Offering
Performance Intelligence
Launch decisions improve when you can see responder classes, trial placement priorities, and downside conditions before broad field spend.
Aluvial.
Biological response
Carbon intensity & feedstock
Portfolio diligence
MRV infrastructure
Aluvial gives crop science companies immediate decisions on product performance, placement, and commercial viability — without waiting years for field trial results. We deliver go/no-go placement maps for biologicals, feedstock pathways, and crop assets — calibrated for the specific environments and growing conditions that matter to your commercial case.
Delivering day-one deployment intelligence for
Biological & Biostimulant DevelopersSeed & Trait InnovatorsSAF Feedstock AggregatorsPrivate Equity & Ag Asset Managers
Proof
What Aluvial makes
Four research engagements for launch, feedstock, diligence, and reporting decisions. Structured delivery is available later for advanced teams that need machine-readable outputs in internal workflows.
What you receive
Confidence bounds, risk profiles, and recommended actions
County-level CI and feedstock risk screen with downside ranges
Asset or portfolio scenario model with region-level exposure
MRV reporting package with optional API or MCP delivery
Offering
CI & Feedstock Intelligence
Feedstock programs need localized CI, yield, and contract risk views before acreage and procurement move forward.
Offering
Portfolio & Due-Diligence Intelligence
Compare assets and regional strategies with modeled yield, risk, and CI exposure rather than single-point assumptions.
Offering
Observational Data & MRV Infrastructure
Some clients need direct exports and ongoing compliance infrastructure, not just a one-time memo.
Built for organizations making high-cost agricultural decisions across product, feedstock, and portfolio strategy.
Test
Validate a biological or genetics program
Biological Response Intelligence
Use controlled studies and response modeling to see where a product works, who responds, and where a launch is likely to stall before field budgets and channel relationships are committed.
You get a clearer launch case, less wasted field spend, and a better answer to where the product should and should not go next.
Scale
Screen feedstock pathways before expansion
CI & Feedstock Intelligence
See where yield, oil content, carbon intensity, and profitability clear together before acreage, procurement, or compliance claims move into the market.
The result is a better answer to where a pathway qualifies on paper, where it works commercially, and where to avoid expensive procurement mistakes.
Prove
Underwrite a product, asset, or region
Portfolio & Due-Diligence Intelligence
Turn agronomic variance into investment-grade diligence by comparing expected performance, downside exposure, and regional fit before capital is committed.
You get a recommendation that can hold up in investment review, commercialization planning, or partner diligence.
Embed
Extend proven work into internal systems
MRV & Enterprise Infrastructure
Once the agronomic and commercial value is proven, some teams need structured exports, MRV workflows, and machine-readable delivery that fits their internal operating model.
That keeps the public offer client-driven first, while still giving sophisticated teams a clean path to operationalize validated outputs later.
Not a CRO
Every engagement delivers a named output your commercial team can act on directly — not billable field days or raw data exports.
Your data stays yours
Client input data is isolated to your engagement and never used to calibrate shared models or inform other clients.
No bioinformatics required
Outputs are designed for product managers, BD leads, and investment teams — not data scientists or crop modelers.
Architecture
How Aluvial Works
Canola go / no-go regions
County-level breakeven viability (2022 drought-stress year)
GoMarginalNo-go
Loading map…
2022 western Canada heat dome. This map uses 2022 as a representative drought-stress year. A prolonged heat dome across the Canadian Prairies drove severe moisture deficits during pod-fill, suppressing Spring Canola yields well below breakeven across much of Saskatchewan and Alberta. Counties shown as Marginal or No-go reflect that acute growing-season stress — not long-run average production potential.
Why is the US breakeven lower? Canadian growers face a currency mismatch: inputs (seed, fertilizer, diesel, land rent) are purchased in Canadian dollars, while canola trades near world price in USD. After CAD/USD conversion and prairie basis deductions, the effective breakeven yield rises to roughly 35–45 bu/ac. US producers typically carry lower per-acre input costs, a stronger domestic basis, and avoid the currency drag — placing their breakeven closer to 28–38 bu/ac.
Spring canola yield by viability grade — 2022 average bu/ac in No-go, Marginal, and Go counties
Canada
United States
No-goMarginalGo2022 country avg
1
TEST
Validate product efficacy and response classes
2
SCALE
See where yield, CI, and profitability clear together
3
PROVE
Turn agronomic variance into investment-grade diligence
4
EMBED
Structured exports and MRV for advanced teams
TEST
SCALE
PROVE
EMBED
Calibration compounds
Each engagement deposits calibration data for that geography. Your second engagement in that region is more precise than the first. Your fourth is investment-grade.
The Science of Certainty
Our physics-constrained models are calibrated against field and greenhouse observations across major commodity and oilseed crops, ensuring every decision — from a single product trial to a multi-region portfolio — is built on mathematically defensible ground truth.
Aluvial is not a contract research organization. We do not bill field days or sell raw datasets — every engagement delivers a named output your commercial team can act on directly. Your input data remains yours; we do not train shared models on client engagement data. Outputs are designed for product managers, BD leads, and investment teams — no bioinformatics background required.
Contact hello@aluvial.ag or, for advanced data teams, explore the API docs at api.alvl.io/redoc.
Next step
See if Aluvial fits your decision cycle
If you are evaluating a biological, feedstock pathway, product rollout, or agricultural asset, we can show you what the evidence supports before larger commitments are made. Each calibration engagement deposits regional response data into our biophysical model — teams that start with TEST receive more precise PROVE outputs, and every engagement in a geography improves the model's accuracy for that region.