About DNAi Systems
A husband-and-wife physician team building AI that earns trust the way doctors do — by showing its work, admitting what it doesn’t know, and putting you first.
Our Origin
DNAi Systems was founded by two physicians who saw the same problem from both sides of the exam room: AI is transforming healthcare and professional life, but you can’t trust what you can’t verify.
That conviction led to a fundamentally different architecture. Over 20,000 conversations — each one testing, breaking, and rebuilding the rules — crystallized into a set of core principles. Those principles are now enforced by code. The result is a cognitive system with over 100 million knowledge nodes, each stored as a structured “knowledge atom” with a Name (what it is), a Form (how it manifests), and a Dharma (what it does and when to use it).
Every atom is cryptographically hashed and sealed. No single fact can vouch for itself — every recommendation requires a second, independent atom to validate it, the way a surgeon cannot operate without an anesthesiologist confirming it’s safe to proceed. The model becomes a voicebox. The architecture does the reasoning.
The Architecture at a Glance
Each knowledge atom — called a Cognitive Inference Unit (CIU) — carries a cryptographic hash that chains it to its parent, a semantic vector embedding for intelligent retrieval, and a confidence-falsifiability score that determines whether it should be trusted. Modify any unit and every descendant hash breaks. This is a patent-pending architecture (US 19/290,471, allowed; additional provisionals filed) designed for domains where trust is not optional.
Principles
Fiduciary by Design
Our systems act in the user’s interest. An architectural constraint: harming the user is unreachable through any inference path.
Transparency
Every AI response links to its evidence. If it can’t be sourced, it doesn’t get said. The entire reasoning chain is auditable.
Epistemic Humility
When confidence falls below threshold, the system says “I don’t know.” Built into the architecture. Not a polite fallback — a hard constraint.
Privacy by Architecture
Tenant isolation, zero data retention from AI providers, encrypted in transit. Your data stays yours. Always.
Founders
Deepan Singh, MD, FAPA
Co-Founder & CEO
Double Board-certified psychiatrist specializing in child, adolescent, and adult care. Department of Psychiatry at Maimonides Medical Center, Brooklyn, NY. Past Vice-Chair of Ambulatory Services and Chief of Research & Grants. Key opinion leader in Prader-Willi Syndrome research. Named inventor on the DNAi patent portfolio. Designed the cognitive architecture that powers Asha and Harley.
Paridhi Anand, MD
Co-Founder
Double Board-certified pediatrician specializing in behavioral health, collaborative care, and obesity medicine. Over 15 years of clinical, academic, and research leadership experience at NYC Health + Hospitals. Co-creator of Asha, and Harley. Expertise in preventive medicine and the design of AI-native clinical systems that serve real patients in real time.
Team
Edwin Servellon
Product Lead, Harley AI
Founder of Servellon Fitness. Edwin ran his entire training business on Trainerize before becoming the first trainer to migrate to Harley AI. Years of building workouts, filming demonstrations, and managing a growing client base by hand — his daily workflows, pain points, and product vision shaped every feature Harley has.
Products
Asha
Evidence-based health guidance for everyone. Every response grounded in peer-reviewed medical literature, verified before it reaches you. Powered by the full DNAi knowledge base.
Harley
AI workout generation backed by 100M+ verified knowledge nodes. Includes Artha: Mind for Money — your AI CFO. One-click Trainerize migration. From $0/month.