Tome pricing

About

Tome was an AI-native presentation and storytelling app — type a prompt, and it generated a full multi-tile deck (“a tome”) with copy, layout and imagery, positioned as an AI-first alternative to PowerPoint and Google Slides. It was founded in San Francisco in 2020 by Keith Peiris and Henri Liriani (both ex-Facebook/Instagram, incubated as Greylock entrepreneurs-in-residence) and launched publicly in March 2022. It became one of the fastest productivity tools to reach a million users and grew to roughly 20 million users by early 2024.

On paper Tome was a hit: it raised about 81 million dollars total — a ~6.3M-dollar Seed (Greylock), a 26M-dollar Series A led by Coatue (~175M-dollar valuation), and a 43M-dollar Series B led by Lightspeed in February 2023 at a roughly 300-million-dollar valuation. But the business never followed the user growth: with most of its millions of users on the free tier, revenue stayed under about 4 million dollars. In April 2024 Tome laid off about 20% of its 59-person team and refocused on sales/marketing, in March 2025 it announced it was sunsetting the presentation product, and on 2025-04-30 the AI deck product (Tome Slides) shut down. The founding team’s technology evolved into Lightfield (an AI-native CRM / sales-intelligence product), and AngelList acquired the Tome brand and document-AI tech in April 2025.

This page is therefore a post-mortem: it documents the historical AI-credit pricing arc and the pivot. The deck product is gone, and tome.app now returns a 404. For the most current information, visit Tome.

Pricing summary : How Tome’s pricing model worked

Tome’s AI presentation app was freemium + per-seat subscription with AI credits underneath. The Free tier gave 500 AI credits per person per month plus basic templates — roughly enough for about 5 AI-generated presentations before the credit meter ran out. Pro, the main paid tier, cost roughly $16/user/month billed annually (about $20/user/month billed monthly) and removed the credit cap — “unlimited AI credits”, unlimited creation, branded tomes, custom fonts and engagement analytics. Enterprise ran about $40/user/month, adding SSO, admin controls and API access for larger orgs.

The mechanic that defined Tome was the credit-to-unlimited jump: free users were metered in credits (a soft consumption wall at 500/month), and the upgrade pitch was simply buy out the meter — pay a flat per-seat price and stop counting credits. That made the free cap the conversion trigger rather than a feature gate.

What makes this different: Tome shows the failure mode of freemium-plus-credits at consumer scale. The credit meter drove huge top-of-funnel adoption (about 20 million users) but a flat ~$16/seat Pro never converted enough of them — revenue stayed under about 4 million dollars, the deck product was sunset on 2025-04-30, and the team pivoted to B2B AI sales. The pricing was clean; the monetization math wasn’t.

Pricing by product

Sales motions across products: self-serve PLG for Free and Pro (sign up, generate decks, upgrade when the 500-credit meter runs out), and sales-led for Enterprise (SSO, admin controls, API, custom integration). The whole funnel is now historical — the AI deck product was sunset on 2025-04-30 and tome.app returns a 404.

Hidden costs : What Tome users actually paid

Tome’s “hidden cost” was the credit cliff, not overage billing. The Free tier’s 500 credits/month sounds generous, but with roughly one credit per AI generation/edit, a single richly-edited deck could burn through dozens of credits — so heavy users hit the wall after about 5 decks and effectively needed Pro. There was no metered overage to top up free credits; the only path past the cap was the flat per-seat Pro (unlimited credits). The other cost was per-seat multiplication on teams: Pro and Enterprise were priced per user, so a team’s bill scaled linearly with headcount even though only some seats were heavy creators.

Want to estimate your own Tome bill? Use the Tome pricing calculator to model historical costs by plan and seat count.

The biggest hidden cost was strategic, not line-item: when Tome sunset Slides on 2025-04-30, decks that weren’t exported were lost — a reminder that “free forever” credits sit on top of a business that has to survive. Effective per-deck figures above are computed from third-party-reported prices and are illustrative, not billed rates.

Pricing evolution : Tome pricing history and changes

Cadence

Tracked range: 2022–present. Reported Pro prices vary across the product’s life (roughly 8 dollars early, commonly 16 dollars, some 2024 listings 20 dollars/user/month), so the figure is given as a range; the meaningful “change” is the 2025 sunset, not a price move. tome.app now 404s, so there is no current price page to track.

Notable changes

• 2022 — Launched freemium AI deck product: Free 500 credits/mo (~5 decks), Pro ~8 to 20 dollars/user/mo (unlimited AI credits), Enterprise ~40 dollars/user/mo (SSO, API). One credit roughly equalled one AI generation.
• 2024-04 — After hitting ~20M users / ~300-million-dollar valuation but under ~4-million-dollar revenue, Tome cut ~20% of staff and refocused on sales/marketing teams; tiers unchanged.
• 2025-03 to 2025-04-30 — Announced and then sunset the presentation product; pivoted to an AI sales assistant, spun the tech into Lightfield, and AngelList acquired the Tome brand.

What’s unique : Tome’s distinctive pricing mechanics

1. Credits as a free-tier meter, not a paid currency.

Unlike credit tools that meter you all the way up (buy more credits as you go), Tome only metered the Free tier (500/month). Paid Pro didn’t sell credits — it abolished the meter (“unlimited AI credits”). So credits were purely a free-tier governor and conversion trigger, not a revenue line.

2. Buy-out-the-meter upgrade pitch.

The entire upgrade story was “stop counting.” A free user who hit the 500-credit wall didn’t top up — they moved to a flat ~$16/seat Pro with unlimited generation. That’s a clean PLG conversion mechanic, but it meant every paying user cost the same regardless of how much they generated.

3. Per-seat pricing on a consumer-scale product.

Tome charged per user (Pro ~$16, Enterprise ~$40) on a product that grew like a consumer app to about 20 million users. The mismatch — consumer-scale free adoption, B2B per-seat monetization — is exactly what failed: huge free base, thin paid conversion, revenue under about 4 million dollars.

4. A pricing post-mortem, not a live page.

The most distinctive thing about Tome’s pricing today is that there isn’t any — the deck product was sunset 2025-04-30 and tome.app 404s. The pricing arc is preserved here as a cautionary case in freemium-plus-credits monetization.

Strengths & weaknesses

Billing UX : Tome billing controls and transparency

• Billing controls — Self-serve signup and upgrade for Free and Pro (monthly or annual, ~$16 vs ~$20/user/mo), with Enterprise moving to a sales-led, quoted contract. Plans were per-seat, so the main control was how many user seats you licensed.
• Usage visibility — The Free tier surfaced a credit balance (500/month) so users could see how close they were to the cap; Pro was unlimited, so paid users had little ongoing usage to monitor. Engagement analytics (deck views) were a Pro feature, not a billing meter.
• Payment options — Self-serve card billing for Free and Pro; Enterprise invoiced under a custom contract. With the product sunset on 2025-04-30, billing has ended — tome.app returns a 404 and the deck product no longer sells.

Strategic wins : Why Tome’s pricing decisions worked (for a while)

1. A generous free tier drove viral growth

500 AI credits/month let anyone generate real decks for free, which fuelled one of the fastest climbs to a million (then about 20 million) users in productivity-tool history. The free credit allowance was a genuine growth engine. See how AI companies structure pricing.

2. “Unlimited AI credits” removed bill-shock from the upgrade

By making Pro a flat per-seat unlimited plan rather than a metered top-up, Tome removed the fear of a runaway AI bill — the upgrade was a single predictable ~$16/seat decision. Related: bill shock and cost unpredictability.

3. The annual-vs-monthly spread nudged commitment

Pricing Pro at ~$16/user/mo annual against ~$20 monthly (about a 20-25% discount) pushed self-serve users toward annual commitment — a standard but effective lever. See choosing the right usage metric.

Areas to improve : Gaps in Tome’s pricing approach

1. No expansion revenue from heavy users

Because Pro was flat “unlimited credits”, a power user generating hundreds of decks paid the same ~$16 as a light user. There was no usage-based upside to capture value from the heaviest (and most engaged) accounts — a structural cap on revenue per seat. See outcome-based pricing trends.

2. Consumer adoption, B2B monetization mismatch

Per-seat pricing assumes a workplace buyer, but Tome grew like a consumer app. Most of the roughly 20 million users were individuals who never converted, so per-seat economics never matched the audience — and revenue stayed under about 4 million dollars.

3. The credit cliff lacked a middle step

The jump from 500 free credits straight to “unlimited” Pro left no light-paid tier for occasional creators who needed a bit more than free but not unlimited. A small credit-pack or a cheap mid-tier might have converted the long tail that churned at the cap.

Key takeaways

1. Free credits buy growth, not revenue. Tome’s 500-credit free tier drove about 20 million users, but a generous meter that converts poorly leaves revenue under about 4 million dollars.
2. Metering only the free tier caps your upside. Pro’s “unlimited AI credits” removed bill-shock but also removed any expansion revenue from heavy users — every paid seat earned the same ~$16.
3. Match the monetization model to the audience. Per-seat B2B pricing on a consumer-scale viral app is a mismatch; the buyer and the user weren’t the same person.
4. A missing mid-tier is a churn leak. The cliff from 500 free credits to flat-unlimited Pro left occasional creators with no affordable next step.
5. Pricing can be clean and the business still fail. Tome’s 3-tier freemium was legible and well-designed — yet the deck product was sunset on 2025-04-30 because the unit economics never closed.

UBP implications

1. A credit meter is a conversion tool, not just a billing tool. Tome used 500 free credits purely to trigger upgrades — proof that usage caps can drive PLG conversion even when paid plans aren’t metered. See usage-based pricing strategy.
2. Flat “unlimited” plans forfeit expansion revenue. When you abolish the meter at the first paid tier, you trade predictability for a hard ceiling on revenue per account — a real cost in high-usage AI products.
3. Usage caps must align with willingness to pay. Tome’s huge free audience never had per-seat willingness to pay; a usage meter only monetizes if the metered users are buyers — a core lesson for any consumer-facing AI tool.

Sources

• Tome (tome.app) (accessed 2026-06-11) — now returns HTTP 404; deck product sunset
• Tome Pricing 2026: 3 Plans from Free to 40 dollars/user/mo — CostBench (accessed 2026-06-11) — Free $0 (500 credits), Pro $16/user/mo ($192/yr), Enterprise $40/user/mo
• Tome.app Pricing — SaaSworthy (accessed 2026-06-11) — Free 500 credits/mo; Pro $16/mo annual / $20/mo monthly; Enterprise $40/user/mo
• Tome’s founders ditch viral presentation app with 20M users to build Lightfield — VentureBeat (accessed 2026-06-11) — 20M users, under 4-million-dollar revenue, pivot
• What Happened to Tome AI? Shutdown Timeline — Deckary (accessed 2026-06-11) — Slides sunset 2025-04-30
• Tome AI: A 2025 Deep Dive into the Dramatic Pivot — Skywork (accessed 2026-06-11) — ~300-million-dollar valuation, AngelList brand acquisition

Bottom line

Tome was an AI-native presentation app sold freemium + per-seat with AI credits — a Free tier at 500 AI credits/person/month (about 5 decks), a Pro tier at roughly $16/user/month annual (about $20 monthly) that bought out the credit meter for unlimited AI generation, and an Enterprise tier around $40/user/month with SSO and API access. The credit cap was the conversion trigger and the design was clean, but the unit economics never closed: about 20 million users and a roughly 300-million-dollar valuation produced under about 4 million dollars in revenue, so Tome sunset the deck product on 2025-04-30 and pivoted to AI sales (Lightfield), with AngelList acquiring the brand. tome.app now returns a 404, so this is a post-mortem rather than a live price page. Browse the pricing blueprint for more fully-researched company profiles.

Want to compare Tome against other AI creative and productivity companies? Browse the pricing blueprint.