AI strategy & agent engineering
Errbor helps companies decide where AI actually pays off, then engineers the agents, data layer and infrastructure to run it in production — embedded with your team, not handed over in a slide deck.
Pilots that impress in a meeting but never touch real data, real users or real permissions.
Strategy work that stops at a recommendation, leaving your engineers to guess at the hard parts.
Vendors selling a platform when what you need is a clear answer about which problems are worth solving.
Services
We map your workflows, data and constraints to find the use cases with real ROI — and tell you plainly which ones aren't worth it yet.
We build agent systems inside your stack — from a single workflow automation to fleets of agents running in parallel — with the data and infrastructure underneath them done properly.
We leave your team able to run, extend and govern what we built — so the capability stays after we do.
Approach
01 / Assess
We sit with the people doing the work and audit the data, systems and constraints behind it.
02 / Prioritize
Every opportunity gets scored on value, feasibility and risk. You get a roadmap you can defend.
03 / Build
We ship in short cycles against real users and real data, with evals from day one.
04 / Hand off
Your team takes ownership with documentation, training and a clear path for what's next.
Why Errbor
One co-founder is a former Palantir software and forward deployed engineer with a Carnegie Mellon Electrical & Computer Engineering background — trained to work on-site, inside messy data, and to model a business as an ontology before writing a line of AI.
The other has built auth, payments and backend systems at consumer tech companies including LinkedIn. Your AI ships on a foundation that handles real users, real money and real identity.
Our internal tooling gives every agent its own atomic environment — code branch, database branch and secrets namespace — so many agents and developers can work in parallel without stepping on each other. You get patterns we've already battle-tested.
We run local GPU inference ourselves and do the break-even math against hosted APIs, so your roadmap reflects what AI will actually cost at scale.
Agents touch source code, credentials and money. Having built auth and payments systems, we design scoped permissions, secret isolation and review gates from day one.
We recommend what fits your stack and budget — including building nothing at all when that's the right call.
Engagements
Fixed scope · fixed fee
Assessment, opportunity map and prioritized roadmap. The fastest way to know where to invest.
Scoped per use case
Strategy through production for one high-value use case, including evals and handoff.
Monthly retainer
Ongoing technical leadership for teams building an AI capability without a full-time hire.
A 30-minute call, no pitch deck. Tell us what you're working on and we'll tell you honestly whether we can help.
Start the conversation
Send a few lines on what you're working on and what's in the way. You'll hear back from a founder directly.
Email us