Introducing Mora
Semantic layer +
verified SQL trace
Ask in plain English and inspect the verified SQL trace. Every answer maps to your semantic layer and warehouse.
Three steps
no engineers required

01
Everything you need
in one single platform
Natural language to SQL
Mora translates plain English questions into optimized SQL — across Stripe, Salesforce, HubSpot, your warehouse, and every other connected source. You see the generated SQL and can edit it if you want.
Multi-source reasoning
Ask a question that spans billing and CRM data in a single query. "Which accounts in our enterprise segment have had 3+ support tickets and declining MRR?" Mora joins across sources automatically.
Context-aware follow-ups
Mora remembers the context of your conversation. "Now show me just Q4" or "Add product usage data" — each follow-up builds on the previous query without starting over.
Automated visualizations
Every answer comes with the right chart — Mora selects the visualization type based on the data shape. Time series get line charts. Comparisons get bar charts. Distributions get histograms. You can customize or override.
Answer explanations
Mora doesn't just return numbers. It explains what the data shows, highlights notable patterns, and flags anomalies — so you can share insights with your team without additional analysis.
Query history and saved questions
Every question you've asked is saved and searchable. Pin your most-used queries, share them with teammates, or schedule them to run on a recurring basis.
Built for the moments
that drive revenue
Revenue team standup
Start your morning by asking "what happened to our revenue yesterday?" and get a complete daily briefing — new MRR, churned accounts, expansion, contraction — in seconds.
Board prep
Ask the questions your board will ask before they ask them. "What's our burn multiple?" "How does NRR compare to last quarter?" "What's our pipeline coverage for Q3?" Prepare in minutes, not days.
Ad-hoc investigation
A metric looks off in your dashboard. Instead of filing a ticket, ask "why did churn spike in March?" and Mora breaks down the contributing factors — by segment, plan, cohort, or any other dimension.
Cross-functional alignment
Sales asks about pipeline. Finance asks about cash. Product asks about usage. Everyone asks Mora — and gets consistent, source-of-truth answers from the same data.

