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.
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 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.
Watch time from what the algorithm recommends
Average per day per user
on ‘For you’ page
Percentage of revenue
Relative increase in
per second for the explore tab
In the news
Coming from building ad personalization at Facebook and then leading ecommerce data science at Thrasio, I know how hard it is to bake personalization into products. Shaped is the first approach that truly builds personalization as a product, served through an API that easily plugs in to your team’s existing products. There is simply no better way to optimize your search, recommendations, or marketplaces than leveraging industry-leading data science practices using Shaped.
Been using Shaped for the last 6 months and have gotten a 20% increase in engagement. We consider them a valuable part of our infrastructure – we’d otherwise have to build out a bespoke ML stack which we aren’t equipped to do as a small team. Got my first model in a day and it took less than 2 weeks to deploy to prod. Team is really helpful and quick to respond to any issues. Highly recommend them. Didn’t want to put my name to this to prevent our competitors from seeing.
With the TikTok-ification of everything, personalization has become incredibly important for all companies to get right. I love what Shaped is doing to democratize the insanely complex ranking systems that are used at companies like Facebook and Youtube. It really does level the playing field so us founders, product managers and engineers can focus on our core differentiation.
We considered hiring an ML team to build ranking but it was costly and scoped to take 10-12 months. After a vendor search we decided to go with Shaped because we didn’t have to mess around setting up new data pipelines to send our data to 3rd parties and they’re not a black box — our engineers have control over the set-up of the models and the results.
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.