AI for manufacturing operations

AI democratized for the shopfloor.

Practical, production-grade AI in the hands of the people who run manufacturing every day. Generate the optimal process recipe with one click — without specialised AI infrastructure or a dedicated digital team.

Real-time process visibility•End-to-end traceability•AI-led process optimisation

Optimal recipe · Curing line 2 ILLUSTRATIVE
Objective
Minimise defect rate
Model confidence
High
Recommended operating ranges
Cure temperature[range]
Cure time[range]
Compound viscosity[range]
Why: rationale grounded in your SOPs and historical runs — shown with every recommendation.
Recipe generated in one click

The gap

AI lives in the virtual world. Your problems are on the line.

Impact arrives months after kickoff
Pre-built analytics, usable on day one
Build a CoE before handover
Ownership sits with operations from the start
Waiting on the digital team for a recipe
Optimal recipe instantly, by the line
Static recipes for a changing shopfloor
Tailored to today's materials and conditions
Adoption fades when consultants leave
Self-sustaining: a standard step in the SOP
That's AI the shopfloor actually uses.

The CitizenOps value loop

One platform. Every batch traced, seen, understood and optimised.

Each capability feeds the next. The data you capture today trains the recipe you run tomorrow — and every run makes the loop smarter.

/ 07
Plant intelligence loop
Capability

Capture → See → Act → Understand → Optimise → back to the line

How it works

From raw plant data to a trusted recipe in four steps.

01

Upload

Process data plus SOPs and manuals — so recommendations reflect how your process actually runs.

02

Check data readiness

Gaps, outliers and variance flagged instantly, with what to fix — bad data never drives a decision.

03

Generate the recipe

One click. Built-in ML models return optimal operating ranges with confidence and rationale.

04

See the why

Drivers, anomaly diagnostics and an audit trail behind every recommendation.

Why CitizenOps.AI

Proven analytics. Built for the people who run the plant.

06

A rare expertise stack

Manufacturing depth, AI engineering, data science and product management in one team.

05

Cloud or on-prem

Hosted by us or inside your network — data stays where your IT policy needs it.

04

Adoption that sustains

Recipe generation becomes a step in the SOP, and visible results keep teams using it.

01
Day-one impact
02
Operations-owned AI
03
Instant recipes
04
Adoption that sustains
05
Cloud or on-prem
06
Expertise stack
CitizenOps.AI
Proven analytics,
innovative implementation
01

Day-one impact

Pre-baked analytics for proven use cases — the product works from the first upload.

02

Operations-owned AI

Supervisors and process engineers run it themselves, with no dependency on a central digital team.

03

Instant recipe generation

React to a new raw-material lot or changing shift conditions in minutes, not weeks.

The AI repository

Industry-first, best-in-class use cases.

Industry-agnostic across automotive, chemicals, pharma, renewables, rubber and FMCG. Pick the outcome that matters most on your line.

For plant heads and CXOs

Implementing AI is a leadership decision, not just technology

Value delivery

  • Better yield, throughput and quality
  • Higher perceived enterprise value with AI adoption
  • Data becomes the single source of truth for decisions
  • Best practice benchmarked and scaled across plants

Governance

  • Real-time plant and process visibility
  • Exception-based alerts that focus on priorities
  • Audit trails and compliance readiness
  • Standard KPIs across plants and business units

Customer relations

  • Alignment with Industry 4.0 expectations
  • Traceability and analytics for OEMs
  • Predictable, reliable quality assurance
  • A stronger OTIF record that builds trust

Workforce

  • Less dependency on a few key individuals
  • Experience converted into reusable insight
  • Knowledge kept when people move on
  • Retains and attracts tech-savvy talent

About us

Democratising AI for the Shopfloor

Core philosophy

The people accountable for manufacturing outcomes should be empowered to operationalise AI.

Vision

Redefine industrial operations.

Putting practical, production-grade AI in the hands of the people who run manufacturing every day.

"The shopfloor operator is the AI user."

Mission

Democratize AI. Accelerate impact.

A scalable, deployment-ready platform enabling shopfloor teams and plant leaders to apply AI directly on production data — without specialised AI infrastructure or dedicated digital teams.

Productivity Quality Reliability Energy

"From factory floor to boardroom — powered by AI."

The founders

Rare depth across operations, AI engineering and product.

Manufacturing depth + AI engineering + data science + product management = CitizenOps.AI.

Riya Chakravarty

Riya Chakravarty

Manufacturing & AI engineering

Ex-McKinsey Associate Partner with 10+ years leading digital transformation across automotive, chemicals and renewables. Led five WEF Lighthouse journeys in India, with deep expertise in AI and analytics for manufacturing.

Anhad Sood

Anhad Sood

Product management

Ex-Euronext, with 14+ years building and implementing digital software products for global MNCs, and deep expertise in SaaS.

How we engage

Build conviction before you commit.

Start small, prove the KPI moves against an agreed financial baseline, then scale.

STEP 01

Initial workshop

Best practice, a live product walkthrough and the value case for your plant.

STEP 02

Plant dipstick

Jointly pick the problem statement and set the financial baseline.

STEP 03

Proof of concept

One line, one priority use case — prove positive KPI movement on live data.

STEP 04

Scale and subscribe

Roll out across lines and plants, with capability building and training.

Let's build this together.

Start with a plant dipstick. We'll jointly identify one high-value use case along with its KPIs and the financial baseline to measure it against.

sales@citizenops.ai · +91 99102 70023 · Gurugram, India