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Personal AI agent that builds custom mini-apps and tools on request and remembers your preferences to help with daily life.
AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.
Vertical AI platform delivering industry-specific predictive, generative and agentic applications for retail, finance and industrial firms.
High-performance open-source vector database for production AI retrieval and RAG, for teams needing scale, hybrid search, or self-hosting.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Personal AI agent for daily life
- ✦Deep Memory that remembers user preferences
- ✦Builds custom tools and mini-apps on request
- ✦Personality test for personalization
- ✦Mobile app
- ✦Content and template library
- ✦AI coding IDE with agent orchestration
- ✦Run and manage multiple agent sessions
- ✦Task, artifact and collaboration tools
- ✦Bring-your-own AI subscription or API keys
- ✦Cloud-scale agent execution
- ✦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
- ✦Hybrid dense and sparse vector search (BM25, SPLADE, miniCOIL)
- ✦Advanced metadata filtering applied during search traversal
- ✦Multivector support for multimodal retrieval
- ✦Reranking with score boosting and late-interaction models (ColBERT, MMR)
- ✦Flexible deployment: cloud, hybrid, private, or edge
- ✦Rust-based engine optimized for low-latency, high-scale search
- →Getting personalized help with daily tasks
- →Generating small custom tools on demand
- →Building an AI that remembers your context
- →Creative writing and story generation
- →Shipping code faster with AI agents
- →Coordinating agent work across a team
- →Managing tasks and artifacts in one place
- →Running many parallel agent sessions
- →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
- →Building retrieval-augmented generation (RAG) pipelines
- →Powering AI recommendation and semantic search systems
- →Enterprises needing on-prem or hybrid deployment for compliance
- →AI agent platforms needing fast contextual retrieval at scale