✦ Production-grade AI engineering

Engineering the next
generation of AI products.

Agentic systems, generative AI, voice, retrieval, and automation — designed, built, and deployed end to end. From prototype to production-grade, across every industry that takes AI seriously.

Book a call →
2–4 wk
to first production deploy
6
core build capabilities
100%
principal-led · no bench
24h
personal reply
Built on
PythonFastAPILangChainQdrantSupabaseElevenLabsPostgresDocker
What we build

Six capabilities, one principal engineer.

End-to-end AI engineering — from the agents on top to the data plumbing and guardrails underneath.

Agentic AI

Asynchronous orchestration layers where agents plan, call tools, and complete multi-step work — with durable memory, retries, and human checkpoints on every high-stakes action.

Learn more →

Voice infrastructure

Low-latency voice agents that answer, route, and transact in real time — engineered for sub-second response across Indian and global languages.

Learn more →

Retrieval & RAG

Retrieval pipelines grounded in your own corpus — answering staff and customers from source, with citations, not hallucinations.

Learn more →

Workflow automation

Deterministic automation for high-volume plumbing — document processing, extraction, and follow-ups — with strict error handling and full audit trails.

Learn more →

Dashboards & analytics

Self-updating analytics layers with AI summaries of what moved and why — wired directly into your data warehouse.

Learn more →

Integration & deployment

Deployment into your existing stack — containerised, observable, and monitored — not a fragile prototype handed over and abandoned.

Learn more →
Industries we build for

The domains we're built for.

Different industries break in different places. These are the verticals our architecture is designed for, and the kind of system we build when we get there.

Healthcare

Patient-facing agents

HIPAA-aware intake, triage, and booking agents that route anything clinical to a human, with full audit trails.

Finance & Fintech

Document-heavy ops

KYC and back-office copilots, statement and invoice extraction, and audit-grade logging on every action.

E-commerce & Retail

Support & catalog AI

Ticket deflection, RAG-grounded product assistants, and competitor and pricing intelligence pipelines.

Logistics & Operations

Async orchestration

Extraction at volume, exception handling, and orchestration layers that move data between the systems you run.

Education

Knowledge systems

Knowledge-grounded assistants, content and assessment generation, and operational dashboards over fragmented data.

Professional Services

Drafting copilots

Proposal, contract, and follow-up drafting trained on your tone and rules — your people edit instead of author.

New firm, honest framing: these are the systems we're built to ship — not a list of client logos. The proof is the working agent below.

How it works

A disciplined path from scope to production.

Five stages, with full visibility on scope, cost, and status at every point. Each one has a deliverable you can hold us to.

STAGE 01

Discovery

Map the workflow, the data, and the metric that defines success.

STAGE 02

Architecture

Model, orchestration, isolation, and guardrails — written into a decision doc you keep.

STAGE 03

Build

Ship in sprints, production-shaped from the first commit, reviewable every week.

STAGE 04

Deploy

Roll out behind flags, evaluate against the metric, and harden before scale.

STAGE 05

Operate

Monitor, tune, and scale as load and requirements grow. We stay on.

Every engagement is scoped and priced before a line of code is written — and we'll tell you plainly when it isn't worth building.

Proof, not promises

A real system, running live.

We'd rather show one working system than claim a hundred we can't demonstrate. The clinic front-desk agent below is live — test it.

Clinic front-desk agent

Healthcare · voice & chat · live demo
Hi, can I see Dr. Mehra this evening?
Dr. Mehra has 6:15 and 7:00 PM open today. Shall I book one?
Early-partner terms

We're taking our first production engagements now.

Being early with Aivetech means you work directly with the principal engineer, on real terms designed for first partners:

  • Direct access to the engineer who builds it
  • Fixed scope, priced up front — no hourly drift
  • First version live in 2 to 4 weeks
  • Founder-rate pricing for early reference clients
Become an early partner →
Where are you in your AI journey?

Pick the path that fits you — we'll meet you there.

Security & data

Built to be trusted with your data.

Autonomous systems only earn production access if they hold up under adversarial load. Security, tenant isolation, and privacy are designed in from the first commit — never bolted on.

Multi-tenant isolation

Every client runs inside an isolated boundary — data, keys, and compute kept strictly separate. We never train public models on your data.

Encrypted end to end

Everything runs over TLS, secrets live in managed vaults, and data is encrypted in transit and at rest. No credentials ever sit in the codebase.

Least-privilege access

Every service holds only the permissions it actually needs, with role-based access and full audit logs of what the AI did and when.

Guardrails on every agent

Agents run sandboxed with strict input and output contracts — they cannot act outside their scope, leak data, or be prompt-injected off-script.

Human in the loop

For anything high-stakes, a human stays in control. The system proposes and escalates — it never makes irreversible calls on its own.

Monitored after launch

Live systems are monitored for errors, abuse, and drift, with alerting and rapid fixes — issues surface to us, not to your customers.

Where we invest

The engineering we put in before you ask.

An AI system that demos well and falls over in production is worthless. These are the problems we work on so your build doesn't inherit them.

Reliability

Agent evaluation

Automated eval harnesses so agent behaviour is measured against real cases, not hoped for — regressions caught before they ship.

Economics

Runtime cost control

Token budgets, caching, and model routing that keep unit economics sane as usage scales — so the system stays viable at volume.

Infrastructure

Multi-tenant patterns

Isolation architecture that lets one system serve many clients safely — the difference between a script and a product.

Kartik Malhotra, Founder & Principal Engineer at Aivetech
Who leads your engagement

You work directly with the principal who architects your system.

I'm Kartik, founder of Aivetech and the engineer who leads every build. I've spent years architecting and shipping production AI — agentic backends, voice infrastructure, and automation — for systems that have to hold up under real load. You brief the principal who scopes the work, owns the architecture, and stays accountable long past launch.

Kartik MalhotraFounder & Principal Engineer · Aivetech
Connect on LinkedIn
FAQ

The questions everyone asks first.

Direct answers, before we ever get on a call.

Most first systems ship to production in 2 to 4 weeks. We build in sprints and keep everything production-shaped from week one, so what you see early is the real system growing, not a throwaway prototype you'll rebuild later.

Every engagement is priced after we scope it together — fixed, agreed up front, with no hourly drift. On the first call you'll get an honest range for your specific problem, and a straight answer if it isn't worth building.

Straight answer: because you get the principal engineer on every line of your build, at early-partner terms, instead of a junior on an agency bench. The proof isn't a logo wall — it's the working agent on this page and a scoped plan you can hold us to. We'd rather earn the first reference than fake a hundred.

Yes. Wherever possible your data stays inside your own infrastructure, we never train public models on it, and every system ships with tenant isolation, access controls, and guardrails. We walk through exactly how data flows before anything goes live.

We don't disappear at launch. Every system is monitored and we stay on to fix, tune, and scale it as your load changes. You're not left maintaining a black box you didn't write.

Yes. We integrate into the systems you already run — CRM, databases, WhatsApp, calendars, warehouses — rather than asking you to migrate. It deploys into your infrastructure properly, not as a side experiment.

Get in touch

Let's scope where AI can carry real load.

Book a 30-minute technical scoping call. You'll get an honest read on feasibility, scope, and what it would take to ship.

WhatsApp / Phone
+91 79066 81979
Based in
India · clients worldwide
Response
Personal reply from the principal within 24h
✓ Thanks — opening your email client to send. The principal replies personally.