Data and
ML Enginering

We build robust data & ML platforms in the Cloud

PAINS

These things suck...

Ad-hoc solutions resulting in elevated costs and unclear processes

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Long-lasting batch or ETL processes

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Data scientists spent more time in Ops than dealing with models

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Lottie animation showing discoordination

Lottie animation showing discoordination final

Discoordination between data scientists and engineers

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Case Studies

Check out our most recent projects we have worked on, taking pride in delivering elite results and exceeding expectations

Robust Data Platform for Nordic Telco: Telia

Telia - Area of Data Services

The foundations for storing and handling all the incoming data from on-prem to the cloud wasn't entirely defined, resulting in lack of confidence from application teams to move to the cloud. And hence impacting innovation, cloud transformation and competitiveness

ETL Workloads & ML Computing for British Startup

Factmata

They started developing their SaaS with an ad-hoc data lake and ETL pipelines. It was difficult to scale and integrate with new API providers. They were a data-intensive application leveraging databases that were not optimized for data consumption, taking seconds for simple requests.

Migration from GCP to AWS for Nordic Startup

Farmvi

They started with some ad-hoc development on GCP, but management wanted to move away from GCP. The lack of expertise in data engineering in the cloud made the system prone to constant errors, difficult to catch bugs and hard to maintain for developers.

OUR SERVICES

We build robust and versatile data & ML platforms in the Cloud

data engineering

The most overlooked aspect. If the system where your data resides is not robust enough, then you will spend amounts of time and money fixing and releasing new features.

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ML engineering

Establish proper engineering foundations for the whole ML lifecycle: data extraction, feature engineering, model development, model deploying, etc.

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DATA ANALYTICS

Given proper data and ML foundations, it's time to extract any insight within days, not months.

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BENEFITS

What are the benefits of working with us?

Bullet-proof data

Bullet-proof data and ML platforms, with minimal downtime and errors.

KEEP COSTS UNDER CONTROL AND PREDICTABLE

Pay for what’s needed, nothing more.

EFFICIENT DATA MANIPULATION

Interact with your platforms confidently.

FULL GOVERNANCE

Know everything about your platform in seconds.

Full versatility

Your data and ML platforms should be puzzles. Add or remove any component with ease.

See what the client is saying about us?

TESTIMONIALS

Some of the reviews we've got

Product Manager - AI Platforms

I had the opportunity to work with Tomas in my team and observed his ability to learn new concepts efficiently. Tomas takes initiatives and is able to drive his own development areas. He was always a supportive and appreciated member of our team, both internally and towards our stakeholders.

Joel Larsson

@Telia

Head of Cloud Platforms

I've really enjoyed having Tomas on our team, and I'm impressed by how good he is at his job. While he was at Telia, Tomas showed he knows a lot about platform engineering and he's always keen to learn new things. One of the best things about Tomas is that he's good at many different things and always ready to tackle new tasks. He knows a wide range of tools and technologies that are important for platform engineering.

Robert Lönn

@Telia

Chief Executive Officer

Tomas helped us get our architecture and our roadmap set at the same time as developing our day to day client onboarding processes. He got us into a good place technically and I really appreciated his ability to jump between the tactical and the strategic. I especially appreciated his ability to work across all aspects of our technology from our data ingestion through to our ML processing. I'd work with him again any time.

Antony Cousins

@Factmata (Acquired by Cision)

Founder

We called Tomas when things got serious. He is a well-versed professional who helped Farmvi design and implement highly scalable architecture in AWS. He also played a crucial role in providing technical guidance and directions for our developers. Looking forward to bringing him into my next project

Ignacio López

@Farmvi