Public-good infrastructure for sustainable ocean governance.
Pélagos builds and operates the Fisheries Intelligence Platform (FIP) ,
the open intelligence layer for American fisheries.
Pre-Seed Round · $1M · Hybrid SAFE + PRI / Grant
Aaron Kornbluth CEO & Co-Founder Purcie Bennett-Nickerson, JD Co-Founder Stephen "Steve" Poland Co-Founder Jake Spencer Co-Founder
Video: Stephen Pierce / Pexels, drone aerial, fishing boats in port, Pacific Northwest · Still: Phil Evenden, Chatham Harbor, MA
02 / 18
Why This Matters
Healthy fisheries sustain coastal communities.
The system that governs them runs on spreadsheets and institutional memory.
38M
Americans fish recreationally each year
1.7M
Jobs depend on commercial & recreational fisheries
8
Regional Fishery Management Councils
2007
Last MSA reauthorization, workflow tools unchanged since
Eight Regional Fishery Management Councils, NOAA Fisheries, and 50 state agencies collectively manage hundreds of fish stocks affecting billions of dollars in coastal economic activity, and the human well-being of the communities those fisheries support.
When the system runs slow, fisheries close late, allocations stay stuck, and the small fishing communities that depend on healthy stocks bear the cost.
Council decisions, stock assessments, public comments, NEPA documents, and management actions are scattered across agency portals, static management-body websites, internal spreadsheets, and decades of institutional memory.
There is no unified system for tracking how fisheries decisions are made, who participated, what science was cited, what alternatives were considered, what the public said.
This opacity disproportionately affects under-resourced communities: small commercial operators, recreational anglers in fishing-dependent communities, Tribal nations, and conservation NGOs without budgets for full-time policy staff.
Without a transparency layer, public-comment campaigns repeat themselves, precedent gets re-litigated, and equity gaps in who gets heard widen.
This is a structural injustice. Better infrastructure can directly address it.
Photo: Mark Stebnicki / Pexels, North Carolina oyster farm
04 / 18
Pélagos as Public-Good Infrastructure
The open intelligence layer that makes fisheries governance legible, navigable, and equitable.
Fisheries Intelligence Platform (FIP)
The federated parent layer. Ingests, structures, and connects the public record of U.S. fisheries management, every council, every amendment, every stock assessment, every public comment, and (via crowdsourced pipelines) every fishing report posted to social media.
FMP Intelligence Tracker, every council action from scoping through implementation, with regulations.gov / Federal Register comment ingestion, SEDAR linkage, workplan tracking, and natural-language query across the full regulatory history.
Tournament & Harvest Monitor, mobile catch reporting for state agencies and tournament organizers, with photo-AI species ID, real-time leaderboards, and structured harvest data that calibrates MRIP.
NEPA Efficiency Toolkit, boilerplate library, document-reuse intelligence, AI-drafted Environmental Assessment sections grounded in historical precedent for Magnuson-Stevens actions.
Vessel Intelligence & Compliance Monitor, AIS / VMS / permit / environmental data fused into a fleet-behavior prediction and enforcement-alert engine for NOAA OLE, Coast Guard, and state marine patrol.
Cross-Council Knowledge Exchange Forum, structured asynchronous knowledge sharing across all eight Regional Fishery Management Councils, so each one stops independently reinventing what the others have already solved.
Photo: William Lucord / Pexels, Nags Head pier, North Carolina Outer Banks
05 / 18
The Network-Effect Engine
Two cross-cutting layers turn the products into a platform.
Each product is sellable on its own. The cross-cutting layers are what make the whole worth more than the sum of its parts.
Federated Intelligence Layer, the network-effect engine. Aggregates de-identified metadata across product deployments to produce cross-council dashboards, predictive analytics, and federal-level transparency views. As more councils deploy individual products, the intelligence layer becomes exponentially more valuable.
Social Media & Crowdsourced Intelligence Pipeline, Facebook, Instagram, Reddit, and iNaturalist ingestion with NLP species/location/effort extraction. Feeds harvest calibration (Tournament Monitor), enforcement intel (Vessel Intel), sentiment landscape (Engagement Engine), and earliest-signal trend detection across the FIP.
FREE PUBLIC TIER
Core public-transparency features at no cost to advocacy NGOs, Tribal nations, journalists, and small operators.
EARNED REVENUE TIER
Paid subscriptions for councils, federal agencies, law firms, and industry associations, funding the public tier's continued operation.
Photo: Alan Patrick / Pexels, recreational/charter boat, Palm Beach, Florida
05b / 18
Federation Coverage
One record, every council it touches.
Most fisheries decisions don't live inside a single council. The right whale rule, the Magnuson reauthorization, the menhaden compact, each spans three, four, eight bodies at once. The FIP indexes them that way from day one.
Court cases spanning ≥ 2 bodies NMFS challenges visible to every council whose stocks are affected
14
Federal bills touching all 8 councils Magnuson reauth, Forage Fish Conservation Act, Recreational Fisheries Mgmt Act
Worked example: the NARW vessel-strike rulemaking
5,080 public comments arrived on a single day, on a single docket, every one a near-verbatim variant of one shared template. The rule itself crosses NEFMC, MAFMC, SAFMC, and HMS jurisdiction simultaneously. In any single-council tracker, those comments would land in one bucket and be invisible to the other three. FIP federates them: every comment is queryable from every council it affects.
No other tracker does this. Every cross-cutting issue we ingest gets an array of body codes, body_codes[], so the same row surfaces in every relevant council's dashboard.
Photo: Chris LeBoutillier / Pexels, North Atlantic right whale, surface feeding
06 / 18
The Platform Already Exists
This is not a deck dream. It's running today.
2,340
Council actions tracked amendments, frameworks, regulatory actions
68,520
Public comments in corpus AI-clustered themes & positions · 62,425 from regulations.gov across 374 dockets, the rest from council records · pipeline has enumerated 294,877 more across 2,535 dockets, ingesting daily
1,607
Unique stock-year assessments 34 years coverage · 237+ stocks · SEDAR + StockSMART · 3,598 underlying records
30+ years of council deliberations indexed and searchable, verbatim hearing transcripts broken into 3 million+ semantically-chunked passages with action and species cross-links.
FIP is the federated index for the U.S. fisheries stack, designed to ingest every council, every FMP, every amendment, every SEDAR assessment, and every public-comment corpus. See the live coverage matrix →
SAFMC FMP Tracker is the first public-tier demo deployment of the FIP, 11 ongoing SAFMC actions live, with real public comments, AI-summarized themes, and council-meeting linkage. Visit safmc-fmp-tracker.onrender.com to see it.
What no one else is doing
Beyond ingestion, the FIP runs network-detection on the public record, surfacing patterns that a human reading regulations.gov one comment at a time would never see.
Federal staff have no way to see this today. The FIP makes it routine.
Zero workflow change for the people we serve
Council staff, NOAA scientists, SEDAR coordinators, and Advisory Panel / Scientific & Statistical Committee members do not have to learn a new tool, change how they file documents, or send us anything. The FIP picks up their public work product where they already publish it, 30+ scheduled jobs ingest from regulations.gov, the Federal Register, SEDAR, council briefing books, NOAA FishWatch, the Atlantic States Marine Fisheries Commission, USAspending.gov, the NOAA Climate Data Online API, and 16 other sources on weekly, biweekly, and quarterly cycles, then parse, link, and publish back as a single navigable intelligence layer.
We meet practitioners where they already are. Adoption costs them nothing because they're not the adopter.
Stats above pull live from the FIP public-stats API when reachable; otherwise placeholders shown.
Funding does not build the platform. Funding lets us harden, scale, and operate it as a durable public-good utility.
Video: James Anthony / Pexels, fishermen working on a Maine fishing boat · Still: Beth Fitzpatrick, Petersburg, Alaska commercial dock
07 / 18
Why This Team
Fisheries practitioners who built the technology themselves.
This is not a tech team learning fisheries. This is a fisheries team that built the technology.
20+ years at the intersection of fisheries science, policy, and stakeholder engagement. Principal of akorn environmental consulting. Lead architect of the platform.
Purcie Bennett-Nickerson, JD
Co-Founder & Chief Policy Officer · Secretary
18+ years environmental law; deep MSA / NEPA / ESA / MMPA expertise. Currently the contracted SAFMC governance reviewer. Architect of NEPANav.
Stephen "Steve" Poland
Co-Founder & Chief Science Officer · Treasurer
15+ years in fisheries management, stock assessment, and council process across the Atlantic and Gulf coasts (SAFMC, MAFMC, GMFMC, ASMFC, GSMFC). Industry-trusted in commercial and recreational sectors; principal of Cynoscion Environmental Consulting; drives TournamentOS design and the commercial-fisheries data architecture.
Jake Spencer
Co-Founder & Chief Technology Officer
R&D and product engineering. Partners with Aaron on the platform stack.
Video: James Anthony / Pexels, Maine fishing village · Still: Phil Evenden, Massachusetts waterfront
08 / 18
Hybrid Funding Model
A sustainable mission-aligned business, not a venture moonshot, not a grant-dependent NGO.
Earned revenue (SaaS, agencies)
60–70%
Philanthropic capital (foundation grants, PRIs)
20–30%
Government contracts (NOAA, state, Sea Grant)
10–20%
Pricing is the pressure that keeps the product useful. Foundations fund the public tier and the equity gaps; earned revenue funds the rest.
Durable revenue ceiling: $1.5–3M ARR as a sustainable mission-aligned business, not the $50M+ ARR a venture investor would underwrite.
Photo: Mark Stebnicki / Pexels, North Carolina working harbor
09 / 18
Theory of Change & Impact Metrics
From philanthropic capital to healthier fisheries, measured at every step.
Inputs→Activities→Outputs→Outcomes→Impact
Stage
What it looks like
Inputs
Philanthropic capital · founder expertise · existing platform
Activities
Ingest the public record of fisheries governance · surface decisions, science, and stakeholder voices in real time · train AI tools that draft NEPA documents 10× faster
Outputs
Public-tier users reached · underserved communities served · NEPA documents drafted · council actions made transparent · cross-council comparisons surfaced
Outcomes
Reduced time from science to management action · increased public participation · more defensible NEPA decisions · equity gains for under-resourced participants
Impact
Healthier fish stocks · more resilient coastal communities · more legitimate fisheries decisions
We do not promise stock recovery. We promise process improvement that enables stock recovery, and we measure the process improvement.
Video: Derrick Smith / Pexels, drone aerial of coastal grass · Still: Jonathan David, salt marsh waterways, Virginia
09b / 18
A Level Playing Field
Right now, the best-resourced voice wins. That isn't how the process is supposed to work.
Federal fisheries law promises every American a seat at the table, the small-boat captain in Sneads Ferry, the charter operator in Destin, the Tribal nation, the family processor. In practice, the players who can afford full-time lobbyists and lawyers see the record clearly. Everyone else is reading it through a keyhole.
The gap is access to information, not the right to participate
The well-funded already have this. Large industry associations and national NGOs run staff whose entire job is tracking dockets, decoding amendments, and timing comments. Pélagos doesn't take that away, it gives the same vantage point to the people who can't hire it.
Same record, same tools, no gatekeeper. The free public tier puts the full regulatory history, plain-language summaries, and natural-language search in the hands of independent fishermen, Tribal resource managers, journalists, and rural coastal communities, at no cost.
This is a both-sides value. A working waterman keeping more of his catch, a community defending its livelihood, and a citizen who wants government to be legible all want the same thing here: a process that's open, honest, and not rigged toward whoever has the deepest pockets.
Transparency isn't partisan. A fairer hearing for the small operator and a more legitimate, defensible decision for the agency are the same outcome, and Pélagos delivers both.
Equity here means equality of access to the public record, not redistribution of fishing rights. The fish, the quotas, and the law don't change; who can see and engage the process does.
Photo: Quang Nguyen Vinh / Pexels, independent commercial fisherman hauling nets at dawn
10 / 18
Federal Tailwind
NOAA is asking Congress for funding to build exactly this.
From NOAA's FY 2027 Operations, Research, and Facilities budget request, Program Increase Exhibit 13.
"Scope options for programmatic permits and consultations, and AI tool development, in collaboration with Federal agency partners and IT professionals … develop and test AI tools to facilitate aquaculture permitting … deploy the AI tools in one additional region annually; assess these tools and conduct necessary upgrades and maintenance."
, Department of Commerce / NOAA, Program Increase for 2027, Exhibit 13
What this signals to funders
Federal demand is on the record. NOAA itself is putting AI-for-permitting in front of Congressional appropriators, a public commitment that this is the direction the agency is going.
Pélagos is positioned to be the partner, not the competitor. NOAA's request asks for Federal agency partners and IT professionals to scope the work. We are already inside the entire fisheries-management ecosystem with running infrastructure.
Aquaculture permitting is a beachhead. The same NEPA / programmatic-permit machinery applies to FMP amendments, EFH consultations, and ESA Section 7, the entire fisheries regulatory stack.
Source: U.S. Department of Commerce, NOAA Operations, Research, and Facilities, FY 2027 Program Increase request, Exhibit 13.
Video: D Goug / Pexels, American flag against blue sky
11 / 18
Funder Partner Profile
We are not cold-calling. The team has already won grants from these funders.
Across the four co-founders' prior work, this team has secured $13M+ in named, documented awards from organizations whose portfolios align directly with Pélagos' mission. Receipts, not rapport.
NOAA Sea Grant / National Sea Grant program, academic and government partnerships; the science-synthesis layer aligns directly.
Closer-in / family-office partners, for SAFE-shaped philanthropic capital that combines mission alignment with light-touch financial return.
Purcie Bennett-Nickerson (BNEC), Stephen Poland (Cynoscion), and Jake Spencer bring additional grant and contract receipts from prior environmental-law, fisheries-management, and engineering work; full founder-by-founder breakdown available on request.
12 / 18
Roadmap
Y1 harden the platform. Y2 scale public access. Y3 durable hybrid revenue + national footprint.
Phase
Milestones
Months 1–6
Lock down platform reliability (SOC 2, public-tier hosting). Free public access to FishTrack AI and SciencePulse for verified Tribal nations, advocacy NGOs, and small operators.
Months 7–12
First two council licensing partnerships (target: SAFMC + MAFMC). NEPANav private beta with 5–10 council/agency partners.
Months 13–24
Public tier reaches scale. Council coverage to all 8 regions at depth-parity. First federal contract.
Year 3+
Durable hybrid revenue model. International scoping (Caribbean RFMO, Canadian DFO partnerships). Open data partnerships with academic researchers.
Two tranches: a $146K bridge for Months 1–6, plus $854K for the 18-month build-out, $1M total.
Tranche 1: Bridge ($146K, Months 1–6)
Covers immediate team time, formation, and the data-source / architecture work that's already running. The bridge lets us close the main round from a position of strength, not exhaustion.
Itemized spend totals $509K across Months 7–18 (Team comp $377K · Legal/IP $28K · Infra $27K · Travel/BD/marketing $32K · Contingency $45K). The remaining $345K is runway buffer to carry through Month 24, weather one slipped quarter, and hire a second engineer when the first paid council partnership signs.
Bridge dollars roll into the main close on the same SAFE/PRI terms, no separate paperwork, no separate cap. We'll come back for Series Seed at $1.5M+ at Month 18, with paid council revenue in hand.
Photo: Erik Mclean / Pexels, fishing boat with buoys, foggy New England harbor
14 / 18
The Ask
$1M total
$146K bridge + $854K main close. Pre-seed, hybrid structure: SAFE-shaped capital and/or program-related investments / grants.
$146K bridge covers Months 1–6: team time, formation, IP, and interim platform ops while we close the main round. Bridge dollars roll into the main close on the same SAFE/PRI terms.
$854K main close on a YC post-money SAFE at $8–10M cap for traditional investors, or PRI/grant structure on equivalent economics for foundation funders.
Co-investment welcome, actively seeking a lead and 2–3 mission-aligned co-investors.
What this funding buys
18 months of platform operations · public-tier expansion · first two council partnerships executed · NEPANav in private beta with real council users · Series Seed-readiness ($1.5M+) by Month 18 with real council revenue in hand.
15 / 18
Risks & Mitigations
The honest version.
Foundations and investors both spot platitudes faster than venture associates do.
Risk
Mitigation
Adoption risk, council/agency procurement is slow.
Three of four founders work inside the council system today. Purcie's active SAFMC contract is the warm-start. We are not cold-calling our way in.
Single-customer concentration, early agency contracts.
Deliberately balancing SaaS, agency, and licensing revenue from Day 1, with the public tier as a non-revenue but credibility-building user base.
AI accuracy and trust, NEPA drafting.
NEPANav is positioned as draft-assistance, not autonomous generation. All output is human-reviewed; council staff retain editorial control. We publish our evaluation methodology.
Founder time, three of four founders run other consulting firms.
Wind-down timelines tied to revenue inflow. Founder agreements in flight with counsel; written allocations transparent to funders.
Data licensing, vessel-tracking AIS.
Actively scoping commercial-clean alternatives (Spire, MarineTraffic). We do not ship products dependent on non-commercial-only data sources.
Regulatory political risk, NOAA priorities shift.
Platform value compounds across administrations. Under-resourced communities and small operators benefit regardless of who runs NMFS.
Third-party AI-vendor dependency, a model could be restricted, repriced, or deprecated (e.g. the June 2026 federal export-control action on a frontier model).
No dependency on any single frontier or export-controlled model, the platform runs on widely-available, general-purpose models (Anthropic for reasoning, OpenAI for embeddings) plus our own AWS archive. We are centralizing model calls behind one provider interface so any component can be swapped for an alternate or open-weight vendor as the market shifts. Critically, the source corpus lives in our own cloud, not a vendor silo, so our defensible asset survives any model change.
16 / 18
Why Now / Why Us
Three things have to be true at once. They are.
Condition 01
The data is finally tractable.
NOAA, the eight Regional Fishery Management Councils, every regional stock-assessment program (SEDAR, NEFSC, SEFSC, AFSC, NWFSC, PIFSC, SWFSC), the interstate marine fisheries commissions (ASMFC, GSMFC, PSMFC), and the 23 coastal state agencies have all moved enough public records online that a comprehensive index is feasible for the first time.
Condition 02
AI capabilities are ready.
Domain-specific summarization, NEPA drafting, and cross-council pattern detection have moved from research demos to production reliability in the last 18 months.
Condition 03
The political environment demands transparency.
Across administrations, fisheries decisions face pressure to be more legible and more participatory. The platform is not a partisan asset.
And: the team has the receipts. Council seats held, NEPA documents drafted, contracts executed, codebase built. We are not pitching a plan. We are pitching an operating utility, and the partners to scale it.
Photo: Mark Stebnicki / Pexels, North Carolina oyster farm at coastal pier
17 / 18
Federal Readiness Posture
Built with federal procurement, security, and data-handling constraints in mind from day one.
The FIP is designed for the compliance envelope agency partners actually operate in.
Compliance roadmap
Honest stance: we are a four-person team at pre-seed. We have not paid for a SOC 2 audit yet. We have made architecture choices today that keep every gate below within reach as the funding arrives and the customer demands materialise. Specific dates will be set against a real customer commitment, not back-fit to a deck.
Control
Path
Today
SOC 2
Type I scoping on the seed-funding milestone path; Type II auditor engagement contingent on first paid council contract.
Architecture decisions today (encryption at rest, role-based access, audit logging) are SOC 2 compatible.
FedRAMP, Tailored / Li-SaaS
Authorization sponsor sought through agency partnership conversations; pursued only when a federal customer requires it.
Single-tenant deployment option, US-region cloud, and audit logging keep the FedRAMP path open.
Section 508 / WCAG 2.1 AA
Public-tier conformance is a non-negotiable for the free public tier.
Production code targets WCAG 2.1 AA; full audit prior to public launch.
Privacy Act / SORN posture
Per-deployment SORN review where any PII is collected (Stakeholder Engagement Engine).
Engagement Engine is opt-in, consent-tracked, and PII-segregated by design.
NIST SP 800-171
Self-assessment scoped for when council pre-decisional content (CUI) first enters the system.
Currently no CUI in scope; control list drafted.
Records retention
Aligned with NOAA Directive 205-12 and council records schedules.
Archive and audit-log architecture already designed.
Data-handling architecture
Public tier, only data already in the public domain (regulations.gov, Federal Register, council briefing books, SEDAR public assessments, FOSS landings, FishWatch). No restriction; no isolation needed.
Council pre-decisional tier, encrypted at rest, single-tenant per council, role-gated access, full audit trail. Never crosses into the public tier or the federated intelligence layer except as voluntarily released by the council.
CFR Title 50-confidential VMS data, the Vessel Intelligence product is on the roadmap and is gated on a NOAA data-use agreement before any vessel-level fusion goes live. Aggregated, anonymized fleet patterns only flow upstream from confidential sources.
Stakeholder PII, Engagement Engine collects names, contacts, and recorded interview content under explicit per-interview consent; PII is stripped before any cross-deployment aggregation reaches the federated layer.
A full architecture diagram, control matrix, and data-flow specification is available under NDA for partnership conversations.
The category has been validated, but not for fisheries.
Federal labs are productizing AI for environmental review. None are doing it for fisheries.
In 2025, Pacific Northwest National Laboratory (PNNL) launched PermitAI™, a Department of Energy-backed platform applying large language models to NEPA environmental reviews for energy infrastructure. Its tool suite (SearchNEPA, ChatNEPA, CommentNEPA, WriteNEPA, EngageNEPA) targets exactly the workflow the FIP targets.
Capability
PermitAI (PNNL / DOE)
FIP (Pélagos)
Statutory framework
NEPA
Magnuson-Stevens
Corpus
EIS / EA (energy infrastructure)
FMPs, amendments, SEDAR, briefing books
Comment analysis
CommentNEPA, pre-commercial
FMP Tracker AI Themes, deployed, citable
Stakeholder engagement
EngageNEPA, in development
SAFMC Interview System, operational
Regulatory drafting
WriteNEPA, commercializing 2026
FMP amendment auto-draft, roadmap
Evaluation framework
NEPABench / DraftNEPABench (open)
FMPBench (planned, MAPLE-derived)
Status
Licensing partners being courted
Council deployments live
PermitAI validates the category. Fisheries is a defensible vertical they are not coming for. We track their open evaluation frameworks (MAPLE v2, DraftNEPABench, BSD-licensed) and plan to adapt them into a fisheries-specific benchmark suite.
18 / 18
PÉLAGOS
Healthy fisheries. Healthier coastal communities. A more legible system for everyone who depends on it.
Video: Jaxon Matthew Willis / Pexels, drone over fishing pier at sunrise, South Carolina · Still: Erik Mclean, foggy fishing vessel, New England coast
Appendix
Ingestion & Provenance
How material enters the corpus, with provenance.
Every document is license-gated, deduplicated, dual-stored, and traceable: from raw source to a provenance-cited answer in the FIP AI chat.
🏛01 · Sources
The governance record
Federal Register, the 8 councils, interstate commissions, SEDAR, NOAA, regulations.gov, and the peer-reviewed literature. Alongside the documents, a structured layer of 6.7 million federal statistical facts: NOAA FOSS seafood foreign trade by product, partner country and US customs district back to 1972, plus BLS, Census, BEA, HUD, CDC and EPA series keyed to coastal counties.
📡02 · Fetch
Resilient capture
Per-source ingesters pull the originals. Headless-browser and Wayback fallbacks defeat 403s, blocks, and link rot.
⚖️03 · License gate
Commercial-safe by design
A default-deny rights check at ingest, plus a per-document copyright-language scan. Public-domain, per-item, or blocked.
Copyright-gated
⚙️04 · Canonical spine
One path: ingestDoc
Dedupe, extract, and stamp provenance in a single shared function. Text, then OCR, then vision for scanned pages and figures.
No divergent paths
05 · Storage, three ways
🗃️
S3 originals
Source bytes preserved verbatim. Link-rot-proof and re-processable.
📄
Postgres record
Text, metadata, dates, rights, and full provenance.
🧺
RAG chunks
Embedded vectors for semantic retrieval.
🔗06 · Enrich
Experts and citations
Entity extraction builds the expert graph. Reference-mining harvests each bibliography into new document candidates.
Feeds the growth loop
💬07 · FIP AI chat
Provenance-cited answers
Hybrid vector-plus-lexical retrieval. Every answer is source-cited, rights-aware, and callable on demand.
🔄
Growth loop. Mined references become new source candidates, so the corpus compounds itself on the road to 1,000,000 documents.
Dupe checker.Content-hash blocks byte-identical re-ingests before they bloat the corpus.
Provenance at ingest.Source URL, extraction method, dates, and rights on every row.
Originals retained.The S3 copy survives source link rot and enables re-processing.
License audit.A recurring corpus-wide re-scan as content grows.