AI agent development for US companies, deployed in your cloud.
Gaper builds and deploys supervised production AI agents for US companies, wired into your existing systems on the model that fits the job. We hand over the code, evals, and runbook, and your team owns what runs.
AI agent development for US companies is the end-to-end work of designing, building, integrating, and deploying production AI agents, software that plans and takes multi-step actions toward a goal, inside a company's existing US cloud, data, and auth, delivered with evals and a runbook the client's own team owns.
Most US teams have an AI pilot that demos well and a production system that never arrives. The gap is integration, evals, and a real owner at launch, which is exactly the part a slide deck skips.
- Does it touch real systems?
- Can the outcome be measured?
- Where does human approval stay?
- Who owns it after launch?
Book a free assessment. We will identify one high-leverage workflow, make the build-vs-buy call, and scope the smallest production release.
From strategy to production, owned by your team.
- 01
Map the workflow
We start from the documents, SOPs, portals, inboxes, and spreadsheets your team already uses, then turn the repeatable path into an agent workflow map.
- 02
Build the supervised agent
We build on OpenAI, Claude, Gemini, or the right model for the job, with evals, guardrails, citations, and human approval gates where risk matters.
- 03
Connect the stack
The agent gets the data layer, APIs, MCP tools, auth, and write-backs it needs to finish work inside your systems, not beside them.
- 04
Sandbox, verify, go live
We launch in a sandbox, verify every run, then move into supervised production with traces, rollback, and an owner.
Agents wired into the systems you already run.
Workflow agents
Agents scoped from your real SOPs, portals, inboxes, and spreadsheets, then turned into repeatable production runs inside your systems.
Retrieval and knowledge
Grounded answers over your documents and data, with citations and freshness, RAG built to hold up under real production load.
Tool and API actions
Agents that take action: update the CRM, file the ticket, reconcile the ledger, wired in through your APIs and MCP.
Evals and human gates
Automated evals, policy guardrails, and approval steps on signatures, submissions, and other actions that carry real risk.
In-cloud deployment
Deployed inside your US cloud on your data and auth, so the agent inherits your security posture instead of widening it.
Observability and handover
Traces, cost, and quality dashboards, plus a documented codebase and runbook your team owns and extends.
Built into your cloud, not bolted on
We deploy where your data already lives: your US cloud, your auth, your controls. The agent runs on OpenAI, Claude, or Gemini, whichever fits the job, and never widens your attack surface.
- Runs in your environment on your data and auth
- SSO, RBAC, and full audit logging
- No data retention you did not ask for
Your team owns the code
A forward-deployed team works alongside yours and hands over a system you fully control: clean code, evals, and a runbook. No black box, no lock-in, nothing trapped outside your stack.
- Documented, version-controlled codebase
- Evals and runbook delivered with it
- Extend and run it without us
Access your auth
Data your environment
Ops monitor or handoff
From pilot to production
Pilots are everywhere and production agents are rare. We design for that gap from day one: evals before users, guardrails on risky steps, and a named owner at launch. A first build can land in as little as 24 hours.
- Evals that gate every release
- Fallback and escalation paths
- A live build in as little as 24 hours
- 01Eval suiteknown + edge casespass
- 02Policy checkguardrails enforcedpass
- 03Human fallbacklow-confidence routedhold
- 04Releaseshipped to prodlive
p95 latency 1.2s
eval pass 12/12
rollback ready
Questions buyers ask us.
What does Gaper build for US companies?+
Where do the agents run, and is our data safe?+
Which models and systems do you build on?+
How fast can an agent go live, and who owns it after?+
Ready to deploy your first agent?
Book a free 30-minute assessment. We'll map the highest-leverage workflow and scope the smallest thing worth shipping, live in as little as 24 hours.