Pecan AI
Verified Oct 15, 2026 ActivePredictive models for churn, demand and revenue built from a business question and raw tables, delivered into the warehouse or CRM
Listed on EffectHub ·
Pricing
- Pricing model
- Contact sales
The pricing page lists Starter (2 prediction batches a month, 500M rows), Team (10 batches, 2Bn rows) and Business (custom batches, 5Bn rows) with 'Talk to sales' on each and no dollar figures; a July 2026 tracker snapshot shows the former $760 and $1,400 list prices being removed. No setup fee; subscriptions are annual by default. The site answers 403 to plain fetches but serves pages to a browser user agent.
Use tool ↗About Pecan AI
Pecan AI turns a business question — who will churn, which leads convert, what demand looks like next quarter — into a predictive model without a data scientist: a predictive agent connects to tables in Snowflake, BigQuery, Databricks, Salesforce or HubSpot, prepares and validates the data, builds and monitors the model, and schedules prediction batches back into the warehouse or CRM. The agent also answers questions about the data in plain English. Plans are sized by monthly prediction batches and stored rows, and since mid-2026 every tier is sold through sales rather than at a listed price.
- Platforms
- Web · API
- API
- Yes
- Last verified
- Oct 15, 2026
Verified sources
- Pricing page lists Starter (2 monthly prediction batches, 500M rows, in-app support), Team (10 batches, 2Bn rows, essential enablement) and Business (custom batches, 5Bn rows, pro enablement), each with 'Talk to sales' and no price; FAQ says no setup fee and that all plans include the predictive AI agent; SSO on all tiers (15 October 2026)pecan.ai ↗
- Privacy policy names Pecan AI Ltd. as the operator, with staff located in Israel (15 October 2026)pecan.ai ↗
- About page: founded in 2018; co-founders Zohar Bronfman (CEO) and Noam Brezis, both Tel Aviv University alumni (15 October 2026)pecan.ai ↗
- Third-party tracker logged the removal of the Starter $760/month and Team $1,400/month list prices and the switch to 'Talk to sales' between 6 and 13 July 2026pricingsaas.com ↗
- Home page lists connectors for Snowflake, Databricks, BigQuery, Salesforce, HubSpot, Redshift, AppsFlyer, Adjust and others, and use cases for churn, LTV, lead scoring and demand forecasting (15 October 2026)pecan.ai ↗
Is Pecan AI legit?
We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.
- Domain registered
- Jul 11, 2018 (8 years ago)Registry record (RDAP), registrar NameCheap, Inc., looked up Sep 6, 2026
- TLS certificate
- Issued by Google Trust Services, valid until Jan 12, 2027Seen in our own connection to the site on Oct 15, 2026
- Last checked
- Oct 15, 2026The site answered
- On the market since
- 2018The vendor's own material, read by us
- Operated by
- Pecan AI Ltd., IsraelOur research, card verified Oct 15, 2026
Pros & cons of Pecan AI
Pecan is for a marketing, sales or operations team that has clean transactional data in a warehouse and a clear question, and no data scientist to answer it; the batch-and-write-back design means predictions land where the team already works instead of in another dashboard. It is enterprise-priced and sales-gated — the last public list prices were in the high hundreds of dollars a month — so a small company or a team that wants to experiment for free should look at Akkio or a cloud vendor's AutoML first.
Pros
- Automated data preparation, feature engineering and validation from raw tables
- Predictions delivered as scheduled batches into databases, warehouses and CRMs
- Native connectors for Snowflake, BigQuery, Databricks, Redshift, Salesforce, HubSpot and ad platforms
- Monitoring and alerts on training and prediction runs; SSO on every tier
- No setup fee and vendor-led enablement on the Team and Business tiers
Cons
- Prices were removed from the pricing page in July 2026; every tier is now a sales conversation
- Plans are metered by prediction batches per month, which punishes frequent re-scoring
- Use cases centre on customer and demand prediction; it is not a general modelling workbench
- Site blocks automated access, so independent verification of claims takes a browser
Best for
- Growth, CRM and operations teams forecasting churn, LTV, demand or lead conversion from warehouse data
- Companies that want predictions written back into Salesforce, HubSpot or the warehouse on a schedule
- Analysts who can prepare a dataset in SQL but have not built models before
Not for
- Startups without a warehouse or steady transactional history — there is little for the model to learn from
- Data-science teams that want to own features and model code; this abstracts them away
Watch out: A plan buys a fixed number of prediction batches a month and every scheduled run counts; re-scoring daily on the Starter tier's two batches is impossible without an upgrade or extra-batch fees.
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