Turn messy enterprise unstructured data into AI-ready datasets in minutes.
Best for: Enterprise AI teams building RAG or agent systems at scale, Data engineers overwhelmed by manual prep of SharePoint, email, and PDF repositories
Agentic AI platform that compresses hardware test programs for battery, automotive, aerospace, and wearables engineering teams.
Best for: Battery cell and pack validation teams compressing cell-to-pack development cycles, Automotive test engineers making predictive cut decisions from early test data
Self-hosted financial workspace where data, dashboards, and governed AI agents run on infrastructure you own
Best for: Buy-side teams that need custom data workflows with full data ownership, Quantitative analysts building AI-driven dashboards over governed data
AI data observability for open lakehouses: continuous validation and Data Reliability Agents that keep agentic AI on trustworthy data.
Best for: Enterprise data engineering teams managing multi-cloud lakehouses on Iceberg, Delta Lake, or Parquet, AI/ML and agentic workflow teams that need fit-for-purpose data with queryable context
Basedash Autopilot: AI-native BI where every answer comes from your governed metric definitions — and shows the SQL.
Best for: Startups and ops teams that want flat-rate BI instead of per-seat licensing across 25 or fewer users, Data teams that need AI answers to trace back to a governed definition and the underlying SQL
Ask your database in plain English and get live answers, dashboards, and automated alerts — no SQL required.
Best for: Sales managers who want stuck-deal queries turned into automatic Slack reminders for owners, Operations teams monitoring inventory thresholds and emailing reorder lists when SKUs run low
Real-time transaction enrichment API turning messy payment data into verified merchant, category, and location records in under 50ms.
Best for: Fintechs building hyper-local rewards programs that need merchant and exact-location precision, Banks and card issuers improving real-time authorization decisions and cutting false declines
Free AI analytics skills that turn live Databox metrics into reports, insights, and recommended actions
Best for: Marketing managers who want a Monday-morning GA4, Search Console, and CRM growth read without SQL, Agencies monitoring many client accounts via scheduled Slack root-cause and ranking alerts
AI-native graph database engine that fuses GraphRAG vector search with OpenCypher traversal at sub-10ms P99 latency
Best for: AI engineers building GraphRAG pipelines who need vector similarity and graph traversal in one query, Platform teams running multi-tenant SaaS that needs isolated per-customer knowledge graphs
OneSchema uses AI agents to automate messy file ingestion, normalization, and reconciliation for regulated industries.
Best for: System integrators normalizing messy client data across many source systems, Healthcare and life sciences teams reconciling patient, claim, and remittance files from EHRs and clearinghouses
Engineering intelligence platform that attributes AI-generated code to specific agents and measures AI ROI against DORA, SPACE, and DX metrics.
Best for: Engineering leaders at 100+ engineer orgs running multiple AI coding agents and needing per-agent output data, CTOs who must show the board what AI coding tool spend actually returned in delivery terms
Autonomous AI agents that find hidden fleet costs, predict failures, and identify risks in real-time.
Best for: Fleet managers at midsize to large fleets with mixed vehicle types, Operations directors seeking to reduce fuel, maintenance, and insurance costs
AI-agent interviews map how your company actually works, then Foaster builds your AI transformation roadmap.
Best for: Mid-market to enterprise companies (50+ employees) pursuing AI transformation, Organizations with unclear or undocumented operational processes
