Independent research · Agentic AI · Regulated industries

Agentic AI for the places where the rules are real.

MAX Research Collective researches and builds AI for healthcare and other regulated industries: run where its owner has control, keeping the data in, and leaving every decision that matters to a person. What we learn building it is published here.

Regulated, audited & security-first

Built where the rules are real

Security & compliance →

Local-first by default — MAX3, REEF, and FeedHacker keep data on your own hardware, so there's no third-party egress of PII/PHI, the smallest possible breach surface, and a clean data-residency story. Automation stays approval-gated, reversible, and audited.

The other half of “where the rules are real” is the half that lands in the financial statements. Which engineering hours capitalise and which expense; what a useful life does to a depreciation schedule; what §174A changed about the cost of outsourcing; whether an AI budget is one line or three. These are audited too, and the evidence is your ticket history. Career & leadership writing →

HIPAA PCI-DSS GDPR NIST CSF 2.0 EU AI Act SOC 2 ISO 27001 HL7 / FHIR Zero-Trust Local-First / Data Residency Auditable & Reversible
ASC 350-40 ASU 2025-06 IRC §174A US GAAP CapEx vs OpEx MACRS / Useful Life EBITDA FinOps Audit Evidence

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Track record

Delivery in high-stakes systems

$3.1B
multi-brand health plan modernized
~50%
operational efficiency gain from system unification
200%
platform performance lift (~$240K/yr saved)
10×
scale delivered at a Series A–C EHR/RCM startup

Latest

From the research, field notes & experience

All research →
Article●Software Delivery & Engineering Practice

Agile and Iterative Development: A Slice Through Every Layer

Agents write a slice in minutes. The slow part was always deciding whether it works and whether anyone wanted it, and that part is still yours.

Cloud / DevOpsSoftware Delivery & Engineering Practice
White paper●MAX4, Trust & Clinical AI

MAX4 and MARA: The Ladder Starts at Off

Every skill MAX4 learns starts switched off and earns the right to act, one held-out test at a time. That ladder is the bar MARA will be held to.

MAX3MAX4, Trust & Clinical AI

Build log

Selected projects

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Active●Local-first AI

MAX3

Modular Algorithmic eXecutor (MAX): a local-first, voice-first AI resident built as a single Python process — a DuckDB graph spine for memory, a Forward-Forward learner that predicts, proves and adjusts, and a voice loop to talk to MAX. The collective's flagship.

PythonVoice-firstFlagship
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Design demo●Healthcare AI

MARA

Medical Agentic Resident Assistant (MARA): MAX pointed at healthcare. One ankle injury touches fifteen people in a dozen systems; MARA carries the record, coverage and history across every one of them, recommends to each person in the chain, and learns from what actually happened afterwards. MARA never signs: a person makes every decision.

Knowledge graphHuman-in-the-loopInteractive demo
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Active●Network Security

REEF

A local-first network-visibility and gateway-defense tool — a named fleet of sensors fused into one high-confidence card that sees it, explains it in plain language, and acts only on your approval.

PythonOPNsenseSelf-Defending
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Founder

About the founder

Full story →

Jason Newell leads organizations and people in technology, and is a researcher, a deep technologist and a builder. He started as a software developer on a CRAY and has gone where the technology is ever since — networks, data, cloud, and now AI. He founded MAX Research Collective to build agentic AI for regulated industries that runs where its owner has control, with healthcare as its strongest focus: MARA, on the MAX3 core.

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