Your data, on demand. No queue required.
You need access to clean, trustworthy data, fast. However, obtaining extracts that combine data from disparate line-of-business systems requires filing a ticket and waiting days or weeks for the data science team to deliver.
Our agentic data cleaning solution changes that. It provides business teams with direct access to ready-to-use data, pulled from multiple systems, checked for quality, and delivered without delay, allowing data scientists to focus on high-return investigations.
The Overarching Problem:
It shouldn't be this hard to access your own data
Every team depends on data to make decisions, but actually getting it is slow. Business users are stuck waiting in queues. Data science teams are buried in requests. And the data itself? Frequently misaligned, incomplete, or outdated.
Business users can’t move at the speed of decision-making when they need to file a ticket just to get a dataset.
"Typically, an analysis would take weeks or months for a technical Data Scientist, but with causaLens agents, we can reduce that to days. It also allows someone with no technical skills which makes it really easy to use”
Annie Hou, SVP - Global Head of Data & AI
McCann Worldgroup
The Solution:
Business-ready Data, without the bottleneck
causaLens digital workers can give business users direct, on-demand access to data across systems, cleaned, validated, and ready to use. Autonomous agents handle the complexity, surfacing accurate, consistent data extracts instantly.
That means no more backlogs. No more delays.
Just insights, faster.
Direct access to clean, accurate extracts from multiple sources; no tickets, no waiting.
How it Works
Submit a request for the data extract you need to the Data Request agent in natural language.
The Data Request agent determines what work will be necessary to find the right data, merge it, check the quality, and give you the dataset you need, along with a report of what happened along the way. It assigns that work to specialized worker agents, and together they deliver your merged and cleaned data set in minutes.

Data Cleaning Agent In Action
What the agent does:
Parses the files and extracts all relevant data.
Filters and isolates data most relevant to the request from the extracted dataset.
Computes sentiment scores and cluster topics based on the content as requested, and outputs the code along with a downloadable CSV with the results.
Related Resources

Customer Story
See how a top tier global agency has automated their data cleaning, saving 80% of their time.

Insights
Learn about the future of analytics & data science, and how you can be at the forefront.

Demo Hub
Explore our technical and use case demos by visiting our Demo Hub to discover what's possible.
See how much time you could save
Free your data from queues so you can make better business decisions.
See how much time you could save with causaLens Digital Workers.