AI consulting and services · India · Europe · Gulf

We build production AI for mid-sized enterprises.

Senior engineers embed with your team and ship on your data and your stack — a working prototype in week one, a costed roadmap by day five.

Track record
Shipping production AI since 2015
Model
Forward-deployed — engineers inside your team
Where we work
India, Europe and the Gulf
Delivery
Engineering team in Gurgaon, India
What we build

Three things, built end to end.

Each one runs on systems you already have. We integrate, deploy and hand over the code — there is no platform to rent from us.

Conversation intelligence

Every call heard, not a sample

Customer calls scored against your own audit rubric rather than a 1% manual sample — and the same pass flags the revenue moments a manual audit never reaches.

  • Indian vernacular languages, not English-only
  • AMC, warranty, exchange and cross-sell moments flagged
  • Per-agent scores supervisors can act on
  • Transcripts searchable in plain English
How it works →
Operations intelligence

One view across systems that don't talk

Orders, inventory, spend and vendors pulled into a single layer, with the reconciliation logic that your team currently does by hand in spreadsheets.

  • Anomalies surfaced as alerts, not another dashboard
  • Routed to whoever owns the number
  • Built on your warehouse where you have one
How it works →
Workflow automation

Agents that finish the routine work

Agents that read the inbox or queue, classify, draft and route — resolving the repetitive cases end to end and escalating the rest with context attached.

  • Human in the loop on every edge case
  • Drafts in your team's voice, from your own history
  • Audit trail on every action taken
How it works →
How it fits together

The same spine under all three.

We sit between the systems you already run and the people who have to act on what comes out of them. Nothing here replaces a system of record.

Your systems
Call recordings contact centre, field service Orders & inventory ERP, OMS, WMS CRM & tickets Shared inbox Finance & vendor data
1 · Ingest
API or SFTP read-only, on a schedule you set Your warehouse where you already have one Batch or streaming
2 · Understand
Transcription Indian vernacular languages, not English-only Classification & extraction Scored against your rubric
3 · Decide
Your rules, encoded the logic your team runs by hand Anomaly detection Revenue & risk flags
4 · Act
Drafted replies human approves Alerts routed to an owner Written back to your system of record
Your team
Per-agent scorecards Alerts to whoever owns the number Drafts in your own voice Plain-English search across everything above
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.

How we work

From first call to production.

An opinionated process, run by engineers who have taken AI to production since 2015.

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.

Selected work

What it has done.

Figures below are from live engagements. Client names are withheld.

Consumer durables

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 more →
Retail and distribution

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 more →
High-volume support

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 more →

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