Digital Knowledge Workers

Automate Advanced Knowledge Work.

Across Systems. Deployed Anywhere. 5x ROI.

Start with your first Digital Worker

See Our Digital Workers

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Customers automating their workflows

Reliably Building & Overseeing Digital Workers is Hard

Talent Scarcity
People who can reliably build & deploy multi-agentic systems are rare, expensive, and getting poached.
Building in-house is a multi-year bet most enterprises can't afford.
Consultancy Misalignment
Consultancies talk AI but won't cannibalize their billable-hours model.
And most lack the technical depth to build production-grade agent systems anyway.
Tech-solution gap
No shortage of "shallow" agentic AI tech and fancy demos.
Massive shortage of reliable multi-agent automations actually running in the enterprise.

causaLens Automates Knowledge Work. Reliably. Quickly. Scalably.

How It Works

Digital Knowledge Workers are multi-agentic systems that automate repetitive workflows & processes.

Blueprints

The fastest path from idea to live Digital Workers.

Pre-built: Each blueprint is a pre-built, ready-to-deploy digital worker with worked-out examples, pre-configured integrations, and proven playbooks for specific enterprise processes.
No blank canvas: 80% ready out of the box, 20% to be tuned for your needs.

Learn about Blueprints.

Factory

Your platform (production line) for building Digital Workers.

Assembly: Combines your spec/requirements with our bluerpints to rapidly put together your multi-agentic workflow.
Deployment-ready: Each worker is delivered in a docker image that can be deployed anywhere.

Learn about The Digital Worker Factory.

The System of Work

The "HR platform" of your Digital Knowledge Workers.

Governance & compliance: Every Worker operates with your guardrails with full audit trails and automated evaluation.
Always-on monitoring: Real-time alerts when human input is needed or when performance drifts.

Learn about The System of Work.

causaLens Reliability.

The difference between fancy AI demos & real ROI.

We have pioneered dozens of reliability features, including:

Causal Reasoning
Most AI agents reason via correlations. Our Digital workers reason via causation. Digital Workers build causal models on your data to surface why things happen, and suggest interventions.
Humans are always in control
Automatically add human-in -the-loop controls & approval stages.
Monitor your Digital Workers' performance & actions in real time.
Sophisticated Scoring and Judging
Digital workers combine advanced quantitative and qualitative scoring, using Python for deterministic validation and LLM-based judgment, making them far more sophisticated than simple agentic systems.
Self-Healing & Continuous Improvement
Digital Workers continuously learn, the same way humans do. They observe how humans handle exceptions & balance tradeoffs in order to continuously improve.

Explore the R&D Hub

Real results: How our clients thrive with causaLens.

“We typically scale [analysis] by hiring a lot of people. With [causaLens agents], we can do this in a day, not a month, which saves time [to treatment] for the patients, and ROI for the company”

Juan Carlos Araque, Principal Scientist of Process Science & Modelling

About the company: Johnson & Johnson (J&J) is an American multinational corporation headquartered in New Brunswick, New Jersey, specializing in pharmaceuticals, biotechnology, and medical technologies, with approximately 138,000 employees worldwide.

“[causaLens agents] are an absolute necessity [for McCann]. Agents allow us to combine human input and democratise insights to not only accelerate analysis and model development but also empower our strategic business teams.”

Annie Hou, SVP – Global Head of Data & AI

About the company: McCann Worldgroup is a leading global marketing services company with an integrated network of advertising agencies operating in over 120 countries, specializing in creative solutions for building enduring brands. As of 2025, the company employs approximately 11,000 people worldwide.

“We want to augment our workforce with agentic AI to enhance their productivity. We truly believe that once we implement [causaLens agents], we can unlock faster decision making, new revenue opportunities, product roadmap and significant cost savings”

Vincent Iswaratioso, Chief Executive Officer

About the company: DANA Indonesia is a leading technology and financial services company specializing in secure, scalable digital payments and e-wallet solutions, aiming to drive financial inclusion and support a cashless society across Indonesia. DANA employs over 2,000 people.

“These questions would normally take weeks to answer… [causaLens] agents have paved a new way of working, where non-technical users can access the data, and have causal-driven answers in minutes”

Adam Cahill, General Manager, Kinetic

About the company: Syneos Health is a leading fully integrated biopharmaceutical solutions organization that provides contract research and commercial services to pharmaceutical and biotechnology companies worldwide, helping accelerate the development and commercialization of new therapies. As of 2025, Syneos Health employs approximately 28,000 people across more than 110 countries.

“[The causaLens agent] acts as a PhD-level Economist to assist teams to interpret what is going on”

Puneet Gupta, Director of Data Science and Global Planning

About the company: Cisco is a global technology leader specializing in networking hardware, software, and services, powering the infrastructure for businesses of all sizes and enabling secure, reliable connectivity in the digital era. The company’s portfolio spans networking, cybersecurity, collaboration tools, data center solutions, and AI-driven innovations, positioning Cisco at the forefront of digital transformation and enterprise technology.

“[The causaLens EDA Agent] is focused on removing the mundane tasks… one of the steps it’s doing is cleaning data… if you ask any data scientist, they spend 70-80% of their time on [data] cleaning & exploration. The causaLens EDA Agent is focused on removing this process [for humans] completely. All we are focused on now is drawing insights, not in the process of building pipelines for cleaning the data or joining them. This allows our data scientists to focus on higher value tasks.”

Puneeth Nikin, Head of Data Science

About the company: Croud is a global, full-service digital marketing agency founded in 2011, specializing in performance-driven solutions across brand strategy, integrated media, creative, and data for leading brands worldwide.