Your warehouse, molecularly intelligent
Pull compound libraries from Snowflake, Databricks, BigQuery, or Supabase. Run ADMET predictions and compliance screening across every row. Push enriched results back. Schema discovery and field mapping included — without ETL engineering or new infrastructure.
How it works
Connect, enrich, push back
Snowflake, Databricks, BigQuery, Supabase — connect with credentials or OAuth. Schema discovery introspects your tables and auto-detects the SMILES column. Choose processing tools, preview the cost, and run. Results land back in your warehouse — without writing a single line of pipeline code.
Every row, fully characterized
ADMET predictions, regulatory compliance, drug-likeness, and structural alerts computed for every compound in your library. 31 ML models and 8 regulatory jurisdictions — applied per-row, not per-batch. Each row gets its own complete molecular profile.
ADMET Radar — Aspirin
CC(=O)Oc1ccccc1C(=O)O
85%
Abs
72%
Dis
91%
Met
78%
Exc
64%
Tox
Large libraries, tracked
Enrichment jobs run async for large libraries — up to 10,000 rows per pipeline. Track progress from the jobs dashboard or ask your AI. Credit cost previewed before execution. Full per-molecule audit trail for every pipeline run.
NovoMCP
Compute Jobs
Active
2
Completed today
18
Avg runtime
7m
The enrichment workflow
Connect
Add your Snowflake, Databricks, BigQuery, or Supabase credentials. OAuth for BigQuery — no service accounts needed.
Discover
Schema introspection finds your tables, columns, and types. The SMILES column is auto-detected. Preview row count and sample data.
Preview cost
Choose processing tools — ADMET, compliance, properties, optimization. See the exact credit cost before committing. The estimate doubles as a 21 CFR Part 11 audit artifact.
Enrich
Run the pipeline. Every row processed through your selected tools. Results written row-by-row with per-molecule audit logging.
Push back
Enriched results land in your destination table — the same warehouse, a different schema, or a new connector entirely.
Connector capabilities
Available on Team and Enterprise tiers.
Snowflake
Account identifier, username, password. Specify warehouse, database, and schema. Full read/write access.
Databricks
Personal access token with workspace URL. Target catalog and schema. Unity Catalog compatible.
BigQuery
OAuth — click "Connect with Google" and authorize. No API keys or service accounts needed. Tokens refresh automatically.
Supabase
Connection string from your project dashboard. Service role key for full access. PostgreSQL-compatible.
Schema discovery
Introspect tables, columns, and types. Auto-detect SMILES columns. Normalize to 5 standard types. Filter by name pattern.
Audit trail
Per-molecule processing log for every pipeline run. SMILES validation, tool results, dispositions, exclusion reasons. 21 CFR Part 11 compliant.
Connect your warehouse
Pull compounds, enrich with molecular intelligence, push results back. Set up in under five minutes.