The Life Sciences & Healthcare Execution Partner

You shouldn't need five vendors
to ship one regulated product.

Mid-market MedTech and HealthTech teams stitch together a strategy firm, an analytics firm, an engineering shop, a global SI, and an AI boutique. We're the integrated alternative — one team, one SOW, one outcome.

3
Practices — MedTech, HealthTech, Pharma-adjacent
4
Productized accelerators with IP
75+
Services across the value chain
Industry practices

Three industries. Shared DNA.

Regulated engineering and value-chain execution are the constants. The conversation changes by industry.

MedTech Lead practice

MedTech

Device makers navigating regulated software at enterprise scale.

Where evidence, velocity, and FDA pathways all have to matter at once. Our deepest practice — built around the MedTech value chain.

47 FDA medical device Warning Letters in FY2024 — a 96% increase year-over-year. FDA / Emergo by UL
HealthTech Lead practice

HealthTech

Founders and platform teams turning product into platform.

Where the board wants speed and procurement wants audits. We ship the regulated engineering that makes both possible — at venture-backed pace.

Healthcare breach cost averaged $7.42M in 2025; one platform incident cost a single payer $3.09B. Ponemon Institute, 2025
SOC 2 and HITRUST are now table-stakes in healthcare-VC due diligence — not bonus criteria. IntuitionLabs, 2025
Pharma Adjacent

Pharma

Clinical, regulatory, and commercial teams moving from pilot to production.

Where GxP discipline meets GenAI velocity. Adjacent to our MedTech depth — we show up where regulated engineering and commercial analytics overlap with pharma.

The thesis

Life Sciences and Healthcare CXOs are forced to stitch together five fragmented vendors to ship one software-defined product.

A strategy firm for the deck. An analytics firm for the data. An engineering vendor for the code. A global SI for the scale. A boutique for the AI. Five SOWs, five project managers, five failure modes — and a CXO left to integrate all of it while the FDA clock, the board clock, or the audit clock runs down.

Inveris Digital is the integrated alternative: strategy, productized IP, and regulated engineering under one team, one SOW, one outcome. Top-tier strategic framing without the top-tier invoice. Specialist-grade engineering without the hours-for-dollars bill. Built for the mid-market and for venture-backed HealthTech — not bolted on.


The friction

Why the status quo breaks across Life Sciences & Healthcare.

01

Strategy firms leave before the code

The big strategy shops deliver world-class blueprints, then fly out. The execution gap becomes your problem.

Only 8% of S/4HANA migrations finish on schedule. 30% blow through budget. Horváth study, 2025
02

Analytics firms are built for sales reps

The life-sciences analytics specialists built their muscle on pharma commercial teams — not device telemetry, not healthcare SaaS infrastructure.

Top-tier consulting rates are rising 30–50% when clients face hard regulatory deadlines. The Silicon Partners, 2026
03

Specialized engineers sell hours, not assets

Healthcare engineering shops have the skills — and the body-shop economics to match. You fund their learning curve, they keep the IP.

04

Global SIs optimize for scale, not velocity

The big SIs take six months on discovery. Your 510(k) submission, your Series B diligence, your enterprise RFP won't wait.

The result — CXOs stitch five vendors together and accept the scars. There is no single integrated option. Until now.



Start here

Pick one stage. Pick one accelerator.
Ship a pilot.

Every engagement begins with a fixed-fee productized pilot — scoped to one CXO's most acute 2026 pain. No T&M. No six-month discovery. Land → Prove → Expand.

How we engage

From 510(k) submission to Series B audit —
we ship the work that moves your clock.

Every engagement is a fixed-fee pilot, scoped to one pain point. Filter by industry below, then jump to the part of your business that's stuck. We've done the work. We know what it takes.


Show me work for
01
R&D

R&D and Product Engineering

Ship your next SaMD submission-ready — in 10 weeks, not 10 months.

Our flagship engagement
SaMD Engineering Launchpad
Agent-assisted requirements, Design-as-Code for SBOM-ready builds, submission-ready documentation pack.
What you should expect
  • Time-to-submission compression (30–50%)
  • Submission-ready artifact completeness
  • Defect escape rate reduction
  • V&V throughput per sprint
Talk to us about R&D
What else we do here
  • SaMD Engineering Launchpad
  • Embedded & Firmware Engineering
  • Connected Device Architecture (IoMT)
  • Human Factors & UX Engineering
  • Digital Twin & Simulation
  • Cybersecurity & SBOM
  • AI/ML Model Engineering
  • V&V Automation
  • Cloud-Native Platform Engineering
  • FHIR & HL7 Interoperability
  • Product Definition & Architecture
  • Legacy Product Modernization
  • MVP-to-Series-B Engineering
  • SOC 2 & HIPAA Audit Readiness
  • Multi-Tenant Architecture

In-house teams are strong at hardware-era SDLC. Regulated software under FDA pressure, with AI-enabled features and SBOM requirements, exceeds what most R&D groups were built to deliver.

02
CRQ

Clinical, Regulatory and Quality

Survive the QMSR transition. Industrialize the evidence factory.

Our flagship engagement
Regulated Evidence Factory
Automated QMS integration, traceable test automation, GenAI-assisted regulatory submissions, audit-ready reporting.
What you should expect
  • Regression test time reduction
  • Coverage improvement on regulated builds
  • Audit finding reduction
  • Submission timeline compression
Talk to us about CRQ
What else we do here
  • Regulated Evidence Factory
  • QMSR Transition Services
  • PCCP & AI/ML Device Pathway
  • Automated QMS Implementation
  • Decentralized Clinical Trials (DCT)
  • Regulatory Submission Support
  • V&V AI Automation Factory
  • Clinical Data Management
  • Pharmacovigilance & MDR
  • Post-Market Surveillance
  • Regulatory Intelligence
  • SOC 2 / HIPAA / HITRUST Program
  • Enterprise Security Questionnaire Automation

The Feb 2026 QMSR deadline compresses a procedure library re-mapping into a 60-day window. PCCP frameworks, decentralized trials, and GenAI-enabled submissions are all moving at once.

03
Mfg

Manufacturing and Scale-Up

Turn your loaner fleet and CMO network into a live operating system.

Our flagship engagement
Smart Factory & Supply Chain Control Tower
IoT telemetry, predictive scheduling, edge-to-cloud pipelines, unified oversight across plants and CMOs.
What you should expect
  • Loaner kit utilization lift (+15 pts)
  • On-time-in-full delivery
  • CMO quality incident reduction
  • Working capital release
Talk to us about Mfg
What else we do here
  • Smart Factory & Control Tower
  • MES / SCADA / Historian Deployment
  • Industry 4.0 Strategy & Roadmap
  • Loaner Kit & Inventory Optimization
  • CMO/CDMO Management Platform
  • Predictive Maintenance & Quality
  • Serialization, UDI & Track-and-Trace
  • Sterilization Strategy
  • Digital Batch Record & GxP
  • AR/VR for Training & Operations

Industry 4.0 stalls at pilot stage. Loaner kit utilization runs below 40%. CMO/CDMO oversight is manual. The data exists — the control tower doesn't.

04
Commercial

Commercial and Customer Engagement

Connect device telemetry to Salesforce — in weeks.

Our flagship engagement
Salesforce + Agentforce Commercial Transformation
Visit management with AI pre-call planning, prior auth intelligent extraction, unified patient/HCP 360° console.
What you should expect
  • Prior auth denial reduction
  • HCP engagement conversion lift
  • Field truck-roll reduction
  • Rep productivity (calls/day, admin hours)
Talk to us about Commercial
What else we do here
  • Salesforce + Agentforce Transformation
  • Health Cloud / Sales Cloud Implementation
  • Pricing & Contracting Analytics
  • HCP Segmentation & Targeting
  • Omnichannel Marketing
  • Prior Authorization Automation
  • Patient Services & Contact Center
  • Field Service Lightning
  • Launch Analytics & Planning
  • Incentive Compensation Management
  • Value-Based Contracting Support
  • B2B SaaS GTM Stack Engineering
  • Customer Success Platform

Agentforce and Salesforce investments sit underleveraged. Prior auth denials erode margin. Reps lose a third of their day to admin. Field service stays reactive.

05
Post-Market

Post-Market and Patient Engagement

One integration layer for your entire connected device portfolio.

Our flagship engagement
Remote Device Management with AI
Secure connectivity, metadata pipelines, AIOps for device fleets, OTA upgrade platform.
What you should expect
  • Connectivity uptime and OTA success rate
  • RPM cohort growth rate
  • Patient adherence lift
  • Complaint resolution time
Talk to us about Post-Market
What else we do here
  • Remote Device Management with AI
  • Remote Patient Monitoring (RPM) Platforms
  • Real-World Evidence Generation
  • Patient Support Programs
  • Digital Therapeutics (DTx) Engineering
  • Complaint & MDR Reporting Automation
  • Field Service with AR
  • Wearables Integration
  • Connected Drug-Delivery Integration
  • OTA Upgrade Platform
  • Adverse Event Intake & Triage
  • RPM Reimbursement Workflow
  • Payer & EHR Integration Hub

Five connectivity vendors for five product lines. RWE generation for label expansion stalling. RPM cohorts that don't scale. Service cost-to-serve rising faster than revenue.

06
Data & AI

Data, AI and Legacy Modernization

Stop depending on the one engineer who knows the legacy system.

Our flagship engagement
IRIS SME
AI subject-matter expert for legacy applications. Code, docs, workflows, business rules — on call 24/7.
What you should expect
  • SME response time improvement
  • New-engineer onboarding time reduction
  • Legacy incident MTTR
  • AI initiative time-to-production
Talk to us about Data & AI
What else we do here
  • IRIS SME
  • Legacy Application Modernization
  • Enterprise Data Lake / Lakehouse
  • AI Governance & PCCP Readiness
  • GenAI Platform Engineering
  • Cloud Migration & FinOps
  • Cybersecurity & Zero Trust
  • Master Data Management
  • Data Mesh / Data Product Engineering
  • Interoperability & FHIR Services
  • ML Platform for Healthcare SaaS

Single-SME dependencies on critical legacy apps. AI governance and PCCP readiness uneven. Data fragmented across clinical and commercial silos.


One SOW. Fixed fee. Published KPIs.

Four to ten weeks from kickoff to outcome. No time-and-materials, no six-month discovery phase, no army of vendors to coordinate. You sign one agreement; we deliver the work.

Products

Four productized accelerators.
One, we sell as a standalone product.

Three of our accelerators — SaMD Engineering Launchpad, Regulated Evidence Factory, and Remote Device Management — are engagement frameworks. They ship inside client work across MedTech, HealthTech, and pharma. The fourth, IRIS SME, stands on its own — as a product you can license.


IRIS SME

The AI subject-matter expert that never retires.

Every regulated enterprise has them: the two or three engineers who alone understand the critical legacy system. The QMS, the MES, the clinical data platform, the billing engine, the healthcare SaaS backend. When they leave, the organization loses years of context — and takes months to rebuild it.

IRIS SME learns the system. The code. The docs. The workflows. The undocumented business rules. Then it makes that expertise queryable, 24/7, by anyone on your team. New engineers onboard in days. Modernization stops feeling like defusing a bomb.

01

Learns your legacy

Ingests code, documentation, runbooks, workflow diagrams, business rules. Builds a structured model of how the system actually behaves — not how the docs say it does.

02

Answers like a senior engineer

Natural-language queries across the entire system. Traceable answers with citations back to source. No hallucinated APIs, no invented business logic.

03

Onboards new engineers

New team members ramp in days instead of quarters. Ask IRIS what a module does, why, who uses it, and what breaks when it changes.

04

De-risks modernization

Before you refactor a 15-year-old module, IRIS tells you every downstream dependency, every integration, every business rule buried in the code.

05

Scales across your stack

Deploys across mainframes, legacy enterprise apps, custom-built regulated platforms. One AI foundation, many system experts.

06

Stays under your control

Private deployment options. Your code and docs never leave your environment. Enterprise audit trails and role-based access.

Outcomes we move

Measurable, defensible, auditable.

Days
new-engineer ramp time, not quarters
24/7
SME availability without single-person dependency
>90%
documentation coverage on systems IRIS has ingested
Full
traceability — every answer cites the source

See IRIS SME in action.

The IRIS product experience lives on its own site. Request a demo or read the technical overview.


Our other productized accelerators

Engagement frameworks, not standalone products — and that's the point.

These three ship inside client work, scoped as fixed-fee pilots with published KPIs. They're how we compress six-month consulting engagements into six-week outcomes — across every practice.

01 MedTech

SaMD Engineering Launchpad

Agent-assisted product requirements, Design-as-Code for SBOM-ready builds, submission-ready documentation pack aligned to IEC 62304, ISO 13485, ISO 14971.

02 MedTech • HealthTech • Pharma

Regulated Evidence Factory

Automated QMS integration with ISO 13485:2016, traceable test automation, GenAI-assisted regulatory submissions. Applies across every practice where evidence matters.

03 MedTech • HealthTech

Remote Device Management with AI

Secure connectivity (gateway/API/identity), metadata pipelines, AIOps for device fleets, OTA upgrade platform with regulated change control.

IRIS SME — Product deep dive

Your most critical legacy system is understood by two people.
They will leave.

The QMS. The MES. The rebate engine. The clinical data platform. The billing engine. Every regulated enterprise has a system whose business logic lives in code that two or three engineers wrote a decade ago — and in their heads. IRIS captures that logic before it walks out the door, and turns it into a queryable expert your whole team can use, 24/7.

6 wks
From deploy to live SME agent — fixed scope, fixed fee
$50–100K
Pilot investment range — vs $2M–$10M consulting equivalents
In your cloud
AWS / Azure / GCP — no source code or data leaves your boundary

The knowledge cliff

Three problems compounding into one.

Tribal knowledge is leaving. The systems built on top of it are now subject to harder regulatory scrutiny than ever. And the people who could help you understand them are quoting consulting fees that no longer make economic sense.

01

The retiring guru

Two or three engineers understand your most critical system end-to-end. The original architects from 15–20 years ago are typically gone. Current maintainers understand their slice, not the whole. Onboarding their replacement takes 12–18 months — if you can hire someone with both the domain and the legacy stack.

02

The black-box ERP

Decades of custom ABAP, PL/SQL, stored procedures, and configuration overrides encode the actual rules running your business. Documentation, where it exists, reflects the original design — not 15 years of edits. Modernization stalls because nobody can answer "what does the current system actually do?"

03

Acquired and orphaned

Every M&A leaves you with an inherited codebase, departing SMEs from the acquired team, and integration timelines that slip because legacy logic can’t be documented fast enough. The FDA now explicitly scrutinizes acquired product portfolios. Ownership transfer doesn’t transfer responsibility away.


Where IRIS earns its keep

Four pilot tracks. Six to eight weeks each.

Every IRIS engagement begins as a productized pilot — scoped to a single critical system, with a fixed fee and a published deliverable. Pick the track that matches your most acute 2026 pain. Land → Prove → Expand.

TRACK 01 $50K–$100K · 6–8 weeks

Rebate Logic Rescue

VP Finance / CFO / VP Revenue Operations

For MedTech and pharma companies whose government pricing, Medicaid rebate, and GPO/IDN contract logic is locked in custom calculation engines. False Claims Act exposure, CMS misclassification penalties, and rebate restatements are all downstream of one pricing analyst's head. IRIS makes the entire engine auditable.

Deliverable

Complete specification of every pricing formula, contract tier rule, AMP/Best-Price calculation, and government reporting logic. Validated by senior pricing analyst. At least 3 undocumented calculation rules surfaced.

TRACK 02 $50K–$100K · 6–8 weeks

ERP Migration Accelerator

CIO / VP Engineering / VP Digital

For organizations facing SAP ECC-to-S/4HANA, Oracle migration, or major ERP modernization. The discovery phase typically reveals 50,000+ lines of undocumented custom ABAP or PL/SQL — and a $5M consulting quote for documentation. IRIS replaces the consulting quote with weeks of structured ingestion.

Deliverable

Migration-ready business specifications for one ERP module’s custom code, with retire / replicate / rewrite recommendations. Functional analysts validate. Migration team confirms usability.

TRACK 03 $50K–$100K · 6–8 weeks

Quality System Intelligence

VP Quality & Regulatory Affairs

For MedTech companies preparing for QMSR, EU MDR transition, or remediating an FDA 483. The gap between documented SOPs and what the QMS actually does is exactly what an FDA investigator finds first. IRIS surfaces the gap before they do.

Deliverable

Gap analysis between documented procedures and actual CAPA / deviation routing logic. IRIS SME agent trained on the QMS module. New quality team member uses IRIS to answer system questions in week one.

TRACK 04 $50K–$100K · 6–8 weeks

Legacy Device Documentation

VP Engineering / VP R&D

For device platforms with cybersecurity audit pressure under Section 524B, SBOM mandates, or post-acquisition documentation gaps. IRIS reads the embedded codebase, generates IEC 62304-aligned documentation, and produces a defensible software architecture record.

Deliverable

Software architecture documentation, safety-critical logic maps, SBOM-ready component inventory. Firmware team validates 80%+ accuracy. Cybersecurity architecture overview ready for regulatory submission.


How IRIS works

Four steps. In your cloud, on your code.

Every pilot follows the same four-step pattern. The product is identical across tracks; what changes is the system being ingested, the SMEs being interviewed, and the artifact being produced.

01 INGEST

Code & documentation

IRIS reads the full codebase — ABAP, PL/SQL, C++, Java, Python, COBOL — alongside Confluence, SharePoint, SOPs, and runbooks. Builds a structured model of how the system actually behaves, not how the docs say it does.

02 LEARN

SMEs teach once

Three to four sessions with senior engineers and domain experts. IRIS captures the “why” — payer-specific customizations, historical workarounds, regulatory interpretations, architectural decisions. Persistent memory, not session-bound.

03 VALIDATE

Specs & approval

IRIS generates business specifications. SMEs review and approve in a structured workflow with AI-assisted editing. Outputs are auditable, citation-backed, and traceable to source code or the conversation that produced them.

04 SERVE

Live SME agent

IRIS becomes a 24/7 mentor for your team. Natural-language queries across the entire system. New engineers ramp in days, not quarters. Modernization decisions get made with full visibility into downstream dependencies.


Architecture & security

Your code stays in your cloud.

IRIS is deployed inside your AWS, Azure, GCP, or on-prem environment. Source code, customer data, and SME conversations never leave your security boundary. The LLM is reached through a model proxy with zero data retention configured upstream.

IRIS Platform Boundaries
Customer’s secure cloud environment
SRCSource code repos
COREIRIS Platform
PROXYModel proxy service
AUTHDirectory service / SSO
OBSObservability stack
Outside the boundary — auth + metadata only WorkOS authentication · Phoenix AI observability · Selected LLM (Anthropic / Google / OpenAI / on-prem)
In your cloud, end-to-end

AWS, Azure, GCP, or on-prem. Source code, vector embeddings, SME conversations, and generated specs all sit inside your VPC. No external data egress for content.

Model agnostic

Works with any LLM through the model proxy — Anthropic Claude, Google Gemini, OpenAI, Mistral, or on-prem open-weight models. Switch providers without touching IRIS.

Zero data retention upstream

Model providers configured for zero retention. Your adjudication logic, customer configurations, and pricing algorithms never train any third-party model.

Enterprise audit & access

RBAC, SSO/SAML, AES-256 at rest, TLS 1.3 in transit. Complete audit trail. BAA-ready for HIPAA workloads. Designed for regulated environments.

Low implementation lift

Four-step rollout: install software, prompt-tune, knowledge extraction, training & go-live. Customer prerequisites are cloud infrastructure, source code access, directory service, and SME availability.


The 6-week proof of concept

Start with one system. Prove value. Expand from there.

Every pilot follows the same six-week rhythm. By week 6 you have a validated specification of one critical system, a live IRIS SME agent for that system, and a quantified value comparison versus the consulting alternative.

Week 01 · Deploy

Install & ingest

IRIS deployed in your cloud. Connected to one system’s codebase and existing documentation. First analysis runs overnight.

Weeks 02–04 · Learn

SMEs teach the “why”

Three to four targeted sessions with senior engineers and domain experts. IRIS captures customizations, historical workarounds, and architectural rationale.

Week 05 · Validate

Specs & sign-off

Business specifications generated. Senior engineers validate accuracy. Undocumented rules surfaced. IRIS SME agent goes live for the team.

Week 06 · ROI

Value quantified

Costs benchmarked vs. the consulting alternative. New engineer onboards using IRIS to prove ramp acceleration. Plan for system-wide rollout.


Start here

Pick a track. Ship a pilot.

Tell us the system. The pain. The deadline driving it. We’ll reply within 48 hours with three sharpening questions and a proposed scope. No mass-market sequences. Partner-led from the first email.

How we think

This is not a blog.
It is a record of positions.

Short essays on how Life Sciences and Healthcare are changing, what that means for CXOs, and where we think the opportunity lies. Written in-house. Not ghostwritten. Not SEO-bait. Current pieces are MedTech-led; HealthTech and pharma essays are in progress.


Regulatory April 2026 • 8 min

The QMSR transition is not a compliance project. It is an operating-model reset.

Feb 2, 2026 is treated as a deadline. For most mid-market MedTech companies, it is actually the forcing function that exposes how brittle the last decade of QMS investment really was.

Most MedTech quality organizations have spent the last decade layering procedures on top of procedures. Each new audit finding, each new product line, each new regulation added another document. By 2024 the average mid-market QMS contained more surface area than any single person could hold in their head — and more exceptions than any auditor could reliably trace.

The FDA QMSR transition is not asking for more procedures. It is asking for the procedures to actually be traceable to ISO 13485:2016. This is a much harder ask than "write new SOPs." It requires remapping the entire procedure library against a new framework, identifying every orphaned document, and defending the mapping in an audit.

The firms treating this as a paperwork exercise will pass the first audit. The ones treating it as an operating-model reset — consolidating, deprecating, automating — will come out of 2026 with a QMS that actually scales. The rest will have bought themselves another decade of drift, more expensively.

The short version of our thesis: QMSR is a forcing function. Use it.

Strategy April 2026 • 10 min

Software-defined MedTech is the shift no one's pricing correctly.

The device still matters. The hardware still matters. But the economic gravity has moved — and the companies still running hardware-era product organizations are building the wrong roadmaps.

For forty years, MedTech operated on a simple model: design a device, get it approved, sell it through distributors, support it in the field. Software existed, but as a feature of the device, not a product in itself. The P&L was organized around units shipped.

That model is collapsing under its own weight. Connected devices generate data that is more valuable than the device. Regulatory pathways are increasingly about software changes, not hardware revisions. Reimbursement is shifting to outcomes, which require software to measure. The device companies that have figured this out are pricing software as a separate revenue line — subscription, usage, outcomes-based. The ones that haven't are still burying it in unit economics.

Three data points worth holding in mind. Sixty percent of device makers say they are pivoting to software-driven revenue. Fewer than twenty percent have automated software release pipelines. And the gap between those two numbers is where the next decade of MedTech competitive position gets decided.

The firms that will win are not the ones with the best devices. They are the ones that can ship software at the cadence software requires — quarterly, monthly, weekly — while maintaining the evidence regime that regulated medicine requires. That is not an engineering problem. It is an operating-model problem. And it is what we were built to solve.

More pieces in progress

We publish when we have something actually worth saying.

Upcoming: the MVP-to-Series-B engineering gap in HealthTech. The productized-pilot economics of mid-market MedTech services. The PCCP playbook for AI/ML devices. Why the analytics-first commercial stack is incomplete.

Subscribe to updates
Start here

Pick one stage. Pick one accelerator.
Ship a pilot.

Every engagement starts with a fixed-fee productized pilot, scoped to one CXO's most acute 2026 pain. Tell us which practice and which value-chain stage, and we'll reply within 48 hours with a proposed scope.


What happens next
  1. 01
    You send the form.

    Tell us the practice, the stage, the pain, the timeline. More detail helps us reply faster.

  2. 02
    We reply in 48 hours.

    A short note from a partner with three questions and a proposed next step. No mass-market sequences.

  3. 03
    We scope the pilot together.

    One 45-minute call. A written proposal inside five business days. Fixed fee, published KPIs.

Prefer email?

Fremont, California • Partner-led responses only

We reply within 48 hours from a partner address. Your information is never shared and never enters a sequence.