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ai development delivered

AI features and agents, built and shipped into your stack.

Gaper turns a documented workflow into working AI: features, copilots, and supervised agents built on the right model and deployed into your systems. You get the code, the evals, and a runbook, and your team owns all of it.

Book a free AI assessmentWhat is an AI agent?
Map the workflowBuild the supervised agentSandbox, verify, go live
gaper · agent runtime
$ gaper deploy agent --to production
✓ plan ……………… 4 steps
✓ retrieve …… 1,240 docs grounded
✓ tool ………… salesforce.update_record
✓ eval ………… 12/12 checks passed
● live · p95 1.2s · 0 errors
● in productionowned by your team
In one sentence

AI development delivered means production AI software built end to end and shipped into your existing systems: features, copilots, and supervised agents on OpenAI, Claude, or Gemini, running in your cloud on your data and auth, handed over as code, evals, and a runbook your team owns.

ProductionNot another demo
Model-agnostic
In your cloudYour auth, your data
You own itCode, evals, runbook
Why this matters

Most AI work stalls between a convincing demo and a system that holds up on real data, real auth, and real users. Closing that gap, in your stack and to your standards, is the entire job.

Production filter
  • Does it touch real systems?
  • Can the outcome be measured?
  • Where does human approval stay?
  • Who owns it after launch?
Free AI assessment

Book a free assessment. We will identify one high-leverage workflow, make the build-vs-buy call, and scope the smallest production release.

Map your first production agent
How we work

From strategy to production, owned by your team.

  1. 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.

  2. 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.

  3. 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.

  4. 04

    Sandbox, verify, go live

    We launch in a sandbox, verify every run, then move into supervised production with traces, rollback, and an owner.

What we build

Agents wired into the systems you already run.

Production AI features

Search, drafting, classification, and summarization built into your product and shipped behind the same release process as the rest of your software.

Supervised agents

Goal-driven agents that plan and take multi-step actions across your systems, with human approval gates on the steps that carry risk.

Copilots in your app

In-context assistants grounded in your data and rules, embedded where the work already happens instead of in a separate tab.

Retrieval and knowledge

Grounded answers over your documents and data, with citations and freshness, RAG built to survive production traffic.

Tool and API actions

AI that updates the CRM, files the ticket, and reconciles the ledger, wired in through your APIs and MCP, not screen-scraping.

Evals and observability

Automated evals that gate every release, plus traces, cost, and quality dashboards so you see exactly what shipped and why.

Shipped into your stack, not bolted beside it

We build where your data already lives: your cloud, your auth, your controls. The AI inherits your security posture instead of widening your attack surface, and it talks to your systems through real APIs and MCP.

  • Runs in your environment or ours
  • SSO, RBAC, and audit logging
  • Connected through your APIs and MCP
Deploy target
OpenAIOpenAIClaudeClaudeGeminiGeminiSalesforceSalesforceSnowflakeSnowflakePostgresPostgres
SSORBACAudit logCloud

Delivered like real software

AI should not be a science project. Everything we build is version-controlled, tested, monitored, and rolled out behind evals, so it stays maintainable by your team long after launch.

  • Version-controlled and tested
  • Evals gate every release
  • Monitored with rollback in place
Ship pipeline
  1. 01Scopeworkflow mappeddone
  2. 02Buildagent + toolsdone
  3. 03Evaluatesuite greendone
  4. 04Shiplive in prodlive

p95 latency 1.2s

eval pass 12/12

rollback ready

You own the code and the outcome

A forward-deployed team builds alongside yours and hands over a system you fully control: clean code, the evals, and a runbook. No black box, no lock-in, no workflow trapped outside your stack.

  • Clean, documented codebase
  • Evals and runbook included
  • Extend it without us
Handover state
handoff packageCode, runbook, evals, dashboard
owned by your team
Source repoRunbookEval suiteOwner training

Access your auth

Data your environment

Ops monitor or handoff

Model and stack agnostic
OpenAIClaudeGeminiLangChainMCPPythonTypeScriptPinecone
FAQ

Questions buyers ask us.

What do you actually build and ship?+
Production AI software: features like search and drafting, in-app copilots, retrieval systems, and supervised agents that take multi-step actions. We build it end to end and deploy it into your existing systems, then hand over the code, evals, and runbook.
How does it deploy into our environment?+
We deploy where your data lives: your cloud, your auth, your controls. The AI connects to your systems through your APIs and MCP, runs behind SSO and RBAC, and writes back into the tools your team already uses.
Who owns the code after launch?+
You do. We hand over a clean, documented codebase with the evals and a runbook. Your team can extend and run it without us, or we can keep operating it under an SLA with monitoring and ongoing improvement, your call.
How fast can something go live, and which models do you use?+
A first working build can land in as little as 24 hours for a scoped use case; production timelines are typically weeks depending on integration and governance, which we scope up front. We are model-agnostic: OpenAI, Claude, Gemini, or open models, chosen per task and deployed in your cloud.
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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.

Build, deploy, runYour cloudYou own the code