Shaped

Shaped is a Value Modeling and AI-powered recommendations platform designed to optimize business objectives by turning user behavior into actionable relevance. It provides a configurable control panel that connects to your existing data sources, ingests real-time signals, and adapts rankings and retrievals on the fly to improve engagement, conversion, and retention.

Key capabilities

• Real-time adaptability: Ingests behavioral signals and re-ranks results in real time to reflect current user interactions.
• State-of-the-art model library: Fine-tunes large language models (LLMs) and neural ranking models for top-tier performance.
• Highly customizable: Build and experiment with ranking and retrieval components tailored to any use case.
• Explainable results: In-session analytics and performance metrics to visualize, evaluate, and interpret data.
• Secure infrastructure: Enterprise-grade security compliant with GDPR and SOC2.
• Broad platform applicability: Solutions for Marketplaces, Social Media, Media Platforms, E-Commerce, and more.
• Easy integration: Quick connection to data sources, rapid model training, and full app integration.
• Standout performance metrics: Demonstrated gains such as increased redemption rate, average order value, and diversity.

How it works

• Overview: Shaped provides a balance of ease-of-use and deep control over features and models, enabling teams to deploy sophisticated ranking systems without starting from scratch.
• Designed for technical teams: Suitable for data scientists, ML engineers, and developers; supports direct data warehouse integration with minimal setup.
• Data-to-model workflow: Connect data stores, train models, and deploy ranking components across multiple use cases in minutes to days.
• Multi-modal data handling: Uses transformers and LLMs to understand unstructured data (text, images, etc.) for richer ranking signals.

Use cases

• Personalization and recommendations across marketplaces, social platforms, media subscriptions, and e-commerce experiences.
• Real-time ranking for product feeds, content recommendations, and personalized experiences.
• Cross-domain deployment: Create dozens of ranking models for different teams and scenarios.

Security and privacy

• Data handling: Reads data from connected data stores; most data is discarded after training. Non-identifiable encoded features may be used at inference.
• Data in transit and at rest: Encryption with TLS 1.2+ and AES-256 at rest.
• Access control: Role-based authentication, audit logs, and multi-tenant isolation. Isolated VPCs for production deployments.

Pricing and value

• Pricing: Flat-fee monthly, based on usage with estimates provided after discussing monthly active users and item counts.
• Value: Real-world lifts in engagement, conversions, and retention, demonstrated by client use cases and benchmarks.

How to get started

• Connect data sources in minutes.
• Train your first model in hours.
• Fully integrate into your app in days.

Differentiators vs alternatives

• Multi-modal data understanding: Handles unstructured data types beyond text.
• Data-centric integration: Direct connection to data warehouses with effortless deployment.
• Real-time ranking: Focused on live ranking across numerous touchpoints, not just batch recommendations.
• White-glove support: Hands-on guidance for data modeling and deployments.

Core Features

• Rapid connect-and-go data integration with existing data sources
• Real-time re-ranking based on user behavioral signals
• Fine-tunable LLM and neural ranking models
• Highly customizable ranking and retrieval components
• In-session analytics with explainable performance metrics
• Enterprise-grade security: GDPR and SOC2 compliance
• Multi-platform applicability: Marketplaces, Social Media, Media Platforms, E-Commerce, etc.
• Multi-modal data understanding for improved ranking
• Seamless onboarding: minutes to connect, hours to train, days to deploy