Portfolio companies now submit updates consistently and on schedule, ensuring a dependable flow of information for internal and external stakeholders.
A €300m venture capital fund investing in early-stage deep tech and climate-focused startups across the Nordics and Baltics. The fund is backed by a network of strategic corporate investors and prides itself on being a hands-on partner to pioneering founders across the region.
With a growing portfolio and an increasingly institutional LP base, the firm recognised the need to move beyond lightweight tools and build a more structured approach to portfolio data.
The Challenge
As the firm scaled, its manual approach to portfolio monitoring became unsustainable:
- Founders submitted updates in a range of formats – from emails to decks and spreadsheets – creating an inconsistent and incomplete picture across the portfolio.
- Quarterly data collection required significant analyst effort, including manual chasing, consolidating submissions, and untangling version control issues.
- Without a structured system, it was difficult to deliver reliable performance insights to LPs or maintain consistency across internal reporting.
Challenge
Solution
Unstructured, inconsistent updates
Lantern introduced a guided, tech-enabled workflow for portfolio companies, making it easy for founders to submit data in a consistent and timely manner - without adding friction.
Multiple versions of the truth
Analysts now operate from a single, structured dataset. This has significantly reduced time spent on manual data wrangling and enabled quicker identification of gaps or inconsistencies.
Inconsistent metric reporting
Lantern’s team worked closely with the fund to define the right metrics, logic and workflows for their strategy, ensuring outputs were both relevant and reliable.
The Impact
95% on-time submission
Portfolio companies now submit updates consistently and on schedule, ensuring a dependable flow of information for internal and external stakeholders.
95% on-time submission
70% reduction in analyst's time
Time spent chasing and cleaning data has dropped dramatically, freeing the team to focus on analysis and decision-making.
70% reduction in analyst's time
Time spent chasing and cleaning data has dropped dramatically, freeing the team to focus on analysis and decision-making.
Portfolio packs built in hours, not days
With consistent KPIs across the dataset, reporting is faster, more accurate, and aligned across teams.
Portfolio packs built in hours, not days
With consistent KPIs across the dataset, reporting is faster, more accurate, and aligned across teams.
Improved LP confidence
Higher-quality, consistent data has strengthened LP trust and positioned the firm as operationally disciplined, without compromising its founder-first ethos.
Improved LP confidence
Higher-quality, consistent data has strengthened LP trust and positioned the firm as operationally disciplined, without compromising its founder-first ethos.
Summary
By adopting Lantern, this early-stage VC now runs a scalable, founder-friendly portfolio monitoring process. The result? Faster reporting, less manual work, and a higher standard of data – all without sacrificing the agility that defines early-stage investing.