Our Company Tenets:
Put people first
Stop and listen
Seek the firsthand
Lead with humility
We create products that are:
- Empathetic: Intuitive and people-centric in design and outcome.
- Evolving: Learning and adapting to systems, signals and business context.
- Considered: Meticulously refined and tested for results and reliability.
Founder and CEO
Drew Conway is a world-renowned data scientist, entrepreneur, author, and speaker. In 2015, Drew founded Alluvium to bridge the gap between big data and human expertise. Designed with the goal of helping industrial operations become safer, more efficient and more profitable, the Alluvium platform makes industrial machine data meaningful and useful to the people who rely on it to make decisions that affect the stability of their operation.
Director of Engineering
Gavin Cowie is leading the charge to simplify Industrial data at scale. With more than 20 years of SaaS experience across multiple industries, including learning, publishing, and e-commerce, Gavin is now applying his expertise to refining and growing the capabilities of the Alluvium platform so industrial operators can continue to get more valuable insights from their data.
“Modern factories are data rich environments bristling with controllers, sensors, and other computerized gear. The problem is there are too many data sources but not enough real-time flow of that data to the people who need it to ensure smooth operations.
“That’s the rather large problem that Alluvium wants to address by applying machine learning to that data.”
“Today, most companies aiming to monetize that IoT data are focused on consumers. Alluvium, a new startup based in New York, sees more money and benefit to society in mining the data debris in complex industrial applications. It wants to apply machine learning to dirty industrial things, not consumer devices. We’re talking fleets of vehicles, offshore oil derricks, giant petroleum processing plants.”
“The biggest opportunity for a product in this space is in the large industrial spaces that are already generating a ton of data but are underserved by the software incumbents that exist there.”