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ai development delivered

AI development, built and shipped into your stack.

Gaper builds the AI features and agents you need and deploys them into your existing systems. We write the code, run the evals, and hand it over, so your team owns what ships.

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 is a build-and-deploy service where Gaper ships production AI features and agents directly into your existing systems. We work on OpenAI, Claude, or Gemini, run in your cloud on your data and auth, and hand over the code, evals, and runbook for your team to own.

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

Most teams have a backlog of AI work and no clear path from prototype to production. Demos stall, nothing reaches users, and the AI roadmap keeps slipping.

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 agents

We design, build, and deploy supervised agents that do real work inside your systems, not chatbots that sit in a tab. Live in as little as 24 hours.

Model-agnostic builds

We build on OpenAI, Claude, or Gemini and pick the model that fits the task, the latency, and the cost. No lock-in to one provider.

Runs in your cloud

Every agent runs in your own cloud, on your data and your auth. Nothing routes through us, and your information never leaves your control.

Evals and guardrails

We ship evals that measure accuracy, plus the guardrails and human-in-the-loop checks that keep a supervised agent safe in production.

Integrated into your stack

We wire the build into the systems you already run, your APIs, your database, your tools, so it fits the workflow your team has today.

Code and runbook handover

You get the source code, the evals, and a runbook. Your engineers can read it, run it, and extend it after we deliver.

What we deliver, not who we staff

Gaper is an implementation partner, not a staffing desk. You tell us the AI work you need done and we build it, ship it, and hand it to your team. The deliverable is a working system in production, not a person on a contract.

  • A defined AI feature or agent, scoped and built to a clear outcome
  • Deployed into your stack, running on your data and auth
  • Owned by your team the day it ships
Build vs. buy
Buy

Use a product when the workflow is standard and the data path is simple.

Fast startLess control
Build

Build when integration, compliance, or differentiation decide the outcome.

Your stackYour code

How a build moves to production

Our arc is Design, Build, Deploy. We start by scoping the outcome, then build against real evals, then deploy behind the guardrails a supervised agent needs. The first version can be live in as little as 24 hours.

  • Design: scope the outcome, the data, and the success metric
  • Build: write the agent and the evals that prove it works
  • Deploy: ship into your cloud with guardrails and supervision
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

What you own at handover

When we finish, the work is yours. We hand over the code, the evals, and the runbook so your engineers can operate and extend the system without depending on us to keep it running.

  • Full source code for every agent and integration we build
  • Evals you can rerun to catch regressions over time
  • A runbook covering deployment, monitoring, and supervision
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.

Does Gaper staff out or place AI developers?+
No. Gaper does not hire out, place, or supply developers. We build and deploy the AI feature or agent for you and hand over the code, evals, and runbook. The deliverable is a working system you own, not a person on a contract.
Do we own what Gaper builds?+
Yes. We build and deploy the system into your own cloud, then hand over the source code, evals, and a runbook. Your team owns and operates everything after delivery, with no dependency on us to keep it running.
Which AI models do you build on?+
We are model-agnostic and build on OpenAI, Claude, or Gemini. We choose the model that fits each task, balancing accuracy, latency, and cost, so you are never locked into a single provider.
How fast can a build go live?+
A first production version can be live in as little as 24 hours, running in your cloud on your data and auth. More involved builds take longer, and we scope the timeline against the outcome during Design.
Production AI agents, shipped with an owner

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