DNV-114 · A cancer scan, live in 41 hospitals

See the wholedisease in oneafternoon.

DNV-114 is a molecule we designed to stick to cancer cells and light them up on an ordinary hospital scanner. One session maps the disease across the whole body, and it agrees with a surgical biopsy 96.3% of the time. No needle. No two-week wait for the result.

Agrees with biopsy
96.3%
Injection to answer
90 min
Hospital sites
41
02 · The scan

The whole picture,
without the scalpel.

A biopsy takes one small sample and assumes the rest of the tumour looks like it. Often it doesn't. DNV-114 attaches to a protein that sits on the surface of these cells wherever they are, so a 90-minute scan shows every deposit at once, including the ones a needle would simply have missed.

Because the result is a number rather than an impression, the same patient can be scanned again a few months into treatment and measured against their own starting point. You can see whether the therapy is working instead of waiting to find out.

  1. STEP 01

    Dose on site

    One injection from a ready-made vial, given the way any other contrast agent is. Nothing has to be mixed or manufactured on site.

  2. STEP 02

    Scan at 60 minutes

    The patient waits an hour, then spends twenty-two minutes on the scanner the hospital already owns. No new equipment.

  3. STEP 03

    Report the same day

    A radiologist gets a whole-body map with a number for each region, in the same system they read everything else in. The patient hears back that day.

03 · About / Innovation

Nobody was going to
find this molecule.

For most of the last century, finding a new medicine meant testing millions of existing molecules and hoping one of them happened to fit. It's an expensive way to run a lottery, and for a lot of targets there is simply no winning ticket in the pile. Denova Bio started in 2019 to do the opposite: describe the molecule you need, then build it.

The interesting part isn't the software. It's the loop. Our AI designs candidates, our own lab makes and tests several hundred of them a week, and everything it learns, including everything that failed, goes back into the software by Friday. The design gets better every week rather than every few years.

Founded, Cambridge
2019
Designs tested weekly
600/wk
Molecules screened at random
Zero

Plate 01 / The lab, Cambridge

Several hundred designs a week are grown, purified and tested on this bench. The ones that fail are the ones the model learns most from.

Chromosomes condense, line up along the middle of the cell, and are pulled apart by the spindle into two daughter cells.

How a cell goes wrong

  1. Every cell divides.

    Cancer is not an exotic molecule. It is an ordinary process with the brakes off, which is why you find it by reading a surface instead of waiting for a symptom.

  2. Some divide wrong.

    A misregulated cell carries the evidence on its membrane long before it is big enough to feel, or to hit with a needle.

  3. The marker is the target.

    That marker on the surface is what we designed DNV-114 to grab hold of. We described the grip we needed before any such molecule existed.

  4. So we designed the binder.

    It wasn't found in a library. It was designed, built, tested, then tagged so it shows up on a scanner your hospital already owns.

04 · Technology / Research

We did not screen for DNV-114. We specified it.

Four steps, repeated week after week. We describe the target, the software designs molecules for it, robots in our lab build and test them, and the results teach the software what to try next. DNV-114 came out of the fourth turn of that loop.

Fig. 03 / Interaction lattice

Fig. 03 — binding contacts in the interaction lattice. Points that come within 9 Å of one another resolve as a contact.

05 · The loop

Four steps, and the fourth one feeds the first.

  1. 01Specify
  2. 02Generate
  3. 03Build and test
  4. 04Retrain

06 · Capabilities


  • Binder design to brief

    We make small, antibody-like molecules that grip a chosen target, including targets that decades of conventional methods never cracked.

  • Radiolabelling chemistry

    To show up on a scan, a molecule has to carry a tiny radioactive tag. We plan where that tag goes from the start, so attaching it doesn't ruin the molecule's grip or how fast it leaves the body.

  • Structure prediction at scale

    Before anything is made, separate models predict the shape it will fold into, and we publish how confident they are. Guesses are labelled as guesses.

  • Automated wet lab

    Four robotic lines run through the night without anyone standing over them, which is what makes several hundred tests a week possible at all.

  • Clinical operations

    Getting a hospital up and running is our job, not theirs: training, protocol, paperwork and software. Eleven days on average from signature to first patient scanned.

  • Data & IP handoff

    Partners get the raw measurements and the exact settings we used, so they can check our work rather than take our word for it.

Plate 02 / Verification

Nothing reaches a hospital that has not been measured first.

A design that looks right on screen is a hypothesis. It becomes a candidate only after a person and a machine agree on what it actually did.

07 · Impact


Denova Bio / programme performance to dateDNV-2026Rev DSheet 01 of 03
Hospital sites
41
Samples tested and sequenced
2.10M
Active programmes
14
Agreement with surgical biopsy
96.3%
Days from contract to first scan
11

Figures audited to 31 March 2026. Agreement was measured by scanning and biopsying the same 612 patients and comparing the two results.

“It changed the order of the clinic. We stage on Tuesday and start therapy on Thursday, on the same admission.”
Dr. A. Vasquez, Clinical Director of Nuclear Medicine, Ríoclaro University Hospital
08 · Book a call

Thirty minutes,
nothing hidden.

One call, whether you run a scanning department, a research programme, or you're simply trying to work out if this is real. A scientist is on every one, and we'll show you what didn't work as readily as what did.

Or write to clinical@denova.bio · Cambridge, UK & Basel, CH