Data pipeline trust infrastructure

Know why you can trust your DATA

AuditSpine seals every transformation boundary with a cryptographic chain — so every pipeline decision is traceable, reproducible, and provably correct.

See capabilities How it works
2,000+
Tests passing
SHA-256
Chain sealed
3-tier
Data · Compute · Results
OpsLevel 7
Autonomous proof
How it works

Not a watermark.
Sealed Assurance.

Standard streaming systems assign records to windows using probabilistic timestamps. AuditSpine seals a verifiable snapshot boundary at ingest — decoupling event time from system truth and making every window closure deterministic and cryptographically verified.

01

Sealed at ingest

Every record is assigned a sealed snapshot position at ingest. No wall-clock dependency. No late-arrival ambiguity.

02

Seal the window

Bronze → Silver → Gold medallion layers accumulate a SHA-256 hash chain. Once sealed, a window is immutable — appending a late record changes the hash and is detected immediately.

03

Audit checks during execution

Audit checks run across every sealed window — aggregates, ML signals, and tier transitions are verified against the sealed boundary. No separate audit pass required.

04

Proven at every tier — Data, Compute, Results

Data sealed at ingest. Compute proven across CT1 (local), CT2 (Docker), and CT3 (GCP cloud) — identical chain hashes across all environments. Results verified: aggregates and ML signals checked against the sealed record.

Proof of concept

Real data.
Real results.

The AuditSpine POC runs the NYC Taxi 2024 dataset — 2.9M records — through the full Bronze → Silver → Gold pipeline with live MLflow, real RMSE gates, and cross-tier chain hash verification. Results are published at the proof subdomain as they complete.

NYC Taxi 2024

2.9M records. GCS-native parquet. SHA-256 input verified. Full medallion pipeline.

Cross-tier parity

CT1 (local) → CT2 (Docker) → CT3 (GCP cloud). Same chain hash across all compute tiers.

VLDB 2026

Workshop paper drafted for QDB @ VLDB 2026 (Boston, Aug 31–Sep 4). Formal SAP impossibility proof for Delta Lake.

View proof results →
Integrations

Proof first.
Partner motion next.

We are validating warehouse integrations with small, read-only smoke proofs before turning them into PoC and pilot conversations. Databricks, BigQuery, and Snowflake integrations are complete at the smoke-proof level.

Completed

Databricks

Read-only smoke proof completed against a live SQL warehouse using authenticated connectivity and query execution.

Completed

BigQuery

Read-only smoke proof completed against BigQuery using authenticated connectivity, native time-travel snapshots, and query execution.

Completed

Snowflake

Read-only smoke proof completed against Snowflake using authenticated connectivity and a minimal verification query.

Request early access.

We are onboarding pilot customers now. Data teams, regulated industries, audit-sensitive workloads.

contact@auditspine.com
Or reach us at greg@auditspine.com