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Transforming Fragmented Impact Data into Portfolio Intelligence

Aggregate, compare, and translate impact across your entire portfolio, without forcing standardization.

Capital flows without clarity—and it's costing us billions

Funders struggle to compare performance → Innovators struggle to prove their effectiveness → Capital flows toward access, not outcomes.

While the ecosystem has grown in size and funding, the system it’s built on is both inefficient and inequitable.
The system burns resources instead of generating insights:
And it systematically excludes those who need capital most:
> 91% of impact investors can't compare portfolio performance—the #1 barrier to the industry's development.
> 70% of impact capital flows to high-income regions—despite 86% of the global population living in emerging markets.
> Up to 80% of impact teams’ time is spent harmonizing fragmented data instead of analyzing results.
> 1 in 3 social enterprises cite an inability to afford impact measurement as their top barrier to funding.
This isn't sustainable. And now, it doesn't have to be.
Our proprietary AI model that clusters similar metrics, normalizes data, and translates them into apples-to-apples comparisons.
Whether you measure "jobs created" or "livelihoods improved," our system understands what you're actually measuring, and translates it into comparable benchmarks.

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Business Case 01 - IDB Lab

How IDB Lab Aggregated 5,900+ Indicators Across 363 Projects

IDB Lab had deployed over US$2 billion across 363 projects in 26 countries but could not answer a single portfolio-level impact question. Agile Impacts deployed a five-step AI harmonization algorithm that organized the entire portfolio into 7 impact categories and 35 traceable KPIs, visible in real time through an interactive dashboard. Results: 90% accuracy, 84% reduction in reporting time, 100% team adoption, and a 4.7/5 satisfaction score.
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Business Case 02 - The Common Approach

The Global Standard for Impact Aggregation

Most impact platforms force investors to choose between flexibility and comparability. Agile Impacts solved this by formally adopting the Common Framework by Common Approach to Impact Measurement, the first principles-based methodology for aggregating heterogeneous impact data at portfolio scale. Our platform implements all six steps of the framework, delivering transparent, replicable, and auditable portfolio intelligence without requiring investees to change a single metric.
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How It Works

Share your impact data however you've been collecting it—no need to adopt new frameworks.

Translate impact data into comparable categories using our AI platform. 

Compare and benchmark performance against peers across sectors.

Why This Works

This approach has been validated with complex portfolios like IDB Lab working with heterogeneous data without forcing standardization

Our Partners in Scaling

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You Have the Data, But You Can’t Use It

Impact data exists across your portfolio, but it’s fragmented, inconsistent, and impossible to aggregate into credible insights for LPs, donors, or boards.
Impact Family Offices

Family offices deploying capital across sectors and geographies with impact mandates.

Foundations

Banking and regional development foundations with external reporting obligations.

Co-Investment Networks

Investor communities pooling capital that need unified reporting across members.

Accelerators & Networks

Social enterprise networks managing cohorts of ventures with diverse impact models.

Answer portfolio-level questions, improve reporting credibility, reduce burden on your network, and align your organization around impact.
Start a fast, low-risk pilot and understand what your impact data can really tell you.