New startup ideas · Physical world · Climate and energy
startup idea
Neutrix
Regulatory-grade nuclear simulation, delivered as cloud software reactor engineers sign up for.
Neutrix builds a cloud platform of neutronics and thermal-hydraulics codes, accelerated by ML surrogates and qualified under the NQA-1 regime, that compact reactor developers and utilities use to produce license-ready safety analysis.
- Software subscription
- Enterprise
- $100B+ market
- Creates a new category
- US first
3/5
venture judge
48
similar startups, last 2 years (136 all-time)
94%
of 2 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
$950 · 4 weeks · 40 prospects
For $950 and 4 weeks, prove two compact reactor developers will sign and pay deposits on $25,000 benchmark pilots today, years before any NRC acceptance of the code baseline.
Riskiest assumption · A compact reactor developer will pay $25,000 this quarter for cloud-run physics analyses that carry no NQA-1 pedigree yet, rather than waiting years for NRC acceptance before spending anything.
1Focus group: who and where
The core design or neutronics lead at a US compact reactor developer, 20-200 people, seed through series B, already in pre-application engagement with the NRC, currently paying one engineer to babysit MCNP, Serpent, or a national lab code stack while the safety analysis schedule for their docket slips.
where to find 40 · The NRC's public advanced-reactor pre-application activities list, a ready directory of every developer already engaging the regulator; American Nuclear Society local sections and division meetings where these engineers present; warm intros through DOE's GAIN program and NRIC contacts at Idaho National Laboratory.
2Sell first, build later
An eight-week design-partner benchmark pilot starting within 30 days: Neutrix re-runs one of the customer's existing core physics cases and one public benchmark on its cloud stack, delivers a side-by-side accuracy and runtime report, and the customer's cases seed the NQA-1 validation file with named credit.
the ask · $25,000 per pilot, $5,000 due at signing; year-one subscription quoted at $60,000 per team with the pilot fee credited.
a real yes · A signed pilot SOW with the $5,000 deposit paid and a kickoff date on the calendar; friendly national lab interest, unpaid benchmark requests, and 'come back after NRC acceptance' do not count.
3Small experiments
The first one attacks the riskiest assumption; each ends with a number that says whether to run the next.
1. Design-partner pilot pitch
$200 · 14 days
Work the NRC pre-application list and GAIN intros into 15 calls with neutronics leads. Pitch an eight-week benchmark pilot: Neutrix re-runs one of their existing core physics cases plus one public benchmark on the cloud stack and delivers a side-by-side accuracy and runtime report, $25,000 with $5,000 at signing. Ask for the signature on the call, not a follow-up.
keep going if · 6 of 15 book a scoping session; 2 of 15 sign the SOW and pay the $5,000 deposit
2. Small-PO procurement check
$50 · 7 days
Call 5 engineering managers at reactor developers and one utility and ask exactly how a $25,000 software pilot gets bought: corporate card, sub-$50k purchase order, or vendor QA audit first. This decides whether pre-qualification revenue is even purchasable.
keep going if · 3 of 5 confirm a sub-$50k PO with no vendor QA audit required for non-safety-related scoping work
3. Public benchmark whitepaper
$700 · 14 days
Reproduce one public criticality or depletion benchmark on the cloud OpenMC pipeline and write a 6-page results paper, gated behind the priced pilot page. Email it to 40 named engineers from ANS sections and the NRC pre-application list and track who requests it and who books a call.
keep going if · 12 of 40 request the paper and 4 book calls
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.
$5,000
per prospect, refundable
how · A paid design-partner pilot invoiced up front: $5,000 of the $25,000 fee due at signing by ACH against a two-page SOW the customer's VP of engineering signs, which is how these organizations already buy analysis and consulting. set up: Stripe Invoicing ↗
what it reserves · One of three Q4 2026 pilot slots, the customer's own benchmark cases written into the qualification file, and full credit of the pilot fee against year one.
refund · Fully refundable until the kickoff meeting; after kickoff it becomes the first pilot invoice.
target · 2 paid $5,000 deposits from 15 conversations within 30 days
before taking money · Do not describe any output as NQA-1 qualified or license-ready before a real QA program exists, and clear code access for any foreign-person engineers under 10 CFR Part 810 export rules before the first pilot.
Go: build it if
2 pilots signed with deposits paid within 30 days, and 3 of 5 procurement calls confirm a sub-$50k PO path without a QA audit.
Kill: stop if
Zero deposits and fewer than 3 scoping sessions after all 15 pitches, or a majority of buyers say they will pay nothing before the NRC accepts an ML-accelerated baseline.
5 Scripts to run itoutreach message, landing copy, deposit terms · click to open
outreach message
Your core physics runs still queue on MCNP or Serpent licenses and a cluster one engineer maintains on the side. We run neutronics and thermal-hydraulics in the cloud and are qualifying the stack under NQA-1. We are taking three design partners this quarter: an eight-week benchmark pilot against your current workflow, your cases seeding the validation file, $25,000 with $5,000 at signing. Can I get 20 minutes this week to walk you through the benchmark plan?
landing page
Run license-grade core physics in the cloud, not on lab codes. $25,000 eight-week benchmark pilot, $5,000 at signing, credited to year one. Reserve one of three Q4 design-partner slots.
deposit terms
$5,000 due at signing reserves one of three Q4 2026 design-partner slots for the eight-week benchmark pilot and is credited against the $25,000 pilot fee. It is fully refundable until the kickoff meeting; after kickoff it becomes the first pilot invoice. Your pilot starts within 30 days of signing.
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.
51
Idea Score, 0-100 · raw 31.9 x 1.61
Crowded
competition: more crowded than 97% of ideas · headwind x0.52
+4.6
government priorities, secondary (134 matching grants)
Trend
47
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)67
- Rounds announced 2025+ in the sector47
- Sector direction (live batch)50
- 2026 trend analyst25
Demand
42
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)0
- Someone already pays (similar companies, recent / all-time)100
- Operator judge: real pain25
100x potential
74
Can it return a fund? The venture judge (double weight), market-size and moat axes, neighbours still alive, the technologist judge.
- Venture judge50
- Market size axis100
- Moat axis80
- Neighbours still alive65
- Technologist judge100
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 regulatory-grade, nuclear, simulation, delivered, cloud, reactor, engineers, builds.
The idea in full
- What
- Neutrix builds a cloud platform of neutronics and thermal-hydraulics codes, accelerated by ML surrogates and qualified under the NQA-1 regime, that compact reactor developers and utilities use to produce license-ready safety analysis. Engineers open an account and run cases self-serve on per-seat and per-run pricing, instead of maintaining decades-old national lab codes in-house. The first three-plus years go to code validation campaigns and benchmark data operations before the qualified baseline can anchor an NRC docket.
- Why now
- YC's X26 batch includes Apollo Atomics building the most compact nuclear reactors, and this cluster added 170 new companies in the 2024 cohort alone - a wave of reactor designs is heading toward a licensing process still served by legacy tooling.
- Wedge: first customer and entry point
- One compact reactor startup as a design partner, using Neutrix to run its core physics and safety cases while the qualification file is built on that shared work.
- Path to 100x
- This is EDA for fission: once a code baseline is accepted in regulatory dockets, every new design, uprate, and license amendment across a $100B-plus nuclear buildout must run through qualified tooling, and qualification is a multi-year barrier no fast follower crosses. The license moat makes it a near-monopoly toll on reactor engineering the way Synopsys tolls chip design.
- Ceiling
- If the US reactor buildout stalls, the customer universe stays in the low hundreds of engineering organizations.
- Closest real companies, as the generator saw them
- Apollo Atomics builds reactors and would be a customer, not a rival; Terranox AI applies AI upstream to uranium discovery, not to design and licensing analysis.
- Main risk
- NRC acceptance of an ML-accelerated code baseline takes longer than any venture runway.
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
3/5
Synopsys-style license moat is real, but a customer universe of low hundreds of engineering orgs plus NRC timelines caps the near-term power law.
Bootstrapper
1/5
NQA-1 validation campaigns and an NRC docket mean zero revenue for three-plus years and far more than $500k of capital.
Operator
2/5
Buyers are a few hundred engineering orgs and nobody pays until the NRC accepts an ML-accelerated baseline years out.
Technologist
5/5
An NQA-1 qualified neutronics baseline accepted in an NRC docket is a multi-year technical barrier no fast follower crosses in a weekend.
Risk
2/5
Everything rests on one NRC acceptance decision for an ML-accelerated code baseline, with a customer universe of low hundreds.
trends
2/5
Three-plus years of NQA-1 validation means no timing window at all, and legacy nuclear codes were an equally valid complaint in 2023.
Similar startups in the directory
Companies whose pitch matches most of the idea's terms (regulatory-grade, nuclear, simulation, delivered, cloud, reactor, engineers, builds): 136 all-time, 48 from the last two years. Same matching as Idea Check.
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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
203
startup-relevant grants in Climate and energy
$167M
awarded in the sector, tracked
13
opportunities open now in the sector
- I-Corps: Translation potential of a cognitive artificial intelligence (AI) method that estimates and mitigates recall risk of phishing threatsawardhigh relevance
National Science Foundation · I-Corps · $50K · posted 2026-08-17
NIH / NIEHS · SBIR phase I · $307K · posted 2026-08-01
- Data Collection and Analysis for Long-Term, Wireless Human Biosignal Sensing via Wearable Biosynthetic Sleeveawardhigh relevance
NIH / NHLBI · SBIR phase I · $314K · posted 2026-09-20
- Automated MRI-Based Musculoskeletal and Body Composition Assessment for Healthy Agingawardhigh relevance
NIH / NIA · SBIR phase II · $1M · posted 2026-09-18
NIH / NCI · SBIR phase II · $1M · posted 2026-09-17
- A Comprehensive Computation Platform for Single Molecule Localization Microscopy: From Molecular Localization, Visualization to Quantitative Data Analysisawardhigh relevance
NIH / NIGMS · SBIR phase I · $369K · posted 2026-09-04
- Project VELA: A Cloud-Based, Model-Agnostic Federated Query Tool to Enable Scalable, Inclusive Multi-Site Research Across Health Systemsawardhigh relevance
NIH / NIMHD · SBIR phase I · $307K · posted 2026-08-28
National Science Foundation · STTR Phase I · $305K · posted 2026-08-21
Market signal
What the radar sees in Climate and energy: new companies by cohort year, the forming YC batch, and outcomes since the February snapshot.
Climate and energy · 99 → 115 → 200 → 90 → 45 new companies 2022 → 2026 · 89% aliveYC F26 live: 1 in this cluster, 1% of the batch (was 1% in S26)Since February, of 118 YC companies here: 1 acquired, 2 shut down, 9 rewrote their pitch
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
- R&D first, revenue after 3 years
- Technical depth
- Deep tech: ML, hardware, bio
- Go-to-market
- Self-serve
- Moat
- License or regulatory moat
- Geography
- US first
- Regulation
- Some regulation
- Vibe
- Hot space
Listed under
An idea sits in its own sector and in any sector its text clearly touches.
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