
EMBEDDED AI SYSTEMS · OFFER 03
Multi-agent systems that run your operations.
For companies past the prototype stage. Algorama embeds in your environment and builds the agent systems that run your operations. Mapped to your workflows, wired into your CRM and ERP, monitored in production, and owned by your company.
ENTERPRISE-GRADE BY DEFAULT
WHAT THIS IS
The AI layer your operations run on. Built inside the environment you already have.
Embedded AI Systems is a long-term partnership. Algorama works inside your org, in your repos, your data environment, and your tooling, building multi-agent systems that execute real workflows end to end. Built to run in production and to hold through audit and diligence. Infrastructure your company owns.
HOW WE DELIVER
We map where AI creates the highest impact in your operation: the points between input and decision where speed and consistency determine the outcome. The agents get built around that map. Complex, high-volume inputs. Fast, predictable results.
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
Architect
We design the agent architecture and decision support pipelines around that analysis: agent roles, explicit handoffs, and where the judgment that matters stays with your team.
03
Integrate
Agents are injected directly into your existing platforms: LIMS, research platforms, clinical software, CRM, ERP, and proprietary datasets. Configured for drug R&D, clinical trials, and complex operational workflows.
04
Measure
We instrument the system from day one: real-time visibility into AI performance, decision logs, and output quality. Post-deployment tuning and performance reviews are built into every engagement.

WHAT’S INCLUDED
Built into every engagement.
WHO IT’S FOR
Embedded AI Systems is for organizations with complex, ongoing operations that require AI purpose-built for their environment. Often in regulated, data-sensitive industries, and in any context where the data needs to stay inside the organization’s infrastructure and the AI needs to run at scale over the long term. The IP is yours on delivery.
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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You operate in a regulated, data-sensitive environment.
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You’re investing in AI infrastructure your company owns outright.
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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Bring the operation. We’ll build the system that runs it.
Every engagement is scoped to your workflow before a line is built, and delivered as infrastructure your company owns. Book a discovery call and bring the operation that matters.