Products
Non-technical teams wait hours, sometimes days, for answers that are already sitting in a database. Plainsight lets anyone ask that database a question in plain English and see the answer as a chart or a table, with no SQL and no ticket in the data team's queue.
The problem
Non-technical teams waste hours waiting for data requests. Analysts spend 60% of their time writing and debugging SQL queries instead of deriving insights, and the questions that never get asked are the ones nobody had time to queue.
The solution
Plainsight lets anyone query databases using natural language. Ask questions, get instant visualisations. No SQL knowledge required, and your analysts get their time back for the work that needs them.
At a glance
Plainsight turns natural-language questions into SQL, runs them against PostgreSQL, MySQL or BigQuery, and returns the result as a chart or a table. A self-correcting engine fixes failed queries on its own, and role-based access keeps every answer inside the permissions you already set.
Features
Built for the people who have the question, and safe enough for the people who own the data.
Type the question the way you would ask a colleague. Plainsight writes the SQL, runs it and brings back the answer.
Every answer arrives as a chart or a table, whichever fits the result, so nobody has to export to a spreadsheet to see it.
Connect PostgreSQL, MySQL and BigQuery, and ask questions across the databases your teams already run on.
Every question is saved. Rerun a good one next week, or share it so a teammate starts from the answer rather than from scratch.
People only query the data their role allows. Asking in plain English never becomes a way around your permissions.
When a generated query fails, the engine reads the error, fixes its own SQL and tries again before you ever see the failure.
How it works
Connect once, set the permissions once, and every question after that is just typing.
Point Plainsight at the databases you already have. Nothing is copied into a new warehouse first.
Set access by role, so each team can ask about its own data and nothing it should not see.
Type a question. Plainsight turns it into SQL, runs it, and corrects the query itself if the first attempt fails.
The answer comes back as a chart or a table, saved to your history and ready to share with the rest of the team.
Compared
Most teams get answers from data one of two ways: a BI dashboard someone built in advance, or a request to the data team. Here is where each one holds up.
Plainsight
8/8
handled fully
BI dashboards
3/8
handled fully
Asking the data team
0/8
handled fully
Compared against how each approach typically works, not a benchmark of any named product.
Industries
Any team with a database and more questions than analysts gets value from Plainsight. These are the industries where the gap between the two is widest.
Risk, operations and product teams query transaction and customer data directly, while role-based access keeps sensitive records with the people cleared to see them.
Example question: “How many failed payments did we see last week, by channel?”
How we work in Banking & FintechSales and supply teams check sell-through, stock and distributor performance themselves, instead of waiting for the weekly report.
Example question: “Which SKUs are out of stock in more than ten stores?”
How we work in FMCGPlant and quality managers ask about output, downtime and defects across lines without learning the production database's schema.
Example question: “Which line had the most downtime this month, and why?”
How we work in ManufacturingAdministrators track appointments, bed use and referral volumes across sites, with patient data kept behind role-based permissions.
Example question: “What was the average wait for a first appointment by site?”
How we work in HealthcareMarketing and merchandising teams answer questions about orders, returns and campaigns the moment they come up, not at the end of the sprint.
Example question: “Which campaigns brought in repeat customers last quarter?”
Talk to us about E-commerce & RetailCustomer success, sales and leadership pull usage and account data themselves, so engineers stop fielding one-off query requests.
Example question: “Which accounts stopped using the export feature this month?”
Talk to us about SaaS & TechnologyQuestions
Teams that have questions about their data but not the SQL to answer them, and the analysts who currently answer those questions for them.
See it against your own data
The quickest way to judge Plainsight is on your own database. Tell us what you run and the questions that currently sit in your data team's queue, and we will walk you through it.
We reply to every enquiry within one business day.