orbitone · signal

What it felt like on the other side of the build.

Quotes from people who shipped agents, retrieval systems, and AI product surfaces with us — not five-star fluff about “vision.”

typical engagement

6–14 wks

operators on a build

2–3

what we optimize for

ship + evals

SIG-01

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.

Jane Cooper · head of product, lin & co

ORB-09 · northstar support

48% auto-resolve

SIG-02

First team that treated model cost and latency as product requirements, not afterthoughts. We swapped providers twice without rewriting the app.

Michael Chen · founder, innovatelab

ORB-17 · forge ui

provider-portable stack

SIG-03

We had a notebook that “worked.” OrbitOne turned it into a multi-agent ops path with audit trails legal would actually sign off on. Boring in the best way.

Robert Okonkwo · vp engineering, freightlane

ORB-04 · relay

−62% handle time

SIG-04

Citation accuracy was the only metric that mattered to our partners. They built the eval harness first, then the product surface. Order of operations was everything.

Priya Nair · general counsel / product, clearform

ORB-11 · ledgermind

91% citation accuracy

SIG-05

No account manager theater. Three people who already knew the stack. We got a thin vertical in production instead of a 40-page strategy PDF.

Sam Torres · cto, helix ops

engagement model

6-week first ship

SIG-06

They put online shadow evals on our search product so we stopped arguing about vibes in standup. Regressions show up in PRs now.

Elena Vogt · ml eng lead, searchco

ORB-21 · prism eval

evals on every PR

// next signal

Want to be the next one with a metric?

Bring a hard problem. We’ll tell you if we can ship a path that earns a quote like these.