Vyan Labs  ·  Est. 2024  ·  Guwahati, IN

Production-grade AI,
engineered quietly
and shipped on time.

We design and build AI agents, agentic workflows, and the backend systems they run on — with the guardrails, evaluations, and observability they need to survive production.

Start a project What we build
Currently taking on 2 new engagements Q2 2026 · Remote, India + EU/US time zones

01 — Capabilities

Three things, done properly.

We work narrowly so we can work deeply. Each engagement is staffed with senior engineering from day one.

01 / 03

AI Agents

Custom agents that answer, act, and integrate — for support, ops, sales, and internal tooling. Built with guardrails, evaluations, and clear escalation paths so they're trustworthy enough to actually deploy.

Explore agents
02 / 03

Agentic Workflows

Multi-step automation that uses tools, follows policy, requests approvals, and produces an audit trail. The kind of workflow that replaces a 6-tab Notion runbook, not a single Zapier zap.

Explore workflows
03 / 03

Backend Systems

The unglamorous but load-bearing layer: FastAPI services, Postgres data models, Redis, async jobs, webhooks, auth, multi-tenancy, and the observability that lets you sleep at night.

Explore backend

02 — Selected work

Products built in-house.

Where we test our own ideas about agents, automation, and the boring infrastructure underneath.

03 — How we work

Short loops. Honest scope. No theatre.

We default to the smallest version that proves the idea, then harden it. You'll always know what we're building, why, and what it'll cost.

Step 01

Scope & pilot

One week to align on the outcome, success metric, and the smallest useful slice. You leave with a written plan and a fixed price.

Step 02

Build & iterate

Weekly demos, real data, real users where possible. Evals and observability are built in from day one — not bolted on later.

Step 03

Harden & hand over

Production deployment, runbooks, monitoring, and a clean handover. We stay around for as long as you need, not a day more.

04 — Founder

Founder-led, by design.

You won't be passed to a junior. The person scoping the work is the one writing the code.

An engineer who has shipped agents to real users.

I build production-grade agentic platforms — realtime voice agents, multi-agent pipelines, MCP tool platforms, RAG systems — backed by the FastAPI / Postgres / Redis infrastructure that keeps them honest. Observability, security, and multi-tenancy from the start, because that's where most agent projects quietly fail.

  • Agents & orchestrationTool calling, multi-step planning, human-in-the-loop, evals.
  • Realtime voiceStreaming, low-latency voice agents on realtime APIs + websockets.
  • RAG & knowledgePrivate-doc search, embeddings, retrieval-quality tuning.
  • Backend for AIFastAPI, Postgres, Redis, async jobs, webhooks, integrations.
  • ObservabilityTracing for LLM/tool flows, structured logs, usage telemetry.
  • Security & tenancyAPI keys, secret handling, tenant-aware tool access, RBAC.
Request a build plan

05 — Common questions

Things people ask before signing.

What's the difference between an AI agent and a chatbot?
A chatbot answers. An agent decides — it plans, calls tools, and produces an outcome. Agents work inside guardrails, with evaluations and audit trails so you can trust them with real workflows.
How long does it take to ship a custom agent?
A scoped pilot typically takes 2–3 weeks. Production-ready systems with integrations, evals, and observability take 6–10 weeks depending on complexity and the cleanliness of the data we're working with.
Is my data safe?
Yes. We design for private deployment by default — your data, your infra, your keys. We can run fully local (like OCDify), in your cloud, or in our managed environment with strict isolation. Nothing is used to train public models.
Will it integrate with our existing stack?
Yes. We connect to CRMs, ERPs, databases, internal tools, and SaaS via APIs and the Model Context Protocol — and we ship the backend that holds it all together cleanly.
Do you work with non-technical founders?
Often. Most of the work is translating a fuzzy operational problem into a system. We expect to do that translation, not assume you already have it written down.

06 — Get in touch

Tell us what's in the way.

The more specific, the better. A vague "we want AI" gets a vague reply. A real workflow gets a real plan, usually within two business days.

Or email directly support@vyanlabs.in