Common questions about Cognetryx

Cognetryx is a private AI platform built for regulated enterprises. The platform deploys inside the institution's own network, indexes the institution's own documents and policies, and serves the AI model privately. Every answer the platform gives points back to the exact line in your own files it came from, so any answer can be checked.

Cognetryx serves customers in healthcare, financial services, legal, government and defense, and manufacturing, where the question is not whether AI is useful but whether the AI's architecture can satisfy compliance and audit. Founded by Keith Kennedy, CISSP, with nearly two decades of regulated IT and security architecture experience. Start with the longer guide if you want the full picture.

Most enterprise AI runs in a third-party cloud, which means regulated data has to leave the institution's network to get an answer. For a hospital, a bank, a law firm, or a defense contractor, that is the compliance problem hiding inside every AI pitch.

Cognetryx solves it architecturally: the model runs inside the institution's own environment, the documents stay inside, and the audit log of every query and citation stays with the institution's other regulated records. The deployment choice answers the questions an examiner will actually ask before the institution writes a policy or a validation report. See how it works.

Cognetryx is built to support the architectural requirements of the major regulations that govern data in U.S. regulated industries. These include:

HIPAA (45 CFR 160 to 164) for healthcare. The Gramm-Leach-Bliley Act and the Federal Reserve, OCC, and FDIC revised model-risk guidance (SR 26-2, April 2026) for banks. FDA QMSR / 21 CFR Part 820 and ISO 13485:2016 for medical-device manufacturers. NIST SP 800-171 Rev 2 (110 controls) and CMMC Level 2 for defense contractors handling Controlled Unclassified Information. ABA Model Rules 1.6 and 1.7 on confidentiality and conflicts for law firms.

Cognetryx does not certify a customer's compliance program. The architecture removes the data-residency and vendor-handoff problems that block compliance in cloud-only AI deployments. The longer view on each industry: healthcare, banking, legal, government, manufacturing.

It does not leave your network. Cognetryx deploys inside your environment, either on-premises or in a private cloud your team operates, indexes your documents privately, and serves the model on your infrastructure.

Prompts, answers, the source passages the model cited, and the full audit trail all sit inside the boundary your security team already protects. There is no outbound call to a third-party AI service to get an answer, which removes a category of breach exposure, vendor-oversight obligation, and data-residency risk that cloud AI cannot remove. This is the architectural difference behind every other answer on this page. Read the security model.

Cognetryx uses a fixed-cost subscription model rather than per-token cloud billing. Once the platform is deployed, query volume does not add to the price. That makes total cost predictable for institutions running AI across many users and workflows, where cloud-AI per-token pricing tends to compound faster than budgets anticipate.

Pricing scales with deployment scope and your environment. Specific pricing is provided after a short scoping conversation, because the right number depends on your data shape, user count, and infrastructure. Book a free AI Strategy Assessment to start that conversation.

Two ways.

Book a free AI Strategy Assessment to map where AI can help in your institution and what running it inside your own environment would take. The strategy assessment is the right starting point for institutions still scoping the problem.

Or request a live demo to see the platform run, with citations, on a representative document. The demo is right for institutions that already know the use case and want to see the platform answer questions from real material. Both are no-pressure.