Featured
The Readiness Assessment

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

Read the brief
Case study
Tier-1 bank cuts reconciliation 92%

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

Read the case
New
Private AI on dedicated GPUs

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

Explore the stack
Latest
Field notes: agentic eval at production scale

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

Read the write-up
Founder
Rohit Wakode — Founder & Director

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

Read the profile
Industry · 03

Manufacturing

Predictive maintenance on equipment you cannot afford to lose. Vision systems on lines you cannot slow down. Supply chain intelligence that sees around corners.

Predictive maint.Vision QADemand forecastMES integration

Manufacturing data already exists — in PLCs, historians, and cameras. The value is in turning it into decisions: fewer breakdowns, fewer defects, and a supply chain that sees around corners.

We bridge OT to modern AI and put the intelligence where it's needed — often at the edge — so a line keeps running even when the network doesn't.

SectorDiscrete & process manufacturing
EdgeRuns on the floor, resilient to connectivity
DeploysEdge + on-prem, bridged to OT
EntryPilot line in weeks
01 — What we deploy

Intelligence on the lines you can't slow down.

/ 01

Predictive maintenance

ML on sensor streams predicts failures before they stop the line.

/ 02

Vision QA

Defect and assembly inspection at line speed on the edge.

/ 03

Demand forecasting

Forecasts that respect lead times and capacity, not just history.

/ 04

MES / SCADA integration

Bridges from PLC/DCS to a modern, queryable data layer.

/ 05

OEE intelligence

Real-time OEE with drill-down into the losses that matter.

/ 06

Supplier intelligence

Early signals on supply risk across your vendor base.

02 — How we engage

From first call to production.

01

Discovery

02

Pilot

03

Production

04

Operate

STEP 01

Discovery

We connect to one line's data and pick the win — maintenance, QA, or OEE.

STEP 02

Pilot

A working system on that line, validated against real outcomes.

STEP 03

Production

Roll out across lines/plants with edge resilience and operator tooling.

STEP 04

Operate

Monitoring, retraining, and support tuned to shift operations.

03 — Where it pays

Use cases.

Predictive maint.Vision QADemand forecastMES integrationOEESupplier intel
04 — Engineering

Stack & standards.

OT
OPC-UA / MQTT
PLC / DCS / historian
Edge gateways
AI
Predictive maintenance
Vision QA
Forecasting
Ops
OEE analytics
Operator dashboards
Drift monitoring
05 — Outcomes

What good looks like.

Less
Downtime
Failures predicted before they stop production.
Fewer
Defects
Vision QA catches what fatigue misses.
Higher
OEE
Losses surfaced where you can act on them.
06 — Questions

Answers, before you ask.

Do we need to replace our SCADA/MES?
No — we bridge to your existing OT via OPC-UA/MQTT and add the AI layer on top, so your proven systems stay in place.
Does it work with unreliable connectivity?
Yes — edge-first design keeps collection and key analytics running locally and syncs when the network allows.
What's the fastest pilot?
Usually predictive maintenance or vision QA on a single line — contained and quick to prove.
Ready when you are

Let's talk about Manufacturing.

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.

Explore

Related industries.