Our Services

Evaluation of the core needs and available data to crystalize product understanding & business vision.

Conducting a free consulting session to define success metrics together and provide with time & resources estimation.

Formation of the initial solution architecture design including all necessary requirements & specifications.

The architecture design document consists of the data processing pipeline, monitoring service & hypothesis and best fitting ML architectures.

Collecting relevant opensource data. Assisting with anonymizing and depersonalizing any sensitive user data.

Cleaning the data for further exploratory data analysis. Creating training data in cooperation with data labeling companies, using state of the art models and external APIs.

Developing the ML pipeline, starting with the baseline model to verify the first results, followed by choosing optimal architecture.

Once the architecture is chosen, our team launches training and parameters tuning cycle.

Then we test the model in inference mode and optimize graphs to achieve defined metrics in terms of accuracy & speed.

Merging the entire data pipeline with ML pipeline. Development of API, service or package which will be used in production.

Packaging and deploying pipelines to any required destination such as cloud, dedicated servers, mobile or embedded devices.

Integration of monitoring, performance testing, and CI / CD systems to orchestrate the whole process.

Providing insights on new data, data anomalies & key metrics. Detecting data distribution changes to continue improving model performance.