Wherever your data is we connect and make sense of it
What makes us different?
Other tools need clean data before they offer any value, requiring you to manually solve 80% of data problems upfront. Point Sigma uses the latest advances in AI to finally resolve this long-standing issue in data analytics.
From connecting data sources to transforming raw data and beyond, our system handles every step automatically. With Point Sigma you can shrink analysis time by up to 95%, dramatically cut costs, and minimize errors.
How it works
Our AI-driven platform automatically gets you from raw data to insights in three simple steps. Then it's over to you to explore and act.
01
Connect
Seamlessly integrate data sources in seconds. Our 500+ pre-built connectors do the heavy lifting. With automatic data type and join discovery bringing all your data into one unified view.
Surfaced patterns
Point Sigma uses novel artificial curiosity to learn how your data is unique. It learns how your data is structured and needs to be processed for you to focus on what matters to you.
02
Take action
Start exploring automatically generated graphs, and quickly get to actionable intelligence. With intuitive dashboards, to share your insights, streamline reporting, and make informed business decisions.
We are surprised at how creative – in a most positive sense – its Artificial Curiosity can be in discovering hidden connections in data.
Jan Schoenmakers
Managing Partner
We simply uploaded our data, and in a few minutes the platform came up with a number of key insights. It's a great way to identify new things we have not thought of.
Mate Kun
CEO
⊙-Σbrings Doorda's big datasets to life with compelling visuals. The platform allows non-technical users to find insights through intuitive exploratory analysis.
Colin Magee
Chief Commercial Officer
FAQ
My data is all over the place. Can I still use this?
How many people do I need to hire to make this work?
How many months do I need to invest in this before I start to see results?
We've invested so much in our current data stack. Why change now?
