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ai agents, built and deployed

Gaper builds and deploys production AI agents for teams in Croatia.

Gaper designs, builds, and deploys supervised AI agents into your existing systems, running in your own cloud on your data and auth. 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 · workflow
TriggerNew support ticket
↓
AgentClassify · look up order · decide
↓
ActionRefund issued · case closed
−42%handle timeauto-resolved
In one sentence

Gaper is an AI-native implementation partner that builds and deploys supervised production AI agents for teams in Croatia. Agents run in your own cloud, on your data and auth, model-agnostic across OpenAI, Claude, and Gemini. You receive the code, evals, and runbook, and your team owns the result outright.

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

Most AI projects in Croatia stall at the pilot: a demo that works once but never reaches production, never connects to real systems, and never runs reliably under load. The gap is integration, evaluation, and operational ownership, not ideas.

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.

Agent design for real workflows

We map a high-value workflow, define the agent's tools, guardrails, and success metrics, then scope a build that ships to production rather than a demo.

Production builds in your stack

Agents connect to your databases, APIs, and internal tools through your existing auth, so they act on live data inside the systems your team already runs.

Deployment in your own cloud

Everything runs in your AWS, GCP, or Azure environment. Your data and credentials stay inside your boundary, under your security controls.

Model-agnostic engineering

We build on OpenAI, Claude, or Gemini and can switch models as cost, latency, and quality change, so you are never locked to one provider.

Evals and supervision

Each agent ships with an evaluation suite and human-in-the-loop controls, so you can measure quality, catch regressions, and keep a person in the loop where it matters.

Handover and ownership

We deliver the code, evals, and a runbook your team can operate. You own the agent end to end, with no dependency on us to keep it running.

Design, build, deploy

Our arc is simple: design the agent around a real workflow, build it into your stack, and deploy it to production where it does measurable work. We move fast and can have a first agent live in as little as 24 hours.

  • Design: scope the workflow, tools, guardrails, and success metrics
  • Build: wire the agent into your data, APIs, and auth
  • Deploy: ship to production in your cloud with monitoring 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

Runs in your cloud, on your data

Agents run inside your own cloud environment using your data and authentication. Nothing leaves your boundary, and your security and compliance controls apply to every action the agent takes.

  • Deploys to your AWS, GCP, or Azure account
  • Uses your existing auth and access controls
  • Data and credentials stay inside your environment
Deploy target
OpenAIOpenAIClaudeClaudeGeminiGeminiSalesforceSalesforceSnowflakeSnowflakePostgresPostgres
SSORBACAudit logCloud

You own what we deliver

At handover you get the full source code, an evaluation suite, and an operational runbook. Your team can run, change, and extend the agent without depending on Gaper to keep it alive.

  • Full source code delivered to your repositories
  • Eval suite to measure quality and catch regressions
  • Runbook so your team can operate and extend the agent
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 APIsPostgresSnowflakeSalesforce
FAQ

Questions buyers ask us.

What does Gaper actually build for teams in Croatia?+
We build supervised production AI agents that run inside your existing systems. Each agent connects to your data, APIs, and tools to do real work in a defined workflow, and ships with evals and human-in-the-loop controls so you can trust its output.
Where do the agents run, and who controls the data?+
Agents run in your own cloud, on your AWS, GCP, or Azure account, using your authentication. Your data and credentials stay inside your environment, and your existing security and compliance controls apply to everything the agent does.
Which AI models do you use?+
We are model-agnostic and build on OpenAI, Claude, or Gemini. We choose based on cost, latency, and quality for your workflow, and we can switch models later, so you are never locked into a single provider.
How fast can an agent go live, and who owns it afterward?+
A first production agent can be live in as little as 24 hours, depending on integration complexity. At handover we deliver the code, evals, and runbook, and your team owns the agent outright with no ongoing dependency on us.
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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