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ai application delivery

Gaper builds AI-powered applications and deploys them into your stack.

Gaper designs, builds, and deploys production AI applications that run inside your own cloud, on your data and auth. We hand over the code, evals, and runbook so your team owns what ships.

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 and deploys them into production. Gaper designs, builds, and ships these applications into a client's existing systems, model-agnostic across OpenAI, Claude, and Gemini, running in the client's own cloud. The client receives the code, evals, and runbook, and owns the result.

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

Most AI applications stall in the demo: a clever prototype that never touches production data, real auth, or the systems your business runs on. The gap is everything between a working prompt and an application your team can run, trust, and own.

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.

AI applications built into your stack

We build AI-powered applications directly into your existing systems, APIs, and data, not as a separate tool you have to integrate later. They run where your product already lives.

Model-agnostic by design

Applications run on OpenAI, Claude, or Gemini, chosen per workload and swappable as models change. You are never locked to one provider's roadmap or pricing.

Runs in your own cloud

Every application deploys into your cloud, on your data and your auth. Inputs and outputs stay inside your security boundary, governed by your existing controls.

Evals and supervision built in

We ship measurable evals and human-in-the-loop checkpoints with every application, so quality is observable in production and regressions surface before users do.

Full handover and ownership

You receive the source code, eval suites, and an operational runbook. Your team can read, change, and extend the application without depending on us to keep it running.

Live in as little as 24 hours

Our Design, Build, Deploy arc moves from scoped problem to a working application in production fast, starting with the highest-value use case rather than a year-long platform.

What we build and deploy

An AI application from Gaper is production software, not a sandbox demo. We design it against a real workflow, build it into your stack, and deploy it where your users and data already are.

  • Applications wired into your real APIs, databases, and business logic
  • Supervised AI behavior with guardrails and approval steps where stakes are high
  • A deployed application your team can use on day one, not a slide deck
Production launchWhat Gaper hands over
doneWorkflow map

Inputs, systems, owners

doneAgent build

Tools, prompts, permissions

readyEval suite

Known cases and edge cases

readyGo-live runbook

Approvals, traces, rollback

Handoff packagesource codedashboardrunbookowner training

How deployment works

We ship into your environment, not ours. The application runs in your cloud, authenticates through your identity provider, and reads only the data you grant it.

  • Deployed inside your cloud account on your existing infrastructure
  • Connected to your auth and access controls, no shadow data path
  • Observability and evals running in production so you can watch behavior over time
Deploy target
OpenAIOpenAIClaudeClaudeGeminiGeminiSalesforceSalesforceSnowflakeSnowflakePostgresPostgres
SSORBACAudit logCloud

What your team owns

When we hand over, you hold everything needed to run and evolve the application yourself. Ownership is the deliverable, not a bonus.

  • Source code, eval suites, and a runbook handed to your team
  • Documented architecture your engineers can extend and maintain
  • No dependency on Gaper to keep the application live in production
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
OpenAIClaudeGeminiMCPYour APIsSnowflakeSalesforcePostgres
FAQ

Questions buyers ask us.

What kind of AI applications does Gaper build?+
Production AI-powered applications wired into your existing systems: workflow automations, internal copilots, document and data processing, customer-facing assistants, and decision support. Each one is built against a real workflow and deployed into your stack, not delivered as a standalone demo.
Which AI models do you build on?+
We are model-agnostic. Applications run on OpenAI, Claude, or Gemini, chosen per workload and swappable as models evolve. You are not locked to a single provider, and we can route different parts of one application to different models when that produces better results.
Where does the application run, and is our data safe?+
Every application deploys into your own cloud, on your data and your auth. It runs inside your security boundary and uses your existing access controls, so data does not leave your environment to a third-party path we operate.
Who owns the application after delivery?+
You do. We hand over the source code, eval suites, and an operational runbook, and your team can read, change, extend, and run the application without depending on us. Ownership of the result sits entirely with your organization.
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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