New startup ideas · Physical world · Climate and energy
startup idea
Milepost
AI agents that draft and check federal environmental reviews.
Milepost sells AI agents to US federal and state agencies that assemble NEPA-class environmental review documents: they pull prior assessments, draft the analysis, flag inconsistencies with case law and agency guidance, and track comment responses.
- AI agent as a service
- Government and public sector
- $10-100B market
- Platform others build on
- US first
4/5
venture judge
4
similar startups, last 2 years (12 all-time)
yes
8 matching federal grants and programs
Direction supported by government programs and grants
Test it before you build it
$700 · 5 weeks · 25 prospects
For $700 and five weeks, prove that NEPA consultancies will pay $2,500 up front for AI-drafted review documents their own experts must stand behind.
Riskiest assumption · NEPA practice leads at consultancies holding federal contracts will pay for AI-drafted CE and EA text and stand behind it in deliverables bound for the administrative record, rather than banning it as a liability their agency clients could litigate.
1Focus group: who and where
The NEPA practice lead or program manager at a US environmental consultancy of 50-2,000 staff holding BLM or Forest Service contracts, staring at a fuels-management season where FY26 BLM program awards are about to push more categorical exclusions and EAs into a queue their drafters cannot staff.
where to find 25 · The NAEP (National Association of Environmental Professionals) member directory and chapter meetings; USAspending.gov filtered to firms with recent BLM environmental-services contract awards; NAEP's monthly webinars and annual conference circuit, where NEPA practitioners compare drafting workloads.
2Sell first, build later
A design-partner pilot delivered to the consultancy, not the agency: three categorical exclusion packages or one EA chapter set drafted from precedent documents and agency guidance for a live fuels-management project, delivered within six weeks of kickoff, with the firm's reviewers holding all sign-off.
the ask · $2,500 per pilot, invoiced 100% up front, locking $500-per-review pricing for the firm's first year
a real yes · A real yes is a signed one-page SOW and the $2,500 invoice paid; 'let's revisit after fire season', unpaid trials on old documents, and enthusiasm from staff who cannot sign a vendor invoice are not yes.
3Small experiments
The first one attacks the riskiest assumption; each ends with a number that says whether to run the next.
1. Book 10 practice-lead calls
$300 · 10 days
Build a list of 25 firms from USAspending BLM award data and the NAEP directory, then reach practice leads with the outreach script and through NAEP chapter meetings. On each call, map their current cost per CE package and EA chapter and ask what fraction of billed hours is first-draft writing versus review.
keep going if · 10 of 25 book a 20-minute call, and 6 of 10 name first-draft hours as the bottleneck and agree to a blind benchmark
2. Blind red-line benchmark
$250 · 10 days
Pull two completed fuels-management EAs from BLM's public ePlanning site, generate draft sections with an off-the-shelf LLM plus retrieval over prior assessments and agency guidance - no product built. Have 5 practice leads red-line the drafts against the originals without knowing which is which.
keep going if · 3 of 5 leads rate at least half the AI text usable with minor edits and say they would bill review hours against it
3. Sell three founding pilots
$150 · 14 days
Offer benchmark participants a $2,500 design-partner pilot: three CE packages or one EA chapter set drafted for a live project within six weeks of kickoff, invoiced up front, with all agency-facing QA and sign-off staying with the firm. Close with the landing copy and a one-page SOW.
keep going if · 2 of 6 firms offered sign the SOW and pay the $2,500 invoice
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 paid design-partner pilot invoiced up front, signed by the practice lead as a sub-$5,000 vendor engagement that clears without a procurement cycle - the consultancy is a private buyer, so money can move now even though its agency clients cannot pay yet. set up: Stripe Invoicing ↗
what it reserves · One of three founding pilot slots for this fire season, locked $500-per-review pricing for year one, and the firm's own templates and style guide built into the drafting agents
refund · Fully refunded if the pilot has not kicked off within 30 days of payment or if the firm rejects the first deliverable as unusable.
target · 2 paid pilots of $2,500 each from 10 calls within 35 days
before taking money · Sell only to the consultancy and never let AI-drafted text reach a federal agency or the administrative record without the firm's documented expert review and its counsel's read of the relevant agency AI-use guidance.
Go: build it if
2 paid $2,500 pilots signed and invoiced, and 3 of 5 benchmark reviewers rate at least half the AI draft usable with minor edits.
Kill: stop if
0 paid pilots after 6 SOW offers, or 4 of 5 practice leads say they will not put AI-drafted text into anything bound for an administrative record - that is the card's freeze risk showing up before a single sale.
5 Scripts to run itoutreach message, landing copy, deposit terms · click to open
outreach message
Your NEPA teams are heading into a season where BLM's FY26 fuels-management awards push more CEs and EAs into your queue than your drafters can staff. I'm building agents that draft CE packages and EA sections from prior assessments and agency guidance, so your reviewers red-line instead of writing from a blank page. First step is a blind benchmark on a completed EA you choose - nothing leaves your shop and no agency sees it. Worth 20 minutes this week?
landing page
NEPA first drafts from precedent, your experts review instead of write $2,500 buys a six-week founding pilot: three CE packages or one EA chapter set on a live project. Book a scoping call and reserve one of three pilot slots.
deposit terms
$2,500 invoiced today reserves one of three founding pilot slots and locks $500-per-review pricing for your first year. Delivery is three CE packages or one EA chapter set within six weeks of kickoff, with all agency-facing QA and sign-off remaining with your firm. Fully refunded if the pilot has not started within 30 days or you reject the first deliverable as unusable.
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.
84
Idea Score, 0-100 · raw 52.2 x 1.61
Warm
competition: more crowded than 20% of ideas · headwind x0.90
+4.6
government priorities, secondary (113 matching grants)
Trend
46
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)13
- Rounds announced 2025+ in the sector47
- Sector direction (live batch)50
- 2026 trend analyst75
Demand
47
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)67
- Operator judge: real pain75
100x potential
68
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 axis67
- Moat axis100
- Neighbours still alive42
- Technologist judge50
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 draft, check, federal, environmental, reviews, sells, state, agencies.
The idea in full
- What
- Milepost sells AI agents to US federal and state agencies that assemble NEPA-class environmental review documents: they pull prior assessments, draft the analysis, flag inconsistencies with case law and agency guidance, and track comment responses. The agents are sold through the large environmental consultancies that agencies already contract, who embed Milepost in their deliverables and build their own review workflows on its document platform. Each completed review enriches a structured corpus of precedents and outcomes that makes the next draft better - a data asset no new entrant can assemble.
- Why now
- Federal land money is moving on hard deadlines: BLM's FY26 Fuels Management and Community Fire Assistance program and its Abandoned Mine Lands and Hazardous Materials program both close 2026-08-28, and DOT's Low or No Emission Program closes 2026-09-21 - every funded project then enters an environmental review queue that agencies staff by hand today.
- Wedge: first customer and entry point
- Categorical exclusion and environmental assessment drafting for one BLM state office's fuels management projects, delivered through one incumbent consultancy partner, where a 10x cycle-time cut is measurable in one fire season.
- Path to 100x
- US environmental review and compliance consulting is a $10-100B market where every energy, transmission, and infrastructure project is gated by documents that take years to produce; an agent platform with the largest precedent corpus compounds accuracy with every review and becomes the system of record consultancies and agencies both standardize on. Platform pricing per review across thousands of federal, state, and utility projects gets to $1B+ revenue without headcount scaling.
- Ceiling
- Government sales cycles and a US-only regulatory corpus cap growth if permitting reform shrinks the review burden the product monetizes.
- Closest real companies, as the generator saw them
- none tracked
- Main risk
- Agencies bar AI-drafted documents from the administrative record after one litigated error, freezing procurement for years.
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
A precedent corpus that improves with every NEPA review, sold through incumbent consultancies, gets to platform pricing per review without headcount scaling.
Bootstrapper
3/5
Environmental consultancies already pay drafters and would resell it, but federal buying cycles and one litigated error stall cash for years.
Operator
4/5
NEPA reviews take years and agencies already pay consultancies to write them, and Milepost ships inside those existing deliverables.
Technologist
3/5
The precedent-and-outcome corpus does compound per review, but drafting NEPA documents is a retrieval plus LLM stack a rival consultancy could stand up.
Risk
2/5
Sold only through incumbent consultancies into US federal agencies, where one litigated AI-drafted document freezes procurement.
trends
4/5
Direct hit on the AI-Native Compliance Infrastructure RFS and the compliance-copilot term wave, with dated 2026 BLM grant deadlines feeding the review queue it drafts.
Similar startups in the directory
Companies whose pitch matches most of the idea's terms (draft, check, federal, environmental, reviews, sells, state, agencies): 12 all-time, 4 from the last two years. Same matching as Idea Check.
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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
NIH / NIEHS · SBIR phase I · $296K · posted 2026-07-01
- FertiliChip: An Innovative Fallopian Tube-on-Chip Model for Women's Reproductive Health Researchawardhigh relevance
NIH / NICHD · SBIR phase I · $400K · posted 2026-09-05
- I-Corps: Translation potential of a conversational Artificial Intelligence (AI) system for post-discharge patient follow-upawardhigh relevance
National Science Foundation · I-Corps · $50K · posted 2026-08-21
- I-Corps: Translation Potential of Edge-Artificial Intelligence (AI) Personalized Risk Prediction for International Travelersawardhigh relevance
National Science Foundation · I-Corps · $50K · posted 2026-08-19
- I-Corps: Translation Potential of a Privacy-Aware Stress Sensing and Conversational Companionawardhigh relevance
National Science Foundation · I-Corps · $50K · posted 2026-08-19
- I-Corps: Translation Potential of Explainable Artificial Intelligence (AI) for Satellite-Derived Nearshore Bathymetry and River Profilesawardhigh relevance
National Science Foundation · I-Corps · $50K · posted 2026-08-19
- GOALI: Machine Learning Enabled Multiscale Modeling Platform and Virtual Sensing Digital Twin for Fatigue in Metals Additive Manufacturing (MAM)awardhigh relevance
National Science Foundation · Mechanics of Materials and Str, AM-Advanced Manufacturing, Special Initiatives · $900K · posted 2026-08-18
National Science Foundation · SBIR Phase I · $305K · posted 2026-08-11
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
- Government and public sector
- Business model
- AI agent as a service
- Path to 100x
- Platform others build on
- Market size
- $10-100B market
- Capital intensity
- Capital-light (software margins)
- Speed to revenue
- Revenue in 1-3 years
- Technical depth
- Real engineering
- Go-to-market
- Partners and channels
- Moat
- Data moat
- Geography
- US first
- Regulation
- Heavily regulated
- Vibe
- Boring business
Listed under
An idea sits in its own sector and in any sector its text clearly touches.
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