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AI development company

AI development that turns real workflows into supervised agents.

Gaper is an AI development company for teams that need working systems, not slideware. We turn documented processes into custom AI agents, copilots, and automation deployed in your stack.

Map the workflowBuild the supervised agentSandbox, verify, go live
gaper · ship pipeline
Scope
Build
Eval
Deploy
Live
prototypeproduction
In one sentence

An AI development company builds custom AI software, agents, copilots, retrieval systems, and data pipelines, and deploys it into your stack end to end, from strategy through production and support.

End to endStrategy to production
Model-agnostic
Your stackBuilt in, you own it
SLARun and support
Why this matters

The gap between an impressive prototype and a dependable production system is where most AI initiatives quietly die. Closing that gap is our 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.

Custom AI agents

Goal-driven agents that take action across your systems, not single-turn bots.

Copilots & assistants

In-app assistants grounded in your data and rules, embedded where work happens.

Document & data AI

Extraction, classification, and processing pipelines that run unattended at scale.

Data & RAG pipelines

Retrieval grounded in your knowledge base, with freshness, citations, and evals.

Model integration

OpenAI, Claude, Gemini, and open models, chosen per task, not per fashion.

Evals, QA & human gates

Quality measured before users, with approvals where the workflow carries operational, legal, or compliance risk.

Security & governance

SSO, RBAC, audit trails, and deployment inside your cloud for regulated workloads.

MLOps & deployment

CI, monitoring, and rollback so AI ships like the rest of your software.

A senior team, paired with agents

We pair senior builders with production AI tooling, so you get senior judgment at a pace solo contributors can’t match.

  • Forward-deployed delivery
  • US-based program management
  • One accountable team
Delivery pod
OpenAIOpenAIClaudeClaudeGeminiGeminiSalesforceSalesforceSnowflakeSnowflakePostgresPostgres
SSORBACAudit logCloud

Build vs. buy, decided honestly

Not everything should be custom. We assess fit up front and tell you when an off-the-shelf product wins, so you only build where integration, control, compliance, or differentiation justify it.

  • Honest build-vs-buy call
  • Custom where it pays off
  • No solution in search of a problem
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

Ships like the rest of your software

AI shouldn’t be a science project. We deliver with CI, tests, monitoring, and rollback so what we build is maintainable by your team long after launch.

  • Version-controlled and tested
  • Monitored in production
  • Documented for handover
Ship pipeline
TriggerRetrieveDecideAct

p95 latency 1.2s

eval pass 12/12

rollback ready

Model and stack agnostic
OpenAIClaudeGeminiPythonTypeScriptAWSGCPAzureSnowflakePostgres
FAQ

Questions buyers ask us.

What does an AI development company do?+
It builds custom AI software, agents, copilots, data pipelines, and deploys it into your business. Gaper takes it from strategy through production and support.
Do you only build agents?+
No. Agents are a major focus, but we also build copilots, retrieval systems, and document/data-processing AI, whatever the workflow actually needs.
How do you scope an AI development project?+
After a free assessment we make an honest build-vs-buy call, then scope the smallest working system worth shipping. Timelines depend on integration and governance, weeks rather than quarters, and we agree them up front.
How long does a project take?+
A first build can land in 24 hours; production-ready systems are typically weeks depending on integration and governance, which we scope up front.
Can you work inside our cloud?+
Yes. We deploy in your cloud with your security controls, or host it for you, your call.
Do you maintain it after launch?+
You own the code. We can hand it over to your team or run it under an SLA with monitoring and ongoing improvement.
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