Custom AI development · India · Europe · Gulf

We build production AI for enterprises.

GTC — Granaura Technology Company — is a custom AI development firm in Gurgaon, India. We build production AI inside enterprises: conversation intelligence, operations intelligence and workflow automation. Senior engineers embed in your team and ship on your data and your stack — a working prototype in week one, a costed roadmap by day five.

Who we work with
Listed companies in India — plus D2C and manufacturing
Model
Forward-deployed — engineers inside your team
Where we work
India, Europe and the Gulf
Delivery
Engineering team in Gurgaon, India
Companies we've worked with
What we build

Many ways in, one definition of the truth.

A module is a way in, not a separate system — each one reads from and writes back to the same lake, across retail, manufacturing and consumer brands.

Ask Your Data Demand & Allocation Procure to Pay Smart Alerts Store Vision Voice of Customer

See the use cases by industry →

Selected work

What we've built, and what it changed.

Case studies from live engagements, with the numbers they produced. Figures are real; client names are withheld on the page and shared on a call.

Conversation intelligence

Service calls, audited end to end

A manufacturer's contact centre and field-service network, moved from a small manual sample to every call scored — with revenue moments flagged in the same pass.

  • 2 in 3calls carry a revenue opportunity
  • 48%AMC capture on flagged calls
  • 100%of calls audited and searchable
Read the case study →
Operations intelligence

Ads and demand, back in sync

Spend reallocated across channels and creatives against SKU-level demand, so the fast movers stop going out of stock while the slow ones tie up cash.

  • +28%return on ad spend
  • −18%blended acquisition cost
  • −30%inventory days
  • −22%working capital
Read the case study →
Workflow automation

The inbox, on autopilot

Inbound mail classified, drafted and routed by agents trained on the team's own reply history, with a human approving anything outside the routine.

  • 25–30kemails handled a month
  • 10×faster first response — hours to minutes
  • 100%of actions logged and auditable
Read the case study →
The operating model

Forward-deployed engineering.

Senior engineers work from inside your team for the length of the build. It is the reason these systems land in production instead of stalling as a pilot.

Engineers sit inside your team

Not a remote squad taking tickets. Our engineers join your standups, sit with the people whose workflow is being changed, and see the edge cases that never make it into a requirements document.

Your repo, your infrastructure

Code is committed to your repository and models run on your infrastructure from the first week. There is no platform to rent from us and nothing that stops working if you stop paying.

Your engineers learn it live

Handover happens continuously, while the system is being written — not as a document at the end. By the time we step back your team has already been running it for weeks.

Security & privacy

Your data stays in your boundary.

We deploy into your environment, not ours. Which model runs, and where, is set by how sensitive the workload is — so the guarantee is specific, not a slogan.

Sensitive workloads

Self-hosted, zero egress

Open-weight models run inside your VPC or on-premise. The data never leaves your boundary, and nothing is sent to a third-party model provider. This is the default for regulated or confidential data.

Everything else

Your cloud's model endpoint, zero-retention

Calls go through your own Bedrock, Vertex or Azure OpenAI — in your region and under your contract, with zero data retention and no training on your data. No key of ours, and no hop through us.

Runs in your cloud or on-prem Access via your IAM — revocable No training on your data Every action logged & auditable Code in your repository
How we work

From first call to production.

An opinionated process, run by engineers who have taken AI to production.

01

Discover

We sit with your team, map the workflow, and pinpoint where AI moves a real business number — not a model metric.

02

Recommend

A costed buy-versus-build roadmap: what to ship, what to skip, and where the fastest payback sits.

03

Deliver and scale

We build, integrate and take it to production — then stay on while your team runs it and it grows.

04

Run and hand over

Your engineers take it over having already run it with us for weeks, not from a document written at the end.

Founders

Who you'll actually work with.

The people who scope the work are the people who build it — the same faces from the first call through to production.

Ankit Agarwal
Co-founder & engineering lead

B.Tech, IIT Delhi. Founded and ran Silversparro, an AI company, from 2015 to 2020 — acquired. Ex-Engineering Lead at Graviton Research, India's largest high-frequency trading firm. Ex-VP Engineering, Sunstone. He scopes the build and stays on it in your codebase.

LinkedIn
Neha Sikarwar
Co-founder & business lead

Leads go-to-market and enterprise engagement. Ex-Sales Director, APAC at SpotDraft. Earlier at Skit.ai, Magicpin and HDFC Life. Delhi University. She owns the commercial relationship end to end, from first call to renewal.

LinkedIn

Start with a five-day discovery

Fixed price. By day five you have a working prototype on your own data and a costed build roadmap — yours to keep either way.

Book a 30-minute call