Matia

Data leaders are frustrated with the number of platforms they rely on, leading to a disjointed, frustrating, and expensive experience, given the tools aren't always interoperable or compatible. After living through this problem, founders Benjamin Segal and Geva Segal set out to build Matia, the unified data platform.

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When we dug in, we found that the modern data stack typically includes six buckets of product:

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1) Ingestion (e.g. Fivetran, Airbyte, Matillion, Rivery)

2) Data lake (e.g. Snowflake, Databricks)

3) Transformation (e.g. dbt Labs, Tobiko)

4) Reverse ETL (e.g. Hightouch, Census)

5) Observability (e.g. Monte Carlo, Metaplane)

6) Data catalog (e.g. Atlan, Alation)

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Most companies want all of these capabilities, but can't have them because of budget/resource constraints. Those that have them feel frustrated they don’t have one pane of glass to manage the data lifecycle.

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So we had a prepared mind when we met co-founders - Benjamin Segal and Geva Segal. Matia aims to solve this problem by bringing Ingestion, Reverse ETL, Data Quality and Catalog into one view, effectively creating a unified data operations platform.

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Today, world leading companies like Ramp, HoneyBook and Obligo are standardizing their data operations on Matia, improving reliability, fault tolerance, product velocity, and reducing sync time by 80%+.

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We’re grateful to the Segal brothers for trusting us to lead their $10.5M Seed Financing.