Deterministic models
30+ biophysical crop models simulate growth, yield, water, and stress—even where no trial data exists.
Biophysical AI
Decision Engine
Run the plays
that win before
the season starts.
A platform built for agribusiness.
Run the Product, Feedstock, Agronomic, and Economic scenarios you and your customers will face—then choose the decision that wins. Do it before the market, competitors, or customers make that choice for you.
Your data stays yours. Each scenario builds customer-specific decision intelligence—an asset that compounds across your products, geographies, and customers.
01 / THE DECISION GAP
Stop funding guesses.Start investing in decisions.
Agriculture does not fail on an average. It fails where a product, place, and practice meet real-world variability.
Aluvial gives R&D, commercial, feedstock, and investment teams bounded answers on performance, placement, and commercial viability—so they can run the plays in silico and select the winning decision before real budget dollars are committed.
Explore decision lanesGGenetics
×Biological foundation
EEnvironment
×Where and when it grows
MManagement
How it is grown
02 / HOW THE ENGINE WORKS
One engine.
Three model layers.
Mechanistic biology gives every answer a physical boundary. AI learns what the physics cannot explain alone. Geospatial intelligence resolves it to the place and time that matters.
Neural networks
Physics-informed neural networks learn soil, water, nutrient, and response dynamics without violating biology.
Geospatial AI
Calibration brings foundation intelligence together with your field data across geographies and seasons.
03 / HOW WE DELIVER VALUE
One decision engine.
Every way to use it.
Your one-stop decision stack: simulate every play, choose what wins, and put the answer directly in the hands of people, systems, and AI agents.
ALUVIAL PRODUCT STACKMODELED EVIDENCE / HUMAN JUDGMENT
See the playbook.
Explore scenarios, inspect the reasoning, and align R&D and commercial teams around the same winning decision.
Put answers to work.
Embed decision-grade outputs in the products, workflows, and customer experiences your business already runs.
Equip your agents.
Give AI agents governed access to biophysical intelligence, so they can reason with evidence—not assumptions.
One source of evidence—from exploration to enterprise execution.
FRAME / API / MCPFOR DEVELOPERS
Bring decision intelligence into your stack.
Use REST APIs for structured model outputs and MCP to give your AI agents governed access to Aluvial's decision engine.
Talk to an integration specialist04 / THE COMPOUNDING ADVANTAGE
Start today.
Widen the moat tomorrow.
Aluvial foundation models plus your proprietary data accelerate learning and deployment—creating an advantage that grows faster with every decision.
COMPETITIVE MOAT
TodayAdd AluvialCombine your dataAccelerate models
& deployment
& deployment
01 Foundation intelligence is ready now.02 Your data calibrates the model to your business.03 Faster answers deploy through FRAME, API, and MCP.04 Every decision widens the customer-specific moat.
05 / HOW WE CREATE CUSTOMER SUCCESS
Define it. Deliver it.
Deploy the advantage.
Our repeatable, forward-deployed engagement is built to deliver outcomes—not just deliverables.
Define the decision worth winning.
Start with the commercial or R&D question. Set success criteria. Scope the geographies, products, and decisions that matter.
Build the answer with your team.
Combine foundation models with your proprietary data. Iterate quickly against the actual decision—not a generic demo.
Land it where decisions get made.
Deliver through FRAME, API, or MCP. Plug into existing workflows, then repeat for the next decision as the moat compounds.
From the first decision, Aluvial accelerates across your enterprise.
EnterpriseOne decision engine from R&D to commercial.TeamsDecisions in weeks, not seasons—aligned on one source of truth.Customer experienceSharper products, placement, and pricing that earn trust.AdoptionFast results that drive adoption and expansion.
06 / WHO WE SUPPORT
Across the bio-industrial
value chain.
One Biophysical AI Decision Engine delivers the commercial evidence teams need to choose the winning decision.
Performance & targeting
Understand which products perform where and under which conditions. Plan GTM, testing, distribution, positioning, price, and value—the advantage works before, during, and after launch.
Explore this laneFeedstock & CI intelligence
Model where yield, oil content, carbon intensity, and profitability clear together—before procurement and long-term contracts move into the market.
Explore this laneGenetics-to-market intelligence
Optimize hybrid placement, field-level value strategy, and multi-year advancement with phenotypic and genetic simulations.
Explore this laneDiligence & portfolio intelligence
Stress-test product effect, value, growth, and yield risk to turn agronomic variance into investment-grade evidence.
Explore this laneRisk & portfolio intelligence
Price crop and parametric policies, quantify weather and yield exposure, and review reinsurance portfolios with biophysical evidence.
Explore this laneAutonomy & prescription value
Tune autonomy and prescription value for local conditions while bringing high-resolution edge data into global context. Give customers and partners a clear, quantified case for adoption, performance, and value.
Explore this laneRegional Performance
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07 / WHY THE ANSWER HOLDS
Physics-constrained models.
Decision-grade outputs.
The product is not a map, dashboard, or plausible-sounding recommendation. It is the bounded prediction behind your decision.
Aluvial resolves uncertainty from Genetics × Environment × Management and returns confidence bounds, risk profiles, and recommended actions for the decision in front of you.
30+Biophysical crop models
3Continents live today
G×E×MDecision framework
08 / WHO WE ARE
The Aluvial team.
Built to make it real.
Commercial insight and biophysical depth, deployed together so the science lands as customer outcomes.
Randall Barker
Translates commercial reality into AI strategy—setting the implementation path so the science lands as customer outcomes.
Kyle Taylor
Bridges biophysical science and machine learning—building the models that turn G × E × M complexity into reliable, in-field predictions.
THE ADVANTAGE COMPOUNDS FROM THE FIRST DECISION
Let's build your
decision engine.
Bring us the decision you need to get right before the season—or your competition—gets there first.
Book a 30-minute Goal Session