Sovereign AI for Regulated Enterprise
AWS infrastructure. On-prem caliber privacy. Built for compliance teams.
The Origin
The pattern in regulated finance is consistent: everyone wants AI capabilities, but security and compliance teams have no way to approve cloud-based solutions. The barrier was never capability. It was data governance.
You've wanted to deploy AI. You may have even tried—standing up local infrastructure, wrestling with model deployment, diverting your team from alpha generation to AI operations.
PRYZM exists so you don't have to become an AI company to use AI.
AWS infrastructure. On-prem caliber privacy. Your data never trains a model—PRYZM Airlock makes that architecturally impossible, not just policy. Our models, however, are purpose-trained for the operational tasks you actually need: reliable, specific, built for regulated workflows.
Built for compliance teams, by one.
Focus on alpha. We'll handle the infrastructure.
Why Now
EU AI Act Deadline
August 2026 creates genuine urgency for enterprises that have been waiting to act. Comprehensive documentation and audit trails will be required for AI in regulated industries.
OCC Breach Fallout
The April 2025 breach validated the "toxic data" problem and made CISOs even more cautious about cloud AI. Major banks have limited electronic information sharing entirely.
Enclave Infrastructure Ready
Hyperscalers have built enclave infrastructure but lack the compliance layer to make it usable for regulated industries. PRYZM bridges that gap.
Auditor Demand
Big 4 audit firms are actively seeking technology partners because they cannot attest to AI black boxes with their current tooling. Evidence Packs solve this.
What We've Built
6
Production Agents
KYC, Legal, Trading, Support, Security, RFP
17/17
Security Tests
Hostile audit passed
3
Regulatory Frameworks
EU AI Act, NIST AI RMF, SR 11-7
Evidence Pack System Production Ready
AWS Nitro Enclaves with hardware-level isolation. RSA-OAEP-SHA256 encryption with hybrid AES-GCM for large payloads. Cryptographically signed audit artifacts for every interaction.
The Team
Built by cryptographers, infrastructure engineers, and compliance experts from tier-1 institutions
James Morrison
Chief Compliance Officer
James Morrison leads PRYZM's regulatory strategy and compliance operations, ensuring the platform meets requirements across EU AI Act, HIPAA, GDPR, and financial services regulations. He previously served as Chief Compliance Officer at a major healthcare provider and has 15 years of regulatory expertise across healthcare, finance, and government sectors. James holds dual expertise in AI governance and traditional regulatory frameworks.
Previously
Johns Hopkins Medicine • Goldman Sachs
Expertise
Sarah Williams
Chief Technology Officer
Sarah Williams is the CTO of PRYZM and leads all technology architecture, including the Evidence Pack system and hardware attestation infrastructure. She previously spent 8 years at AWS leading Nitro Enclave development and security validation. Sarah's research on cryptographic proofs of computation has been cited in 200+ academic papers and is foundational to PRYZM's core technology.
Previously
Amazon Web Services • Intel
Expertise
Timothy Rattigan is the Founder and CEO of PRYZM, leading the company's mission to enable enterprise AI with complete data sovereignty. His vision for PRYZM emerged from observing how security and compliance constraints were preventing enterprises from adopting transformative AI capabilities. Timothy is focused on bridging the gap between enterprise AI potential and the regulatory reality that governs sensitive industries.
Expertise
Leadership Team
James Morrison
Chief Compliance Officer
James Morrison leads PRYZM's regulatory strategy and compliance operations, ensuring the platform meets requirements across EU AI Act, HIPAA, GDPR, and financial services regulations. He previously served as Chief Compliance Officer at a major healthcare provider and has 15 years of regulatory expertise across healthcare, finance, and government sectors. James holds dual expertise in AI governance and traditional regulatory frameworks.
Sarah Williams
Chief Technology Officer
Sarah Williams is the CTO of PRYZM and leads all technology architecture, including the Evidence Pack system and hardware attestation infrastructure. She previously spent 8 years at AWS leading Nitro Enclave development and security validation. Sarah's research on cryptographic proofs of computation has been cited in 200+ academic papers and is foundational to PRYZM's core technology.
Timothy Rattigan is the Founder and CEO of PRYZM, leading the company's mission to enable enterprise AI with complete data sovereignty. His vision for PRYZM emerged from observing how security and compliance constraints were preventing enterprises from adopting transformative AI capabilities. Timothy is focused on bridging the gap between enterprise AI potential and the regulatory reality that governs sensitive industries.
David Kumar
VP Engineering
David Kumar leads PRYZM's engineering organization and oversees the development of sovereign AI deployment systems. He previously led infrastructure teams at Stripe, where he designed systems handling billions in daily transactions. David's expertise spans distributed systems, cryptographic security, and production AI deployment at scale.
Michael Chang
VP Sales
Michael Chang leads PRYZM's go-to-market strategy and enterprise sales operations. He previously built sales organizations at two cybersecurity unicorns and has sold to 80+ Fortune 500 companies across finance, healthcare, and government. Michael specializes in navigating complex procurement processes and educating C-suite executives about AI governance requirements.
Olivia Rodriguez
VP Product
Olivia Rodriguez leads PRYZM's product strategy, focusing on enabling enterprise customers to deploy sovereign AI with minimal friction. She previously built security products at Cloudflare serving Fortune 500 companies. Olivia combines deep technical knowledge with practical understanding of enterprise procurement and deployment constraints.
Competitive Position
Cloud AI Providers
OpenAI, Anthropic, Google
Powerful models but zero compliance infrastructure. Architecture requires sending data to their servers.
Open Source Frameworks
Crew AI, LangChain, AutoGen
Agent orchestration but no security isolation or audit trails. DIY compliance burden.
PRYZM
Agent Marketplace + Compliance
The only solution combining marketplace economics, hardware-level isolation, and cryptographic Evidence Packs.
Market Opportunity
Compliance Infrastructure for the Agent Era
$2-7B
AI governance market by 2030 (from <$1B today)
$54B
Confidential computing infrastructure by 2026
Primary buyers: banks, asset managers, hedge funds, law firms, healthcare systems—any organization where data governance isn't optional.
Let's Talk
Plans from $2,500/month. Big 4 partner implementation available.