Partner with {keyword} or similar agencies in Europe and LATAM

We conducted discovery meetings and workshops with the Aniv8 team. Our experts analyzed the current state of affairs and proposed a new roadmap


Auditing the work conducted by the previous partners

We proposed a deep-learning approach to make the initial classification, assess the severity of the illness and then could be used to extract data and monitor the disease further. We have decided to employ deep learning models and a deep convolutional neural network for imaging data.


Proposing a development methodology and a solution concept to create a viable pr

We developed the Machine Learning algorithm and product concept, which verified positively for the client that the solution could be built and scaled up. Our overall solution involved the development of the right processing AI algorithms and models of the data from sensors.


Algorithm development and verification

The initial stage of work was estimated at 240 hours, and we delivered in 180 hours.


Reaching 80% accuracy in less than 180h of work

Learn how DAC.digital worked with Seed to Series A Startup clients and how they can support your BioTech product and team.

DAC.digital Success Story in BioTech for Seed to Series A Startup - A case study | 2024

We conducted data analysis based on the provided data sets and input data, with the help of computing resources, artificial intelligence and machine learning model, with measurements of dog movements and to distinguish between dogs with and without OA based on the collected sensor’s raw data.


Detect and diagnose osteoarthritis based on animal movements automatically

They needed a solid methodology to support further progress in the project.  Acting as an Interim Product Owner, we conducted discovery meetings and workshops with the Aniv8 team. Our experts analyzed the current state of affairs and proposed a new roadmap to help move forward swiftly.


Low Technology Readiness Level of the Customer and need to check it

We proposed a deep-learning approach to make the initial classification, assess the severity of the illness and then could be used to extract data and monitor the disease further. We have decided to employ deep learning models and a deep convolutional neural network for imaging data to recognize pat


Unknowns regarding deep-learning solutions

The client stakeholders worked closely with the team at DAC.digital

AI modeling and machine learning in detecting OA disease among dogs

DAC.digital

We were pleased with the quality of info we were provided, especially valuable was the speed of delivery and the quality of the smart solutions we were provided. 