A walkthrough of the access path, the contracting model, and how usage turns into recurring revenue. The customer’s data never leaves their control boundary, and they never sign a new contract with us to start.
They are already under a master agreement with Snowflake, Google Cloud, AWS, or Azure. Axiomera is procured under that existing relationship. They accept our listing terms inside the marketplace, the cloud platform meters and bills the usage, and it pays us out. No separate vendor MSA, no procurement cycle starting from zero, no new security review. That removes the single biggest source of enterprise sales friction.
Take Heidelberg as the user. Their data already lives in their governed cloud environment. Axiomera runs as a native service right where the data sits, does the transformation in place, and the data never leaves. The customer simply consumes more cloud services as they use it. The cloud platform bills the customer and pays us. Pick a platform to see the path.
The customer finds Axiomera as a native service in the cloud marketplace and subscribes under their existing platform agreement.
Axiomera runs inside the customer’s own account. No raw data is exported. Governance, residency, and access policy stay with the customer.
Data passes through the SCE → DMM → DHM pipeline and is returned classified, mapped, and standards-aligned.
The cloud platform meters usage, bills the customer, and pays HeyDonto out. Usage compounds into recurring revenue.
These platforms already hold the data of the biggest healthcare and life sciences companies on the planet, each running many integrations across many systems. We do not have to win them one at a time. By living natively in the marketplace, Axiomera is available to that entire installed base wherever their data already sits.
Top targets from the Axiomera cloud channel list. Named platforms are market reference points and channel targets, not implied customers.
Interface partners are the pipes. They connect data from many different systems, but everyone building on those connections has to do the transformation work themselves, after the connection, on raw data. Wire Axiomera into the interface and that changes. Data leaves the interface and lands in the customer’s cloud environment already converted, having already gone through our algorithm. Structured, not raw.
Interfaces connect the systems, but whoever builds on top has to classify, standardize, and reconcile the raw data themselves after the connection.
We sit inside the interface as a semantic intelligence tier. Data passing through is transformed in flight, not after the fact.
Data leaves the interface and arrives in the customer’s cloud already converted, structured and standards-aligned instead of raw.
We live in the marketplace. The customer consumes it through the partner and the platform, with no new contract to sign.
Teams building apps that work with hospitals go to the interfaces to pull data. The problem is what they get back: a flood of different formats from different systems that they then have to stitch into longitudinal records, give semantic meaning to, and make interoperable. That last-mile work is messy, expensive, and never finished. Axiomera does it inside the pipe, so the data lands already structured. We take on the hardest part of the job for everyone building on those connections.
Top targets from the Axiomera interface channel list. Named partners are market reference points and channel targets, not implied customers.
The cloud relationship carries the legal, procurement, and billing weight. That is the difference between a multi-quarter enterprise sale and a marketplace subscription.
Which model applies depends on how the customer consumes. All revenue is recurring; the cloud marketplaces run on the usage model.
Metered on data volume processed or API calls against the semantic layer, billed monthly in arrears. Scales with the value delivered.
A recurring fee for steady, predictable use, for example per location or per tier, with simple, fixed pricing.
An annual license plus revenue share when a partner embeds Axiomera in their own product and monetizes it downstream.
We list where the data and the budget already sit. A marketplace listing puts Axiomera in front of the existing healthcare and life-sciences base on each platform, with co-sell motion from their field teams.
Native service on Snowflake Marketplace with the full go-to-market motion: listing, co-sell, and joint press. Customers can pay from committed Snowflake spend through the Capacity Drawdown program.
Marketplace listing and co-sell motion, close to finalizing. Same native deployment pattern: enrich in place, return structured data, meter through the platform.
Additional native deployment surfaces for customers whose data already lives there. The same engine, the same in-place enrichment, the same metered billing rail.