Applied AI for regulated healthcare work

Healthcare's most expensive work still runs on copy, paste and wait.
We rebuilt it as one accountable layer.

We enable you to make — and implement — your high-quality decisions. Good AI builds the operating layer for the workflows regulated healthcare cannot afford to get wrong: protocol to eCRF, claim to cash, instrument to insight. Data stays where it lives, and every AI decision arrives with its evidence and a named human approver.

Decades inside pharma, providers & CROsThree platforms — Proto AI · RCM AI · BioLensForward-deployed engineers, inside your workflow

One pattern, applied to hypothesis to protocol

Book a consultationSee the three platforms →
Collaboration heritage across global life sciences
AbbVieAmgenRocheSyngeneAlconAltasciences

Our team has worked alongside these organisations in previous roles. They are not current clients — the experience is what shaped how we build.

95%
shorter protocol-to-eCRF cycle
Proto AI
88%
better data quality through automated validation
Proto Validate
700
providers on the revenue-cycle workflow
CrystalVoxx network
45%
less manual workload on data teams
Proto AI
1 wk
from kickoff to a working proof of concept
First build
Proto AI cut our protocol design cycle from 12 weeks to 5 weeks. That's not just time — that's money. We're looking at $800K savings this year alone.
VP, Clinical OperationsCRO · North America — 50% faster time-to-first-trial · $800K saved
“Compliance used to be a nightmare — manual checks, constant back-and-forths. Proto AI's automation gave us confidence and peace of mind. Zero FDA observations this year.”
Sponsor Pharma · Europe
Zero compliance incidents · 60% less QA time
“Patient recruitment was our biggest bottleneck. Proto AI's stratification engine identified 45% more eligible patients. We hit enrollment targets 8 weeks ahead of schedule.”
CRO · APAC
45% more eligible patients · $1.2M saved
Our services

How can we help?

From strategy through execution: three integrated practices, one team accountable for measurable outcomes across your AI transformation agenda.

01
AI Strategy & Transformation
Enterprise AI diagnostics, value-case prioritization and board-ready transformation roadmaps — every recommendation landing with an owner, a timeline and an ROI model.
Leakage assessmentValue caseSequenced roadmap
02
Risk, Regulatory & Responsible AI
Operating models, build-vs-buy counsel and controls aligned to HIPAA, GDPR and FDA 21 CFR Part 11 — so innovation ships with audit-grade integrity and stakeholder trust.
Approval gatesAudit trailsPart 11 review
03
Consulting & Managed Delivery
Multidisciplinary teams embedded with yours to stand up a first production use case in 8–12 weeks — and platforms like Proto AI where the strategy calls for them.
Forward-deployedShadow validationLive in 8–12 weeks
From molecule to market
Every engagement underwritten by measurable outcomes
The path to value
Hover a stage · day 0 → day 90+
Day 0
Week 2
Week 4
Week 8–12
Day 90+
STAGE 01 · Diagnose8 hours, free
We sit with your team and find where the work actually leaks — the denial queue, the protocol backlog, the instrument downtime.
Workflow mapLeakage hypothesesFeasibility read
You leave with
A written readout of where value is leaking and which of it is addressable now — yours to keep whether or not we work together.
Your effort
3 people, one day
The operating loop

Transformation isn't a deck you receive. It's a loop you run.

One outcome per loop, value banked every 8–12 weeks — and each loop compounds the last.

01
Pick the outcome
Faster startup, fewer amendments, a shipped use case — one measurable goal per loop, chosen with your board.
02
Run the roadmap
Every workstream lands with an owner, a timeline and an ROI model — governed to HIPAA, GDPR and FDA standards as it ships.
03
Compound
Bank the value, pick the next outcome. Each loop widens your lead — from one use case to an enterprise program.
What we ship

Three platforms. One operating pattern.

Each one starts in the same place: a workflow that costs too much, moves too slowly and cannot show its work. Pick the one that sounds like your week.

Explore Proto AI →
The work today
A 300-page protocol takes weeks of specialist reading before anyone has structured, usable data.
CDASH and SDTM mapping is manual and error-prone — and the people who can do it are the people you cannot hire.
Audit traceability gets reconstructed after the fact, out of inboxes and spreadsheets.
With Proto AI
Protocol Authoring drafts the study from an evidence-grounded blueprint; Proto Parse reads it, and Proto View links every value back to its source page.
Proto Forms writes the standards-compliant eCRF spec — annotated Excel, JSON or ODM-XML your EDC ingests directly.
Proto Validate checks live data against protocol-defined rules; Proto Assist answers questions with page citations.
95%
shorter protocol-to-eCRF design cycle
Proto AI
88%
improvement in data quality
Automated validation
45%
less manual workload
Predictive automation
25%
profitability improvement for CROs
Operational efficiency
How the work gets done

AI does the lifting. A person signs the outcome.

The same five steps run inside every platform we ship. It is what lets a regulated team adopt AI without betting the audit on it. Step through them.

The work arrives exactly as it already does.
A 300-page protocol PDF, an 835 denial file from the clearinghouse, a night of instrument runs. Nothing is re-keyed and nothing is migrated — your systems of record keep holding the source data.
Accountable
Your existing systems
Evidence it leaves
The untouched source document, versioned on arrival
Ask Good AI

Have a question? Ask it your way

Whether you run a CRO, sponsor trials, or are simply curious about AI in medicine — pick your seat and ask. Our agent answers in your language, at your level.

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Good AI Search CircleBETA · SIMULATED
Hi — I'm the Good AI agent. Pick a seat on the left, then tap a question below. I'll answer the way that seat needs to hear it.
Try asking
Sector focus

We're not for every industry.

Healthcare and life sciences, exclusively. If your challenge lives elsewhere, we're the wrong firm — by design. Depth is the deliverable.

Industry 01
Healthcare
Generative AI that optimizes clinical workflows and decision-making — personalized patient care, delivered faster and ethically.
Clinical workflow AIDecision supportPatient personalization
Explore →
Industry 02
Life Sciences
Predictive analytics across drug discovery and clinical trials — shorter timelines, sharper precision medicine.
Drug discoveryClinical trialsBiomarker AI
Explore →
Multi-generational by design

Who do we serve?

From boardrooms to bedsides — use the A / A+ control in the header to set your reading comfort. It stays with you across the site.
FOR EXECUTIVES
Board-level clarity
Portfolio-level oversight of AI initiatives, with measurable outcomes and audit-grade traceability.
FOR CLINICAL TEAMS
Predictable execution
Realistic feasibility, fewer amendments and timelines that hold — operational risk managed before it materializes.
FOR RESEARCHERS
Defensible science
NLP and biomarker platforms built on modern foundations and validated against real clinical data.
FOR PATIENTS & FAMILIES
Trust by design
Human-first AI that explains itself, meets the strictest privacy standards and keeps people in charge.
Engagement models

The first step costs nothing

Every engagement opens with a complimentary AI health check. Where it goes next is sized to your stage:

8–12 WEEKSFixed-Cost ImplementationFirst production use case on predictable pricing→6–12 MONTHSCost-Plus ProgramTen use cases across departments, transparent pricing→6+ MONTHSCo-Innovation PartnershipProprietary AI products, cost-based engineering→
Jumpstart
COMPLIMENTARY
$08-hour AI health check
Readiness diagnostic across data, workflows and governance
Prioritized value map with ROI ranges per use case
Board-ready readout you keep, whatever you decide
Zero cost, zero obligation
Claim your health check
Alliances

Who are our alliance partners?

Google logo
Google
MedLLM innovations
Microsoft logo
Microsoft
Certified · Azure Marketplace
AWS logo
AWS
AI infrastructure
OpenAI logo
OpenAI
Frontier models
Microsoft Azure logo
Microsoft Azure
Clinical workloads
Trusted AI search
Trusted AI search
Insights

Our latest thinking

All insights →
Molecule
Case study
Personalized Medicine & Disease Progression Monitoring
Read →
Signal
Research
AI for Biomarker Discovery and Detection
Read →
Market
Perspective
How AI is Transforming Healthcare
Read →
Quick answers

Frequently asked questions

Operating layers for the parts of healthcare that still run on manual work: Proto AI for clinical data management, our RCM platform for revenue cycle operations, and BioLens for diagnostics fleets. Your systems of record stay where they are — the work moves into one accountable place.
The platform for the whole protocol lifecycle. Protocol Authoring drafts SPIRIT- and ICH-GCP-aligned protocols from an evidence-grounded blueprint; Proto Parse reads them, Proto View traces every value to its source page, Proto Forms generates CDASH/SDTM-compliant eCRF specs, Proto Validate runs live data checks and Proto Assist answers with citations. Up to 95% shorter design cycles and an 88% improvement in data quality.
Denials first, then prior authorisation. The platform detects the root cause, grounds it in payer policy, drafts the appeal, routes it to a named approver and tracks the outcome — as an overlay on Epic and your clearinghouse rather than a replacement for either.
An intelligence layer over a diagnostics instrument fleet. It predicts failures and QC excursions before they happen, forecasts reagent demand by expiry, guides field service from symptom to root cause, and answers plain-English questions across instruments, runs, lots and sites.
Five steps, every time: input, grounding, draft, human review, e-signed output. Around them: role-based access, encryption in transit and at rest, masking, audit logging, named approvers, and shadow validation before go-live — with HIPAA, GDPR, FDA 21 CFR Part 11, ISO 27001 and SOC 2 Type II as the control set.
With the smallest useful thing. A complimentary 8-hour AI health check, or a two-week leakage assessment on your own data that answers one question: where is value leaking, and how much of it is actionable. A first production workflow follows in 8–12 weeks.

Ready to turn AI ambition into enterprise value?

Book a consultation, or start with our complimentary 8-hour AI health check. Zero cost, zero obligation.

Book a consultationFree AI health check