One voice line into your database. Ask a question in any of 140+ languages, get a truthful answer grounded in your data — not a hallucination. No dashboards. No licenses. No tokens.
We'll seed a workspace with your schema in 48 hours.
Pay per question you ask. Not per license · not per user · not per token.
Two are lies. One is the truth you already own.
It's scaffolding. Dashboards, seats, modules — all packaging around data you already have. You're paying rent on your own information.
LLMs hallucinate. They guess. They confabulate with confidence. An AI that invents data isn't intelligent — it's dangerous.
The answer already lives in your database. Your team already knows what to ask. We just connect the two — directly, truthfully, in any language.
The belief system behind every feature we build.
Your database is the single source of truth. Every answer comes from a real query, not a prediction.
Your people know what to ask. AI translates the question — humans supply the judgment.
Skip the dashboard. Skip the query builder. Just ask — in English, Hindi, Mandarin, or any of 140+ languages.
AI drafts the SQL, formats the answer, translates the language. It never decides. It never guesses. It serves.
Ask, Capture, Forge — one platform replaces a dozen tools.
Ask any question in natural language. Get a real answer from your real data — with charts, tables, and drill-downs generated on the fly.
Replaces: Tableau, Power BI, Looker
Voice-fill any structured record. CRM entries, HR onboarding, ticket capture — spoken naturally, validated instantly.
Replaces: CRM data entry, HRIS, ticket capture
Describe a process in plain language. Forge builds the multi-step workflow, adds approval gates, and deploys it — no code, no drag-and-drop.
Replaces: ServiceNow, Pega, Camunda
Your data, your rules, your infrastructure.
Runs inside your firewall. Data never leaves.
Deploy to your AWS, Azure, or GCP account.
We manage it, but it runs in your VPC.
Fully managed. SOC 2 Type II. Zero ops.
Most AI tools guess when they don't know. We refuse — and show you exactly what went wrong.
> What was our customer churn in Antarctica last quarter?
✘ I can't answer this question.
Reason: No rows matched the filter region = 'Antarctica' in the customers table. This region does not exist in your data.
SQL attempted:
SELECT COUNT(*) FROM customers WHERE region = 'Antarctica' AND churned_at BETWEEN '2025-10-01' AND '2025-12-31'
Try instead:
• "Show me all regions with churn data"
• "What was global churn last quarter?"
Pay per question. Not per seat, not per token, not per module.
Lookups, counts, filters. “How many orders came in today?”
~60% of queries
Single joins, basic comparisons. “Show me revenue by region.”
~25% of queries
Multi-join, groupings, charts auto-rendered. “Revenue by region vs last quarter.”
~12% of queries
Multi-step strategic analysis, analyst agent. “Why are my margins shrinking?”
~3% of queries
A 500-person company, before and after Ask Berean.
We'll connect to your database, seed a workspace with your schema, and show you real answers from your real data — in 48 hours.
We'll seed a workspace with your schema in 48 hours.
