● orbitone · ai software lab
OrbitOne is a small engineering lab for founders shipping agents, copilots, and AI-native software. Less slideware. More production paths, evals, and interfaces people finish using.
typically 6–14 week engagements · senior builders only · remote-first
// what we take on
From zero to shipped: model selection, UX for uncertainty, backend orchestration, and a release path that doesn’t die in a notebook.
Tools, memory, routing, human-in-the-loop. We design agents for production failure modes — timeouts, tool abuse, bad plans — not just happy paths.
Drop intelligence into existing software: copilots, document pipelines, search, support automation. Measurable quality bars, not “we added a chatbot.”
// selected systems
Internal agent fleet for a logistics SaaS — tickets, ERP lookups, and exception routing with full audit trails.
Contract Q&A over 40k legal docs with citation-first answers and continuous eval against partner-defined rubrics.
Generation studio for a design tool — streaming previews, versioning, and rate-aware multi-model routing.
// operating rules
AI work fails when teams optimize for demos and press. These are the constraints we hold — on every engagement.
Demos impress. Systems survive traffic, weird inputs, and Friday deploys. We optimize for the second one.
Every serious AI feature needs a quality bar you can re-run. We build the harness with the product, not after the incident.
Provider lock-in is a product risk. We design for swap-ability: adapters, structured contracts, and cost/latency knobs.
Autonomy is a spectrum. We place review, escalation, and override where failure is expensive — and automate the rest.
tools we actually touch
// the lab
OrbitOne is intentionally small. You work with the people writing the agents, designing the product surface, and wiring the evals — not a bait-and-switch bench of contractors.
Background across product engineering, ML-adjacent systems, and AI UX. We take a few concurrent builds so context doesn’t evaporate mid-sprint.
meet the operators →// from people who shipped with us
“They killed our ‘chatbot on the homepage’ plan in week one and replaced it with a retrieval + workflow agent that actually closed tickets. The eval suite is still running in CI.”
“First team that treated model cost and latency as product requirements, not afterthoughts. We swapped providers twice without rewriting the app.”
// next
Send scope, constraints, and timeline. If we’re a fit, you’ll get a clear yes, a rough shape of the build, and a discovery slot. If not, we’ll say so fast.