See Mithra verify a real AI workflow.
Book a demo.
Bring your kind of data. In 30 minutes, watch Mithra validate an AI output against a trusted Single Source of Truth®, with full data lineage and an audit-ready record, end to end.
56% of enterprises say lack of trust and accuracy blocks AI adoption (PwC, 2024).
30 Min · Live demo
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Embed Mithra inside your product, or partner with our SSOT® platform.
What you'll see in 30 minutes.
A working session against your kind of data, not a slideshow.
Proof, not a best guess. Mithra validates a live AI output against a trusted Single Source of Truth before it reaches a decision.
Full data lineage. See where the data came from, how it changed, and which AI outputs it touched.
An audit-ready record. Immutable, timestamped evidence aligned to HIPAA, GDPR, FDA, and the EU AI Act.
Any LLM. The same workflow across OpenAI, Claude, Gemini, Copilot, Perplexity, and Grok.
Reach the right team.
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Sales & demos
mithra@shelterzoom.com
Book a demo or talk through a use case.
Book a demo or talk through a use case.
Before you book.
Which LLMs does Mithra work with?
Mithra is LLM-agnostic and API-first. It applies the same trust layer across OpenAI, Claude, Gemini, Copilot, Perplexity, and Grok, so you are not locked into whichever model you bet on next quarter.
How long does it take to deploy?
Mithra is built to be plug-and-play. Deployment typically takes 0 to 3 engineers, compared with the dozens a legacy governance stack can require.
How does Mithra keep our data secure?
Mithra applies DRM, guardrails, and access controls at the data layer, and records provenance on a blockchain-backed Single Source of Truth®. That prevents proprietary data reaching ungoverned models and keeps a defensible record of every AI output.
Is Mithra built for regulated industries?
Yes. Evidence is captured immutably and timestamped, aligned to HIPAA, GDPR, FDA, and the EU AI Act, with deep work in healthcare and life sciences, financial services, government, and other regulated verticals.
What's the difference between traceability and data lineage?
Traceability is a property of a single output: can you point to the sources that produced this answer. Data lineage is the system-wide record of where data originated, how it changed, who touched it, and which AI outputs consumed it. Lineage is what makes traceability possible at scale.