Shaped

Shaped is an ML ranking platform that personalizes feeds, recommendations, and search results with production-ready APIs.

Summary

Shaped allows you to personalize feeds, recommendations, and search results with ML ranking APIs so products show the right content to each user.

Shaped Review

Shaped is a recommendations platform that helps teams ship personalized ranking models with minimal ML ops. It ingests events, catalog data, and user features to train models for feeds, search, and notifications, then exposes APIs with real-time re-ranking and diversity controls. Dashboards monitor CTR, conversion, and coverage; experiments compare strategies safely. Developers configure objectives, filters, and cold-start strategies without rebuilding pipelines. Typical workflows include home feed ordering, related content, and lifecycle messaging. The value is measurable lift from tailored recommendations delivered with fewer engineering cycles.

Things to Know About Shaped

Shaped drawbacks: Model quality depends on high-quality behavioral signals; sparse data yields weak rankings. Integration into production stacks requires engineering effort, feature stores, and monitoring. Explainability, bias checks, and auditability demand additional tooling. Vendor lock-in is a concern when business logic and embeddings live in hosted services.

Top Features

AI ranking and personalization for feeds, search, and recommendations
Low-latency APIs that learn from engagement signals
Feature pipelines for text, image, and graph data
Cold-start handling and diversity controls
A/B experiments and automatic model selection
Real-time metrics and drift monitoring
SDKs for web, iOS, and Android
Human-in-the-loop labeling tools
Privacy, PII redaction, and audit logs
Playbooks for marketplaces, jobs, and news apps

Shaped Pricing

Shaped pricing: usage-based and enterprise tiers tied to model training frequency, inference requests, and connectors; higher plans add monitoring, A/B testing, and roles/permissions; costs reflect traffic and dataset size, with discounts for committed usage.

How to use Shaped

To use Shaped, connect your product data, define events and objectives, and let it build personalization models; integrate the API to serve recommendations, A/B test placements, and monitor lift; retrain on a schedule and adjust filters to control diversity or recency.

Alternatives & Competitors

To use Shaped, connect your product or content feed, instrument events, and define a recommendation goal (clicks, retention); train the model on historical interactions, preview ranked items, and A/B test placements; monitor lift metrics and retrain as behavior shifts.