Introducing Shaped for Agents — retrieval that gets it right the first time

Semantic search with AI‑native behavioral reranking

Harness behavior to rank search results at a user level, increasing engagement conversion and retention.

Integrate Easily

Integrate with multiple data sources or type
See Code

Iterate Rapidly

Easy to use experimentation tooling
See Code

SOTA models

Use our model library or bring your own
See Code

Self-Serve Fine Tuning

Easily Fine-Tune your own models
See Code

Modular Infrastructure

Choose your re-ranker, orderer and scorer
See Code

Scale Seamlessly

Automatically scale with your request volume
See Code

Why unify search and recommendations?

No extra cost

Fees optimized for unification
Integrating Shaped for both search and recommendations comes at no extra cost. Shaped’s pricing structure is modular, with a fixed platform fee and tiered usage fees.

Simplified Architecture

Less complexity, less headaches
Unifying search and recommendation infrastructure means you get world-class stability, reliability, scalability, and latency that is easier to integrate and maintain.

Continuous Improvement Transfer

Systems built to enhance each other
Knowledge and data sharing between unified systems results in continuous improvement and transfer learning, where improved systems generate richer data, and richer data improves systems.

Get up and running with one engineer in one sprint

Guaranteed lift within your first 30 days or your money back