Your data already has the answers. WeQuery makes it talk in 30 seconds.
Decide with facts, not gut feelings.
Real questions. Real answers.
What are my top 10 products by revenue this month?
Which page has the most organic traffic this week?
Which customers are most likely to churn in the next 30 days?
What is my ARR and how has it evolved over 12 months?
Which traffic source converts best this quarter?
Which customers opened the most tickets this month?
What are my top 10 products by revenue this month?
Which page has the most organic traffic this week?
Which customers are most likely to churn in the next 30 days?
What is my ARR and how has it evolved over 12 months?
Which traffic source converts best this quarter?
Which customers opened the most tickets this month?
What are my top 10 products by revenue this month?
Which page has the most organic traffic this week?
Which customers are most likely to churn in the next 30 days?
What is my ARR and how has it evolved over 12 months?
Which traffic source converts best this quarter?
Which customers opened the most tickets this month?
Has my cart abandonment rate changed compared to last month?
Which features do my most active customers use most?
Which day of the week generates the highest sales?
Which Google queries bring me the most clicks?
What is my average MRR by pricing segment?
Which region generates the most orders this quarter?
Has my cart abandonment rate changed compared to last month?
Which features do my most active customers use most?
Which day of the week generates the highest sales?
Which Google queries bring me the most clicks?
What is my average MRR by pricing segment?
Which region generates the most orders this quarter?
Has my cart abandonment rate changed compared to last month?
Which features do my most active customers use most?
Which day of the week generates the highest sales?
Which Google queries bring me the most clicks?
What is my average MRR by pricing segment?
Which region generates the most orders this quarter?
One question asked. One complete answer. In seconds.
Try "Which box has the worst ROAS?" or "SEO traffic vs ad spend by club"
The problem isn't your data. It's the hours you spend finding it, instead of deciding.
3 hours
to find the answer, 3 minutes to make the decision
You left with a gut feeling. Your competitor left with a data-backed decision.
80%
of analyst time, spent finding data, not analyzing it
Export. Paste. Filter. Format. Send. That's not analysis. That's plumbing at analyst rates.
48h
average internal data request turnaround
Two days of delay on a decision is two days handed to your competitors.
Process
No configuration files. No onboarding call. No data pipeline to build.
Paste your credentials. PostgreSQL, MySQL, BigQuery, Google Analytics. AES-256 encrypted, read-only. You know if it works in 10 seconds.
Type your question like a message to a colleague. 18 agents write the SQL, validate it, and run it. The answer appears in real time, and you always see the SQL.
Chart ready to share. Schedule a recurring report in one sentence. Your team answers its own questions, without a single ticket.
The most powerful AI in the world can't help if your data is poorly structured. The quality of answers depends directly on the quality of your data.
WeQuery works best when your data is well-structured. If it's not there yet, don't worry, our team will help you prepare your database before you get started.
Talk to the WeQuery team18 specialized agents verify every answer before it reaches you. Because a wrong number shapes a wrong decision.
The answer before the meeting moves on
Your CEO asks a question. Ten seconds later, the chart is on screen. The decision happens now, with numbers.
Six data sources. One conversation.
PostgreSQL, MySQL, BigQuery, Google Analytics, Search Console, query them all. No exports. No manual joins.
You find out Tuesday. Your competitors find out Friday.
WeQuery monitors your KPIs every 6 hours. A revenue drop, a signup spike: instant alert before it becomes a crisis.
Telegram alert · 2min ago
Slack · this morning
Define it once. WeQuery never forgets.
Tell WeQuery what 'MRR' and 'VIP customer' mean in your business. Every question after uses your exact definitions.
Monday's report arrives Sunday night.
Schedule a recurring question. It runs, formats itself, and sends results (Slack, Discord, Webhook) at the time you choose.
18 agents check every answer before you see it.
Schema analysis. SQL generation. Security validation. Coherence check. 18 agents, because a wrong number shapes a wrong decision.
Comparison
Metabase needs SQL. ThoughtSpot costs $50K/year. Looker needs a data engineer to configure its models. WeQuery is the one that actually means it when it says 'self-serve'.
W WeQuery | Metabase | ThoughtSpot | Looker | |
|---|---|---|---|---|
| Natural language (zero SQL) | SQL required | Partial | LookML required | |
| Setup | 5 minutes | 2-3 days | Weeks | Months + engineer |
| GA4 + Search Console native | ||||
| Automatic alerts | Basic | |||
| BYOK (your own AI key) | ||||
| Multi-agent (auto verification) | 18 agents | |||
| Scheduled reports |
Security
WeQuery was designed from day one with security as a non-negotiable constraint, not as a checkbox to tick.
Every database credential is encrypted with AES-256 Fernet before storage. Encryption keys are separate from the data. Decryption happens only at connection time, never during other operations.
WeQuery only executes SELECT queries. The Validator Agent physically blocks DROP, DELETE, UPDATE, ALTER, TRUNCATE, CREATE. Even if a model attempted to generate a destructive query, it would be rejected before execution.
Each organization is isolated by Row Level Security (RLS) at the Supabase level. No application bug can expose one organization's data to another.
WeQuery connects to your database to run SELECT queries. Results transit securely for display and AI analysis. We never permanently store your raw data.
AuthMiddleware validates the Supabase JWT on every protected endpoint. TenantMiddleware ensures users only access their organization's data.
HSTS, X-Frame-Options DENY, X-Content-Type-Options nosniff, XSS-Protection, Strict-Referrer-Policy. All OWASP Top 10 protections enabled by default.
Our head of operations started answering her own questions on a Tuesday. By Thursday, she had solved a problem she'd been waiting two weeks for. Our dev got back 12 hours a week. For the first time, he's actually building, not fielding ad-hoc requests.
Tuesday night, 11pm, my phone buzzes. Alert: 23% revenue drop. I traced the issue by 2am. Friday morning, my competitors still had the problem. I'd been out of the crisis for three days. That single alert saved us 40K.
Our head of operations started answering her own questions on a Tuesday. By Thursday, she had solved a problem she'd been waiting two weeks for. Our dev got back 12 hours a week. For the first time, he's actually building, not fielding ad-hoc requests.
Tuesday night, 11pm, my phone buzzes. Alert: 23% revenue drop. I traced the issue by 2am. Friday morning, my competitors still had the problem. I'd been out of the crisis for three days. That single alert saved us 40K.
Our marketing team asked more questions about their data in one month with WeQuery than in the two years before it. Zero SQL. Zero tickets to the CTO. Zero 'can you pull this for me.' For the first time, marketing decisions come with actual numbers.
Before WeQuery, every question took 3 days and a back-and-forth with the data team. Now I type my question and get the answer in 30 seconds. It feels like having a dedicated analyst.
Our marketing team asked more questions about their data in one month with WeQuery than in the two years before it. Zero SQL. Zero tickets to the CTO. Zero 'can you pull this for me.' For the first time, marketing decisions come with actual numbers.
Before WeQuery, every question took 3 days and a back-and-forth with the data team. Now I type my question and get the answer in 30 seconds. It feels like having a dedicated analyst.
We connected our 4 Postgres databases in 10 minutes. On day one, customer support found a billing bug no one had noticed for 3 months. Immediate ROI.
I used to spend my Monday mornings compiling Excel dashboards for the exec team. Now I schedule an automated report and it's done. I got my Mondays back.
We connected our 4 Postgres databases in 10 minutes. On day one, customer support found a billing bug no one had noticed for 3 months. Immediate ROI.
I used to spend my Monday mornings compiling Excel dashboards for the exec team. Now I schedule an automated report and it's done. I got my Mondays back.
Utilisé par des équipes dans tout le spectre

Analytics Engineer & Founder of WeQuery
“I was overwhelmed. On one side, the technical work, pipelines, modeling, infrastructure. On the other, 5 teams waiting for answers only I could pull. I had no time left to actually analyze. So I built a tool that could do my analyst job and answer teams in 10 seconds, without me in the loop.”
Analytics Engineer at Generation Voyage (travel media, millions of visitors/month). Too much engineering, not enough time for analysis. WeQuery is the tool I wish I had.
FAQ
Tell us where you're at. We'll show you WeQuery on your data, reply within 24 hours.
Your next big decision
Book a demo. We connect to your data and show you, live, the answers WeQuery can pull for your team.
P.S. We reply within 24 hours. No sales fluff, just a concrete demo on your own use case.