[Home](/) › The Opportunity # The opportunity CropIntel is a working, daily-refreshed UK wheat intelligence system with a public, walk-forward-validated track record. The model, methodology, curated data corpus, and brand are available to acquire by the right strategic buyer. In one paragraph Everything you can see on this site, the per-region yield call, the farmer sentiment, the forward-prediction log, is the public *output*. What produces it is not public: a multi-component model calibrated on 23 years of UK regional data, a hand-curated UK arable practitioner corpus, and an accumulating, scored sentiment record. That engine, its methodology, the data, the codebase, and the brand are for acquisition. Replicating CropIntel is not a coding exercise: the model is calibrated on more than two decades of regional data, the corpus is hand-curated and proprietary, and the public track record accrues one harvest at a time. That last part is the catch a new entrant cannot engineer around: to hold a multi-year public record in 2029 you had to start banking calls years earlier. None of it is reconstructable from this public site. ## What you'd be acquiring - The model + full methodology, the ensemble, the feature engineering, the sentiment scoring, the consensus filter. The how behind the 62.3% walk-forward hit rate. - The curated practitioner-region map, the project's primary defensible IP. A season-plus of curation; not extractable from the public site. - The accumulated historical sentiment corpus, scored UK arable practitioner data that compounds in value daily. - The public forward track record, timestamped calls made ahead of harvest. The artefact that de-risks every claim on the site. - The codebase + daily pipeline, ingest, scoring, render, publish, email, weekly video. Running in production today. - The brand, domain, indexed footprint, and subscriber list. ## The data, and its provenance What transfers is **derived, proprietary data and the methodology that produces it**: the curated practitioner-to-region map, the scored sentiment features and rolling aggregates, the compound-stress series, and the forward-call log, none of it republished third-party text. The weather, satellite, and price inputs are standard open or licensed sources (ECMWF ERA5 via Open-Meteo, Sentinel-2, AHDB Corn Returns); the practitioner-sentiment layer is built by observing public UK arable discussion under a clearly-identifying, publisher-respecting ingest, and is stored as *scores and features*, not as a raw corpus for redistribution. Full data lineage, source terms, and exactly what conveys at completion are documented in the diligence pack, so a buyer's data and legal teams get a clear provenance map under NDA before anything is signed. ## Who it fits The clearest acquisition fits are [data & market-intelligence publishers](/for/data-publishers) and [agri-input / agritech platforms](/for/agritech), buyers with distribution who lack the model and corpus. It also demonstrates direct value to [grain merchants](/for/grain-merchants), [insurers](/for/insurers), and [commodity desks](/for/commodity-desks) ([all use cases](/for/)). It's a turnkey UK-wheat module with a customer-facing story already written. ## Built for more than wheat CropIntel is engineered as a **UK arable platform**, not a single-crop tool. The expensive, slow-to-build parts, the weather pipeline, the curated practitioner corpus (already multi-crop, the same growers discuss wheat, barley and oilseed rape), the scoring engine and the brand, are shared across crops. The marginal crop is cheap; the buyers are the same (merchants, insurers and desks trade the whole rotation). In internal feasibility testing the same engine has been shown to **extend cleanly to oilseed rape and barley**, with correct agronomy matching wheat-grade performance on a second crop and delivering strong bad-year detection across crops. A **costed, validated, ready-to-execute build plan** for OSR and barley, with the full results, is in the diligence pack. So an acquirer isn't buying a wheat forecaster; they're buying a proven UK arable engine with a shovel-ready expansion across the combinable-crop complex, included in the acquisition. (Wheat is the live, proven product today; the additional crops are demonstrated capability on the roadmap, not yet live.) ## The financial case **The right yardstick is value to you, not our build cost.** Price this against the value it unlocks, which is a multiple of any build cost, and the build can't be compressed in calendar time anyway. Illustratively, per segment: a data publisher, around **£3m of new recurring revenue** from a forward tier across an existing base; a grain merchant, **£1-2m a year** of better-timed cover on a 500,000-tonne book; an insurer, a **seven-figure swing** on a single anticipated bad year; a commodity desk, a **seven-figure seasonal PnL** contribution. The per-segment workings are on the [use-case pages](/for/), value at stake, illustrative, not guaranteed returns. **Revenue upside, not just a capability.** For a data publisher, a forward-yield tier lifts ARPU across an *existing* subscriber base: the acquisition can pay back on cross-sell before a single new logo. For an operator, the value is in the decisions: a directional edge on a book worth tens of millions, or one early bad-year call that lets an insurer reserve a quarter ahead. The per-segment sizing is on the [use-case pages](/for/). **Cheaper than building, and far faster.** Starting from scratch means standing up the full pipeline, calibrating a model on two decades of regional data, and hand-curating a UK arable practitioner corpus, and only *then* can a public track record begin to accrue, one harvest at a time. That last part can't be bought off the shelf or accelerated with headcount: a credible multi-year record is calendar time, not engineering time. Acquiring gives you the working system *and* a head start measured in years. **High margin to operate.** The system runs autonomously on commodity cloud infrastructure with negligible marginal cost to serve. Any revenue an owner layers on top drops almost entirely to the bottom line: a high-gross-margin asset, not a headcount-heavy service. **Optionality.** UK wheat today; the methodology generalises to other cereals and geographies. The clearest near-term roadmap item is an **earlier-lead bad-year detector** on the accumulating sentiment layer, kept separate from the validated ensemble, pushing the call further ahead of harvest as the forward data matures. The roadmap is yours to direct post-acquisition, you're buying a platform, not a single number. ## Commercial model **Public data is free.** The entire site, every call, the track record. No login, no paywall: it is the diligence artefact. **Acquisition (POA).** The whole asset: model, methodology, corpus, track record, code, brand. An asset sale with full IP assignment and a transition period, for the strategic buyer who wants to own and extend it. ## How it runs CropIntel runs **autonomously in production** on a single cloud instance (AWS, London region). An automated daily pipeline ingests data, scores sentiment, runs the ensemble, renders the site, pings search indexes, emails subscribers, and on Sundays renders the weekly video, finishing by 07:25 UTC. The database is backed up daily, with an append-only off-host copy a compromised server cannot erase. No manual step is required for the daily call to publish. It is deliberately simple to operate and to transfer: standard Python, standard cloud primitives, no bespoke infrastructure, one documented runbook. The third-party inputs (weather, satellite, price, and the LLM scoring layer) are mainstream and substitutable, none is a single point of lock-in. ## Diligence The public site is the shop window; a structured data room sits behind it, available under a mutual NDA. It contains: - The full methodology, model architecture, and feature engineering. - The complete walk-forward results and the entire forward-call history. - The curated practitioner-region map and corpus structure. - Data lineage and source terms (see provenance above). - The codebase, the operating runbook, and the cost base. To start, email [alastair@hurricane.works](mailto:alastair@hurricane.works?subject=CropIntel%20diligence) for the one-page summary and a mutual NDA. Diligence is handled directly by the builder; expect a reply within two working days. Start a conversation To start an acquisition conversation: [alastair@hurricane.works](mailto:alastair@hurricane.works). Direct to the builder, no intermediaries. Related: [Track record](/track-record) · [Methodology](/methodology) · [CropIntel vs alternatives](/comparison) · [About](/about)