Revolutionary platform for building AI data science teams

NEWS RELEASE: causaLens launches revolutionary platform for building AI data science teams

LONDON, 11 December 2024 – In a significant breakthrough for enterprise AI, London-based causaLens has announced a platform enabling organizations to build their own AI data science teams. 

The gap between data collection and utilization represents trillions in unrealized value, as research suggests that over two-thirds of corporate data is never considered. While organizations invest heavily in data infrastructure, most struggle to turn this investment into actionable insights. 

A typical data science project takes 3-9 months, requiring multiple iterations between business teams and data scientists. By the time insights are delivered, the market has often moved on.

This bottleneck isn’t just about resources – it’s about speed and scale. Even organizations with large data science teams are finding traditional approaches unsustainable in an era where data doubles every two years.

causaLens’ answer to the challenge is a multi-agent platform where specialized AI agents work together, each handling different aspects of the data science workflow. Organizations can build and customize agents tailored to their specific needs in days, while pre-built agents handle everything from planning and data cleaning to feature engineering and causal analysis.

Darko Matovski, CEO and co-founder of causaLens explained:

Think of it as giving your organization multiple AI data scientists, each with their own expertise. One agent might excel at turning business questions into SQL queries, while another specializes in exploratory data analysis or building applications. These agents work together seamlessly, like a well-coordinated data science team.

What makes this platform particularly powerful is its flexibility. Organizations can rapidly build custom agents tailored to their needs and domain expertise. “Every business is unique,” says Matovski. “We’re giving organizations the power to create AI data scientists that understand their specific context, compliance requirements, and business rules.”

causaLens has made trust fundamental to their design, weaving it into the fabric of their AI agents through a revolutionary approach that combines causal reasoning, business-specific grounding, and human control. Additionally, these agents learn and adapt to their business context with long-term memory enabling them to retain knowledge from every interaction with human data scientists, learning organizational best practices, compliance requirements, and domain-specific approaches. 

Perhaps most critically, the platform keeps humans in control. While the multi-agent system can autonomously execute complex workflows, data scientists maintain oversight and can review, adjust, and approve every step. The human data scientist can also change the approach or models the AI data scientists are proposing.

“What we’re seeing in early deployments is just the beginning,” explains Matovski. “Organizations are discovering they can tackle analytical challenges at a scale previously thought impossible while maintaining human oversight of the entire process.”

Darko adds, “It’s about democratizing access to AI capabilities. Whether you’re an analyst exploring data or a business leader making strategic decisions, these agents work alongside you, turning data into insights at speed and scale. The future of decision-making isn’t about replacing human intelligence – it’s about augmenting it at an unprecedented scale.”

About causaLens

causaLens is pioneering the world’s first platform for building AI data scientists – empowering everyone to create and deploy their own data science agents in days. Our platform enables teams to collaborate in a multi-agent environment, ensuring human oversight across the entire workflow and making AI-powered data science trustworthy and accessible to everyone –  from analysts to business leaders. 

We power industry leaders, including Cisco, Johnson & Johnson, Canon, and McCann Worldgroup, to accelerate and scale their data science capability. 

Find out more about causaLens and AI Data Scientists at causalens.com.  

Contact: Mike Beech (mike@causalens.com)