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.

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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.

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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.

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Engineered for production

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

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Build in-house

with Shaped

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

Faster experimentation, proven KPI lift, and no infra burden, so your team can focus on what matters: shipping product, not pipelines.

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.