PRODUCTION DEVELOPMENT · OFFER 02
Proprietary AI, trained on your data, documented as your asset.
For companies that need to own the AI they are paying to build. Algorama trains and deploys inside your environment with full data residency, no dependency on third-party API keys, and full IP transfer written into the SOW before the build starts.
ENTERPRISE-GRADE BY DEFAULT
WHAT THIS IS
AI infrastructure built to survive a raise, an acquisition, or a due diligence process.
Production Development answers the question of whether to build AI your company owns or stay dependent on a platform that belongs to someone else. Algorama designs and builds proprietary AI infrastructure: models trained on your data, hosted in your environment, with full data residency control and nothing between your company and your own system. For a VC or acquirer conducting AI due diligence, owned infrastructure reads as an asset on the cap table. A platform subscription does not.
HOW WE DELIVER
The ownership structure is documented before the first sprint, not negotiated at handover. Every stage runs inside your environment, so the system that gets transferred is the system that was tested.
01
Scope
Architecture, delivery plan, IP ownership structure, and success metrics documented in the SOW. Readable by your engineering team, your board, and any acquirer.
02
Train
Proprietary model training and fine-tuning on your data, with evaluation harnesses built alongside the model rather than after it.
03
Deploy
Private hosting inside your infrastructure with full data residency control, deployed into your existing pipelines.
04
Transfer
Weights, checkpoints, architecture documentation, and deployment scripts transfer on final payment. The system runs without Algorama in the room.
WHAT'S INCLUDED
Built into every Production Development engagement.
WHO IT'S FOR
Production Development is for organizations preparing for a raise, an acquisition, or a diligence process, and for teams whose third-party API spend has grown into an infrastructure decision. The common thread is that the AI at the centre of the business needs to be owned rather than rented.
A FIT IF
Understand the build
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You are preparing for a raise or acquisition and need AI that registers as owned infrastructure, not a cost line.
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Your board or investors have raised questions about AI IP ownership or platform dependency.
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You are spending $20K or more per month on third-party AI API costs and want to own the underlying infrastructure.
NOT THE FIT YET
Understand the build
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You have a complex operational workflow that needs AI to execute end to end, not a model to build on.
PROOF
FAQ
What does "full IP transfer" mean in practice?
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How is this different from buying an AI platform?
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Can Algorama work alongside third-party AI platforms we already use?
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How long does a build take?
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Where does our data live during training?
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What happens after the build is delivered?
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Own the infrastructure, not the subscription.
Every engagement is scoped and documented before a line is built, with the IP transfer terms agreed in the SOW up front. Book a discovery call and bring the system you need to own.