Who We Are
We build AI that ships.
Not demos. Not slide decks. Production systems running against real data, real money, and real environments — every day.
AI built for the environments it actually has to work in
Arclight was built by someone who spent years embedded inside the organizations AI is now being asked to transform — federal agencies, regional banks, healthcare systems, and research institutions. We know how decisions get made, where the risk tolerance sits, and what it takes to get something through procurement, security review, and into production.
That background isn't a footnote. It's the reason our deployments land differently than what you get from a team that has never been inside the environments they're selling into.
Environments We Know
- Federal government agencies
- Regional banking institutions
- Healthcare systems
- Research organizations
All client relationships are managed under professional E&O insurance, crime coverage, and surety bonding through Hartford policies.
We run what we build
Most AI consultants have never deployed an AI system. We run production AI daily — a multi-agent trading system covering 200+ instruments, coordinating across 7 specialized agents and 12+ models. That operational perspective changes the advice.
It's the difference between recommending a technology because it sounds impressive and recommending it because you've lived with its failure modes at 2am when something breaks in a way nobody anticipated.
Arclight is a small firm by design. Every engagement gets our principal — not a junior consultant with a slide deck. That means honest assessments, direct communication, and accountability that scaled teams often can't offer.
How We Work
Three principles that show up in every engagement.
Ship Don't Demo
A compelling demo that never makes it to production is just an expensive PowerPoint. We prioritize getting things deployed and working over making things look good in controlled conditions.
Honest Assessment
If AI isn't the right solution for your problem, we'll tell you. If your timeline is unrealistic, we'll say so. Our long-term reputation depends on giving advice we'd stand behind a year later.
Day-Two Thinking
We plan for what happens after launch. That means documentation, monitoring, retraining paths, and a realistic view of the ongoing maintenance that production AI systems require.
Work with us
Small team, serious work. If what you've read here resonates, we'd like to hear about what you're building.
Get in Touch