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

Personalized feeds, production-ready in days

Ship a real-time “For You” feed without building ranking systems, pipelines, or feature stores. Proven to lift engagement and retention fast.

Solutions for every platform

Outcomes, not infra

Hit retention targets without building ranking systems, pipelines, and feature stores.

Cold-start solved

Personalization that works on day one for new users and new items.

Control and confidence

Turn traffic into subscriptions. Boost revenue and engagement.

Scale without limits

Keep recommendations fast, relevant, and cost-efficient as your goals grow, no re-engineering required.

Get started this week

Day 1

Connect Data
Define KPIs and align business objectives with Shaped’s onboarding team.

Day 2

Analyze Data

Day 3

Connect Data
Ingest data via one-click connectors (BigQuery, PostgreSQL, Snowflake) or API. No new infrastructure required.

Days 4-5

Iterate
Set objectives (clicks, conversions, etc.), calibrate relevance and guardrails, and validate with test cohorts using the Rank API.

Day 6

Final Evaluation

Day 7

Push Live
Deploy to production, measure performance, and iterate weekly with Shaped’s experimentation and analytics tools, or your own.

Plugs into your workflow

Integrate via API or batch. Keep your current analytics and experimentation setup, or use Shaped’s built-in tools for end-to-end measurement.

Engineered for production

Low-latency APIs, SDKs in your language, and enterprise-grade SLAs, documented and ready for engineering teams.

Build in-house with Shaped

Time to first experiment

  • 6–12 months to build infrastructure before testing ideas
  • ~7 days to run your first experiment

Iteration speed

  • Slow — pipeline changes, retraining, and deployment cycles
  • Rapid — deploy and measure new experiments instantly

Team required

  • ML engineers, infrastructure engineers, product, data science
  • 1 engineer to integrate

Upfront cost

  • $500k–$1M+ in salaries & infrastructure
  • Subscription pricing

Maintenance

  • Continuous tuning, scaling, bug fixes
  • Fully managed by Shaped

Cold start

  • Weeks or months to gather enough data
  • Solved from day one

Cross-surface learning

  • Siloed models per surface
  • One model that learns from every signal

Ship a Personalized Feed in one sprint

Step 1: Connect your data

All you need are user interactions and (optionally) item metadata. No complex data pipelines or feature engineering required.

Step 2: Configure your feed

Define your feed in minutes with a simple config—no custom ML models or tuning cycles. Shaped handles the hard parts for you.

Step 3: Deploy automatically

Shaped trains, schedules, and scales your feed to production. Your team ships in weeks, not months—without adding infra or ML hires.

One model, every surface

Shaped learns from every signal across your ecosystem, so each interaction improves recommendations everywhere. No silos, faster learning loops, greater compounding impact.

More Use Cases:

  • Baselines
    Explore rule-based models like Popular, Trending, and Chronological rankings.
    Learn More

  • Boosting
    Learn how to promote specific items intelligently within personalized rankings.
    Learn More

  • Cart Upsell & Cross-Sell
    Boost AOV with intelligent upsell and cross-sell recommendations in the shopping cart.
    Learn More

  • Conversational Recommenders
    Building personalized conversational AI assistant experiences.
    Learn More

  • "For You" Feeds
    Build dynamic, personalized feeds like TikTok or Instagram Reels.
    Learn More

  • Grid Ranking
    Create personalized grids like Netflix with ranked rows and columns.
    Learn More

  • Item Cold Start
    Handle new items intelligently with attribute-aware ranking models.
    Learn More

  • Who to Follow
    Suggest relevant users to follow on social platforms or marketplaces.
    Learn More

  • Category Pages
    Re-rank items within categories based on user preferences.
    Learn More

  • Email
    Deliver personalized recommendations in email campaigns.
    Learn More

  • Notifications
    Send relevant, personalized notifications to engage users.
    Learn More

  • Product Detail Pages
    Show similar items on PDPs to keep users engaged.
    Learn More

  • Product Recs
    Build personalized product recommendations for e-commerce.
    Learn More

  • Related Content
    Keep users engaged with relevant related content suggestions.
    Learn More

  • Item Reranking
    Re-rank pre-selected items (e.g. from search) based on user preferences.
    Learn More

  • Hybrid Search
    Combine keyword search with personalized ranking for better results.
    Learn More

  • Similar Users & Items
    Find similar items or users for personalized recommendations.
    Learn More

  • User Cold Start
    Provide relevant recommendations for new or anonymous users.
    Learn More

  • User Interest Ranking
    Rank items based on user attributes, stated interests and session context.
    Learn More

  • User & Item Embeddings
    Leverage embeddings for advanced recommendation strategies.
    Learn More

  • Watch Next Carousels
    Suggest the perfect next video to keep users engaged.
    Learn More