primer7 min ↗
- № 02Multi-Model Orchestration — How Production AI Stacks Actually Work8 min ↗
- № 03Sovereign and Hybrid Deployment — Building AI Inside the Perimeter8 min ↗
- № 04Evaluation, Quality and Governance — The Layer That Decides Whether Your AI Survives Production8 min ↗