Skip to content
TechNeeva

Build with TechNeeva

We build AI products for you — the way we build our own.

Agents, voice, vision and apps designed, built and run by the teams behind Chhaya AI, AakAR and Vani. Same foundation, same standards — your name on the product.

40+

AI products launched for clients

12 wks

typical time to first launch

5

products of our own on the same foundation

What we build

Six ways we put AI to work for you.

Pick one, combine several, or tell us the problem and we will shape the right team around it.

AI agents & copilots

Assistants that read your systems, take real actions and hand off to people — shipped with evaluations, guardrails and audit logs from day one.

  • Support agents that resolve tickets end to end
  • Sales copilots that keep the CRM up to date
  • Ops agents that reconcile invoices
Discuss this

Voice & conversational AI

Phone agents, WhatsApp assistants and support chat in your customers' languages — the stack behind Vani, built around your business.

  • 24/7 phone receptionists
  • WhatsApp ordering and booking assistants
  • Collections and reminder calls in eight languages
Discuss this

Computer vision & 3D

Cameras that understand what they see and products customers can explore in 3D and AR — the engines behind Sightline and AakAR.

  • Store and warehouse camera analytics
  • 3D and AR product catalogues
  • Visual quality inspection on the line
Discuss this

Generative AI on your data

Search, document automation and knowledge assistants grounded in your own data, private by default and measured for accuracy.

  • Search across contracts and policies
  • Document intake and KYC checks
  • Internal knowledge assistants
Discuss this

AI-native web & mobile apps

Products, platforms and internal tools with intelligence designed in, not bolted on — from first sketch to the app stores.

  • Customer apps for iOS and Android
  • Dashboards and internal tools
  • Marketplaces and SaaS platforms
Discuss this

Dedicated AI product pods

A standing team of designers, engineers and ML specialists that works as your product team, not a ticket queue.

  • Design, engineering and ML in one team
  • Weekly releases on a shared roadmap
  • Scale up or down each quarter
Discuss this

01 — How we work

Weeks 1–4: we find the product worth building.

Workshops with your team and users, a clickable prototype and an AI feasibility spike — so we know it works before we build it.

02 — How we work

Weeks 5–11: we build with AI in the loop.

Working software every week. Every AI feature ships with evaluations, guardrails and cost limits from day one.

03 — How we work

Week 12 onwards: it goes live — and keeps improving.

A staged launch, dashboards for quality and spend, and a steady cadence of releases. Handover whenever you want it.

Ways to work together

Pick the shape that fits — change it as you grow.

Fixed-scope build

A defined product, a fixed timeline and a price agreed up front.

Best for
A first AI product or a well-defined feature
Team
4–6 people across design, engineering, ML and QA
Timeline
8–16 weeks
Talk about this
Most chosen

Dedicated product pod

A standing team that works as your product team, sprint after sprint.

Best for
Roadmaps that keep evolving
Team
5–10 people, shaped around your roadmap
Timeline
Quarter by quarter
Talk about this

Build, operate, transfer

We build and run it, then hand over the product, the playbooks and the team.

Best for
Companies building their own AI capability
Team
Our pod first, then your hires trained alongside
Timeline
6–18 months
Talk about this

Why TechNeeva

We don’t only build AI products. We run our own.

Every lesson from running Chhaya AI, AakAR, Vani, Sightline, Shortlist, MyTwin and Tablekin in production goes into what we build for you.

Evaluated before it ships

Every AI feature has an evaluation suite for accuracy, safety and cost that must pass before release.

Guardrails and privacy by default

PII redaction, prompt-injection defences, role-based access and data residency where you need it.

Observable in production

Dashboards for quality, latency and spend, with alerts when a model drifts.

You own everything

Code, models, prompts and data stay yours — no lock-in to us or to a single model provider.

Questions

Before you ask.

How much does a project cost?

It depends on scope. After a 30-minute call we send a written estimate within a week — a fixed price for fixed-scope builds, or a monthly rate for pods.

Who owns the code and the models?

You do. Code, trained models, prompts, evaluation sets and data are transferred to you, and we can work entirely inside your own cloud accounts.

Which AI models do you use?

Whichever fits the job: frontier models, open-weight models or small models we fine-tune. We evaluate per feature and keep you free to switch.

Can you sign an NDA first?

Yes. Mention it in your message and we'll send one before you share anything sensitive.

Do you work with companies outside India?

Yes. We work with teams across time zones, with overlap hours agreed at the start of every engagement.

What happens after launch?

We monitor quality, cost and usage, ship improvements on a steady cadence, and hand over to your team whenever you're ready.

Have something in mind?

Tell us in a sentence. A person who would actually build it replies within one business day.