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Research & analysis · Model ML pricing

Model ML pricing and Model ML cost per seat for banking and PE teams

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Thesis, bull and bear case, key metrics, comparables and risk flags, synthesized into one structured tear-sheet.

Thesis

Bull case

Bear case

This name is not publicly listed, so there is no market data to show. The card covers the thesis, both sides of the argument and the risk flags.

Key metrics

Comparables

Risk flags

Market data from public sources. Informational only, not financial advice. Qualitative card, no public market data for this name. Informational only, not financial advice.

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Small research team working at a shared desk in a bright office

Model ML does not publish a price. Its own FAQ says it "does not publish list pricing", the website has no pricing page, and every button on the homepage reads Book a demo. Pricing is set per engagement after a sales process, which is normal for an AI platform sold to investment banks, private equity firms and consultancies.

That still leaves a buyer with a budget question. The closest public reference points are its direct rivals: Rogo at about $3,300 a seat a year in third-party estimates, and Hebbia at roughly $3,000 for a lighter seat and $10,000 for a full one. Model ML adds single-tenant hosting and engineers who build custom agents for each client, both of which push a quote toward the top of that range, not the bottom.

This page sets out what we could verify about Model ML as of October 2026, what actually moves the number, how to compare it with Rogo and Hebbia, and when a priced research card for public companies is the better use of the money.

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Both sides bull and bear

Risk flags on every card

The short answer

How much does Model ML cost?

Model ML does not publish pricing. Its FAQ says there is no list price and terms are set per engagement after a demo. Comparable AI platforms for banks are estimated at about $3,300 a seat a year for Rogo and $3,000 to $10,000 for Hebbia, and Model ML adds single-tenant hosting and custom agent work, so budget at the upper end.

Why it works

What actually decides a Model ML quote

Deployment is part of the price

Model ML runs each client on single-tenant Azure, either managed by Model ML or inside the client's own cloud, and assigns forward deployed engineers to build custom agents for the firm's workflows. That is an enterprise rollout, not a seat you add with a card. Expect the quote to bundle a platform or implementation component with the per-user fee, and ask for the two to be priced separately. If your firm hosts it in its own environment, ask what that changes, since your cloud bill then carries part of the cost.

Data licenses sit on top

Model ML's own comparison material names FactSet, S&P Capital IQ and PitchBook as data sources it connects to. In this category that normally means your firm's existing data license, not data included in the AI seat. Rogo and Hebbia work the same way: PitchBook's connector for both requires your own PitchBook license. Before you compare quotes, add the data you already pay for and any new licenses the rollout assumes, because a $5,000 AI seat on top of a $25,000 data seat is a $30,000 analyst workstation.

Seat count and term set the rate

Sales-led AI platforms price on how many bankers or associates get access and for how long you commit. A pilot for one deal team is priced differently from a firmwide license, and multi-year terms usually buy a lower annual rate. Ask for the per-seat price at your pilot size and at your full-rollout size in the same quote, and for a written renewal cap. Third-party estimates for Rogo and Hebbia land between $3,000 and $10,000 a seat a year, which is a sensible range to test the quote against.

What you get

The first read Model ML expects you to bring

Model ML builds the deck, the memo and the model in your house format. Investables.ai writes the first read on a public company before any of that starts: what the business does, the key market figures and comparables, the bull case, the bear case and labeled risks, for any US ticker.

  • Writes a research card for any US ticker you type, priced on the page
  • Costs $288 a year on the annual Analyst plan, with no demo or contract
  • Lays out the bull case and the bear case side by side with labeled risks
  • Shows the key market figures and comparables behind each view
  • Adds filing summaries with links to the 10-K and 10-Q on the SEC site on the Pro plan
  • Gives a deal team five seats for $249 a month, or fifteen for $499 a month
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NVDA NVIDIA Corp.

Thesis

Dominant AI accelerator supplier. The debate is the durability of data-center demand versus a cyclical capex peak.

Bull

CUDA moat, near-monopoly share

Bear

Customer concentration, cycle risk

1D · 1Y · 52W 10-K · 10-Q 3 risk flags

Side by side

Model ML pricing next to Rogo, Hebbia and priced tools

US prices in USD. Model ML facts are from modelml.com and its published FAQ in October 2026. Rogo and Hebbia figures are third-party estimates recorded on our Rogo and Hebbia price guides, not vendor price lists.

Product Price How you buy Fine print
Model ML Quote only Demo, then a negotiated contract Single-tenant hosting, custom agents
Rogo About $3,300 a seat a year Sales contract Third-party estimate, data licenses extra
Hebbia Lite About $3,000 to $3,500 a seat a year Sales contract Third-party estimate
Hebbia Pro About $10,000 a seat a year Sales contract Third-party estimate
AlphaSense Quote Annual seat contract Broad content set, priced per seat
Investables.ai Analyst $49 a month or $288 a year Self-serve Written research card per US ticker
Investables.ai Team $249 a month or $1,488 a year Self-serve, 5 seats Shared watchlist and filing summaries
Investables.ai Enterprise $499 a month or $2,988 a year Self-serve, 15 seats 750 research cards a month

Model ML raised a $12 million seed round in February 2025, led by Y Combinator and LocalGlobe, and a $75 million Series A in November 2025 led by FT Partners. Press reports in September 2026 said it was in talks to raise more at a valuation above $1 billion; that round had not been announced as closed when we checked. Model ML says it is used by large banks, private equity firms and consultancies but names no customers publicly. We found no Model ML award in USAspending or UK Contracts Finder; the only hits for the name are equipment model numbers.

Why Investables.ai

An enterprise rollout or a card you can buy today

Model ML sells a sales-led enterprise deployment with engineers who build custom agents. Investables.ai sells a self-serve research card at a price shown on the page, from one seat to fifteen.

Both sides, every time

The bull case and the bear case sit side by side, so you weigh the argument instead of reading a single take. Informational only, never a recommendation.

Risks on the page

Valuation, concentration and regulatory risks are flagged explicitly, so the downside is visible up front rather than buried in a footnote.

Faster diligence

A structured first pass in seconds means you spend your time on judgement, not on gathering, across stocks, ETFs, crypto and startups.

Good questions

Questions about model ml pricing

No. Model ML's FAQ states that it does not publish list pricing, modelml.com has no pricing page, and the homepage only offers a demo booking. Pricing is agreed per engagement after a sales process, so the only way to get a Model ML price is to book a demo and request a written quote.
There is no public per-seat figure for Model ML. The nearest benchmarks are its rivals: third-party estimates put Rogo at about $3,300 a seat a year and Hebbia at $3,000 to $10,000. Model ML adds single-tenant hosting and custom agents built by its engineers, so a quote toward the upper end of that range is realistic.
Neither company publishes prices, so nobody can say for certain. Rogo sells a research-centric platform with live data connections, while Model ML focuses on producing client-ready decks, memos and Excel models in a firm's house format, with engineers who build custom agents. That extra deployment work usually means a larger contract, so get both quotes at the same seat count.
Hebbia is the one with third-party price estimates: about $3,000 to $3,500 a seat a year for a lighter tier and about $10,000 for a full seat. Model ML has no public figures. Hebbia is built around searching and analyzing large document sets, while Model ML is built around producing finished deliverables, so price them against the job you need done.
Model ML does not advertise a self-serve free trial. Access starts with a demo booked through its website, followed by a scoped engagement. Firms that want to test it typically negotiate a pilot for one team or one deal, so ask for the pilot price, length and success criteria in writing before you commit.
Model ML is worth pricing for a bank, PE firm or consultancy whose juniors spend many hours a week formatting pitch books, memos and models, because that is the work it automates. It is hard to justify for an individual investor or a two-person fund that mostly needs a view on public companies rather than client deliverables.
Investables.ai costs $49 a month or $288 a year on the Analyst plan and returns a structured research card per US ticker with the business summary, key market figures, comparables, bull case, bear case and risks. Team is $249 a month for five seats. It does not build decks or Excel models the way Model ML does.
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