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ai app development company

AI app development that ships supervised agents into your product.

Gaper builds and deploys AI-powered applications into your existing stack: the interface, the agent backend, the data layer, and the evals. We hand over the code, evals, and runbook, and your team owns it.

Book a free AI assessmentWhat is an AI agent?
Map the workflowBuild the supervised agentSandbox, verify, go live
gaper · opportunity map
Support triage92
Invoice processing84
Lead enrichment71
Report drafting58
ranked by ROI × feasibilityship #1 first
In one sentence

An AI app development company builds AI-powered applications, software where an LLM or agent plans and takes multi-step actions behind the interface, and deploys it into your stack on your data and auth. Gaper builds, evaluates, and ships these apps as systems your team owns.

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

AI features demo in an afternoon and stall for months. The hard part is shipping one that holds up on real data, real users, and real cost, inside the product you already run.

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.

Product interface

Fast, accessible front ends designed for AI interactions: streaming, retries, and graceful failure states built in.

Agent backend

Goal-driven agents behind the app that plan, call tools, and take action across your systems, not single-turn chat.

Retrieval & knowledge

Grounded answers over your documents and data, with citations and freshness, so the app holds up in production.

Evals & human gates

Automated evals before users, plus approvals on actions that carry operational, legal, or compliance risk.

Scale & unit cost

Architected for latency and per-run cost from day one, so usage growth does not break the economics.

Observability & handover

Traces, cost, and quality dashboards, plus a documented codebase and runbook your team can own and extend.

Built into your product, not bolted on

We deploy where your data lives: your cloud, your auth, your controls. The app inherits your security posture instead of widening your attack surface, and runs model-agnostic on OpenAI, Claude, or Gemini.

  • Runs in your environment or ours
  • SSO, RBAC, and audit logging
  • No data retention you did not ask for
Deploy target
OpenAIOpenAIClaudeClaudeGeminiGeminiSalesforceSalesforceSnowflakeSnowflakePostgresPostgres
SSORBACAudit logCloud

You own the app, and the code

A forward-deployed team works alongside yours and hands over an application you fully control. No black box, no lock-in, no agent logic trapped in a vendor console 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

From prototype to production, the part most apps miss

AI prototypes are everywhere; AI apps that survive production are rare. We design for that gap from day one: evals before users, guardrails on risky steps, and a real owner at launch.

  • Evals that gate every release
  • Fallback and escalation paths
  • Live in as little as 24 hours
Release gate
  1. 01Eval suiteknown + edge casespass
  2. 02Policy checkguardrails enforcedpass
  3. 03Human fallbacklow-confidence routedhold
  4. 04Releaseshipped to prodlive

p95 latency 1.2s

eval pass 12/12

rollback ready

Model and stack agnostic
OpenAIClaudeGeminiMCPYour APIsSnowflakeSalesforcePostgres
FAQ

Questions buyers ask us.

What does an AI app development company do?+
It builds AI-powered applications, the interface, the agent backend, the data layer, and the evals, and deploys them into your stack. Gaper takes it from a scoped workflow through a production app your team owns.
Do you build the whole app or just the AI part?+
The whole app. We build the front end, the agent backend, the retrieval and data layer, and the integrations, then ship it to production on your cloud and auth.
Do we own the app and the code when you are done?+
Yes. Gaper builds and deploys the application, then hands over the code, evals, and runbook. You own it and can extend it without us, or we can run it under an SLA, your call.
Do you staff out developers to build our app?+
No. We are not a staffing or staff-augmentation firm. We do not place or supply developers. We build and deploy the AI app for you and hand over a system you own.
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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