Northhaven
Hub.
Generate enterprise-grade synthetic datasets in minutes. Pick your sector, load tokens, configure your schema, and export clean data — no code, no PII, full compliance proof included.
From Schema to Dataset
in Four Steps
No engineers needed. No NDAs with us. No real data uploaded. Just clean, compliant synthetic data — in minutes.
Purchase a token package — tokens are your generation currency. Each record generated costs one token. Unused tokens roll over, never expire. Top up any time from your dashboard.
Choose from 13+ pre-built sector templates or define a custom schema. Set variable types, distributions, constraints, and business logic. No real data ever leaves your environment.
Hit Generate. Our UTGAN + ARA neural engines produce statistically perfect synthetic data with real-world anomalies. Optionally inject macro stress scenarios — rate shocks, liquidity crises, ESG shocks — before export.
Download your dataset as CSV, JSON, or Parquet. Connect directly to your MLOps pipeline, AWS S3, Azure Blob, or Databricks via our REST API. Every export includes a PDF Compliance Report ready for your DPO.
This Is What the
Hub Looks Like
A preview of the generation dashboard — configure, generate, and export all from one interface.
| company_id | industry_sector | ebitda_margin | default_status | credit_score |
|---|---|---|---|---|
| SYN-7f3a2c | Manufacturing | 0.31 | false | 742 |
| SYN-1d9e4b | IT | 0.47 | false | 801 |
| SYN-5c8f1a | Real Estate | 0.08 | false | 612 |
| SYN-2b7d9e | Manufacturing | -0.14 | true | 421 |
| SYN-9a4f6c | IT | 0.52 | false | 789 |
| SYN-3e1b8d | Real Estate | 0.12 | false | 634 |
| SYN-6d2c5f | Manufacturing | -0.22 | true | 388 |
| SYN-8f5e3a | IT | 0.39 | false | 718 |
13+ Sectors.
All Pre-configured.
Every sector comes with built-in schema templates, domain-specific constraints, and realistic statistical distributions out of the box.
Credit risk, fraud detection, IFRS9, AML, private debt exit modeling.
Patient records, clinical trial cohorts, EHR sequences — HIPAA-safe.
Churn, LTV, recommendation signals, demand forecasting, fraud.
Network traffic logs, threat patterns, SOC incident timelines.
TTF gas price series, grid failure patterns, renewable generation profiles.
Collision scenarios, fleet telemetry, EV range, UBI pricing datasets.
AVM valuation, mortgage default, tenant churn, ESG carbon liability.
Cold-start datasets, bias-scrubbed training data, LLM fine-tuning packages.
Frequently Asked
Questions
One token generates one synthetic record. If you generate a credit risk dataset with 50,000 rows, that costs 50,000 tokens. Tokens are consumed at the moment of generation — exports, re-downloads, and compliance PDFs do not cost additional tokens.
Never. Tokens have no expiry date. Buy a pack when you need it and use it at your own pace — whether that’s today or six months from now. Unused tokens from multiple purchases stack in your account balance.
Yes, by mathematical design. We use DP-SGD (Differential Privacy) during generation, which provides a formal mathematical proof that no real individual’s identity can be reverse-engineered from the output. Every export includes a Compliance PDF with Wasserstein distance and Kolmogorov-Smirnov metrics that your DPO can sign off on in minutes.
No. You only define a schema — the structure of your data (column names, types, distributions, constraints). No real records, no real names, no real transactions ever enter our platform. Your actual data never leaves your environment.
CSV, JSON, and Apache Parquet — depending on your plan. All exports are immediately compatible with standard MLOps pipelines, data warehouses (Snowflake, BigQuery, Databricks), and cloud storage (AWS S3, Azure Blob, GCP). Pro plans and above include API access for direct pipeline integration.
Every dataset export includes an automatically generated PDF report containing hard mathematical metrics: Wasserstein distance (statistical similarity to real-world distributions), Kolmogorov-Smirnov test results, fidelity score, and DP-SGD epsilon value. This document is designed to be placed directly on your DPO’s desk as legal proof of compliance.
Yes — available on Pro plans and above. The Scenario Engine lets you inject synthetic macro shocks into your generated data before export: interest rate shocks, liquidity crises, ESG carbon tax scenarios, competitive market entries. Each scenario run uses your standard token balance (1 token per record).
Scale and Enterprise plans include custom schema engineering support. Our team will work with you to define the exact statistical properties, constraints, and domain logic for your use case. Enterprise clients can also commission entirely new sector templates built specifically for their vertical.
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in the queue.
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