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Managed AI ranking engine powering personalized search, recommendations, and feeds via a SQL-like query language.
Vertical AI platform delivering industry-specific predictive, generative and agentic applications for retail, finance and industrial firms.
AI study suite for students with 25+ tools including an essay writer, math solver, citation finder and text humanizer.
Fast, developer-friendly open-source search engine and AI retrieval platform offering full-text, semantic, and hybrid search.
Free trial available
No public pricing
No public pricing
Free trial available
- ✦ShapedQL SQL-style query interface for retrieval and ranking
- ✦Hybrid semantic and keyword search
- ✦Continuous learning from user feedback signals
- ✦30+ native data connectors for warehouses and streams
- ✦Sub-50ms query latency
- ✦Python and TypeScript SDKs plus MCP support
- ✦Industry-specific AI applications (retail, finance, industrial, IT, media)
- ✦Eureka platform for making enterprise data AI-ready
- ✦Agentic AI agents for tasks like SAR drafting or inventory routing
- ✦Financial-crime alert reduction and investigation tools
- ✦Demand forecasting and shelf/pricing optimization
- ✦Real-time industrial root-cause analysis
- ✦AI essay writer with APA/MLA/Chicago/Harvard citations
- ✦Step-by-step math solver
- ✦Research and scholarly citation finder
- ✦AI text humanizer with style presets
- ✦Flashcard and study-material generation
- ✦Sub-50ms search-as-you-type
- ✦Full-text, semantic, and hybrid search
- ✦Vector storage for RAG and similarity queries
- ✦Multimodal and federated search
- ✦Filtering, faceting, sorting, and geosearch
- ✦Managed cloud or self-hosted open source
- →Personalizing 'for you' content feeds
- →Building product recommendation systems
- →Powering RAG retrieval with behavioral ranking
- →Adding hybrid search to an e-commerce site
- →Retailers optimizing pricing, inventory and promotions
- →Banks reducing false-positive fraud and AML alerts
- →Manufacturers diagnosing production downtime in real time
- →Enterprises building custom AI agents on their own data
- →Drafting cited essays
- →Working through math problems
- →Finding and formatting academic sources
- →Creating study materials from notes
- →Adding fast site or app search
- →Building AI/RAG retrieval pipelines
- →E-commerce and media search experiences
- →Semantic search over private data