An analytics platform that answers, not just searches.
Upload your files, ask a question, and get a grounded answer with the exact rows it came from. No SQL, no dashboards to configure, no data engineering.
Connect everything. Chat with anything.
Every source flows into one semantically-curated core — then back out as grounded, auditable answers, dashboards, and actions.
Built for enterprise-grade data at real scale.
Understands your business logic
Column semantics, KPIs, date ranges, and fiscal calendars are learned at ingestion — not guessed at query time.
GB-scale, instant answers
Apache DataFusion scans Parquet with predicate pushdown across your whole data estate. No sampling, no slowdowns.
Hybrid retrieval
OpenSearch combines keyword (BM25) and vector search with native RRF ranking across structured tables and documents.
Every answer is auditable
Results link back to the exact file, sheet, and row — the paper trail finance and compliance teams need.
Any file, any size
Excel, CSV, Parquet, PDF, and DOCX up to 10 GB+. Files are cleaned, typed, and indexed automatically.
Cross-file relationships
The platform detects how your datasets relate, so questions can span multiple files without manual joins.
Four steps, fully deterministic.
Retrieve
Hybrid search surfaces the files and tables relevant to your question.
Plan
A semantic planner resolves entities and selects validated join paths.
Execute
DataFusion runs deterministic analytical SQL over Parquet — lazily, at scale.
Answer
A grounded response is synthesized with evidence linked to source rows.
Put it on your own data.
Replace hours of manual reporting with a single question.