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Subspecialty pathology, built to scale

Digital pathology, done differently.

Most companies sell hospitals a tool, or a network. We become the subspecialist. We're starting in gastrointestinal (GI) pathology, the richest, most understaffed niche in pathology, then running the same engine across every subspecialty a community lab can't staff.

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CASE GI-2026-00418
  • Received00:00
  • Digitized·
  • Routed to subspecialist·
  • Signed out·
Simulated case timeline TAT 00:00

The bigger bet

We are not trying to be a faster GI consult line. We are building the subspecialty layer underneath every community pathology lab in America.

Pathologist shortages do not stop at GI. The same gap shows up in breast, GU, GYN, and dermatopathology, in any subspecialty a small lab cannot justify hiring for. GI is where Digislide starts: it is the richest, most underserved niche, and the one our founder has lived from the inside as a community hospital pathologist herself. Prove the model once, in clinical trust, in operations, in outcome data, and the same engine runs on the next subspecialty, and the one after that.

The proof: GI

Gastrointestinal pathology is where we prove it first.

2 to 4 wks Typical wait for an outside GI read today
24 to 48 hrs Signed subspecialist report, start to finish
$0 Capital required from your lab to start a pilot

GI is the richest, most underserved subspecialty in community pathology, and the one our founder has lived from the inside. Prove the model here, the clinical relationships, the turnaround, the outcome data, and the same engine extends to every other subspecialty a community lab cannot staff.

How it works

How a case moves through Digislide

  1. 01

    Send

    Your lab scans the slide, or ships it. No new scanner required to start a pilot.

  2. 02

    Triage

    The case is logged and routed to the right subspecialist for that tissue type.

  3. 03

    Read

    The right board certified subspecialist reviews the slide and drafts the report.

  4. 04

    Sign out

    The signed report returns to your lab, typically within 24 to 48 hours.

Cases don't stop coming in because a lab is short staffed. They just wait longer.

Subspecialty coverage is hardest to staff at exactly the hospitals that need it most: smaller, community based labs without the case volume to justify a full time GI pathologist. Digital slide scanning has made remote review practical. Digislide exists to connect the case to the right reader fast, without asking a community lab to take on a major infrastructure project first.

Why this compounds

Most of digital pathology is software, or a marketplace. We are neither.

Platforms

Hand a lab a tool and call the job done. The lab still has to find the subspecialist, run the workflow, and live with the backlog.

Networks

Route the case to whoever is available right now. Fast sometimes, but transactional: the case closes and nothing compounds.

Digislide

We are the subspecialist, and we stay with the case. Every read updates a structured, outcome linked record, biopsy to resection to surveillance, that gets more valuable every time the patient comes back.

Software can be copied. A case marketplace can be out marketed. A founder's relationships inside community hospitals, and years of linked patient outcomes, cannot be bought off a shelf.

Dr. Deb Das, MD

Founder

Dr. Deb Das, MD

Deb is a GI pathologist trained at Harvard Medical School and BIDMC, with years spent practicing as a pathologist across New England hospitals.

She built Digislide after living the problem herself: complex GI cases sitting in a queue because the subspecialist the case needed simply wasn't on staff. Digislide is the service she wished existed every time that happened.

The plan is to repeat this in subspecialty after subspecialty: prove the model with deep clinical trust and outcome data, then move to the next gap a community lab cannot staff.

Signed out by D. Das, MD

Roadmap

Where this goes

  1. Phase 1

    Prove it in GI

    Subspecialty teleconsultation live with pilot community hospitals. This is where the outcome linked data engine gets built.

  2. Phase 2

    Expand subspecialty by subspecialty

    The same playbook, clinical trust plus structured outcome data, runs on breast, GU, GYN, and dermatopathology, one subspecialty at a time.

  3. Phase 3

    Become the subspecialty layer

    AI assisted tools trained on outcome data across every subspecialty we cover. Every case is still signed out by a pathologist.

For hospital labs

Tell us about your case volume and we will set up a pilot.

For investors and partners

Reach out directly and we will follow up within a few days.

Email deb@digislide.ai