Real-time AI for personalization

Infrastructure for recommendations,
search and user modeling.

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Built by ranking experts

Inspired by the companies we previously worked at, built better, for everyone.

  • 💪  Double your engagement

  • 🛒  Increase conversions by 20%

  • 📈  Improve retention by 30%

and more...
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Top picks for you
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Frequently bought together

Conquer the cold-start

Adapt in real-time by personalizing every user session.

  • ⚡  Re-rank in seconds

  • 🔌  Real-time data ingestion

  • 💾  Use all your data

Designed for developers

We handle the data engineering, model training, and deployment difficulties for you.

  • 🤗  Easy-to-use APIs

  • 💻  Completely customizable and configurable

  • 🔬  Easy experimentation

Create Model
Rank Request

We pull so you don’t have to push

Shaped connects directly to where your data lives.

  • ⌨️  Declarative SQL APIs

  • 🙌  Handles transforms in real-time

  • ✅  No manual work for you

Case Studies

For the past year, we've been using Shaped and gotten 24%+ engagement increases with each model deployed. Shaped is now vital part of our infrastructure, sparing our team the complex task of building and maintaining a custom ML stack.

Working with Shaped has been impressive – first model ready in a day, production deployment in under a week. We're in a space where our competitors are struggling to add personalization and we're growing because of it. To avoid giving them an edge, I'm keeping my identity anonymous.

Co-founder and CTO, YC company

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.

John Barnett
CEO at Chroma Labs (acquired by Twitter)

We had two options when we decided to add ranking and search to our product: hire an ML team or use a vendor. Hiring an ML team would have taken more time and money, but would have given us more control. Vendors are typically faster to get started with, but they can be a black-box with limited customizability.

We found Shaped to be the best of both worlds. Easy to get started while affording complete control over our features and models.

Mishaal Al Gergawi
Co-founder and CEO, Axis

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.

Maddison Hawkinson
Head of Data Science and Machine Learning at Thrasio

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Listen to what experts are saying...

  • Daanish Khazi

    @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

  • Jacopo Tagliabue

    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.

  • Sammy Sidhu

    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 🙌

  • Mike Williams

    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.

  • Sahil Madan

    Just tried out @shapedai and it’s awesome 🔥

    Easy to get a model set-up without pushing data anywhere and great docs

  • John Barnett

    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.

  • Mishaal Al Gergawi

    @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 🤯

  • Rachael Wood

    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.

  • Farbod Motlagh

    @shapedai is a super flexible API that gives developers full control over ML recommendation systems 👌 Love it!

Why Shaped?

  • No maintenance

    Deploy in 1 sprint
  • Use all of your data

  • White-glove support

    Hands-on with your data
    Private Slack
  • Secure by design

    SOC 2

Deploy in days

With models that train in hours you can take months off your roadmap.

  • 🔌  Direct connect to your data

  • 🏋️  Pre-trained models

  • 👩‍🔬  Skip to experimentation


Get up and running in just 1 sprint 🏃

Guaranteed lift within first 30 days ✅

For developers

Waitlist for public API keys
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For companies 🏢

Schedule a demo with your data️
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How long will it take to integrate?

The integration process is quick. You can connect your data to Shaped in minutes, train your first model in hours, and fully integrate into your app in days.

How does Shaped compare with Algolia, AWS Personalize...?

Firstly, we provide white-glove-support to build your ranking models. You can think of Shaped as your AI team for any personalization tasks. Together we’ll set business metric objectives and continuously work towards them. Secondly, we make it easy to get started and iterate because we connect directly to your data warehouse or application stores. Finally, Shaped incorporates the latest AI technologies such as Large Language Models (LLMs) to understand all data types. This helps address the cold-start problem and means you can get started with much less data than previously required.

For more information see these blog posts comparing Shaped with Algolia and Shaped with AWS personalize.

Can I use Shaped for multiple use-cases?

Certainly! Shaped is designed to be used for all of your personalization use-cases. Once your data is connected to Shaped creating additional bespoke models is easy. See our docs for more information.

How much data do I need?

There is no minimum amount of data required. Collecting interactions, for example clicks, views and or impressions is the only requirement.

For more information see this blog post How much data do I need for a recommendation system?

Why shouldn’t I build this in-house?

The high cost of hiring multiple machine-learning engineers, the long time required to build and the on-going full-time maintenance required. We handle scalability and reliability without the worries. 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 flat-fee monthly determined by usage. Once we understand your approximate number of monthly active users, items counts, and particular implementation details, we’ll be able to provide a pricing estimate.

How do you handle my data?

Shaped was built from the ground-up with security as a top priority. We operate as a cloud software-as-a-service (SaaS) platform, and only retrieve from your connected datastores when necessary to build your ranking algorithms. After training, most of your data is discarded, other than specific non-identifiable encoded features that are used at inference. We only require read access to your datasets and customer data never has to be persisted within Shaped. Furthermore, Shaped works on encrypted data if you need an added layer of security.

Shaped uses best physical, virtual, network and operational security practices. We rely on role-based authentication for all data access and records audit logs for every action. We avoid data replication and have clear multi-tenant isolation policies to ensure sensitive and critical systems are separated. Shaped uses isolated VPCs for all production deployments. Data is encrypted at rest using AES-256 encryption or higher and all ingress and egress traffic is encrypted via TLS 1.2+.

For more information see here.