Discovery engine for your
company
app
website
company
Recommendation APIs that actually increase your conversions.
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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.
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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.
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.
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52mins
Average per day per user
on ‘For you’ page.webp)
30%
Percentage of revenue
from recommendations.webp)
40%
Relative increase in
bookings revenue.webp)
75%
Content discovered
from recommendations
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How Shaped works
Connect your data stack with our API
Shaped trains and deploys your models
Call our API to get a list of ranked results
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Increase your revenue
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
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.
Use all data types
Shaped drives growth with user interaction data and unstructured data types like images, videos, text or social graphs.
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
FAQs
You can get a model created in a few hours. Integrating that model in typically takes 2-4 days.
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.
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.
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.
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.
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
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