If you’re evaluating platforms to support fund and portfolio data management, you’re likely exploring a mix of technology providers and consultancy-driven builds. Names like iLEVEL, Chronograph, Holland Mountain, Allvue, and others may already be on your list.

But selecting the right solution requires more than comparing features. It means asking: is this the foundation upon which our business can trust, scale, and rely on in the years ahead?

We believe the answer lies in a comprehensive platform – one that blends intelligent technology with private markets’ expertise. Discover the key differences between the point solutions and consultancy-led options available in the market – and why accuracy, scalability, and oversight should be non-negotiables in your selection process.

Common paths and challenges

When GPs begin looking for data solutions, they often end up falling into one of three categories:

  • Single-Point Solutions
  • Consultant-Led, Bespoke Builds
  • Platforms that simply ingest data
Single-Point Solutions

Selecting a tool for one function (typically portfolio monitoring, reporting, or data collection) and then trying to integrate other tools later.

  • Challenge: These tools rarely connect seamlessly, leaving critical data fragmented.
  • Impact: More manual processes, inconsistent insights, and limited visibility across the full investment lifecycle.
Consultant-Led, Bespoke Builds

Partnering with a tech consultant to build in-house or create something bespoke – often tailored to your workflows and specific nuances.

  • Challenge: What works today may not scale tomorrow. Change is slow, maintenance ends up costly, and internal knowledge of the tools in place is often lost.
  • Impact: High upfront and long-term costs, technical debt, and inflexibility as your firm evolves.
Platforms that simply ingest data

Some tools seamlessly ingest your data, but they assume the data itself is correct, which can result in make data-driven decisions on a foundation of inaccurate data.

  • Challenge: If the source data is incorrect, incomplete or inconsistent, everything built on top of it is at risk.
  • Impact: Teams revert to shadow bookkeeping, double-checking numbers, and losing confidence in what the system reports.

The case for a comprehensive data platform

Lantern was purpose-built to address the realities of how private markets operate. It’s a platform, not a point solution. And it’s engineered for accuracy, adaptability, and alignment with how GPs really work. When looking for technology solutions, these are often the challenges found in what’s available in the market.

Challenge
Solution

Data Assurance

Our private-markets-trained AI validates your data - from source systems, PDFs, and fund admin feeds - ensuring accuracy before it enters your dashboards or models. We don’t just display the data. We help you guarantee its quality.

Disconnected Data

Lantern unifies both fund and portfolio company data, so finance teams, deal teams, and partners are working from the same source of truth - with full context and traceability.

Tech vs. Service

We combine intelligent automation with a “human-in-the-loop” - our team of domain experts - to ensure nuanced, high-quality results. Our system understands how funds work, how capital moves, and how data should behave.

Single Point Solution

Built as an enterprise-grade SaaS platform, Lantern scales as your firm grows. Whether you manage multiple funds, work with several administrators, or need to meet increasing LP demands, our architecture adapts - without compromise.

A Better Way Forward

Choosing a data platform isn’t just a tech decision – it’s a strategic one. It shapes how your firm operates, how your teams collaborate, and how confidently you report to stakeholders.

At Lantern, we work with private markets firms across the spectrum – from multi-fund managers to fast-scaling GPs – to help them rethink how they manage and use data.

If you’re exploring options, we’d be happy to share:

  • What we’re seeing across the market
  • How firms are approaching admin oversight and data validation
  • What “good” looks like when it comes to integrated, scalable solutions
  • And how Lantern might fit (or not!) into your existing stack

There’s no one-size-fits-all approach. But there is a smarter, more confident way to operate. Let’s explore it together.