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The Readiness Assessment

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

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Case study
Tier-1 bank cuts reconciliation 92%

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

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Private AI on dedicated GPUs

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

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Latest
Field notes: agentic eval at production scale

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 · 06

Construction

BIM intelligence, project AI, safety vision, and progress automation for one of the least-digitised verticals.

Project AIBIMSafety visionPlant intel

Construction generates enormous data and captures almost none of it. We build project AI, safety vision, and BIM intelligence that turn site reality into decisions — on schedule, cost, and risk.

Tools are built for the field: rugged, offline-capable, and simple enough that they're actually used on site.

SectorConstruction, infra, real estate, plant
Field-readyWorks on site, often offline
DeploysCloud + edge
EntryPilot project in weeks
01 — What we deploy

Digitising one of the least-digitised verticals.

/ 01

Project AI

Schedule and cost-risk prediction from real project signals.

/ 02

Safety vision

PPE, exclusion-zone, and hazard detection from site cameras.

/ 03

BIM intelligence

Clash, progress, and model-vs-reality checks.

/ 04

Progress automation

Automated progress capture from imagery and logs.

/ 05

Plant intelligence

Telematics and utilisation insight on heavy equipment.

/ 06

Document & RFI

RFI, submittal, and document automation.

02 — How we engage

From first call to production.

01

Discovery

02

Pilot

03

Production

04

Operate

STEP 01

Discovery

We pick a live project and the highest-risk lever — schedule, safety, or progress.

STEP 02

Pilot

A working system on that project, validated against actuals.

STEP 03

Production

Rolled out across projects with offline-capable field tooling.

STEP 04

Operate

Support and tuning aligned to project lifecycles.

03 — Where it pays

Use cases.

Project AIBIMSafety visionPlant intelProgress AISchedule AI
04 — Engineering

Stack & standards.

Systems
BIM integration
Project / scheduling tools
Telematics
AI
Safety vision
Progress / schedule AI
Document automation
Field
Offline-capable
Mobile-first
Edge inference
05 — Outcomes

What good looks like.

Earlier
Risk signals
Schedule and cost risk flagged sooner.
Safer
Sites
Hazards detected in real time.
Captured
Progress
Reality recorded automatically.
06 — Questions

Answers, before you ask.

Does it work without site connectivity?
Yes — field tools are offline-capable and sync when back in range, which is essential on real sites.
Can it use our existing site cameras?
Usually yes, where placement and resolution allow; we advise on additions only where needed.
Where's the quickest win?
Safety vision and automated progress capture tend to prove value fastest on a single project.
Ready when you are

Let's talk about Construction.

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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