Prescient AI vs Recast
Both tools are listed under Marketing Mix Modeling & Incremental Lift, and both have been fact-checked by a named editor. This page lines up their structured data and quotes each review’s limitations and pricing notes; it does not pick a winner.
Prescient AI
Marketing mix modeling and forecasting engine delivering cookieless incremental revenue attribution and media budget optimization for multi-channel.
Pricing: Custom / enterprise pricing · Autonomy: L3 · Conditional automation · Moat: 4.2/5.0 (Proprietary moat)
Target fit: DTC / eCommerce, Enterprise Brands (Web SaaS)
Recast
Modern econometrics platform combining continuous Bayesian marketing mix modeling with GeoLift incrementality experimentation to optimize cross-channel.
Pricing: Custom / enterprise pricing · Autonomy: L3 · Conditional automation · Moat: 4.2/5.0 (Proprietary moat)
Target fit: B2B SaaS (Web SaaS)
How Prescient AI and Recast differ
- Prescient AI was founded earlier (2020) than Recast (2021).
- Headquarters: Prescient AI in San Francisco, California, Recast in New York, United States.
- Audience: Prescient AI targets DTC / eCommerce, Enterprise Brands; Recast targets B2B SaaS.
Computed from the fields below. Only editor-verified ratings and vendor-sourced prices are compared.
Side-by-side facts
| Field | Prescient AI | Recast |
|---|---|---|
| Subtrack | Marketing Mix Modeling & Incremental Lift | Marketing Mix Modeling & Incremental Lift |
| Pricing | Custom / enterprise pricing | Custom / enterprise pricing |
| Pricing model | Enterprise / quote | Enterprise / quote |
| Free access | No free plan disclosed | No free plan disclosed |
| Enterprise plan | Yes | Yes |
| AI autonomy level | L3 · Conditional automation | L3 · Conditional automation |
| Moat tier | Proprietary moat | Proprietary moat |
| Delivery | Web SaaS | Web SaaS |
| Audience | DTC / eCommerce, Enterprise Brands | B2B SaaS |
| Headquarters | San Francisco, California | New York, United States |
| Fact-checked | Julie Brot, Oct 12, 2026 | Sarah Per, Oct 6, 2026 |
Prescient AI vs Recast: TCO & constraint stress test
Test how both tools behave under your team size, monthly budget ceiling, CRM ecosystem, and governance guardrails.
Prescient AI
High Deal-Risk · Constraint Mismatch- Opaque Enterprise Quoting vs. SMB/Mid-Market Budget: Prescient AI does not disclose a public self-serve floor (Custom / enterprise pricing). Buyers with a $800/mo cap face high sales-qualification friction.
- Sales-Gated Contract Terms: Prescient AI delivers its measurement engine through a closed subscription commercial structure, with exact terms available on request through tailored enterprise sales quotes based on organizational scale and seats.
- Primary Operational Bottleneck: Historical Data Cold Start: The statistical regression framework requires extended historical daily order and ad spend records to stabilize parameters, restricting measurement efficacy for newly launched brands or unseasoned sales channels.
Walk-Away Rule: Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Prescient AI requires sales-gated custom quoting).
Negotiation Lever: Demand a 30- to 60-day paid pilot opt-out clause in the Prescient AI order form before signing a 12-month enterprise commitment.
Recast
High Deal-Risk · Constraint Mismatch- Opaque Enterprise Quoting vs. SMB/Mid-Market Budget: Recast does not disclose a public self-serve floor (Custom / enterprise pricing). Buyers with a $800/mo cap face high sales-qualification friction.
- Sales-Gated Contract Terms: Commercial pricing is available on request through tailored enterprise sales quotes based on organizational scale and seats.
- Primary Operational Bottleneck: Geo-Testing Execution Constraints: Executing matched-market GeoLift experiments requires isolated regional media delivery, creating operational friction for digital platforms lacking precise regional budget gating.
Walk-Away Rule: Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Recast requires sales-gated custom quoting).
Negotiation Lever: Demand a 30- to 60-day paid pilot opt-out clause in the Recast order form before signing a 12-month enterprise commitment.
Limitations
Prescient AI
Operational considerations and platform boundaries include: Historical Data Cold Start: The statistical regression framework requires extended historical daily order and ad spend records to stabilize parameters, restricting measurement efficacy for newly launched brands or unseasoned sales channels.Full limitations in the Prescient AI review
Recast
Operational considerations and platform boundaries include: Data Granularity and Lag: The econometric engine requires aggregated historical time-series data, meaning campaigns need sustained spend volume across multiple weeks before the model identifies incremental signal.Full limitations in the Recast review
Pricing notes
Prescient AI: Custom / enterprise pricing
Prescient AI delivers its measurement engine through a closed subscription commercial structure, with exact terms available on request through tailored enterprise sales quotes based on organizational scale and seats.Pricing details in the Prescient AI review
Recast: Custom / enterprise pricing
Commercial pricing is available on request through tailored enterprise sales quotes based on organizational scale and seats. Contracts operate on annual subscription structures tied to gross measured media spend, historical data ingestion volume, and dedicated econometric calibration support.Pricing details in the Recast review
Frequently asked questions: Prescient AI vs Recast
How does Prescient AI pricing compare to Recast in 2026?
Prescient AI is listed at Custom / enterprise pricing (enterprise / quote, no free plan disclosed), whereas Recast is listed at Custom / enterprise pricing (enterprise / quote, no free plan disclosed).
How do Prescient AI and Recast compare on AI autonomy and moat depth?
On the MarTechRadar L1–L5 scale, Prescient AI is rated L3 · Conditional automation with a Proprietary moat moat (4.2/5.0), while Recast is rated L3 · Conditional automation with a Proprietary moat moat (4.2/5.0).
Which teams are Prescient AI and Recast built for?
Prescient AI is a Web SaaS product in Marketing Mix Modeling & Incremental Lift designed for DTC / eCommerce, Enterprise Brands. Recast is a Web SaaS product in Marketing Mix Modeling & Incremental Lift designed for B2B SaaS.
What are the main limitations of Prescient AI vs Recast?
For Prescient AI: Operational considerations and platform boundaries include: Historical Data Cold Start: The statistical regression framework requires extended historical daily order and ad spend records to stabilize parameters, restricting measurement efficacy for newly launched brands or unseasoned sales channels. For Recast: Operational considerations and platform boundaries include: Data Granularity and Lag: The econometric engine requires aggregated historical time-series data, meaning campaigns need sustained spend volume across multiple weeks before the model identifies incremental signal.
Excerpts are quoted verbatim from each fact-checked review. Last updated Oct 12, 2026.