Ask your data anything.Lala answers in seconds.
QuerySphere turns your company databases into conversations, reports and live dashboards — in your business's own language and context.
Sample data from a fictional company.
Connects to the data you already have
Everything between your database and the decision.
Plug in the data you already have.
Read-only connections to Postgres, MySQL, SQL Server, Snowflake, BigQuery, or a quick CSV and Excel upload. Live in minutes.
Meet Lala, your AI data analyst.
Lala understands the question, plans and writes the query, checks the result, and explains what it found — so you can trust the number.
“What was our gross revenueAtlas · metric by categoryAtlas · dimension this quarterAtlas · period vs last?”
Sample data from a fictional company.
Understands your business
Through Atlas, Lala uses your metric definitions, terms and rules — not guesses.
Shows its work
See the SQL it ran and the assumptions it made, whenever you want.
Asks before it guesses
When a question is ambiguous, Lala asks a clarifying question first.
One question. Three ways to answer.
Chat for quick follow-ups. Report for deep, structured documents you can download and schedule. Dashboard for live views that refresh on their own.
Sample data from a fictional company.
Atlas: your business, mapped.
Atlas gives Lala a shared understanding of your business — so answers are consistent, explainable and governed. It learns from usage, and admins curate it.
Net revenue
Curated by adminNet revenue = SUM(sales.revenue × (1 − discount_pct)). Excludes VAT and returns.
- Synonyms
- net sales, turnover
- Owner
- Finance
- Sources
- sales.revenue, sales.discount_pct
Sample data from a fictional company.
Answers that understand where and how you do business.
Ready-made packs for countries, regions and sectors: regulatory and compliance rules, currency, timezone and fiscal calendar, cultural context and language. Add your own documents and glossary on top.
- Regulatory & compliance
- Regional settings
- Cultural context
- Language
Admins can layer their own documents, glossary and settings on top.
- Fiscal year
- FY 2018 E.C. · Hamle 1 – Sene 30 (8 Jul 2025 – 7 Jul 2026)
- Timezone
- EAT (UTC+3)
- Formats
- ETB 1,320,000,000 · dd/mm/yyyy
- Language
- Amharic and English business terms understood
- Cultural context
- Ethiopian calendar and public holidays (Meskel, Timkat) recognised
Sample data from a fictional company.
Control without the bottlenecks.
Owners and admins manage members, data connections, AI models, context, opener cards and limits — while everyone else just asks.
Members
Sample data from a fictional company.
A demo workspace for your industry.
Pick an industry and explore a realistic fictional company with its own data, org structure and questions.
Built to be trusted with your data.
Read-only connections
QuerySphere never writes to your databases.
Encrypted credentials
Connection secrets are encrypted at rest and never shown again.
Role-based access
Owners, admins and members, with access set per data source and table.
Query limits
Set daily question limits per member or role.
Private by default, shared on purpose
Conversations stay private until you choose to share.
Bring your own LLM
Use QuerySphere's managed models or your own API keys.
Every team has questions. Few have analysts.
Most decisions wait in a queue for someone who can write SQL. Lala gives every team direct, governed access to answers.
Data is useless without context.
Atlas and context presets encode what your numbers mean — your metrics, your fiscal calendar, your regulations — so answers are right the first time.
From answer to action.
Answers become shared reports, scheduled emails and live dashboards — the work product teams actually use.
Your own demo workspace, in your industry.
- 1Tell us about yourself
Share a few details and pick your industry.
- 2Get approved
The workspace owner approves your request, usually within a day, and you get an email.
- 3Sign in and ask
Get a quick tour of your demo company's org structure and data, then ask Lala anything — 10 questions per day.