Restb.ai review
Restb.ai is a Appraisal Management product from Clear Capital. MortgageTechReview scores Restb.ai 3.2 out of 5.0, ranking Restb.ai #13 of the 21 products tracked in Appraisal Management Software, as of August 11, 2026. Scores on MortgageTechReview are weighted across five axes and are never paid for or influenced by a vendor relationship.
Restb.ai is computer vision sold as an API, not an application. It reads property photos and returns structured outputs, from room tagging and condition scoring to condition-adjusted comparables. For appraisal work it validates that a photo set supports the fields being reported. Stated support covers UAD 3.6, the Uniform Property Dataset, Freddie Mac's PDR and Fannie Mae's PDC. Its buyers are mostly other vendors, which is the thing to grasp before you call them. Clear Capital bought it in May 2026 and says the brand stays standalone, so weigh that dependency.
How Restb.ai compares to Clear Capital
Ranked first in VALClear Capital currently scores highest in VAL, so every other product in the category is compared against it here. That is a ranking on our published rubric rather than a recommendation, and it changes when the scores change. Category Leader
| Axis | Restb.ai | Clear Capital |
|---|---|---|
| Production impact | 3.1 | 5.0 |
| Functionality & depth | 3.6 | 4.9 |
| Integrations & ecosystem | 3.3 | 4.9 |
| Adoption & support | 3.1 | 4.4 |
| Return on spend | 3.1 | 4.5 |
| Overall | 3.2 | 4.8 |
Restb.ai wins 0 of 5 axes against Clear Capital, on the weight profile published for this category. Full head-to-head →
Where it wins
- Outputs align to UAD 3.6, the Uniform Property Dataset, Freddie PDR and Fannie PDC
- Field-tested through ACI, Bradford Technologies, Stewart Valuation Intelligence and Aloft
- Photo validation covers a stated 90% plus of populated data collection fields
- Condition-adjusted comparables and complexity scoring reach judgements a reviewer actually makes
Where it falls short
- API only, no user interface, so direct buyers need engineering first
- Clear Capital ownership since May 2026 conflicts AMCs competing with Clear Capital
- Pricing page exists but shows no rate or volume band
- Accuracy is vendor-stated, with no third-party validation published
Why it scores 3.2
Scored on the Appraisal & Valuation weight profile. The number shows where it sits in this category. It rests on evidence anyone can check, including the vendor's own record. The weights →
Production impact
30% of scoreThe effect on a loan file is indirect but real. Restb.ai decides whether a photo set actually supports the data being reported. That is what stops a data collection or appraisal bouncing back for correction. The company states its validation covers upwards of 90% of populated fields on a data collection form. Most lenders get the benefit through another vendor’s product without ever buying it.
Functionality and depth
15% of scoreThe model catalogue is the deepest in property computer vision. It tags rooms and features, scores condition and quality, assesses complexity and flags watermarks and duplicates. It also builds condition-adjusted comparables and extracts data from floor plans and appraisal attachments. Outputs map to GSE data standards, not a private schema, so they fit regulated work. Accuracy claims are the vendor’s own, with no third-party validation published.
Integrations and ecosystem
15% of scoreThe proof is who already embeds it. The list includes ACI under First American, Bradford Technologies, Stewart Valuation Intelligence, ClearValue Consulting, Aloft, Aivre, Accurate Group and Reggora. CoreLogic and Black Knight are named as clients. There is no origination system connector, because that is not the product’s shape. A lender reaches it through one of the platforms above.
Adoption and support
15% of scoreThis is an API and nothing else. Adoption is an engineering job, not a user rollout. For a vendor with a development team, that is a fast path to capability it could not build. For a lender expecting a screen to log into, it is the wrong product.
Return on spend
25% of scorePriced per call at volume, computer vision is cheap against the review labor it displaces. Appraisal review has a direct labor offset that is easy to model. The complication is the May 2026 Clear Capital acquisition. For anyone competing with Clear Capital, a technical dependency just became a strategic one. Price that into the commercial terms.
On price. There is a pricing page and it publishes no numbers. No per-image rate appears, and no tier or volume band either. Everything runs through sales.
