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See what financial AI knew.
Keep current financial context while preserving the point-in-time memory behind research, risk, and operations decisions.
Proof points
Keep the workflow reviewable.
event_time, ingestion_time, valid_from, valid_to: every fact reconstructable as of any date.
Flag facts ingested after the simulation date so a backtest isn't poisoned by lookahead bias.
Chinese walls enforced in Postgres RLS, keyed on barrier_group, not in app code.
Hash-chain verification and exportable records for your internal supervisory or model-risk review process.
Beneficial-ownership and conflict paths via the relationship graph.
Ticker, ISIN, CUSIP, and metric normalization out of the box.
See it: as-of recall
Recall any date.
A first production boundary
Start with one decision reviewers already challenge.
Choose one research, risk, or operations workflow. Lians maps the source versions, retrievals, policy checks, tools, approvals, and downstream action into a reviewable decision receipt, then tests whether the same historical boundary can be reconstructed after the data changes.
Connector priorities
Where the data lives.
Bloomberg, FactSet, Refinitiv / LSEG, Snowflake, Databricks, S3 data lakes, OMS/EMS exports, and trade-surveillance tools.