Make Every Joule Count

Physics-driven AI for Green Hydrogen
and Energy Plant Operations

A co-pilot for operators, engineers and asset owners, turning noisy industrial data into decisions rather than dashboards.

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What We Do

Multi-physics + AI for Plant Operations

Yuji Labs works across green hydrogen operations, renewable energy, power grids and conventional power plants. The target is higher uptime, better efficiency and lower OPEX, which all come to the same thing: a stronger bottom line.

Three questions decide how a shift goes.

Why?

Physics-based insights that explain why an issue is happening, not just alarms.

How?

Clear, actionable steps based on physics and plant constraints.

What Next?

Forward-looking guidance to stay ahead of failures and avoid downtime.

The problem

Challenges we are addressing

Plants lose output to problems that were visible in the data long before anyone acted on them.

Hidden Degradation

Silent performance decay goes unnoticed without physics-backed visibility, leading to unexpected failures and safety risks.

Black-Box AI Cannot Say Why

Anomalies get flagged but not diagnosed, because a model with no physics in it cannot name the mechanism that moved.

Fragmented Data

Critical data is trapped across SCADA, PLCs, historians and OEM tools, leaving plants without a unified operational view.

Reactive Maintenance

Teams respond after failures occur, increasing downtime, spare-part costs and safety risks.

Our product

Yunify™

A physics-first operational intelligence platform, from collection at the plant to guidance an operator can act on.

EMS and Microgrids

Smart grid optimisation, DER sizing and intelligent microgrid control.

Renewables and Storage

Physics-based performance insights and forecasting for solar, wind and batteries.

Real-Time Co-Pilot

Live operational guidance: why it is happening, how to fix it, and what to do next.

Simulations

Multi-physics digital twins for prediction, stress testing and scenario planning.

Analytics

Unified operational intelligence that goes beyond dashboards.

Green Hydrogen

Electrolyser efficiency, stack health and balance-of-plant performance.

From reactive alarms to proactive intelligence

How Yunify works

Legacy SCADA reports that a limit has been crossed. Yunify sits alongside it, reads the same signals in their operating context, and turns them into guidance an operator can act on. Existing alarms, trips and interlocks remain the plant's authoritative protection layers.

Legacy SCADA

Threshold alarms with no operating context, raw trends, and analysis done by hand after the event.

Yunify Edge

Reads from interfaces the plant already exposes, collects signals at source and computes on site.

Yunify Engine

Multi-physics models and learning components rank candidate mechanisms against what the plant can physically do.

Actionable guidance

A ranked cause, the measurement that would confirm it, and a recommended step, delivered as advisory information rather than as a process alarm.

Impact

What it is designed to deliver

The operating outcomes a Yunify deployment is scoped and engineered to reach, against the plant's own baseline.

20 to 30%

Fewer unplanned outages

Target reduction in unplanned stoppages.

Up to 5%

Higher production yield

Target improvement under variable load: hydrogen output on an electrolyser, and the equivalent on other assets.

2 to 5%

Lower specific energy

Target reduction in energy per unit produced, such as kWh per kg of hydrogen.

2 to 6 weeks

Earlier warning

Target lead time on stack and balance-of-plant failures.

Our Services

Beyond Yunify™ we support industries with deep-tech engineering expertise

Enabling renewable, hydrogen, and industrial plants to achieve reliability, performance, and operational excellence through advanced control, automation, and digitalisation. See the full scope of the control systems and automation engineering work.

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Control Architecture and Strategy

Robust PLC and DCS architectures designed for reliability, safety, and future scalability in complex plants.

Advanced and AI-Enabled Control

Smarter control layers like MPC and AI-assisted control that push plant performance beyond standard PID.

Digital Twin, IIoT and Energy

Digital transformation that connects assets, data, and energy flows for measurable savings and insight. See what a digital twin for various assets actually means.

The Team

Leadership at Yuji Labs

Founded by deep-tech leaders with decades of experience across power systems, renewable plants, industrial automation and AI-enabled control.

Bhavik Modi

CEO and Co-Founder · Strategy and Business Development

Bhavik brings experience from Mitsubishi, Siemens, L&T and Newtrace, spanning instrumentation and process engineering, infrastructure project management, multi-billion-dollar energy projects, industrial scale-up and large-scale clean energy deployments. He leads customer strategy, commercialisation and industry partnerships at Yuji Labs.

Deeparnak Bhowmick

CTO and Co-Founder · Technology and Product

Deeparnak is an engineering leader with experience at GE, Mitsubishi and Alstom. Expert in advanced controls and automation, industrial process and multi-physics modelling, with a research and development background and patent-pending work to his name. He architects the Yunify™ intelligence engine and drives deep-tech product development.

Know more about Yuji Labs

From the Field

Insights

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March 2026 5 min read

Electrolyzer safety

By Deeparnak Bhowmick

The purity alarm is a threshold, not a warning.

Crossover often develops gradually, as membrane behaviour drifts, impurities accumulate and operating envelopes tighten. It can also rise quickly: a pressure imbalance, a seal failure, a pinhole or a faulty analyser will not announce itself on a trend. The gradual case is the one a trend can catch, and by the time the purity alarm fires the response options have already narrowed.

Green HydrogenPredictive MaintenanceElectrolyzer SafetyDigital Twin
Read full article LinkedIn source

FAQ

Frequently asked questions

How is Yunify™ different?

Yunify™ combines physics-first models with AI, so it can explain why an issue occurs, how to resolve it, and what happens next, instead of just raising alarms.

How does Yunify™ integrate with existing SCADA and DCS?

Through OPC DA/UA, Modbus TCP, MQTT, or OEM APIs. We read historian and PLC data without altering control logic.

Do you support brownfield and multi-OEM plants?

Yes. Yunify™ is built for heterogeneous, mixed-OEM environments that are common in brownfield facilities.

What data is required for deployment?

Basic process tags, P&IDs, and control logic. Advanced analytics also use equipment curves and design parameters.

How long does a pilot take?

Typically 8 to 12 weeks, depending on data availability, equipment complexity, and the number of modules deployed.

Is on-site hardware required?

Only if your network cannot expose process data securely. Otherwise, Yunify™ Edge is deployed for secure data collection.

How do you ensure data security?

Your data stays with you. All connections are encrypted, RBAC-enabled, and Yunify™ can run on-premise or in your private cloud.

What is unique about your service?

We provide specialised engineering support for advanced control systems in green hydrogen, renewables, and power plants, including model predictive control. Yunify™ works together with our ISA CAP® certified engineers to fine-tune existing control logic, identify root causes, and improve plant performance.

Contact us

Get in touch

Tell us about the plant and what you are trying to see earlier. We will tell you whether Yunify is a fit before anyone books a demo.

Supported by

Recognised and supported by organisations and incubators in technology and sustainability.

KIIF

Karnavati Innovation and Incubation Foundation.

MeitY Startup Hub

Ministry of Electronics and Information Technology.

Startup Maharathi

Startup Mahakumbh Maharathi Challenge, and DPIIT recognition.

i-Hub

A Gujarat Government enterprise.