Discovery engine for your 

company

app

website

company

Recommendation APIs that actually increase your conversions.

Backed by
Y Combinator
hero-iphone-discoveryhero-desktop-discovery

Leverage Shaped across multiple industries and use-cases

With Shaped, you can build powerful ranking models that understand the content your users are most likely to engage with or buy. You can use this understanding to create personalized discovery pages, feeds, recommendations and marketing communication that your users will love.

Marketplaces
usecase-marketplaces-recommendations-grocery
Grocery Delivery
usecase-marketplaces-recommendations-sneakers
Fashion
usecase-marketplaces-recommendations-furniture
and more...
For you page
usecase-social-recommendations-newsfeeds
Feeds
usecase-social-recommendations-socialmedia
and more...
usecase-ecommerce-recommendations-recommendedforyou
Recommended for you
usecase-ecommerce-recommendations-similartoyou
Similar to you
usecase-ecommerce-recommendations-jacketsforyou
and more...
usecase-media-video-streaming
Video
usecase-media-recommendations-news
News
usecase-media-recommendations-podcasts
and more...
usecase-other-recommendations-recruitmentleads
Recruitment leads
usecase-other-recommendations-productivitytools
Productivity tools
usecase-other-recommendations-settings
and more...

Designed for developers

We wrapped all the ranking infrastructure you need into an elegant, easy-to-use API. That means you don’t need to spend months handling all the data engineering, model training, and deployment difficulties inherent to recommendation systems.

# The Shaped model endpoint
shaped=https://api.shaped.ai/v0/models
# Request results for your ranking model
curl "$shaped/rec/rank?user_id=1" \
--header 'x-api-key: DEADBEEF'
# Your response is returned as a json list
{
"rankings": [
"item413",
"item255",
"item338",
]
}
developers-iphone-realestate
Houses you might like

Leaders use ranking to build world-class discovery experiences

The last decade has seen a shift from search to discovery-led products. It has become an expectation that products learn and adapt to user behavior. Ranking is the technology that has driven this shift.

  • leaders-youtube-recommendations

    70%

    Watch time from what the algorithm recommends

  • leaders-tiktok-for you

    52mins

    Average per day per user
    on ‘For you’ page

  • leaders-amazon-recommendations

    30%

    Percentage of revenue
    from recommendations

  • leaders-airbnb-recommendations

    40%

    Relative increase in
    bookings revenue

  • leaders-netflix-recommendations

    75%

    Content discovered
    from recommendations

  • leaders-instagram-recommendations

    90M

    Personalization predictions
    per second for the explore tab

In the news

No items found.

How Shaped works

1

Connect your data stack with our API

2

Shaped trains and deploys your models

shaped-train-deploy-machine-learning
3

Call our API to get a list of ranked results

Rank results
4

Increase your revenue

Increase business metrics

Modern machine-learning ranking stack

Created by the AI researchers and engineers that built the ranking models for Facebook. Our mission at Shaped is to make state-of-the-art-deep learning infrastructure accessible to more companies.

less data required

Less data required

Shaped pre-trains models so you don’t need much data to get started. This is what allows you to get great results from day 1.

less data required

Use all data types

Shaped drives growth with user interaction data and unstructured data types like images, videos, text or social graphs.

less data required

Deploy in hours

Shaped is built directly on top of your data stack meaning we can train and deploy predictive ranking models in hours.

Join the Shaped community

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Ready to get started?

Contact sales

Get a walk-through of Shaped

Schedule demo

1 month free-trial

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FAQs

How long will it take to integrate?

You can get a model created in a few hours. Integrating that model in typically takes 2-4 days.

How is Shaped better than Algolia, AWS Personalize...?

For the aforementioned companies, recommender and personalization solutions are an afterthought to their core business. Whereas for Shaped, it is our specialty. We use state-of-the-art machine-learning techniques and pre-train our models so customers don’t need as much data to get started.

Can I deploy multiple machine-learning models with Shaped?

Absolutely. In fact we encourage it. Modern tech companies have implemented 10s-100s of unique ranking models in their products for various use-cases. Each model usually requires a team of people to build and maintain. You can create an additional model with just one request.

Why shouldn’t I build this in-house?

The high cost of hiring machine-learning engineers, the long time required to build and the on-going full-time maintenance. Shaped can take you from 0 to 1 in a few days at a fraction of the cost.

What’s your pricing?

Our pricing is a usage based flat-fee per month. Once we know your approximate number of users and items we can provide an estimate.

How do you handle my data?

Shaped doesn’t store your data. We fetch, train and immediately discard it. Great care has been taken to ensure the critical paths are secure.

Built by scientists, engineers, designers, and product from