Skip to main content
FOR AI BUILDERS

Rich Datasets,Verified for AI.

Access cryptographically verified institutional datasets. Train your models on pristine, high-value data, without risks.

Request Access to Datasets
Cryptographically verified
Zero custody enforced
11+ quality dimensions

Quality Certificate

Transaction Logs

APR-2026-0038 • completed 2 days ago

Verified
0
/ 100
Verified
Completeness
80
Uniqueness
76
Accuracy
71
Timeliness
66
Institutional • Banking
Prove a dataset meets your quality threshold without exposing its contents.
Data never leaves the institution. Zero custody risk.

The Problem

The data quality gap
is a competitive gap.

01 / Public Datasets

Exhausted

Your training data is already in every other model. No competitive advantage. No differentiation.

02 / Synthetic Data

Artificial

Generated patterns don't match real-world complexity. Your models fail in production.

03 / Institutional Data

Cryptographically Verified.

Zero custody. 11+ dimension quality scores. Accessible exclusively through verifiable channels.

Request Access

What You Can Access

Verified datasets.
Proven quality.

BioTech

Genomic Sequence Modeling

Access diverse, cryptographically verified genetic variants without transferring raw patient DNA records.

VariantsSequences
Fintech

Algorithmic Fraud Detection

Train on 50M+ verified fraud events. Zero custody ensures no raw PII or transaction histories are exposed.

LedgersAnomalies
Supply

Cost Engine Modeling

Optimize pricing engines using proprietary enterprise freight data, verified via ZK proofs.

FreightPricing
Quant

HFT Alpha

Backtest against institutional order book data. Quality scored across 11+ dimensions before you commit.

Order BookL2 Data
Request Dataset Access

How It Works

Prove quality.
Never move the data.

01

Request Data

Submit your requirements, or browse existing verified datasets from institutional partners.

02

Key Step

Verify Quality

Define your quality criteria. The protocol checks every record against your requirements and returns a verified result. No raw data is ever exposed.

03

Access & Use

Pay and receive verified access. Data stays with the source. You get confirmed quality for your use case.

FAQ

Common questions

How do I know the data meets my requirements?
Every dataset on Aseryx goes through a two-layer verification. The first layer checks provenance and readiness. The second scores information richness across 11+ dimensions. You see the full verified breakdown before committing any budget.
Can I evaluate data quality before I pay?
Yes. The appraisal certificate and richness score are available before any transaction. You see proof that the dataset meets a defined quality threshold without the institution exposing its contents.
How can I trust the quality score without seeing the raw data?
The score is not a self-reported claim. It is the output of a verification protocol that either passes or fails. You verify the proof, not the data. The result is deterministic and independently reproducible.
What if I need to verify something the standard appraisal does not cover?
You define your own criteria. Set the variables, the acceptable ranges, and the failure tolerance. The protocol checks every record in the dataset against your requirements and returns a pass-or-fail result with failure counts per variable. You see exactly whether the data qualifies. The raw records never leave the provider.

Better data.
Better models.

Access verified institutional data no other model has trained on.

Request Access to Datasets