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ai agents for russia-connected teams

Gaper builds and deploys production AI agents for teams operating in or with Russia.

Gaper designs, builds, and deploys supervised production AI agents into the systems your team already runs across the region. The agents run in your own cloud, on your data and auth, and you own the code, evals, and runbook from day one.

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 into the systems used by teams operating in or with Russia. Agents are model-agnostic across OpenAI, Claude, and Gemini, run in your own cloud on your data and auth, and ship with code, evals, and a runbook you own.

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

Most teams working in or with Russia have AI demos that never reach production: prompts on a laptop, no integration into real systems, no security review, and no clear owner. The gap is everything between a prototype and a supervised agent that runs reliably on live data.

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.

Design the agent against a real workflow

We map one high-value workflow in your stack, define the agent's scope, tools, and guardrails, and write the eval set that decides when it is ready for production.

Build on your existing systems

We connect the agent to the tools, databases, and APIs your team already uses, so it reads and acts on real data instead of running in a sandbox.

Deploy into your own cloud

The agent runs in your cloud on your data and auth. Nothing routes through a third party, and access stays inside your existing perimeter and controls.

Model-agnostic across providers

We build on OpenAI, Claude, or Gemini and choose the model per task on cost, latency, and quality. You are never locked to a single provider.

Supervision and evals built in

Every agent ships with human-in-the-loop controls, logging, and an eval suite that catches regressions before they reach users.

Full handover and ownership

You receive the source code, the eval set, and a runbook. Your team can run, change, and extend the agent without depending on us.

Production agents, not prototypes

We take a single workflow from idea to a supervised agent running on live data. The goal is something your team uses every day, not a demo that stalls after the pitch.

  • One scoped workflow, designed, built, and shipped to production
  • Human-in-the-loop supervision on every action the agent takes
  • Live in as little as 24 hours for a first working version
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

Runs in your cloud, on your data

The agent deploys inside your own environment on your data and auth. We work within the controls your team already operates across the region.

  • Deployed to your cloud, never a shared third-party runtime
  • Uses your existing auth, roles, and access boundaries
  • Full logging and audit trail of every agent decision
Deploy target
OpenAIOpenAIClaudeClaudeGeminiGeminiSalesforceSalesforceSnowflakeSnowflakePostgresPostgres
SSORBACAudit logCloud

You own what we ship

At handover you get the code, the evals, and the runbook. The arc is Design, Build, Deploy, and then it is yours to run and extend.

  • Source code and infrastructure config handed to your team
  • Eval suite so you can verify changes before they ship
  • Runbook covering operation, monitoring, and rollback
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 exactly does Gaper deliver?+
A supervised production AI agent running on a real workflow in your systems, plus the source code, the eval suite, and a runbook. The arc is Design, Build, Deploy, and your team owns the result.
Where does the agent run and is our data safe?+
The agent runs in your own cloud on your data and auth. It uses your existing access controls and perimeter, and every action is logged for audit. Nothing routes through a shared third-party runtime.
Which AI models do you build on?+
We are model-agnostic across OpenAI, Claude, and Gemini, and we pick the model per task based on cost, latency, and quality. You are not locked to one provider and can switch later.
How fast can we go live?+
A first working version can be live in as little as 24 hours for a well-scoped workflow. From there we harden it against the eval set and add supervision before it handles real volume.
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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