AI for Enterprise & Regulated Industries

Owned, model-agnostic AI infrastructure tailored to enterprise and regulated industries — finance, healthcare, government, defense, and more.

18 pages

What's in the Enterprise by Industry Hub

Owned, model-agnostic AI infrastructure for enterprise and regulated industries — financial services, healthcare, government, defense, energy, insurance, legal, and corporate. Each entry covers the compliance posture (FINRA / SR 11-7 for FS, HIPAA + BAA reach for healthcare, FedRAMP / IL4-IL5 for government, ABA Model Rule 1.6 for legal), the deployment options (Managed VPC → on-premise → air-gapped), and the integration paths to the systems your industry already runs.

The thesis across every industry: the highest-volume AI workloads (KYC / AML, prior auth, FOIA, contract review, advising) are exactly the workloads where per-seat SaaS and per-transaction vendors are economically wrong — and where data residency makes managed vendors operationally fragile. Self-hosting on ibl.ai puts the runtime inside your existing audit perimeter so the compliance work stays scoped and the cost stays proportional to the work.

Use this hub to find the architecture and the math specific to your industry. Each entry links to the segment cost-math post, the reference architecture, the staged deployment blueprint, and the comparison against the leading per-seat alternative for your sector.

Related on ibl.ai

What does ibl.ai document for enterprise AI infrastructure?

These 18 pages cover running AI as infrastructure rather than as a subscription — deployment topologies, data residency, tenancy, identity federation, observability, procurement, and the compliance posture required in regulated industries. They are written for organizations that have to answer to a security review, an auditor, or a regulator.

What changes when AI is infrastructure instead of a subscription?

The questions change from feature comparisons to operational ones: where does inference run, who holds the keys, what happens at renewal, and can the system keep running if the vendor does not. Owning the stack answers all four structurally rather than contractually — which is why these pages spend more time on deployment topology than on capabilities.

What makes the ibl.ai platform different?

ibl.ai is the agentic AI platform where you own all the code and the data. You self-host the entire stack inside your own perimeter, run it model-agnostic across any LLM and switch anytime, and pay by usage with no per-seat pricing — so you can deploy anywhere: your cloud, on-premise, GovCloud, or fully air-gapped.