AI for physical supply chains
PLANet-ZERO helps physical businesses understand what is happening, predict what is likely to happen next, and act earlier to improve production, quality, cost and profit.
Starting with tea. Built for the long tail of global supply chains.
Understand→Predict→Recommend→Learn
Connected system
94%
of target
83%
confidence
Field 17
rising
Reallocate workforce
The physical world still runs on uncertainty
A factory does not know how much leaf will arrive, or at what quality. An estate cannot see where cost and profit will finish. A producer cannot tell which action today pays tomorrow.
The information exists. It is just fragmented, late, or never captured at all.
PLANet-ZERO turns that uncertainty into decisions people can act on.
Where the day's numbers live until someone types them in.
The PZ Certainty Engine™
Not a collection of disconnected applications. One engine that understands the operation, recommends the action, and measures what actually happened.
Ground-zero data
What is happening
Ontology
How the business works
Prediction
What happens next
Recommended action
What to do now
Outcome
What actually happened
Learning
How close we were
Built on top of the engine
Ground zero up
Enterprise platforms begin with data already inside the corporation. PZ begins where the missing data is created — workers, farmers, fields, factories, SMEs — and builds upward.
Palantir organized enterprise data. PZ is organizing the long tail of physical supply chains.
Palantir is referenced as a methodology analogy only. PLANet-ZERO is independent of, and unaffiliated with, Palantir.
Enterprise
Brands · Traders · Banks · Insurers
Operations
Factories · Estates · Processors
Ground zero
PZ starts here
Workers · Farmers · Fields · SMEs
↑ Intelligence flows upward, from where the work happens
A new operating model for the physical world
Palantir-like methodology
Enterprises spent billions integrating data to understand their operations. Small producers never could. PZ builds that model from the ground up — fields, workers, inputs, factories, outcomes.
Palantir organised enterprise data. PZ is organising the long tail.
Google Maps for business outcomes
Dashboards report the past. You set the destination — production, quality, cost, profit — and PZ shows where you are heading, how certain that is, and which route closes the gap.
Destination, predicted arrival, constraints, alternative routes.
Uber / PickMe network effect
Uber and PickMe digitized millions of independent drivers and transformed uncertain transportation into increasingly predictable availability. PZ connects fragmented producers and businesses so quantity, quality, timing and eventually economic outcomes become increasingly predictable.
Uber digitised millions of drivers. PZ digitises millions of producers.
Palantir, Google Maps and Uber are referenced as methodology analogies only. PLANet-ZERO is independent of, and unaffiliated with, these companies.
The PZ Certainty Engine
Destination
1.42M kg
Rs 287M
PZ predicted arrival
1.34M kg
Rs 269M
Certainty
82%
Gap to destination
–80,000 kg
–Rs 18M
What's causing the gap?
PZ recommended route
New predicted outcome
1.41M kg
Rs 284M
+Rs 15M recoverable value
Not just that there is a problem — the predicted outcome, the cause, the alternative, and what actually happened.
Illustrative example. Figures shown are not results from a live deployment.
One engine. Three value layers.
What is going to happen?
Forecast production, quality, labour, cost and profit before the month is over.
Outputs
Commercial model
Free / low-friction adoption layer
How do we improve the outcome?
Find the actions with the highest economic return, then track whether they were taken and what they earned.
Tracked loop
Commercial model
Subscription, with commercial terms agreed per customer
What can the wider ecosystem know?
Turn ground-zero operations into intelligence for factories, brands, traders, banks and insurers.
Potential outputs
Commercial model
Enterprise subscriptions + APIs
Unlike generic AI, PZ learns from what physically happened after its recommendations. Over time this creates proprietary action-to-outcome intelligence that improves prediction across customers and commodities.
One network. Different economic outcomes.
AI isn't the moat. Ground truth is.
Observe
What is happening
Predict
What will happen
Recommend
What should change
Act
What was actually done
Measure
What it earned
Learn
How close we were
Every turn records what we predicted, what was actually done, and what it earned. Models get commoditised. That record cannot.
More users → more actions → better predictions → more users.
PZ Certainty™
How reliably we predict an outcome.
Target: continuously improving
PZ Alpha™
The economic value our recommendations create.
Measured against a baseline
The enterprise sees the supply chain from the top down. PZ builds intelligence from the ground up.
Starting where the problem is real
Tea combines fragmented producers, labour constraints, biological variability, weather, quality variation, capacity constraints and commodity pricing. That makes it an ideal environment to test whether better data and better action can create more predictable and more profitable outcomes.
See the Sri Lanka Tea Pilot
Working with
Relationships at various stages. Results are published only where they have been measured and permission given.
One engine. An expanding data network.
The industry changes. The core learning engine stays the same: observe → predict → optimize → act → learn.
Tea
Better visibility, better decisions, repeatable commercial value.
Global commodities
Same architecture, new ontology — coffee, cocoa, rubber and beyond.
Ground-zero intelligence
Supply forecasting, risk analytics, benchmarking, traceability and APIs.
Today PZ helps businesses make better decisions. Tomorrow the network can help the global economy understand what is happening at ground zero.
Why we exist
Find Hidden Profits. Cut Waste.
Save the Planet.
Built by operators
Gihan Atapattu
Founder & CEO
35+ years operating global industrial supply chains, including as President of Ball Corporation Asia across China, ASEAN and India.
Tim Commons
CTO
Large-scale data and systems engineering from national-security and NASA programmes — the disciplines prediction depends on.
Dirk Weber
CFO
30 years as a CFO in emerging markets — exactly the geographies where ground-zero supply chains operate.
Prof. Mohan Munasinghe
Chief Scientific Advisor
Nobel Peace Prize contributor and Blue Planet Prize laureate, linking economic, social and environmental outcomes.
Farm, factory, estate, trader or bank — PZ builds intelligence from where physical value is actually created.
Investor enquiries →