Business users are drowning in reports, dashboards, and BI tools that are slow to deliver insights. Getting answers often means waiting for analysts, learning SQL, or wrangling dashboards.
We built QuaerisAI to make data as easy to ask as a question on Google. Instead of BI reports, you can simply type or speak:
“What was our Q2 revenue by region?”
“Which contracts are expiring in the next 60 days?”
“Show me top customers by growth this year.”
QuaerisAI instantly returns a chart, table, or document excerpt — always with a citation so you can verify the source.
Why it’s different:
Works with both structured data (databases/warehouses like Snowflake, Redshift) and unstructured documents (contracts, resumes, invoices).
No dashboards, no coding. Plain English questions only.
Companies can plug in their own AI model (OpenAI, Anthropic, LLaMA) or use QuaerisAI’s.
Fast setup — live in a day for hundreds of users.
Who’s using it:
Finance teams, sales, HR, legal, and operations. A CFO can ask: “Show me all contracts above $100K expiring this year.” A recruiter can upload resumes and ask: “Which candidates have 5+ years of Java experience?”
Benefits we’ve seen:
Saves time (real-time answers, no waiting days).
Cuts costs (less dependence on BI teams).
More adoption (non-technical employees use it directly).
Trustworthy (always backed by sources).
We’re working with partners like Snowflake and Fivetran, and customers across finance, healthcare, and manufacturing.
We’d love feedback from the HN community on:
How you see conversational BI fitting into your workflows.
Gaps you think still remain in current BI/analytics tools.
quaerisai•5mo ago
We built QuaerisAI to make data as easy to ask as a question on Google. Instead of BI reports, you can simply type or speak:
“What was our Q2 revenue by region?”
“Which contracts are expiring in the next 60 days?”
“Show me top customers by growth this year.”
QuaerisAI instantly returns a chart, table, or document excerpt — always with a citation so you can verify the source.
Why it’s different:
Works with both structured data (databases/warehouses like Snowflake, Redshift) and unstructured documents (contracts, resumes, invoices).
No dashboards, no coding. Plain English questions only.
Companies can plug in their own AI model (OpenAI, Anthropic, LLaMA) or use QuaerisAI’s.
Fast setup — live in a day for hundreds of users.
Who’s using it: Finance teams, sales, HR, legal, and operations. A CFO can ask: “Show me all contracts above $100K expiring this year.” A recruiter can upload resumes and ask: “Which candidates have 5+ years of Java experience?”
Benefits we’ve seen:
Saves time (real-time answers, no waiting days).
Cuts costs (less dependence on BI teams).
More adoption (non-technical employees use it directly).
Trustworthy (always backed by sources).
We’re working with partners like Snowflake and Fivetran, and customers across finance, healthcare, and manufacturing.
We’d love feedback from the HN community on:
How you see conversational BI fitting into your workflows.
Gaps you think still remain in current BI/analytics tools.
What features you’d want in a tool like this.