The Problem

Most AI analytics tools send your data to the cloud.

That works fine until you're working with data you can't expose. Client files under NDA. Healthcare records. Sensitive financials. M&A diligence data.

For analysts in healthcare, finance, and consulting, cloud-based AI tools aren't an option — they're a liability. The alternative until now: export to Excel, lose scale, lose AI, lose time.

Zero

Data rows sent to the cloud. Ever.

Local

All processing runs on your hardware.

Private

AI sees metadata only — never your data.

What We Build

The JetWare AI Workbench Suite.

A family of local-first AI tools for analysts who work with sensitive data. Every product shares the same privacy architecture — AI generates instructions from metadata only. Your data never moves.

Available Now

Analytics Workbench

Local-first AI analytics for large, sensitive datasets. Import any file, get automatic insights, ask questions in plain English — without your data leaving your machine. Validated at 220 million rows. No server, no cloud, no account required.

In Development

Document Workbench

Local AI for institutional knowledge. Index your firm's prior work product — reports, memos, contracts, filings — and query it in plain English. Every answer grounded in source documents with citations. Nothing leaves the machine.

Roadmap

Research Workbench

External data sourcing for regulated industries. Fee schedules, CMS filings, regulatory databases — surfaced, normalized, and ready for analysis. Built for workflows that currently require manual data hunting.

Engineering Standards

Built to regulated-industry standards. Not vibe-coded.

The AI analytics space is filling up fast with prototypes. JetWare AI is built by a team that spent decades producing software validated by the FDA, deployed in clinical environments, and reviewed by regulatory bodies. That discipline is in the DNA of every product we ship.

2,151+ Automated Tests

Every build runs a full automated test suite — unit, integration, and end-to-end accuracy tests. Zero tolerance for regressions. Every commit is verified before it ships. AI accuracy audited against verified PE diligence baselines.

Formal Bug Tracking

Every defect is logged, triaged, and resolved with a documented fix. No informal patches. No "it works on my machine." The same rigor we applied to FDA-regulated medical device software.

Architecture Documentation

Full technical architecture documentation available for IT and legal review. Data flow diagrams, privacy architecture specifications, and plain-English security summaries written for general counsel — not just developers.

FDA Software Pedigree

Our founder built Ri.HipModeler — the world's first FDA Class II medical device using personalized biomechanics modeling. Software that goes into clinical workflows and regulatory submissions is built differently. Ours is.

Verifiable Privacy Claims

Our privacy architecture isn't marketing language — it's a documented technical specification. The claim that AI never sees your data rows is verifiable by inspection. We provide architecture documents your IT and legal teams can actually review.

Full Audit Trail

Every analytical session generates a complete, exportable log — queries run, results returned, references joined, decisions made. Designed from the ground up for environments where methodology must be reproducible and defensible.

Accuracy Certification

Every result is testable. Every release is audited.

Before every release, JetWare Workbench runs a full accuracy audit against verified PE diligence baselines. The results are published. You can run the audit yourself.

2,151

Automated tests passing

100%

Structural accuracy tests

Zero

Hallucinations detected

Privacy mode accuracy delta

What the audit confirms

Payer misclassification surfaces reliably

$10M in Medicaid MCO revenue misclassified as Commercial identified correctly in every test run — through natural language queries alone.

EBITDA gap confirmed without intervention

$2.2M gap between raw and CIM-stated adjusted EBITDA surfaces automatically — no manual reconciliation required.

Privacy Mode does not degrade accuracy

AI operating on schema and stats only — never raw data — produces zero accuracy delta vs. full-data mode.

Clean targets read clean

The system correctly distinguishes a discrepant deal from a clean one. No false positives on verified clean data.

Three AI modes tested

Cloud Mode — OpenAI GPT-4o-mini, schema-only prompts, API key encrypted at rest

Local Mode — Ollama on-machine, zero external calls, no API key required

Privacy Mode — Raw data stripped from all prompts, AI sees schema and stats only

Q2 2026 Accuracy Certification

Full methodology, test coverage, and results — updated each release. Available for technical review by IT and legal teams.

Download PDF

v1.59 series · April 2026

"The accuracy audit runs before every release. The test infrastructure is open for review. You don't have to take our word for it."

All test scenarios use fully synthetic data — no real patient, clinical, or proprietary deal information at any point. 2,151 automated tests passing as of v1.59 series, April 2026.

Who We Work With

Built for regulated industries.

We work with organizations where data privacy isn't a preference — it's a hard requirement. Early engagements are hands-on. We configure workflows, build reference libraries, and validate against your actual data environment.

Healthcare & Government

Revenue cycle, operations, and policy teams working with claims data, CMS datasets, and patient records. No BAA required with our local-execution architecture.

Private Equity & Finance

Analysts running diligence on acquisition targets. Replayable workflows mean the same methodology runs on every new engagement — one click, new target.

Legal & Consulting

Law firm analytics teams and boutique consulting firms working under attorney-client privilege or NDA. Local execution is the only architecture that satisfies privilege requirements.

Custom Engagements

Organizations with specific analytical workflows, dataset types, or compliance requirements that off-the-shelf tools don't address. We scope, design, and build to your requirements.

Who Are We

We've built regulated software before. At scale.

1983 — 2002

Foundation in safety-critical systems

Nearly two decades pioneering computational human simulation at MSC Software — developing the technical foundation for personalized human modeling and predictive medicine long before these concepts were commercially viable.

2002 — 2012

Founded LifeModeler — the global standard for biomechanics simulation

Built LifeMOD from scratch into the world's first commercially successful human biomechanics simulation platform. Scaled to 35+ medical device manufacturers and embedded in graduate programs at 150+ universities worldwide. Customers included NASA and the U.S. Army. Profitable every year since founding.

2012

Acquired by Smith & Nephew

LifeModeler was acquired by Smith & Nephew, one of the world's largest orthopedic medical device companies. The same playbook that built LifeMOD — close customers, iterate on feedback, build from real usage — is the playbook behind JetWare AI.

2012 — 2020

Senior Director, Smith & Nephew

Led development of Ri.HipModeler — the world's first FDA Class II medical device using personalized biomechanics modeling to predict optimal implant positioning. Helped establish the category now recognized as surgical intelligence.

2026

JetWare AI — same discipline, new domain

Regulated industries need AI-powered analytics built to a different standard. The architecture has to be defensible. The audit trail has to exist. The data handling has to be right by design. That's what JetWare AI is built on.

"I've spent forty years building software for environments where the data is sensitive, the stakes are high, and the wrong answer has real consequences. JetWare AI is the same discipline, applied to a new problem."

Prior exit: LifeModeler acquired by Smith & Nephew, 2012

FDA track record: World's first FDA Class II device using personalized biomechanics modeling

Scale: 35+ medical device manufacturers, 150+ universities worldwide

Domain: 40 years building computational systems for regulated industries where failure is not an option

Approach: Consulting-led, close customers, build from real usage — the same playbook that scaled LifeMOD

Get In Touch

Let's talk about your data environment.

Early engagements are hands-on. We work directly with your analysts to configure workflows, build reference libraries, and validate against your actual data. Licensing is one-time per seat — no subscriptions, no cloud dependency.