Prove the Value of Data, Signals, and Track Records

vBase is a platform for credibly proving the value of predictive models and data.

Our tools let anyone create an independently verifiable record that a dataset, signal, or prediction existed at a specific moment and hasn’t been altered since — so teams can present a globally credible track record when commercializing their work.

Beyond our general platform, we have dedicated solutions for alternative data, trading signals, and investment performance.

Before vBase, proving the predictive value of data, a model, or an investment track record required years of third-party audits, NDAs, and trusted intermediaries.

Without independent proof of what data existed when, buyers often assume the worst — revised history, hindsight bias, cherry-picking — and a huge fraction of deals fall apart because predictive products get judged on their credibility rather than merit.

vBase makes the history of predictive claims independently verifiable, so that data, models and track records can achieve their full commercial potential.

A quant researcher builds a model that predicts daily direction of the S&P 500.

After 6 months it has a large statistical edge. Taking it to market, they hit the familiar wall: buyers discount the claims, demand third-party audits, and require long live trial periods.

With vBase, every prediction is stamped at the moment it’s created, creating an audit trail that gives buyers an independently verifiable proof of the model’s full history and that results were not cherry-picked.

As the verified record accumulates, it becomes increasingly persuasive to each new prospect, instead of building trust from scratch each time.

vBase creates cryptographic audit trails for data without ever seeing the data itself.

Users submit only a standard hash — a cryptographic fingerprint of your data, prediction, or record — which vBase publishes to a public blockchain. The blockchain itself produces the publication timestamp, vBase can’t alter it.

Anyone the user later shares the dataset with can recompute its fingerprints for themselves, and verify them against the public record, thus seeing exactly what data existed when. Even if vBase disappeared tomorrow, this audit trail would remain independently verifiable.

vBase is used by people commercializing predictive work — alternative data vendors, quant researchers and signal providers, and investment managers — for the same reason: their business depends on buyers believing predictive claims that can’t otherwise be independently verified.

Allocators, funds, and data consumers are beginning to request this kind of proof as part of commercial diligence.

The same tools work anywhere historical data integrity and verifiable timestamps matter: research reproducibility, model provenance, compliance, and IP protection.

Sign up for a free account and stamp your first record in minutes. Stamping works via our web application, REST API or Python SDK.

Individuals, researchers, and small teams can start on a free tier. Larger enterprise users with production-scale or custom needs should contact us directly to discuss enterprise deployments.

The fastest way to evaluate vBase is to stamp something and verify it yourself!