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Introducing A New Alternative Data Consensus (ADC) Benchmark For Institutional Investors

Alternative data is supposed to give investors an edge. But for most institutional teams, the reality looks more like this:

You spend months discovering, vetting, and onboarding a new data provider. You normalize the output to fit your internal models. You build a workflow around it. Then you do it all again for the next provider. And the next. Each vendor lives in its own silo — its own format, its own update cadence, its own coverage universe. Comparing one signal to another means building that infrastructure yourself.

The result: most investment teams use alternative data, but almost none have a way to benchmark signals across providers. There's no consensus view. No way to quickly see where multiple data sources agree, where they diverge, or how they compare to Street expectations — without significant internal engineering and analyst time.

The new Alt Data Consensus (ADC) platform is engineered to fix that.

ADC is a first-of-its-kind platform that aggregates signals from multiple vetted alternative data providers and delivers them in a single, standardized framework — giving institutional investors a continuously updated consensus built from real-world data rather than analyst estimates.

Think of it as a benchmark layer that sits across your alt data stack. Instead of evaluating each provider in isolation, ADC lets you see the composite picture: where signals converge, where they break, and how the alt-data-driven consensus compares to what the Street is modeling.

The platform updates between earnings — during the weeks and months when sell-side estimates are largely static and traditional consensus doesn't move. That's precisely when alternative data is most valuable, and ADC makes it actionable at the portfolio level rather than the single-vendor level.

What You Can Do With ADC

Benchmark alt data signals against each other. For the first time, see how multiple providers' views on the same company or sector align or diverge — without building the normalization layer yourself.

Spot divergences from Street expectations. When the alt data consensus is telling a different story than sell-side estimates, that's a signal worth investigating. ADC surfaces these gaps automatically.

Calibrate conviction between earnings. When multiple data categories — transaction signals, workforce data, web traffic, and others — all point in the same direction, conviction goes up. When they disagree, you know exactly where to focus deeper diligence.

Reduce vendor management overhead. One integration point. Standardized output. No more maintaining separate onboarding, normalization, and QA pipelines for each provider independently.

ADC’s coverage includes alternative data providers spanning consumer transaction data, workforce intelligence, web traffic, app and mobile intelligence, geolocation data, survey data, and more to come. Providers are admitted through a rigorous vetting process — only datasets demonstrating measurable signal relevance for institutional use cases are incorporated.

Ahead of ADC launching, you can join exclusive early access with a limited number of institutional investors.

👉Sign up to join the waitlist.

ADC launches publicly on May 14th at BattleFin Discovery Day in New York. Attend the event to see the platform demonstrated live in real use cases with attending institutional teams.