Build, validate, and demonstrate people analytics completely risk-free. Synthetic organizations provide highly realistic data to power your dashboards and audits, ensuring 100% privacy with zero real-world data exposure.
A synthetic organization platform purpose-built for people analytics and reporting. It provides organizations and B2B HR teams with realistic, privacy-safe data environments.
Builds the company: structure, departments, levels, pay, and history.
Brings it to life: consistent people who remember and respond.
Running people analytics at a mid-sized company? Get a realistic organization to build and validate on, instead of waiting on data access, masking projects, or IT queues.
Selling to or serving mid-sized companies? Fill demos, sandboxes, and training environments with organizations that look like your buyers' companies.
The reporting jobs below usually wait on access approvals, masking projects, or a stale test tenant. On synthetic data, none of them touch a real record.
Design and format dashboards in Tableau, Power BI, or Looker before live data connections are approved.
Check that charts, heatmaps, and trend lines render correctly on realistic distributions.
Test how the interface handles long names, deep hierarchies, and overlapping data points.
Verify calculated fields like turnover rates, compa-ratios, and time-to-hire before they ship.
Validate pay equity reports on simulated demographic distributions.
Prove survival curves and cohort retention math on data where the right answer is knowable.
Generate mock compliance reports and test the submission workflow end to end.
Simulate salary band reporting and confirm out-of-band exceptions trigger the right flags.
Trace data lineage from raw tables to the final PDF without exposing payroll figures.
Verify a regional HR manager sees only their region's reporting data.
Confirm managers can run reports on their own downline and nobody else's.
Test executive summaries so totals roll up correctly while individuals stay invisible.
Show analytics modules to prospects on data that looks like a real company, because it's built like one.
Nothing masked, and nothing borrowed from a real customer.
Give report writers a sandbox where they can build, edit, and break things without consequences.
New analysts learn on realistic patterns instead of tidy fake rows.
Most teams start by writing a script that assigns random names, titles, and salaries. It works until the data has to behave like an organization.
Random salaries against random titles: an intern earning $190k, a VP at $52k. Nothing in the data agrees with anything else.
Salary, title, tenure, and department stay in agreement, the way they do in a real company.
Flat, uniform distributions. Every department the same size, every age bracket identical. Charts come out as perfect, unrealistic blocks.
Bell curves, skew, and outliers. Dashboards show the shapes real workforces make, so you see how reports handle human variance.
Broken reporting chains: employees whose manager doesn't exist, circular reporting lines, a manager with hundreds of directs.
A clean tree. Every employee maps to a manager, up to a single CEO, so org-chart visuals and rollups never break.
Suspiciously perfect data. Every field filled, every format clean, nothing your reporting code will ever meet in production.
Realistic noise on purpose: hyphenated names, overlapping leaves of absence, a re-hire with a gap in their history. The edge cases that break reports, included by design.
Days or weeks to write and debug, then a rewrite every time the schema changes.
Describe the company you need and get it. The generator carries the maintenance, not your team.
| Scripting it yourself | True synthetic data | |
|---|---|---|
| Logic | Rigid rules | Learned from how real organizations behave |
| Correlations | None, unless coded by hand | Preserved naturally |
| Setup | Days to weeks of coding | Minutes of configuration |
| Best for | Simple unit tests | Analytics, dashboards, and reporting at full complexity |
Tell us what you're trying to validate. We'd like to hear it while we build.
info@haileco.org