Traceable AI for billion-dollar infrastructure risk assessment.
Best for: Asset owners of hyperscale data centers needing site due diligence and monitoring, Mining operations, including tailings storage facilities and open pit excavations
On-premise industrial AI assistant for plant operations with zero cloud dependency.
Best for: Industrial plant operators needing natural language access to equipment status and queries, OT engineers requiring real-time monitoring and control with human-in-the-loop safety
AI agents that auto-tag, analyze, and generate winning ad creatives across 15+ networks.
Best for: Performance marketers at mobile games, DTC brands, subscription apps, and agencies, Growth teams needing automated creative tagging and tag-level analytics
Open-source orchestration for data, AI, and infrastructure workflows
Best for: Data engineers orchestrating ETL/ELT pipelines with dbt, Airbyte, Spark, Platform teams automating CI/CD and infrastructure workflows (Terraform, Ansible)
Open-source agentic analytics platform to connect any LLM to your data with governance and observability
Best for: Data teams needing a governed AI analytics layer with version control and audit trails, Analytics engineers who treat context as code and use git, dbt, or LookML
AI operating system for value-based care: live data, six role-specific copilots, automated action.
Best for: Medicare Advantage health plans managing Stars and risk adjustment (RADV-defensible), IPAs and MSOs with delegated risk-bearing contracts — unify duplicate outreach
White-label AI data importer for B2B SaaS onboarding
Best for: B2B SaaS products that need embedded customer data import to shorten onboarding, Platforms onboarding sellers or partners with varied product catalog formats
AI research assistant for reproducible data analysis inside VS Code.
Best for: Academic researchers using VS Code who need AI-assisted data analysis with literature grounding, Data scientists valuing reproducibility and data lineage tracking
AI chatbot that turns raw data into Excel formulas, dashboards, apps, and presentations.
Best for: Data analysts automating formula generation, data cleaning, and report creation, Marketing teams turning raw data into dashboards, presentations, and web tools
Reliable AI analytics on messy enterprise data, no cleanup needed.
Best for: Data engineers needing automated catalog and quality on messy warehouse data, Data analysts wanting faster SQL and documentation without manual hunting
