Real-time retrieval engine for AI agents, search, and recommendations.
Product memo
Provides real-time, personalized retrieval for AI agents, search, and recommendations. It targets developers building AI applications, offering a specialized vector database with a feedback loop. This approach helps agents get the right context instantly, promising lower costs and higher relevance than traditional RAG stacks.
For who
AI agents and developers
Solves what
Provides real-time, personalized retrieval for AI agents, search, and recommendations.
- Real-time retrieval engine
- Vector database with feedback loop
- Hybrid search across indexes
In their own words
The only vector database with a feedback loop
Connect your data. Train your models. Query text, user or session context and retrieve relevant results in milliseconds.
Commercial cues
Model
usage based
Free tier
Yes
Trial
Available
Pricing Strategy
- • Usage-based pricing aligns expenses directly with retrieval requests.
- • Enterprise handles custom requirements.
Operator context
Operating setup
Team
VC / larger team
LLM classification
Founded
Jan 2026
HQ
United States
Platform
API
Audience
Developers
Social footprint
Tech stack
Market demand
ShapedQL keyword demand
5 keywords
Market demand is Starter-tier market intelligence.
Derived from this product’s latest SimilarWeb keyword mix — directional demand, not proof.
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Vc Growth
- Effort
- Small Team
About ShapedQL Expand
Shaped offers a real-time retrieval engine designed for AI agents, search, and recommendation systems. It serves developers building AI applications, providing a specialized vector database that includes a crucial feedback loop.
This mechanism helps optimize agent context instantly, aiming to deliver more relevant results at a lower cost compared to general-purpose vector stores. The platform’s positioning centers on personalization and efficient data retrieval, supporting use cases from enhancing AI agent performance to powering dynamic search experiences.