iterLaneStart a conversation

Custom healthcare software.Proven platform.Live in weeks.

Decades of medical software expertise. A platform refined over years. An iterative methodology. Together they deliver bespoke software shaped to your hospital — at platform speed.

3,000+
clinicians on launch product
400+
hospitals reached
40+ yrs
founder experience
datapal.iterlane.ai / metro-general
Overview · May 2026
Hospital network
OR utilisation
78.4%
+3.1pp
Avg. case time
92min
−6min
Cancellation rate
4.2%
−1.4pp
Quality flags
12
−63%
OR utilisation by room
Last 30 days
Ask DataPal: Which surgeons exceed planned time the most this quarter?
Privacy-first
PHI never leaves your tenant

Trusted by clinical organisations across Europe

Cardiology Society
Metro General
Eastview Medical
Saint-Luc Hospital
Imperial Health
Northbridge Clinic
Sentinel Network
Greenfield Group
Cardiology Society
Metro General
Eastview Medical
Saint-Luc Hospital
Imperial Health
Northbridge Clinic
Sentinel Network
Greenfield Group
0+
Clinicians on our launch network
0+
Hospitals reached in past roles
0 yrs
Combined founder experience
0%
Custom-built, never templated
The Landscape

What's your hospital's
most pressing challenge?

These are the problems we hear about — repeatedly — from medical directors, CIOs, and clinical leads. They are the ones we are built to solve.

Generic AI tools that leak PHI
We solve this
Clinical chats stuck on WhatsApp
We solve this
OR data trapped in spreadsheets
We solve this
Workflows clinicians won't adopt
We solve this
Dashboards no one trusts
We solve this
Pilots that never go to production
We solve this
Vendors that won't sign a DPA
We solve this
Decisions made on intuition
We solve this
What makes us different

Three pillars.
One outcome.

Software that real clinicians use, in real environments, under real regulatory scrutiny — delivered faster than from-scratch ever could.

01
Experience

Decades of software experience.

Security, confidentiality, auditability, adoption — not problems we discover mid-project. They are our starting point.

End-to-end securityPHI architectureDesigned for trust
02
Platform

One proven platform behind every application.

Because the foundation is never rewritten, we guarantee both proven robustness and a development speed no from-scratch approach can match.

PWA · cross-deviceConversational AIFeature simulation
03
Methodology

Genuine custom solutions, delivered fast.

Experience and platform together produce the result that matters: bespoke software shaped to each client — never forced into a template.

Senior engineers onlyTight incrementsReal users, real feedback
Product 01 · Health Connect
HealthConnect

Collaboration for medical communities.

A white-label platform that transforms informal medical communities — often running on WhatsApp — into structured, secure, and scalable digital environments. Each deployment is fully branded per client.

Voice-to-case AI
Speak the case; AI structures it.
Semantic search
Find a past case by symptom, not keyword.
PHI auto-redact
Patient identifiers stripped before posting.
Expert threads
Structured discussions, fully auditable.
Embedded e-learning
CME content in the same feed.
White-label
Fully branded per medical society.
3,000+ clinicians live
·
iOS · Android · Web
9:41●●●
Cardiology Network
Feed
MR
AllCasesArticlesPolls
CASEDr. K. Yamamoto · 2h
45M, persistent ST elevation post-PCI — opinions?
[ ECG attached ]
💬 14↑ 28Open →
ARTICLEESC 2026
New guidelines: triple therapy in AF + ACS
Speak your case
AI will structure it for you
🎙
Product 02 · DataPal
DataPal

AI-powered clinical analytics for hospitals.

Hospitals without a Hospital Information System track activity on paper or Excel. DataPal ingests raw operational data, validates it clinically using AI, and serves interactive dashboards — no BI tool expertise required.

AI validation
Implausible data flagged at import.
Natural-language queries
Ask, get dashboards back.
Clinical ranges
Per-procedure thresholds, human-approved.
Multi-site
OR, cardio, endoscopy, ICU in one.
On-premise option
PHI never reaches the LLM.
Days, not months
From raw data to live dashboards.
datapal.iterlane.ai / metro-general
Overview · May 2026
Hospital network
OR utilisation
78.4%
+3.1pp
Avg. case time
92min
−6min
Cancellation rate
4.2%
−1.4pp
Quality flags
12
−63%
OR utilisation by room
Last 30 days
Ask DataPal: Which surgeons exceed planned time the most this quarter?
How we work

Iteration is the
delivery model.

We don't write specs for six months and disappear. We ship something every cycle, watch it land, and let your team shape what comes next.

01
Build

Senior engineers ship working software in tight increments — no juniors learning on your project.

02
Ship

Every cycle ends with something real in clinicians' hands — not a demo, not a mock.

03
Learn

Real screens generate real reactions. We watch, measure, and listen.

04
Adjust

Learnings fold into the next increment. We add, remove, refine.

No template. No generic product.
True bespoke software — at platform speed.
Start a conversation
The Team

Two founders.
Forty years of skin in the game.

PM

Pascal Méheut

Co-founder & CTO

20+ years turning real business problems into mission-critical software platforms.

  • Co-founder & CEO of Density Technologies, scaled across Europe and acquired by Neoxam.
  • Equally comfortable in a client workshop, an architecture review, and a code review.
  • Builds product, engineering, and operations teams from zero to acquisition.
ES

Edgar Simiu

Co-founder & CRO

20+ years advising executives on how to turn software investments into business outcomes.

  • Former CSO at MediReport, scaling the platform across 400+ hospitals in 40 countries.
  • Earlier: senior commercial roles at Sophis (financial software), Continental Europe and key strategic accounts.
  • Sells the engagement, structures the deal, and stays close to clients long after signature.
Let's talk

What problem
are you trying to solve?

Start there. We'll figure out the software together.

How we like to start
  1. 1A 60-minute working session — no slides, your problem on the table.
  2. 2We come back with a written point of view and a possible shape for the work.
  3. 3If there's a fit, we scope a small first engagement together.