GOATAI

GOATAI

A working steel bay under the overhead crane — mission control, the real floor GOATAI grounds AI for.

The next frontier of AI

Grounding AI for mission control.

The most consequential operations in the world still run on human attention alone. The intelligence that could help has never been allowed in — not because it isn't capable, but because it can't be trusted where one wrong answer is irreversible.

GOATAI changes that. We ground AI in physical truth, so it can be trusted to participate where there is no second chance.

1/Mission

We empower mission-critical operations to imagine and realize new possibilities with grounded AI.

An overhead crane on a glowing ladle of molten steel — the unforgiving operations the world depends on.

The next era of AI will not be measured by what it can say, but by what it can be trusted to do. GOATAI builds for that shift: not AI that observes the floor from a safe distance, but AI grounded in physical truth — trusted to act inside operations where one mistake is irreversible. We build alongside the people who run the world's most unforgiving operations, turning what they can imagine into what they can reach.

About

2/Engine

One engine. Grounded in the physics every operation obeys.

One engine sits beneath every GOATAI system. It takes in what an operation already produces — signals from the physical world — and reasons over them against the physics that world obeys. Not a model trained to recognize patterns and hope they hold, but reasoning grounded in physical laws that cannot be broken.

One reasoning architecture, wherever the stakes are physical and the margin for error is gone — because physics is physics. Grounding is not a feature of the engine. It is how the engine thinks.

01 · Signals

ImagingThermalTelemetryGeometry

02 · Physics

Process modelsFailure models

03 · One engine — grounded in physical law

Monitoring
Prediction
Reasoning
Decision

One architecture — because physics is physics.

04 · Application

AlertsGuidanceDecisions

3/Impact

Deployed where the physics is unforgiving and one mistake is irreversible.

What counts is not how many places, but how much is at stake in each. Two demonstrations of grounded AI changing outcomes that cannot be re-run — lives and yield on the steelmaking floor, the hours a valley has before a glacial lake breaches. One engine beneath both.

Steel — Mission control on the steelmaking floor.
In build

Steel

Mission control on the steelmaking floor.

Enter Steel
Water — Early warning where a valley has hours, not days.
Live · lhonak.goatai.io

Water

Early warning where a valley has hours, not days.

Enter Water

4/Co-creation

We don't build from the catalogue. We build on the floor.

Grounded systems can't be specified from a distance. We embed with the people who run the operation — operators, automation teams, plant engineers — and build from the problem up, against the real constraints of the real floor. Not a product shipped in; a system co-created where it has to work, with the people who will trust it.

5/What's New

Building in public.

We ship and publish in the open — deployed systems, product progress, engagements, and the research behind the reasoning. The record builds as the work does.

Deployment

VARUNA — glacial-lake outburst early warning, running live in the Himalaya.

LivePlatform

How the grounded engine reasons, end to end.

Research

The research behind grounded reasoning in no-second-chance loops.

All updates

Why We're Building This

Bridging 30 years of steel-floor and heavy-industry systems knowledge with modern physics-grounded AI

Co-founder

Prabhat Tiwari

30+ years building operational systems on the steel floor and across heavy industry — the kind of work that put high-power LED illumination, cellular telemetry, and laser ranging onto cranes before any of them were convention. Designed crane vision, ladle, and fatigue systems from the problem up, not the catalogue down. The question driving GOATAI: how do you ground AI reasoning in real plant physics — BOF kinetics, heat transfer, crane kinematics — so it can be trusted on the floor?

Focus areas

  • Industrial systems & automation
  • Steel-plant vision & safety systems
  • Operator fatigue & cognitive-risk systems
  • Co-creation engagements & partnerships

Co-founder

Aditya Tiwari

AI researcher and systems developer focused on making physics-grounded reasoning operational. The challenge isn't building models — it's building reasoning architectures that respect physical laws and real-world decision constraints: BOF kinetics, caster solidification, and crane clearance, all in one engine.

Focus areas

  • Interpretable AI & scientific ML
  • Process-physics surrogates (BOF, caster)
  • Reasoning architecture & platform
  • Edge & real-time systems

Strategic Engagement

Partnerships, pilots, industrial collaboration, and research engagement

The contact experience is intentionally institutional and direct, oriented toward programs, systems deployments, and long-term collaboration.

GOATAI makes the plant legible today — the furnace, the yard, the overhead — and builds, over time, toward systems intelligence that helps run it from the safety of the pulpit. The floor ships now; the horizon is earned, not claimed.

PartnershipsPilot explorationIndustrial collaborationResearch engagement

Primary contact

business@goatai.io

For deployment discussions, co-creation engagements, research collaboration, or steel and heavy-industry intelligence initiatives.

Open contact page