AI data infrastructure

AI for organizations that can’t afford to get it wrong.

Answers grounded in evidence, not in AI memory.

n61 creates AI products that solve practical problems by grounding answers in evidence, preserving privacy, and keeping human judgment at the center.

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Quillian

Private by design. Powerful by default.

Privacy-preserving document intelligence for organizations that can’t send their documents to the cloud, and for those that simply choose not to.

Quillian gives you full control over your data pipeline. Run it entirely on your own infrastructure with no external calls, or connect to public data sources and optional cloud services on your terms. Either way, protected health information, personally identifiable data, confidential research, privileged legal documents, and proprietary records stay where you put them.

Built for healthcare, clinical research, public health, legal, compliance, and any environment where data confidentiality is non-negotiable.

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SynthPop

Street-level insight. Zero privacy risk.

Most population data forces a choice: real data with privacy risk, or synthetic data that doesn’t reflect reality. SynthPop does neither.

SynthPop generates synthetic individuals for any geographic area, statistically identical to the real population down to age, income, health status, household composition, and more. Analyze your target market, service area, or risk pool at street level, without touching a single real record.

Built for actuarial rate-making, market research, city planning, policy analysis, and public health.

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Products

Purpose-built systems for sensitive data work.

Alpha / early access

Quillian

Private by design. Powerful by default.

Privacy-preserving document intelligence for teams that need answers from sensitive files without moving trust boundaries.

Built for constrained, high-stakes data environments.

Alpha / early access

Quillian

Private by design. Powerful by default.

Privacy-preserving document intelligence for teams that need answers from sensitive files without moving trust boundaries.

Built for constrained, high-stakes data environments.

Coming soon

SynthPop

Street-level synthetic population data.

Synthetic population infrastructure for actuarial modeling and public health planning, designed for repeatable scenario work without exposing individuals.

Built for constrained, high-stakes data environments.

Coming soon

SynthPop

Street-level synthetic population data.

Synthetic population infrastructure for actuarial modeling and public health planning, designed for repeatable scenario work without exposing individuals.

Built for constrained, high-stakes data environments.

Trustworthy AI for important questions.

AI is increasingly used to answer important questions, yet most systems cannot distinguish evidence from inference.

n61 develops products that keep evidence at the center of AI, producing answers grounded in evidence, not AI memory.

AI is increasingly used to answer important questions, yet most systems cannot distinguish evidence from inference.

n61 develops products that keep evidence at the center of AI, producing answers grounded in evidence, not AI memory.

Our products focus on evidence synthesis and privacy-preserving synthetic population generation for regulated and data-sensitive environments.

Founded by R. David Parker, PhD, FACE, computational epidemiologist with 20+ years in applied research, $30M+ in extramural funding, and 42 peer-reviewed publications. Based in Anchorage, Alaska.

Build with n61.

Request Quillian early access or follow SynthPop as it approaches release.

hello@n61.io