The Harness · Platform

01

OMNI

Prepare your data for AI at any scale.

Generate unlimited, privacy-safe synthetic data with mathematically provable guarantees. Built for data science teams in regulated industries — healthcare, financial services, insurance, and public sector. Your most valuable training data is locked behind GDPR, HIPAA, and internal policy. OMNI unlocks it.

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OMNI BIOS AGENT ROUTER ULTRAVOICE

terminal
$ omni ingest --source ./enterprise/
  scanning    2,847 documents
  formats     pdf, docx, csv, voice, api
  output      training-ready corpus
  tokens      3.2M  ✓

Capabilities

What OMNI does

⊞

Tabular Data Synthesis

Generate statistically faithful synthetic tabular datasets that preserve distributions, correlations, and rare-event structure — without exposing real records or PII. Built-in statistical similarity reports validate every export.

◎

Text & Document Generation

Produce realistic synthetic emails, contracts, reports, support transcripts, and conversational data conditioned on your domain templates and entity schemas — not memorized from training data.

▲

Privacy-Safe Augmentation

Augment small or imbalanced datasets with differentially private synthetic records. Tune the privacy budget (ε) to your compliance requirements and audit it in every export.

◈

Hybrid Synthetic Data

Blend real samples with generated synthetic elements to scale datasets infinitely while preserving real-world fidelity. Use HSD when statistical fidelity to production matters more than full record synthesis.

Process

How it works

01

Define

Specify the schema, templates, and privacy parameters for your use case. Set your differential privacy budget (ε) and target distribution.

02

Generate

OMNI produces synthetic records under differential privacy constraints — tabular rows, text documents, or hybrid blends at any volume.

03

Validate

Built-in statistical similarity reports and downstream utility benchmarks confirm the synthetic dataset matches real-world fidelity targets.

04

Export

Export in your preferred format or stream directly into BIOS training pipelines. A signed privacy ledger ships with every dataset.

80%

reduction in annotation effort

30–50%

accuracy gains on minority classes

14

enterprise datasets benchmarked

Zero

real records exposed

Applications

Built for real work

Healthcare

HIPAA-safe patient datasets for AI

Generate mathematically faithful synthetic patient datasets that allow research teams and vendors to build predictive AI models without ever exposing real Protected Health Information.

Financial Services

Fraud detection with rare-event synthesis

Synthesize massive volumes of highly specific edge-case fraud transactions to train banking security models on scenarios too rare in real data to learn from effectively.

Enterprise Testing

PII-free synthetic data for staging

Populate staging and QA environments with highly realistic, PII-free synthetic user databases — accelerating CI/CD pipelines without risking data breaches.

Get started

Train on the data you've never been allowed to use

Air-gapped. Private. Yours. Start with a working proof-of-concept at no cost.

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