Finesse by Skippr AI
Shares tags: ai, image-generation
ShapedQL is an AI tool developed by Shaped that enables developers and businesses to deliver real-time personalized recommendations and search functionalities.
overview
ShapedQL is a real-time AI-powered recommendation and search tool developed by Shaped that enables developers and businesses to deliver personalized content based on user interactions. It ingests diverse data types and employs machine learning algorithms for optimizing engagement and conversions.
quick facts
| Attribute | Value | |-----------|-------| | Developer | Shaped | | Pricing | Freemium | | Platforms | Web | | API Available | Yes | | Integrations | Snowflake, BigQuery, Redshift, Databricks |
features
ShapedQL provides various capabilities designed for real-time data processing and personalization.
use cases
ShapedQL primarily targets developers and small businesses looking for efficient solutions to enhance user engagement and conversions.
pricing
ShapedQL offers a freemium pricing model providing up to $300 in free credits to new users, allowing for various experiments and initial implementations. For enterprise needs or larger deployments, users must contact the company.
competitors
ShapedQL distinguishes itself through its capability to process multi-modal unstructured data effectively.
Amazon Personalize is a fully managed machine learning service that delivers personalized recommendations using user behavior, item metadata, and contextual data with seamless AWS integration.
Like ShapedQL, it focuses on real-time personalized recommendations to boost engagement and revenue, supporting multiple data sources and APIs for easy integration. It targets large-scale e-commerce and media businesses, with pay-as-you-go pricing that can be more scalable for enterprises compared to ShapedQL's freemium model.[2]
Google Recommendations AI leverages deep learning and reinforcement learning algorithms integrated with Google Cloud services for highly accurate, real-time product recommendations.
It competes directly with ShapedQL by providing adaptive, personalized search and recommendations optimized for conversions, ideal for businesses in Google's ecosystem. Pricing is usage-based similar to enterprise tools, appealing to the same audience seeking revenue growth but requiring more ML infrastructure expertise.[2]
Braze is a customer engagement platform that combines personalization, recommendations, and cross-channel messaging with real-time data orchestration.
Braze offers similar AI-driven personalization and ranking for recommendations as ShapedQL, but extends to marketing automation and email, targeting mid-to-large enterprises. It positions as a broader alternative in personalization software, with tiered pricing beyond freemium that may suit teams needing integrated engagement tools.[5]
Klaviyo specializes in AI-powered email and SMS personalization with advanced segmentation and predictive analytics for e-commerce brands.
It mirrors ShapedQL's focus on increasing conversions through real-time adaptive recommendations, particularly strong for e-commerce audiences. While ShapedQL emphasizes search and feeds via a unified API, Klaviyo excels in email-centric personalization with freemium-like starter plans scaling to paid tiers.[5]
ShapedQL is a real-time AI-powered recommendation and search tool developed by Shaped that enables developers and businesses to deliver personalized content based on user interactions. It ingests diverse data types and employs machine learning algorithms for optimizing engagement and conversions.
ShapedQL operates on a freemium model, offering $300 in free credits for users to experiment with the platform.
Key features include multi-modal embeddings for various data types, real-time ranking for user engagement, SQL and LLM-based data mutations, automated model training, and ingestion from numerous data sources.
ShapedQL is suitable for developers working on AI applications, small businesses seeking customizable recommendations, product teams needing data-driven solutions, and decision-makers in media platforms aiming for personalized user experiences.
ShapedQL provides significant advantages in handling multi-modal data and real-time personalization, differentiating itself from competitors who rely on more traditional data processing methods.