Haus vs Prescient AI
Reviewed by MarTechRadar Research Desk. Pricing & entity snapshots verified Oct 16, 2026.
Haus (Web SaaS) and Prescient AI (Web SaaS) both compete in Marketing Mix Modeling & Incremental Lift. On pricing, Haus lists Pricing not disclosed (no free plan disclosed), whereas Prescient AI lists Custom / enterprise pricing (no free plan disclosed). Technically, Haus is rated L2 · Workflow copilot with a 4.1/5.0 (Proprietary moat) moat, while Prescient AI is rated L2 · Workflow copilot with a 3.9/5.0 (Proprietary moat) moat. Corporate profile: Haus (founded 2021, HQ San Francisco, CA, $61.1M funding) vs. Prescient AI (founded 2020, HQ San Francisco, California, $16.7M funding). Verified by the MarTechRadar Research Desk (Oct 16, 2026 for Haus; Oct 12, 2026 for Prescient AI). At a 5-seat team baseline, Haus starts at Custom quote vs Prescient AI at Custom quote.
Haus
Causal marketing intelligence platform combining geo-lift incrementality experiments, Causal MMM, and an AI media optimization agent.
5-User Team Cost: Custom quote (Pricing not disclosed) · Autonomy: L2 · Workflow copilot · Moat: 4.1/5.0 (Proprietary moat)
Target fit: B2B SaaS, Growth Teams (Web SaaS)
Prescient AI
Marketing mix modeling and forecasting engine delivering cookieless incremental revenue attribution and media budget optimization for multi-channel.
5-User Team Cost: Custom quote (Custom / enterprise pricing) · Autonomy: L2 · Workflow copilot · Moat: 3.9/5.0 (Proprietary moat)
Target fit: DTC / eCommerce, Enterprise Brands (Web SaaS)
How Haus and Prescient AI differ
- Prescient AI was founded earlier (2020) than Haus (2021).
- Headquarters: Haus in San Francisco, CA, Prescient AI in San Francisco, California.
- Verified backing: Haus records $61.1M; Prescient AI records $16.7M (Headline, Blumberg Capital).
- Company headcount: Haus is 201-500 employees; Prescient AI is 51-200 employees.
- Audience: Haus targets B2B SaaS, Growth Teams; Prescient AI targets DTC / eCommerce, Enterprise Brands.
- Ecosystem stack: Haus connects with Snowflake, Google BigQuery, Shopify; Prescient AI connects with Shopify, Google Ads, TikTok Ads.
Computed from the fields below. Only editor-verified ratings and vendor-sourced prices are compared.
When to choose Haus vs Prescient AI (and when to walk away)
Choose Haus if
- Target ICP & Stack Fit: You operate as B2B SaaS and Growth Teams requiring a Web SaaS deployment for Marketing Mix Modeling, with verified ecosystem connectivity for Snowflake, Google BigQuery, Shopify.
- L2 Architecture & Defensibility: Anchoring Bayesian marketing mix models directly to empirical geo-holdout lift experiments creates a proprietary causal truth dataset that observational attribution tools cannot easily replicate.
- Commercial Model Fit: Your procurement budget aligns with Pricing not disclosed.
Walk away from Haus if
- Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Haus requires sales-gated custom quoting).
- Walk away if your workflow cannot tolerate holdout test revenue pause: Running valid geo-holdout tests requires pausing or cutting ad spend in control regions for a few weeks, which is hard during peak sales seasons.
- Walk away if needs national ad spend scale is a deal-breaker for your team: Brands with small monthly ad budgets or single-city sales lack enough regional data spread to run accurate geo-lift splits.
Choose Prescient AI if
- Target ICP & Stack Fit: You operate as DTC / eCommerce and Enterprise Brands requiring a Web SaaS deployment for Marketing Mix Modeling, with verified ecosystem connectivity for Shopify, Google Ads, TikTok Ads.
- L2 Architecture & Defensibility: Proprietary Bayesian econometric pipelines trained specifically on high-velocity direct-to-consumer transaction signals, bypassing user-level tracking identifiers entirely while providing granular ad-set level attribution and scenario forecasting.
- Commercial Model Fit: Your procurement budget aligns with Custom / enterprise pricing.
Walk away from Prescient AI if
- 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).
- Walk away if your workflow cannot tolerate 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 if high ad spend floor is a deal-breaker for your team: Econometric models require significant variance and scale in media investments, rendering statistical outputs noisy or inconclusive for marketing operations allocating under six figures in aggregate monthly ad spend.
Side-by-side facts
| Field | Haus | Prescient AI |
|---|---|---|
| Subtrack | Marketing Mix Modeling & Incremental Lift | Marketing Mix Modeling & Incremental Lift |
| Pricing | Pricing not disclosed | Custom / enterprise pricing |
| Pricing model | Not disclosed | Enterprise / quote |
| Published pricing tiers | Enterprise / Custom (Custom quote) | Enterprise / Custom (Custom quote) |
| Free access | No free plan disclosed | No free plan disclosed |
| Enterprise plan | Not recorded | Yes |
| AI autonomy level | L2 · Workflow copilot | L2 · Workflow copilot |
| Moat tier & score | 4.1 / 5.0 · Proprietary moat | 3.9 / 5.0 · Proprietary moat |
| Delivery | Web SaaS | Web SaaS |
| Audience | B2B SaaS, Growth Teams | DTC / eCommerce, Enterprise Brands |
| Ecosystem integrations | Snowflake, Google BigQuery, Shopify | Shopify, Google Ads, TikTok Ads |
| Compliance & governance | — | GDPR |
| Funding & backing | $61.1M | $16.7M · Backed by Headline, Blumberg Capital |
| Founders | Zach Epstein | Cody Greco, Michael True |
| Company size | 201-500 employees | 51-200 employees |
| Founded | 2021 | 2020 |
| Headquarters | San Francisco, CA | San Francisco, California |
| Fact-checked | MarTechRadar Research Desk, Oct 16, 2026 | MarTechRadar Research Desk, Oct 12, 2026 |
| Governance & docs | Trust & Security ↗ · Terms ↗ · Privacy ↗ | API & Docs ↗ · Terms ↗ · Privacy ↗ |
Haus vs Prescient AI: TCO & constraint stress test
Test how both tools behave under your team size, monthly budget ceiling, CRM ecosystem, and governance guardrails.
Haus
High Deal-Risk · Constraint Mismatch- Opaque Enterprise Quoting vs. SMB/Mid-Market Budget: Haus does not disclose a public self-serve floor (Pricing not disclosed). Buyers with a $800/mo cap face high sales-qualification friction.
- Sales-Gated Contract Terms: Haus sells through custom annual contracts with pricing available on request. Packages—spanning Basics for Shopify, Core, Plus, and Enterprise—scale with yearly ad spend and channel count. Plans bundle marketing science support, cloud warehouse links, and the Architect AI agent.
- Primary Operational Bottleneck: Holdout Test Revenue Pause: Running valid geo-holdout tests requires pausing or cutting ad spend in control regions for a few weeks, which is hard during peak sales seasons.
Walk-Away Rule: Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Haus requires sales-gated custom quoting).
Negotiation Lever: Demand a 30- to 60-day paid pilot opt-out clause in the Haus order form before signing a 12-month enterprise commitment.
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.
Limitations
Haus
Limitations and trade-offs to weigh before choosing Haus: Holdout Test Revenue Pause: Running valid geo-holdout tests requires pausing or cutting ad spend in control regions for a few weeks, which is hard during peak sales seasons.Full limitations in the Haus review
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
Official vendor architectural differentiators & migration proof
To help buyers evaluate real-world switching costs, verified founders, solutions architects, and PMMs at both Haus and Prescient AI can submit up to 3 evidence-backed architectural differentiators or verified customer migration case studies.
Why teams choose Haus over Prescient AI
Work at Haus? Verify your official domain email to publish 3 technical differentiators, migration benchmarks, or a head-to-head buyer sandbox offer on this comparison page:
+ Submit Haus Official Differentiators & Case Study →Why teams choose Prescient AI over Haus
Work at Prescient AI? Verify your official domain email to publish 3 technical differentiators, migration benchmarks, or a head-to-head buyer sandbox offer on this comparison page:
+ Submit Prescient AI Official Differentiators & Case Study →Pricing notes & tier schedules
Haus: Pricing not disclosed
Haus sells through custom annual contracts with pricing available on request. Packages—spanning Basics for Shopify, Core, Plus, and Enterprise—scale with yearly ad spend and channel count. Plans bundle marketing science support, cloud warehouse links, and the Architect AI agent.
- Enterprise / Custom (Custom quote, 15–50+ seats (Enterprise SLA)): Sales-negotiated annual contract for custom volume, SSO/RBAC governance, and dedicated SLA.
- Enterprise Governance & Add-On Gating: Advanced capabilities such as Single Sign-On (SSO), custom role permissions, or specialized analytics modules are gated behind upper tiers or paid add-ons.
- Holdout Test Revenue Pause: Running valid geo-holdout tests requires pausing or cutting ad spend in control regions for a few weeks, which is hard during peak sales seasons.
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.
- Enterprise / Custom (Custom quote, Unlimited seats (Enterprise SLA)): Sales-negotiated annual contract for custom volume, SSO/RBAC governance, and dedicated SLA.
- 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.
- High Ad Spend Floor: Econometric models require significant variance and scale in media investments, rendering statistical outputs noisy or inconclusive for marketing operations allocating under six figures in aggregate monthly ad spend.
Frequently asked questions: Haus vs Prescient AI
How does Haus pricing compare to Prescient AI in 2026?
Haus is listed at Pricing not disclosed (not disclosed, no free plan disclosed), whereas Prescient AI is listed at Custom / enterprise pricing (enterprise / quote, no free plan disclosed).
How do Haus and Prescient AI compare on AI autonomy and moat depth?
On the MarTechRadar L1–L5 scale, Haus is rated L2 · Workflow copilot with a Proprietary moat moat (4.1/5.0), while Prescient AI is rated L2 · Workflow copilot with a Proprietary moat moat (3.9/5.0).
Which teams are Haus and Prescient AI built for?
Haus is a Web SaaS product in Marketing Mix Modeling & Incremental Lift designed for B2B SaaS, Growth Teams. Prescient AI is a Web SaaS product in Marketing Mix Modeling & Incremental Lift designed for DTC / eCommerce, Enterprise Brands.
What are the main limitations of Haus vs Prescient AI?
For Haus: Limitations and trade-offs to weigh before choosing Haus: Holdout Test Revenue Pause: Running valid geo-holdout tests requires pausing or cutting ad spend in control regions for a few weeks, which is hard during peak sales seasons. 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.
What are the hidden TCO drivers and contract negotiation levers for Haus vs Prescient AI?
For Haus: Enterprise Governance & Add-On Gating (Advanced capabilities such as Single Sign-On (SSO), custom role permissions, or specialized analytics modules are gated behind upper tiers or paid add-ons.) Negotiation lever: Demand a 30- to 60-day paid pilot opt-out clause in the Haus order form before signing a 12-month enterprise commitment. For Prescient AI: 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.) 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.
Excerpts are quoted verbatim from each fact-checked review. Last updated Oct 16, 2026.