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A 5-day engagement that maps your data, surfaces high-ROI AI candidates, and recommends a pilot — fixed price.

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Tier-1 bank cuts reconciliation 92%

Agentic reconciliation across 14 source systems — six-week pilot, full rollout in one quarter.

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Frontier-class models on isolated infrastructure — your data never leaves the perimeter.

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How we ship and operate eval harnesses for systems running ten-million-plus actions a month.

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Founder
Rohit Wakode — Founder & Director

B.Tech IIT Bombay · LLB GLC Mumbai. Building intelligent enterprise systems in India since 2014.

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Industry · 09

Mobility

AVs, fleet ops, urban systems intelligence — the operational layer for moving people and goods.

Fleet AIAVUrbanMobility-as-a-Service

Mobility is an operations problem dressed as a tech problem: matching supply to demand, keeping fleets healthy, and moving people and goods efficiently. We build the AI layer underneath.

From fleet AI and autonomy support to charging and last-mile, the systems are engineered for live, real-time operation.

SectorMobility, AVs, MaaS, urban systems
Real-timeLive fleet and demand data
DeploysEdge + cloud
EntryCapability pilot
01 — What we deploy

The operational layer for moving people and goods.

/ 01

Fleet AI

Live fleet health, utilisation, and predictive maintenance.

/ 02

AV support

Perception and planning components for industrial / last-mile autonomy.

/ 03

Demand & matching

Supply-demand matching and dynamic dispatch.

/ 04

Charging intelligence

Charging optimisation and scheduling for EV fleets.

/ 05

Urban systems

Traffic and movement analytics for urban operators.

/ 06

Last-mile

Sequencing and delivery automation.

02 — How we engage

From first call to production.

01

Discovery

02

Pilot

03

Production

04

Operate

STEP 01

Discovery

We pick the operational lever — fleet, matching, or charging — with clearest impact.

STEP 02

Pilot

Built on your live data, measured against current operations.

STEP 03

Production

Integrated with telematics and dispatch, deployed edge + cloud.

STEP 04

Operate

Continuous learning from real movement patterns.

03 — Where it pays

Use cases.

Fleet AIAVUrbanMobility-as-a-ServiceChargingLast-mile
04 — Engineering

Stack & standards.

Systems
Telematics
Dispatch
Charging / energy
AI
Fleet / maintenance
Matching / dispatch
Perception (AV)
Serving
Real-time
Edge
Dashboards
05 — Outcomes

What good looks like.

Higher
Utilisation
Supply matched to real demand.
Healthier
Fleets
Maintenance before breakdown.
Smoother
Operations
Decisions on live data.
06 — Questions

Answers, before you ask.

Do you build full self-driving?
We focus on industrial and last-mile autonomy with a defined operating domain, plus the fleet and operations layer — not open-world public-road driving.
Can it integrate with our telematics?
Yes — we connect to your existing telematics and dispatch rather than replacing them.
Where to start?
Fleet health or demand matching usually show the quickest operational wins.
Ready when you are

Let's talk about Mobility.

Start with a fixed-price 5-day Readiness Assessment or a 6-week pilot. Senior engineers, measurable evals, and a system you own on handover.

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