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AI agent development in India

AI agent development for teams building in India.

Gaper builds and deploys supervised production AI agents for companies operating in India: workflow map, data layer, connectors, evals, sandbox, and a human-gated go-live, owned by your team.

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

AI agent development is the work of designing, building, and deploying software that plans and takes multi-step actions toward a goal inside your existing systems. Gaper does this for teams in India, deployed in your cloud and owned by your team.

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

Plenty of teams in India have run an AI pilot. Far fewer have an agent in production, because the hard part is integration, evals, and ownership, not the model.

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 your real SOPs and tools, then turned into repeatable production runs.

Retrieval & knowledge

Grounded answers over your documents and data, with citations and freshness.

Tool & API actions

Agents that update the CRM, file the ticket, and reconcile the ledger through your APIs and MCP.

Evals & human gates

Automated evals and approvals for any customer-facing or spend-related step.

Runs in your cloud

Deployed inside your environment with SSO, RBAC, and audit logging when regulation demands it.

Ownership & handover

Clean, documented code and a runbook, so your team owns and extends it.

Built into production, not bolted on

We deploy where your data lives: your cloud, your auth, your controls. The agent inherits your security posture instead of widening your attack surface.

  • 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 outcome, and the code

A forward-deployed team works alongside yours and hands over a system you fully control. No black box, no lock-in.

  • Clean, documented codebase
  • Knowledge transfer built into delivery
  • Extend it without us
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

We design for the gap that kills most pilots: evals before users, guardrails on risky steps, and a real owner at launch.

  • 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 APIsPostgresSnowflakeSalesforceZendesk
FAQ

Questions buyers ask us.

What does Gaper deliver for teams in India?+
A supervised production AI agent built from your workflow, deployed in your cloud, with the code, evals, and runbook handed to your team to own and extend.
Can you deploy inside our cloud?+
Yes. For regulated workloads we deploy in your cloud with SSO, RBAC, PII redaction, and audit logging, so data never leaves your boundary.
How long does a first AI agent take?+
A scoped first build can land in as little as 24 hours. Production timelines depend on integration and governance, typically weeks, not quarters, and we scope them up front.
Which models do you use?+
We are model-agnostic across OpenAI, Claude, and Gemini, and we will tell you when a smaller or cheaper model is the right call.
See what operators from other companies think about AI Agents:
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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