Monocl AB: Scaling Data Operations for HealthTech
HealthTech

Beetroot extended Monocl’s team with data specialists to boost its data processing capacity. The collaboration grew into a strategic partnership, improving data accuracy by over 60%, shortening research cycles, and cutting operational costs by 40%.

  • TECHNOLOGIES

    • Data Engineering
    • Data Annotation
    • Business Intelligence
    • Data Operations

  • TEAM COMPOSITION

    • Data Specialists
    • Data Scrapers
    • 29 people in total

Background

Monocl AB is a Stockholm-based leader in commercial healthcare intelligence. Its cloud-based SaaS platform is used by pharmaceutical companies and research organizations worldwide to streamline collaboration and decision-making.

By collecting, structuring, and analyzing large volumes of life sciences data, Monocl supports faster, better-informed development of new drugs and treatments.

Project Recap

  • Monocl’s limited in-house data processing capacity was holding back product scalability and customer experience.

  • Since February 2019, Beetroot has built and scaled a dedicated team of 29 data specialists in Ukraine.

  • Over 60% more data processing capacity, research cycles about 30% shorter, and 40% lower operational costs.

Challenge

Monocl works with vast volumes of fragmented public data from the life sciences domain. Its in-house data processing capacity was limited, which affected product scalability, slowed feature development, and impacted platform responsiveness.

Monocl faced several challenges:

  • Limited capacity to process large volumes of data
  • Structuring fragmented data without compromising accuracy
  • Slower feature development and platform responsiveness

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Solution: Dedicated Data Team That Grew with the Client

Beetroot built and scaled a dedicated team of 29 data specialists and data scrapers in Ukraine, working with data analytics, BI tools, and cloud-based SaaS infrastructure.

  • Data Gathering and Structuring

    The team gathers, verifies, annotates, and structures data from unstructured sources so it fits seamlessly into Monocl’s platform.

  • Flexible, Growing Scope

    The scope expanded several times to cover more data sources and complex analytical tasks, with agile budgeting to match.

  • Trained, Integrated Team

    In-depth training, cross-cultural onboarding, and a reliable feedback loop keep accuracy high and both teams aligned.

We have had a very good collaboration with Beetroot personnel throughout this project and kept a close dialogue about how to manage and grow the team. We have tried to make the team as integrated as possible with the rest of the company. The culture at Beetroot also aligned well with how we like to work ourselves which helped a lot.

Head of Product,
Monocl

Results

The partnership with Monocl has delivered consistent value and grown into a long-term strategic alliance.

  • “We’ve grown the team from the initial three people to 25 persons as a result of our satisfaction with this partner.”

    – Head of Product, Monocl

  • 60% more processing capacity

    Data processing capacity grew by over 60%, with marked gains in accuracy and reliability.

  • 30% shorter research cycles

    Monocl’s customers get to market faster with better data.

  • Higher customer satisfaction

    Better platform performance and data access improved satisfaction scores.

  • 40% lower operational costs

    Costs for Monocl’s internal data team dropped significantly.

  • “The data gathered and organized by the team resulted in our main release for the platform during 2019. This resulted both in new deals and a higher renewal rate.”

    – Head of Product, Monocl

Scale your data operations with Beetroot:

Need a dedicated team to gather, structure, and annotate data at scale? Share your challenges via the form, and one of our experts will reach out to you shortly.