Enterprise AI that holds up in production.
We engineer production AI systems for complex, regulated organizations, and build proprietary software products where the same hard problem keeps appearing.
Two lines of work. One engineering discipline.
Proprietary AI software.
Software we design, build, and own, for problems we understand deeply in complex, regulated industries. Each product is validated with the organizations that have the problem before it is called ready.
Explore Products ↗Production AI engineering.
Architecture, engineering, integration, and governance for enterprise AI initiatives that have to run in production, inside the security, data, and regulatory constraints an enterprise actually has.
Engineering Services ↗Engineering keeps us close to real enterprise problems. Products let us solve the ones that repeat, once, and properly.
Software we build and own.
We turn problems we understand deeply into proprietary products, and we label each one with its real stage of development.
FIRST PRODUCT INITIATIVE · LIFE SCIENCES · MEDICAL AFFAIRS
Cirrusage Life Sciences Intelligence
Scientific answers your Medical Affairs team can verify.
Evidence-grounded answers from approved scientific content, with every statement traced to its source and every answer reviewed before it is used.
THE FIRST RELEASE IS DESIGNED TO
- Ingest and index approved scientific contentIN DEVELOPMENT
- Answer questions with citations to the exact supporting passageIN DEVELOPMENT
- Limit retrieval to approved sources, by roleIN DEVELOPMENT
- Route answers to human review before they are usedIN DEVELOPMENT
- Connect to repositories such as Veeva Vault and SharePointPLANNED
Production AI engineering for complex enterprises.
We design, build, and integrate enterprise AI systems where architecture, integration, and governance decide whether AI reaches production. We take on a deliberately small number of initiatives, so each gets founder-level attention.
- Enterprise AI Architecture & StrategyWhich use cases are worth building, and the architecture and data foundation to support them.Learn more ↗
- AI Product & Agent EngineeringKnowledge assistants, document workflows, and agents connected to your systems, taken to a working system.Learn more ↗
- AI Platforms, Integration & GovernanceShared model access, retrieval, evaluation, and observability, with the governance that lets them scale.Learn more ↗
Where AI stalls in regulated enterprises.
Knowledge scattered across systems
Critical information sits in document repositories, line-of-business systems, and inboxes that were never designed to work together.
What we build: Retrieval and integration across trusted sources, with content left in its system of record.
AI answers no one can trace
An answer without a source can't be reviewed, audited, or acted on in a regulated process.
What we build: Outputs grounded in trusted data, with the source attached to every answer.
AI disconnected from business rules
Language models are asked to do calculations, approvals, and policy checks they should never own.
What we build: Architecture that keeps rules and calculations deterministic, with AI reasoning around them.
Governance that arrives too late
Regulated organizations must show who saw what, from which source, and who approved it.
What we build: Access control, human review, and audit trails designed in from the start.
Every initiative rebuilding the foundation
Each team stands up its own model access, retrieval, and evaluation, so nothing compounds.
What we build: Shared platforms for model access, retrieval, evaluation, and observability.
Pilots that never reach production
Promising prototypes stall at security, risk, validation, or integration review.
What we build: Systems built on the enterprise architecture those reviews expect.
Domain first. Architecture second. Then the model.
Whether we are building our own product or a client’s system, the order is the same. Most AI work starts with a model and looks for a workflow. We start with how the work actually happens, then design the architecture and data it depends on.
Domain workflows
Built around how regulated teams actually work: who asks, which sources are allowed, and who must sign off.
Enterprise architecture
Systems that run in your environment, under your identity, security, and data controls.
Data engineering
Ingestion, integration, metadata, and retrieval treated as core engineering, because output quality depends on them.
Governed AI
Models do the reasoning. Permissions, citations, review, and logging are enforced in software you can audit.
Founded by an enterprise AI architect.
Cirrusage was founded by an enterprise AI architect whose work spans AI architecture, software engineering, data platforms, and AI governance, delivering production AI in pharmaceuticals, insurance, and financial services.
The company is built to turn that experience into durable technology: engineering that holds up under security review and governance, and proprietary products for the problems that keep recurring.
About Cirrusage ↗Three ways to work with Cirrusage.
Bring us an AI initiative
Architecture, engineering, integration, or governance for an enterprise AI initiative in a complex, regulated environment.
Help shape a product
Medical Affairs teams can work with us as design partners on Life Sciences Intelligence, from discovery to a scoped pilot.
Partner with us
Technology and strategic partners working on enterprise AI in regulated industries. We are open to the right conversations.
A first conversation is 30 minutes and commits you to nothing.