Pecan AI Review (2026)Priced by Prediction Batches, Not Seats
The pricing page argues instead of quoting.
Visit Pecan AI → Affiliate link — the rest of this page is the honest version, including who should skip it.
Pricing (2026)
✓ Pricing re-verified 27 Aug 2026
- Starter — quoted — talk to salesgetting your first model live: 2 prediction batches a month, 500M rows of storage, in-app support
- Team — quoted — talk to salesrunning predictive across the team: 10 batches a month, 2Bn rows, plus Essential enablement
- Business — quoted — talk to salesscaling company-wide: custom batch volume, 5Bn rows, plus Pro enablement
- Enterprise — quotedfor special deployment, granular explainability and other requirements outside the three published tiers
No public price at any tier. Pecan publishes three plans — Starter, Team and Business — and each one carries a Talk to sales button where the number would be, with a fourth enterprise route for special deployment and granular explainability. Billing is annual only and Pecan states there is no setup fee. What the page does publish is the meter, and it is not the one most buyers expect: the tier is set by monthly prediction batches and stored rows, not by seats.
Starter gives 2 batches a month and 500M rows, Team 10 batches and 2Bn rows, Business custom batches and 5Bn rows; support runs from in-app only, to in-app plus Essential enablement, to Pro enablement. A batch is one run against a dataset, so two a month is a fortnightly cadence — the number that decides your tier before any conversation about team size. Plans change — always verify the live price on their site.
The honest knock
Where the amount would be, it sets out what a data-science team would cost you — $600,000 and up for three or four specialists, and a claim that salaries are 60 to 80% of the lifecycle cost of building this yourself. That may well be true, but it is a comparison to hiring rather than a price, and it means you cannot put Pecan next to anything else until you have been through a sales call.
The second thing to catch is the meter. Starter's two prediction batches a month is a fortnightly cadence; any team that wants a weekly refresh is on Team from the first day, whatever its size, and that is a tier decision made by scheduling rather than by headcount.
What Pecan AI does
Predictive AI that builds churn, LTV and demand models from your own data and delivers the results into your warehouse or CRM. Priced by prediction batches rather than seats, and quote-only at every tier.
What sets your tier, and what more money does not fix
Read the tiers as a schedule, not a headcount. What separates Starter, Team and Business is monthly prediction batches and stored rows: two batches and 500M rows, ten batches and 2Bn rows, then custom batch volume and 5Bn rows, with support running from in-app only, to in-app plus Essential enablement, to Pro enablement (read 27 August 2026). A batch is one run against a dataset, so Starter's two a month is a fortnightly refresh.
A team that wants to rescore churn weekly sits on Team from the first day whatever its size, and that scheduling question settles the tier before anything else does. What paying more does not fix: the price stays a conversation. Each of the three tiers, Starter included, ends at Talk to sales, subscriptions run on an annual billing cycle, and the pricing page offers no self-serve route in — though Pecan says it charges no setup fee.
Nor does a higher tier do the modelling for you. What Team and Business add is labelled enablement, which is support alongside your work rather than delivery of it; the predictive notebook, the core training table and the attribute tables are built on your side at every tier.
How to actually use Pecan AI
The first model starts as a chat and turns into SQL. Pecan's walkthrough opens in a predictive chat that asks four questions to shape what you are really asking: the focus of the prediction, the specific activity you want predicted, the time frame, and whether it is a one-time event or a recurring one. You then map a data connection you have already made — warehouse, CRM or database — or upload a CSV straight into the chat.
From your answers Pecan generates a predictive notebook holding the question and the queries that build your training set. You run and review those queries to produce the core set, the foundational table of historical behaviour, then add attribute tables carrying context such as demographics or product detail, then validate the mappings and submit for training. Two things to plan for: somebody has to be comfortable reading SQL, and the walkthrough sets no minimum on how much history a model needs, so ask on the call.
Distilled from Pecan help centre — https://help.pecan.ai/en/articles/8665302-build-your-first-predictive-ml-model — and https://www.pecan.ai/how-it-works/, plus the pricing page https://www.pecan.ai/pricing/, all read 27 August 2026.
Pecan AI vs Databox, side by side
Both columns come from the same place: each vendor’s own published pricing, read on the date shown in the sources at the foot of this page. We do not average them into a score.
Both names above are affiliate links: we may earn a commission if you sign up, at no extra cost to you. Neither changes what this table says: both columns come straight from the vendors’ own pricing pages.
The natural comparison is Databox — the tool people weigh this against when they are really asking whether they need prediction at all — Databox publishes its prices and shows you what happened across 130+ integrations, Pecan quotes every tier and tries to tell you what happens next; the split is reporting versus forecasting, and only one of the two lets you budget before a sales call.
More on Pecan AI
Everything we publish about Pecan AI links back here — the review stays the honest hub:
The ex-banker filter — the same yardstick on every review (how we review): My ex-banker filter is simple: does Pecan AI remove a real cost — time, errors, missed revenue — bigger than what it charges? If the job above is genuinely yours, it's worth a look. We never publish fake or “exclusive” prices, so always confirm the current plan on their site.
Frequently asked questions
What should I weigh before buying Growth & Revenue software?
It depends on whether you have the bottleneck it solves. Small teams get the most out of this category when one clear problem is already costing real hours or revenue; buying ahead of that just adds cost and another login. Price it against the hours or lost deals it removes, not against its feature list, and start on the smallest plan that covers the job.
Is this a hands-on review of Pecan AI?
This is a researched assessment, not a hands-on test — where we've used a tool ourselves, we say so explicitly. We name what each tool is genuinely good and bad at, and we earn a commission only if you sign up, at no cost to you.
- Read 2026-08-27 on pecan.ai/pricing.
We list our sources because most review sites do not. How we review →
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