Node.js backends and AI integrations, built and deployed into production.
Gaper builds Node.js backends and the AI integrations that run on them, then deploys them into your stack. We ship the APIs, services, and supervised agents that production workloads depend on, wired into your data and auth.
$ gaper deploy agent --to production ✓ plan ……………… 4 steps ✓ retrieve …… 1,240 docs grounded ✓ tool ………… salesforce.update_record ✓ eval ………… 12/12 checks passed ● live · p95 1.2s · 0 errors
Node.js development at Gaper means production backends, APIs, and AI integrations built on Node.js and TypeScript, then deployed into your cloud on your data and auth. We deliver the services, evals, and runbook, and your team owns the code.
A working Node prototype is one thing. A service that holds up under real traffic, talks to your existing systems, and runs an AI feature safely in production is the part that decides whether the project ships.
- Does it touch real systems?
- Can the outcome be measured?
- Where does human approval stay?
- Who owns it after launch?
Book a free assessment. We will identify one high-leverage workflow, make the build-vs-buy call, and scope the smallest production release.
From strategy to production, owned by your team.
- 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.
- 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.
- 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.
- 04
Sandbox, verify, go live
We launch in a sandbox, verify every run, then move into supervised production with traces, rollback, and an owner.
Agents wired into the systems you already run.
Node.js APIs & services
REST and GraphQL backends in Node.js and TypeScript, built for the throughput, latency, and edge cases real traffic brings.
AI integrations
LLM features wired into your Node services on OpenAI, Claude, or Gemini, with streaming, retries, and graceful fallbacks.
Supervised agents on Node
Goal-driven agents running in your Node stack that call tools, hit your APIs, and gate risky actions behind human approval.
Real-time & streaming
WebSocket, SSE, and event-driven services that stream model output and live data to users without buffering the whole response.
Data & integration layer
Connectors to Postgres, your queue, and third-party APIs via MCP, so the backend finishes work inside your systems, not beside them.
Observability & evals
Tracing, cost and quality dashboards, and automated evals on AI paths, so you can see exactly what every run did and why.
Built into production, not bolted on
We deploy the Node services where your data lives: your cloud, your auth, your controls. The backend 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 didn't ask for
You own the code, and the runbook
A forward-deployed team works alongside yours and hands over a clean, documented Node.js codebase you fully control. No black box, no lock-in, nothing trapped outside your stack.
- Typed, tested, documented services
- Knowledge transfer built into delivery
- Extend and ship it without us
Access your auth
Data your environment
Ops monitor or handoff
AI features that survive real traffic
Most LLM integrations work in a demo and fall apart under load. We design for that gap: evals before users, retries and fallbacks on every model call, and rate limits and timeouts that keep the service up.
- Evals gate every release
- Fallback and escalation paths
- Load-tested before go-live
- 01Eval suiteknown + edge casespass
- 02Policy checkguardrails enforcedpass
- 03Human fallbacklow-confidence routedhold
- 04Releaseshipped to prodlive
p95 latency 1.2s
eval pass 12/12
rollback ready
Questions buyers ask us.
What does Gaper build with Node.js?+
How do you deploy a Node backend into our environment?+
Who owns the code after launch?+
Which AI models can you integrate?+
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.