New startup ideas · Health and bio · Healthcare and bio

startup idea

Corpus Bio

The pooled experiment exchange that teaches drug-discovery models what failed.

Corpus Bio sells pharma and biotech R&D organizations a subscription platform that captures every wet-lab experiment - including the roughly 90 percent that fail and never leave the notebook - in a structured, model-readable format.

4/5

venture judge

5

similar startups, last 2 years (11 all-time)

97%

of 4 nearest real companies still alive

yes

8 matching federal grants and programs

Direction supported by government programs and grants

Test it before you build it

$2,000 · 5 weeks · 15 prospects

For $2,000 in 5 weeks, prove that venture-backed biotechs will get legal clearance to pool anonymized failed expression runs and pay $2,500 deposits before the pool exists.

Riskiest assumption · Legal counsel at a venture-backed biotech will approve contributing anonymized failed protein-expression data to a shared pool within two weeks, and the science lead will pay before the pool has critical mass.

1Focus group: who and where

Head of protein science or platform lead at a venture-backed biotech (Series A to C, 20-150 people, Boston-Cambridge or South San Francisco) running 50 or more expression constructs a quarter, whose team keeps repeating failed constructs because outcomes are buried in unsearchable ELN entries.

where to find 15 · The Bits in Bio Slack community, the published resident-company directories of LabCentral and BioLabs, warm introductions through the prospects' seed and Series A investors, and the PEGS Boston protein engineering summit speaker and alumni network.

2Sell first, build later

A founding data-partner pilot, capped at 10 biotechs: contribute anonymized protein-expression outcomes under the cleared one-page terms and receive quarterly priors on which constructs, tags, and conditions will fail, first report within 60 days of data transfer.

the ask · $7,500 per quarter per company, with $2,500 invoiced up front on signature

a real yes · A real yes is a paid $2,500 invoice plus a countersigned data-contribution agreement; cleared legal terms without payment, enthusiasm from scientists whose counsel never responds, and requests for a free trial are noes.

3Small experiments

The first one attacks the riskiest assumption; each ends with a number that says whether to run the next.

  1. 1. Legal clearance of sharing terms

    $1,200 · 21 days

    Have a life-science attorney draft a one-page anonymized data-contribution term sheet: what fields leave the building, how anonymization works, what members get back. Send it to 12 heads of protein science recruited through Bits in Bio and the LabCentral directory and ask each to run it past their counsel within 14 days. The deliverable is redlines or signatures, not opinions.

    keep going if · 5 of 12 companies return the term sheet legally cleared or signed within 14 days of receiving it

  2. 2. Blind prior benchmark

    $300 · 14 days

    Under mutual CDAs, collect roughly 25 historical expression outcomes from each of 6 labs. Hand-build priors on which tags, hosts, and conditions fail, then predict outcomes on 15 held-out constructs per lab, scored against the lab's own scientists' predictions. This tests whether pooled failures beat internal intuition at all.

    keep going if · Pooled priors beat the lab's own scientists' predictions on held-out constructs at 4 of 6 labs

  3. 3. Founding-partner deposit pre-sale

    $500 · 14 days

    Pitch the 10 most engaged prospects a founding data-partner pilot in person over Cambridge and SSF coffee meetings: quarterly priors on their live construct queue, their assay class prioritized, $7,500 per quarter with $2,500 invoiced on signature. A founder runs every pitch with the benchmark results in hand.

    keep going if · 3 of 10 pitched companies pay the $2,500 invoice within 14 days of the pitch

4Collect a deposit up front

Tesla took $1,000 refundable reservations for the Model 3 and $100 for the Cybertruck before building either: the deposit is the measurement, not the revenue.

$2,500

per prospect, refundable

how · A $2,500 invoice paid on signature of the pilot agreement, credited to the first quarter - the standard instrument for a paid enterprise design-partner pilot, and the only proof that both the science lead and the budget owner have moved. The head of protein science signs the pilot; counsel countersigns the data-contribution terms. set up: Stripe Invoicing ↗

what it reserves · One of 10 founding data-partner slots, the $7,500 quarterly rate locked through year one, and priority for their assay class in the first prior models

refund · Fully refundable until the first pooled-prior report is delivered, expected within 60 days of the company's data transfer.

target · 3 paid $2,500 deposits from 10 pitches within 35 days

Go: build it if

5 of 12 term sheets legally cleared within two weeks each, priors beating internal predictions at 4 of 6 labs, and 3 paid $2,500 deposits - the legal gate opens and the pool pays; build the capture layer.

Kill: stop if

2 or fewer legal clearances from 12 asks after 3 weeks, or 0 paid deposits from 10 pitches despite winning benchmarks - counsel is the wall the stated risk predicted; stop.

5 Scripts to run itoutreach message, landing copy, deposit terms · click to open

outreach message

If your protein team is like most, about half of your failed expression runs repeat a failure a lab down the street already hit - and none of it ever leaves anyone's ELN. I'm building Corpus Bio: ten founding biotechs pool anonymized expression outcomes and get back priors on which constructs, tags, and conditions actually fail. I have a one-page data-sharing term sheet your counsel can clear in a week. Worth 20 minutes to see whether last quarter's failures would have been predictable?

landing page

Stop rerunning expression failures ten other labs already made $7,500 per quarter, $2,500 today: a founding data-partner slot, pooled priors on protein expression, one-page legal terms your counsel can clear in a week Reserve one of 10 founding slots - $2,500, credited to your first quarter

deposit terms

The $2,500 payment reserves one of 10 founding data-partner slots and is credited in full to your first $7,500 quarter. It is fully refundable until we deliver your first pooled-prior report, expected within 60 days of your data transfer. Your rate stays $7,500 per quarter through year one.

Would you run this test?

One tap. The yes-share feeds the Demand pillar of this idea's score; nobody sees who answered.

Budgets are out-of-pocket estimates for a team of one to three, US market. Size the deposit to the deal, and check the terms before taking money in a regulated line.

Scorecard

One score that balances how trendy the idea is, the demand for it and its potential for 100x, with competition measured relative to every other idea in the catalog. Recent startup trends first, government priorities second.

87

Idea Score, 0-100 · raw 54.4 x 1.61

Active

competition: more crowded than 56% of ideas · headwind x0.72

+4.3

government priorities, secondary (70 matching grants)

Trend

77

Is the wave forming now? 2025-26 entrants vs 2023-24, rounds since 2025, the sector's live-batch direction, the 2026 trend analyst.

  • Entrants 2025-26 vs 2023-24 (similar companies)90
  • Rounds announced 2025+ in the sector69
  • Sector direction (live batch)100
  • 2026 trend analyst50

Demand

52

Does anyone want it? YC's current RFS, companies already paid for something similar, the operator judge, founders' yes-rate in decks, readers who would run the test.

  • YC asks for it (current RFS: idea / sector)30
  • Someone already pays (similar companies, recent / all-time)100
  • Operator judge: real pain25

100x potential

84

Can it return a fund? The venture judge (double weight), market-size and moat axes, neighbours still alive, the technologist judge.

  • Venture judge75
  • Market size axis100
  • Moat axis100
  • Neighbours still alive81
  • Technologist judge75

Score = 100 x cbrt(Trend x Demand x 100x) x (1 - 0.5 x crowding) + government bonus (max 5), calibrated so the 95th-percentile idea scores 90 (order never changes). A geometric mean: a weak pillar cannot be papered over. Percentiles are among the 272 ideas in the catalog; the terms matched were pooled, experiment, exchange, teaches, drug-discovery, models, failed, corpus.

The idea in full

What
Corpus Bio sells pharma and biotech R&D organizations a subscription platform that captures every wet-lab experiment - including the roughly 90 percent that fail and never leave the notebook - in a structured, model-readable format. Members contribute anonymized assay outcomes to a shared corpus and in return get predictive priors trained on the pooled data: which constructs express, which assays are artifact-prone, which conditions waste a week. Distribution runs through lab instrument vendors and CROs who bundle the capture layer; the software makes no clinical claims and faces no regulator.
Why now
'Drug discovery' is the cluster's most crowded phrase at 5 companies, and the S26/X26 batches (Rasyn's general intelligence for chemistry, WonderTx's extrapolative AI, Omanta's research lab for one) are all model builders starved for exactly the experimental data no one shares - while the graveyard's Great Bay Bio died attacking 'long timelines, high costs, and low success rates' with models alone. The data layer under the crowd is empty.
Wedge: first customer and entry point
Ten venture-backed biotechs on the same instrument vendor's channel, starting with protein-expression outcomes - a narrow assay class where pooled failure data pays back within one quarter of avoided repeats.
Path to 100x
Global pharma R&D spend runs in the hundreds of billions a year, and a platform whose priors reliably kill doomed experiments early prices against that spend, not against software budgets. The exchange compounds like a network, not a database: every new member's failures improve every other member's models, so the first pool to reach critical mass becomes impossible to leave and unattractive to duplicate, which is how a new pre-competitive data category gets exactly one winner.
Ceiling
If the big instrument makers or a pharma consortium stand up a good-enough shared repository themselves, Corpus is reduced to a capture-tooling vendor without the pool that carries the value.
Closest real companies, as the generator saw them
Rasyn, WonderTx, and Atlas Discovery build predictive models and would be Corpus customers, not rivals; Omanta automates a single lab rather than pooling across labs; none operates a cross-company exchange.
Main risk
Pharma legal departments refuse to contribute even anonymized negative data, leaving the pool too shallow for the priors to beat each company's internal baseline.

Five judges

Each judge scores every idea in the catalog with a named rubric; the venture judge decides whether a card is shown at all (4-5 is venture-grade).

  • Venture investor

    4/5

    Pooled failure data prices against hundreds of billions of R&D spend, and every member's failures make the pool harder to leave.

  • Bootstrapper

    3/5

    Software margins and a one-quarter payback on protein-expression repeats, but pharma legal review makes each contributing member a slow sale.

  • Operator

    2/5

    The product requires pharma legal to share failed-experiment data across competitors, which is the whole industry moving before value appears.

  • Technologist

    4/5

    Structuring the 90 percent of experiments that fail into model-readable priors is hard capture engineering whose value grows with every member's contributions.

  • Risk

    3/5

    Unregulated with no clinical claims, but distribution depends on instrument vendors and CROs who are also the most likely consortium competitor.

  • trends

    3/5

    Shares the real 2025-2026 data-scarcity shift behind the model-builder boom, but pharma legal resistance to pooling was equally blocking in 2023.

Similar startups in the directory

Companies whose pitch matches most of the idea's terms (pooled, experiment, exchange, teaches, drug-discovery, models, failed, corpus): 11 all-time, 5 from the last two years. Same matching as Idea Check.

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  • Lucidic AIyc W25 · 2025 · Agent infrastructurealive

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  • Easework AIplugandplay PnP 2024 · 2024 · Vertical AI agentsalive

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  • FlyCodeyc S22 · 2022 · Fintechalive

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  • UrbanKisaanyc W20 · 2020 · Healthcare and bioalive

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  • Cleoef EF London 2015 · 2015 · Consumeralive

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  • 株式会社クラスplugandplay · Consumeralive

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Run this as an Idea Check →

The generator's reference companies

Real companies the model named as closest when it wrote the card, with their fate. A check mark is a company the radar could verify in its directory.

Public money in this direction

US federal grants, SBIR/STTR awards and open opportunities from the radar's public-money feed, matched to the idea's terms; the sector totals give the context.

8

grants and programs matching the idea

1595

startup-relevant grants in Healthcare and bio

$854M

awarded in the sector, tracked

118

opportunities open now in the sector

All public money by sector →

Market signal

What the radar sees in Healthcare and bio: new companies by cohort year, the forming YC batch, and outcomes since the February snapshot.

Healthcare and bio · 135 → 121 → 224 → 173 → 127 new companies 2022 → 2026 · 91% aliveYC F26 live: 2 in this cluster, 2% of the batch (was 6% in S26)Since February, of 442 YC companies here: 6 acquired, 6 shut down, 45 rewrote their pitch

Healthcare and bio: companies, trend and grants →

Design attributes

The card is one cell of a designed set: every axis below was chosen before the text was written, and the text had to realize it.

Buyer
Enterprise
Business model
Software subscription
Path to 100x
Creates a new category
Market size
$100B+ market
Capital intensity
Capital-medium (ops, field teams)
Speed to revenue
Revenue in 1-3 years
Technical depth
Deep tech: ML, hardware, bio
Go-to-market
Partners and channels
Moat
Network effects
Geography
Global from day one
Regulation
Unregulated
Vibe
Boring business

Listed under

An idea sits in its own sector and in any sector its text clearly touches.

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Swipe ideas like this in the deckTalk to the radar about it

Fictional company written 2026-08-26 from MarkosWeb data; the companies, grants and numbers around it are real and tracked. Treat the idea as a research prompt, not a plan.