We partner with public and private enterprises to ship agentic systems that hold up in the real world — context-engineered, eval-gated, and wired as feedback loops that observe, act, and improve. Modern AI engineering, hardened by two decades at scale.
Trusted where the stakes are real
From the first line of code to 3 a.m. on-call — we own the whole arc. Four capabilities, one accountable team.
Agents that plan, call tools, and act — grounded in context engineering, retrieval over sensitive corpora, and evals you can actually trust. We ship models into the loop, not into a demo.
End-to-end product engineering for systems that carry real weight — high availability, auditability, and security baked in from the first commit.
We move legacy estates into the AI era without the rip-and-replace risk — strangler-fig migrations that keep the lights on while the future ships underneath.
We don't hand off and disappear. JarvisCrew runs what it builds — 24/7 reliability engineering, observability, and continuous hardening for the long haul.
We've turned frontier models into dependable infrastructure across regulated, high-consequence environments — agentic, private by default, human-in-the-loop, and model-agnostic. Our internal platform gives every engagement a running start.
Systems that plan, call tools, and act — not just autocomplete.
The right context, retrieved and shaped, beats a bigger prompt.
Observe, act, evaluate, improve — reliability compounds each cycle.
Every change gates on measurable quality, safety, and cost.
Years shipping mission-critical software
Uptime across operated systems
Regulated, enterprise-grade deployments
Senior, hands-on engineering
No theater, no endless discovery. We move in tight loops that turn uncertainty into shipped software.
We embed with your team, map the terrain, and find where AI actually moves the needle — not where it looks good in a slide.
A working system in weeks, not quarters. We de-risk the hard parts first and prove value against real data.
Security, evals, compliance, and scale. We engineer for the day everything goes right and the day it all goes wrong.
We run it with you or for you — reliability engineering, monitoring, and a roadmap that compounds.
A few representative engagements. Details anonymized — the systems are very real.
An AI triage layer that routes millions of customer requests to the right desk in seconds — cutting resolution time by 60% while keeping a full audit trail.
A retrieval + reasoning system that reads regulation like an analyst, flags risk before it lands, and shows its work for every decision.
Real-time anomaly detection across a continent-spanning sensor network — surfacing failures hours before they cascade.
JarvisCrew is run by senior engineers and architects with ~20 years each building and scaling systems the world depends on. No hand-offs to juniors, no offshore black box — the people who scope your work are the people who ship it.
Tell us what has to work. We'll tell you how AI gets you there — and then we'll build it.