Discovery engine
for your
company
app
website
company
Recommendation APIs that increase your metrics 🚀
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Trusted by investors from
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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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Testimonials
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.
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
@shapedai has got to be the most compelling product I've seen in years - will prob bootstrap the next dozen billion-dollar consumer apps. 🚀
Kudos to the team @tulliemurrell @shaibruhis @heydaniel_c
Modern Data Stack and RecSys for the Reasonable Scale: what's not to like?
Shaped brings a fresh developer-first perspective to an evergreen ML problem.
I love that @shapedai has opened up each of the 4 stages of the recommender system via API. Other products are a black box. No idea what’s going on inside.
Shaped is designed exactly how developer first ML products should be built 🙌
I just met up with @heydaniel_c and got to learn more about what they’re building with @shapedai, which helps marketplaces with search & ranking.
It’s great to see such high caliber teams focused on building tools for marketplaces.
Just tried out @shapedai and it’s awesome 🔥
Easy to get a model set-up without pushing data anywhere and great docs
Shaped is democratizing these powerful tools so that any company can now leverage cutting edge AI to serve their customers.
ML in production is now 10x faster and easier.
@shapedai has reduced the time to add ranking to my product by 99%.
Made it super easy for me to experiment with things I would have never even tried to do before 🤯
We rolled our own recommendations system with my last marketplace, but using a product like Shaped is like having a whole ML team in your corner instead. Huge superboost for early platforms.
@shapedai is a super flexible API that gives developers full control over ML recommendation systems 👌 Love it!
Ready to get started?
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. Shaped is SOC 2 Type 1 in progress.
Built by scientists, engineers, designers, and product from
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