Solving AI's Last-Mile Problem.
Matthew Wyman and Boris Selitser wanted to empower developers with synthetic data that works.
The last-mile problem in machine learning is critical in industries with stringent data privacy regulations. Okareo provides a solution for secure testing when production data can't be shared nor can it be replicated.
AI is becoming central to the software stack, with code being generated from developer co-pilots and intelligent assistants. The overall surface and volume of code are growing fast, with implementations increasingly opaque to the general developer.
In this new world, Okareo is creating an alternative to train and validate these AI components. They use generative AI to create synthetic data that looks and feels like production data and can simulate the many unique scenarios necessary to validate business logic and software stack.
The goal? Streamlining developers' workflow, ensuring quality solutions by organizing data tests, measuring skill/behavior coverage, and addressing AI's last-mile problem. This reduces fraud, errors, and downtime while boosting customer trust and software delivery speed.
COMPANY PROFILE: OKAREO
Superior Data Privacy and Regulation.
Okareo ensures quality data for industries where the data that is most valuable for testing isn't readily available or can't be shared.
FOUNDERS:
→ Matthew Wyman
→ Boris Selitser
LAST FUNDING STAGE:
Pre-Seed
VECTOR:
Human Machine Interaction
2
Team Members
700K
Funding to Date
CO-FOUNDER
Matthew Wyman
CO-FOUNDER
Boris Selitser
Delve deeper into the world of Human Machine Interaction through our other inspiring articles or discover why we're also passionate about Biological Machines and Machine to Machine Learning.
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