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Working with sensor data is hard. Sentenai makes it simple.

Working with sensor data is hard. Sentenai makes it simple.

Traditional approaches to storing structured and unstructured time series treat data organization as a problem best
solved by teams of data engineering experts. This approach succeeds when data exhibits “low variety” in kinds of
variables, collection rate and labels, but in sensor-driven environments, the inherent “high variety” of data requires a new approach.

Sentenai’s sensor data cloud automatically organizes sensor data (structured and unstructured) to unlock
its usefulness in machine learning applications. Sentenai provides ingestion, storage and data querying capabilities in a single, automated platform.
Co-founder, CTO @ Sentenai. Co-founder @ Hyperplane Venture Capital. Machine intelligence is my passion. Making it practical is my mission.
Co-founder of Sentenai. Previously business development and investor. MIT engineer.
Total raised

$1.8M

Funded over

1 round

Latest round

Seed (Jan 2016)

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