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The Instrument

Paradigm.

A policy-governed dataset construction and verification instrument. It validates, fingerprints, signs, and documents every dataset it builds. Each claim it makes is checkable with tools Static Signal does not maintain.

Why It Exists

Why AI systems fail.

Most failures in production AI trace back to one cause: unreliable data.

Schemas drift. Shards disappear. Remote storage falters. Teams retrain models without knowing exactly which data the model learned from.

The result is unpredictable behaviour and brittle systems.

Paradigm removes this uncertainty by making dataset quality an explicit, enforced stage of the pipeline.

Six Domains

Capabilities.

Validation

  • Six tiers: structural checks, subject gate, data quality, perceptual quality, categorical assessment, consistency
  • Pre-flight checks on schemas, compute targets, storage, and credentials before GPU time is spent
  • Drift detection and corruption checks
  • Failed validation blocks the build and records the refusal

Provenance

  • SHA-256 content and schema fingerprints
  • Branch-aware Merkle trees and hash splits
  • C2PA v2.3 content credentials
  • SLSA v1.2 build attestations

Evidence & signing

  • OMS signatures — Sigstore keyless or Static Signal PKI, with rotation and revocation
  • Signed evidence bundle per run: what ran, where, when, on what data
  • Append-only audit trail (JSONL)
  • Runs tracked with an audited lifecycle: queued, dispatched, running, completed

Integrity

  • Drift detection between dataset versions
  • Corruption checks on every shard
  • Health semantics distinguish accessibility from throughput, healthy from slow, broken from degraded
  • Deterministic streaming from the catalogue, not ad-hoc paths

Custody

  • mTLS, PKI with revocation
  • Role-based access, API keys, audit trails
  • Multi-tenant isolation with cross-tenant enforcement
  • Raw inputs deleted within 30 days of acceptance; deletion on request within 7 working days, with signed attestation

Compliance export

  • Exports EU AI Act Articles 9–15 evidence
  • Maps dataset artefacts to technical documentation requirements
  • One evidence pack per engagement, versions recorded cryptographically
Architecture

A single source of truth for data and execution.

Upstream
Data lakes, storage buckets, ETL, raw exports
Paradigm Pipeline
Schema
Pre-flight
Build
Validate
Fingerprint
Dispatch
Execute
Evidence
Catalogue
Downstream
Training frameworks, model registries, serving systems, audit trails
Control Room

The operator console.

What it shows:

Overview dashboard
Dataset health indicators
Run lifecycle monitor
Evidence bundle viewer
GPU dispatch panel
Live probe panel
Log viewer
Object-store status
Command palette
Dataset registration
Compute target controls
Remote-aware controls
Technology

Stack.

01FastAPI backend with async SQLAlchemy
02React/Vite operator console with real-time updates
03Lance 2.0 backend + WebDataset via fsspec
04YAML-based schemas and catalogue definitions
05C2PA + SLSA dual-standard fingerprinting
06OMS-compatible evidence signing with key rotation
07GPU dispatch with CUDA version enforcement
08mTLS agent trust with PKI and certificate revocation
09Pre-flight validation across all resource types
10EU AI Act evidence export
11Branch-aware Merkle trees and hash splits
12Multi-tenant architecture with strict cross-tenant enforcement
13Chain-of-custody lineage graph
14Tested — unit, integration, and extended load and recovery scenarios
Security

Security. In production, not on the roadmap:

Authentication and role-based access

Multi-tenant mode (orgs, teams, projects)

API keys and audit trails

mTLS agent trust with PKI

OMS-compatible evidence signing with key rotation

Kill-switch via certificate revocation

GPU compute with CUDA enforcement

C2PA + SLSA fingerprint stack

EU AI Act evidence export

Pre-flight validation

Chain-of-custody lineage graph

Operated Infrastructure

Paradigm runs inside COSMOS, a control plane that gates every mutation, keeps a hash-chained event log, and composes attestations for each engagement. ARCHON, a sealed execution engine for heavy compute, is in development. Neither is sold.

A Note on Versions

This site does not list our release numbers. Every engagement scope pins the exact instrument versions used, and every evidence bundle records them cryptographically. If you need a version claim, it will be in a document we signed.

Direction

In development: transparency-log inclusion proofs, erasure attestations, and canary tokens for custody; contamination and poisoning scans with measured false-positive rates for integrity. Expected summer 2026. We ship when it’s real.

Paradigm builds, verifies, signs, and documents datasets for regulated AI. In production use on live engagements.

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