AI operations management

In software development, you fix the bugs. In AI development, you clean the data. Our data accelerators help your team take control.

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Overview

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01

DataOps platform

Create and label datasets, set up and verify data quality standards and automatically detect data shifts and drifts to keep surprises to a minimum.
02

MLOps pipeline

Train the models automatically at the edge pattern or in the cloud, monitor the live performance, and provide feedback to continuously improve the AI solution performance

How clients’ solutions run
after the co-lab

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Magellan X: Creating a predictive maintenance solution in shipping with Magellan X

Cleantech

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Creative Practice Solutions : Developing an AI-Driven Medical Transcription & Billing System

HealthTech

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iPlena: Transforming user experience in physiotherapy

HealthTech

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“The outcome of the design sprint has greatly assisted Posthumously to establish a workable plan of action for building the first version of the application and roadmap for accurately predicting the number of sprints needed to get a working first version of the Posthumously application.
I believe every tech startup should consider adding a design sprint, pre-MVP development stage in order to re-evaluate and vet product or application requirements before embarking on development.”

CEO of AtenTech, Founder of Posthumously