From the team.
Field notes on connecting sources, the Analyst agent and making messy data answer questions.
Why cited answers beat a black-box chatbot
A confident number you cannot verify is worse than no number at all. We made “show your working” a hard guarantee — every figure traces to the exact source row it came from.
Read article →One live model vs. building a data warehouse
A warehouse is months of pipelines, schema design and a copy of your data that is stale the moment it lands. We connect your sources into one live, queryable model — no ETL, no second copy.
FINANCEPlain-language querying for finance teams
Variance, runway, cohort margins — answered from the actual ledger, in seconds, by someone who has never written a line of SQL. And every number is one click from its source.
PLATFORMThe semantic layer: understanding a database it has never seen
Real schemas are cryptic — tables called tbl_acct_2, columns named flg and amt3. The semantic layer learns what they mean, so plain-language questions hit the right rows the first time.
DEPLOYMENTYour data, your walls: cloud, VPC or air-gapped
Some teams cannot send a single byte outside their perimeter. The same product runs multi-tenant in the cloud, single-tenant in your VPC, or fully air-gapped — your data never leaves your walls.