Your best analysts spend more time wrangling data than analyzing it. Every new request triggers the same slow cycle:
The answers live across warehouses, cloud platforms, SaaS apps, and relational databases. Analysts spend hours just finding and joining the right data before any analysis can begin.
The definitions, joins, and business rules analysts need are scattered across catalogs, BI tools, and in people’s heads. Unless they are domain experts, every analysis starts from scratch without unified context — and the business has already moved on.
AI tools work in controlled environments. But in production — across distributed data, multiple domains, and open-ended questions — accuracy degrades fast. There’s no systematic way to validate whether AI-generated answers are good enough for decision-making.
The problem isn’t your people. It’s the tooling.
Mantra gives data and business analysts a radically faster way to explore, build, and ship data products. It connects directly to your entire data estate, applies business context automatically and dynamically through the Insights Context Graph, and lets you go from question to complete, trusted analysis without writing a single line of SQL.
Ask questions across any dataset. Mantra translates your intent into optimized queries across all your sources.
Go from question to complete, validated analysis without SQL or engineering tickets.
Follow up, drill down, and compare results in seconds, not hours.
Save your analysis and expose it to BI tools, make it usable for AI agents, or share it with other teams with versioned, endorsed data products.
Watch an analyst build a complete, governed data product in minutes.
From a plain-English question to a production-ready output, without writing SQL or filing a single engineering ticket.
Other analytics agents only work inside their own platform, with a fraction of your data and context. Mantra connects across your entire landscape — cloud platforms like Snowflake and Databricks, SaaS applications like Salesforce, relational and on-prem systems like SQL Server — and delivers trusted, governed results from everywhere.
Stop switching between tools. Query and analyze data across every source in your stack from a single interface — no consolidation, no lock-in.
The Insights Context Graph assembles definitions, business rules, and metadata from across your systems — so every answer comes with the right context built in, not bolted on.
The context graph adapts to your role, domain, and query history — delivering the most relevant results every time. Pick up where you left off across sessions.
A healthcare organization used Mantra to reduce the time it takes senior data analysts to build commercial analysis, reduce the time of an average analysis from 8 hours to 10 minutes.
Faster analysis by reducing the average time per ticket from 8 hours to 10 minutes
In productivity gains across a team of 20 data analysts
Pipeline overhead by enabling analysts to complete workflows end-to-end without engineering support.
Built cross-channel attribution analysis without waiting for pipelines. Compare campaign performance across platforms. Create hyper-focused target segments in minutes.
Analyze pipeline health and win/loss patterns. Dissect rep performance across CRM, product usage, and support data. Surface prospect insights immediately.
Analyze return patterns in real time. Optimize stock against demand signals and fulfillment rates. Surface supply chain bottlenecks before they hit revenue.