Shaped
AI NativeThe real-time retrieval engine for search, feeds, and agents.
Est 2021|Valuation $48M|Raised $10M
The real-time retrieval engine for search, feeds, and agents.
Published Aug 26, 2026
| Starting Price | Starter includes a published free-usage tier; Standard requires published minimums plus usage-based fees | Public guidance and support notes exist; recommend/learn more for specifics | Typically sales-led enterprise pricing (varies) |
| Suggested use case | Teams seeking a programmable relevance layer with a query language (ShapedQL) for combined search and recommendations | Teams wanting hosted search and recommendation APIs with broad ecosystem support | Commerce organizations seeking an integrated suite for content, merchandising, and marketing workflows |
| Key Strength | Consolidated relevance engine and a SQL-like query language for multi-stage ranking | Mature search platform with extensive documentation and community resources | Integrated experience platform with merchandising and marketing tools |
| Key Weakness | Less third-party review visibility; costs can scale with API calls and compute usage; requires data instrumentation | Common category complaint: pricing can become costly at scale; separation of search vs recommend costs in some plans | Can require heavier implementation and may be less focused on programmatic ranking control |
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Shaped positions itself against broader DXPs by focusing on a programmable relevance layer; organizations requiring CMS, marketing automation, and merchandising workflows in one platform may prefer a DXP. Conversely, organizations needing control over ranking pipelines and a programmable search and recommendation layer may find Shaped’s architecture suitable.
Against established hosted search vendors, Shaped emphasizes ML-aware ranking and query-level control; trade-offs include ecosystem maturity, community resources, and pricing models.
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