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ai agent development in brazil

AI agent development for teams in Brazil, built into production.

Gaper builds and deploys supervised production AI agents for teams in Brazil, from workflow map to data layer, connectors, evals, sandbox, and a human-gated go-live. We deploy in your own cloud, on your data and auth, and hand the system to your team.

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

AI agent development in Brazil is the work of designing, building, integrating, and running production AI agents, software that plans and takes multi-step actions toward a goal, inside a Brazilian team's existing systems. Gaper deploys these agents in your cloud, on your data and auth, and hands them over for your team to own.

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

A demo that impresses in a meeting is not an agent that survives real data, real edge cases, and real users in production. Closing that pilot-to-production gap, with the integration and controls a working system needs, is the only part that matters.

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.

Workflow agents

Agents scoped from the SOPs, portals, spreadsheets, and inboxes your team in Brazil already uses, turned into repeatable production runs.

Retrieval and knowledge

Grounded answers over your documents and data, in Portuguese and English, with citations and freshness so they hold up in production.

Tool and API actions

Agents that take action: update the CRM, file the ticket, reconcile the ledger, wired in through your APIs and MCP.

Evals and human gates

Automated evals, policy guardrails, and approvals on signatures, submissions, and other steps that carry operational or compliance risk.

Observability

Traces, cost, and quality dashboards so you can see exactly what the agent did and why, on every run.

Security and governance

SSO, RBAC, PII redaction, and audit trails, deployed inside your cloud so data stays within your boundary.

Built into your stack, deployed in your cloud

We deploy where your data lives: your cloud region, your auth, and your controls. The agent inherits your security posture instead of widening your attack surface, which matters for teams working under Brazilian data rules like the LGPD.

  • 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 code, the evals, and the runbook

A forward-deployed team works alongside yours and hands over a system you fully control. No black box, no lock-in, no workflow trapped outside your stack. Your team in Brazil extends it without waiting on us.

  • Clean, documented codebase
  • Knowledge transfer built into delivery
  • Extend it on your own
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 pilot to production, the part most teams miss

Agent pilots are everywhere; production agents are rare. We design for that gap from day one: evals before users touch it, guardrails on risky steps, and a real owner at launch. A first working build can land in as little as 24 hours.

  • Evals that gate every release
  • Fallback and escalation paths
  • A runbook, not a hope
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 APIsPostgresSnowflakeSalesforce
FAQ

Questions buyers ask us.

What does Gaper build for teams in Brazil?+
Supervised production AI agents wired into your real workflows. We cover the full path: discovery, workflow map, the data and connector layer, evals, a sandbox launch, and a human-gated go-live. The result is a working system your team owns, not a prototype.
Can you deploy inside our own cloud for LGPD compliance?+
Yes. For regulated workloads we deploy in your cloud with your security controls: SSO, RBAC, PII redaction, and full audit logging, so data stays inside your boundary and never leaves your environment.
Which models and stacks do you work with?+
We are model and infrastructure agnostic: OpenAI, Claude, Gemini, and open models, chosen per task. Agents are deployed in your cloud and integrated through your APIs and MCP, in Portuguese, English, or both.
How long does it take to go live?+
A first working build can land in as little as 24 hours for a scoped use case. Production timelines depend on integration and governance needs, which we scope up front, typically weeks, not quarters.
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