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causaLens are the pioneers of Causal AI — a giant leap in machine intelligence.
We build Causal AI-powered products that are trusted by leading organizations across a wide range of industries. Our Causal AI Platform empowers all types of users to make superior decisions through an intuitive user interface. We are creating a world in which humans leverage trustworthy AI to solve the greatest challenges in the economy, society and healthcare.
At Soda, we’re on a mission to bring everyone closer to the data. We believe that everyone who has a stake in the data (and we think that’s everyone) should be able to understand it, trust it, and stay on top of it. We know this first hand because we’ve been on data teams where we were in the dark with our data until it was too late. We spent many late nights firefighting issues, unable to use the data we were counting on.
This experience inspired us to build Soda, a data monitoring platform that allows teams to define what good data looks like, and resolve issues swiftly, before they have a downstream impact. This transparency and ease creates trust — in each other, and in the data.
BigRio is a modern technology consulting firm focused on strategy, implementation, and digital transformation. We are headquartered in Boston with deep ties to Harvard and MIT, empowering our clients to drive innovation and advanced analytics using data.
There is a strong leadership team with industry experience at Sanofi, JWT, Samsung, Fidelity, IBM, US Navy and AT&T. And, affiliations with HBS, MIT, and Wharton Business School. Organizations of all sizes, all over the world, rely on BigRio to unlock their potential with AI, machine learning, and data science.
We are experts at bridging the gap between business strategy and data science. Fortune 500 companies trust BigRio to provide insights from complex data and solve today’s most challenging digital transformation problems. This diverse industry exposure arms us with invaluable tools and techniques. Our knowledge and talent pool bring innovative, economical, and extensible results to complex software and data challenges.