Hyve is a federated intelligence platform. Each organization that participates makes the model smarter for every other organization in the vertical — without exposing any participant's raw data. It's the reason Hyve exists, and the architecture every vertical we open uses.
A single organization training its own AI starts from zero every time. A network of organizations — sharing patterns, not raw data — produces a model that's smarter than any individual participant could build on their own. That's federation.
Your own branded agent (FieldIQ, Echo, or vertical-specific). Your customers interact with it. Your data stays on your deployment, under your control.
What the network learns from your participation are patterns — model improvements, behavioral signals, vertical-wide intelligence. No participant can see another participant's underlying records.
The rollup view — vertical-wide intelligence, cross-participant trends, regional and national signal — is monetized separately to buyers who need it. That's what subsidizes accessible participation pricing.
Federation only works if participation pricing is low enough to drive adoption. That's why Hyve's economic model separates participation revenue (the cost of being in the network) from signal revenue (the value of reading the network).
For the organizations doing the work — local party districts, brokerages, clinics, programs, firms. Priced to drive adoption, because adoption is what makes the network valuable.
For organizations that need the rollup — candidates, campaigns, national orgs, state parties, multi-region operators. Signal pricing scales with the value of the intelligence, not with seats.
Federation only works if participants trust the architecture. Hyve is built so that no participant ever sees another participant's raw data, and the signal layer reads aggregate patterns — not underlying records.
Political was Hyve's first vertical because the conditions are ideal — thousands of fragmented local participants, a sophisticated signal-layer buyer (candidates, campaigns, state parties), and no existing federated intelligence layer. The same conditions exist in many other industries.
Legislative districts, county parties, and local orgs as participants. Candidates, campaigns, and state parties as signal-layer buyers. FieldIQ + Lidy as the participant products.
See the Proof PointBrokerages as participants. National brands, MLS operators, and market intelligence buyers as the signal layer. Same federation pattern, different products.
Discuss PartnershipIf your industry has fragmented participants, a shared intelligence problem, and a buyer at the rollup layer, the federation pattern probably fits. Healthcare, legal, recruiting, local government — all candidates.
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