HR has every system except a system of record.

Workday is your system of entry. Your ATS is your system of operations. ADP runs payroll. Cornerstone runs learning. None of them is the canonical record of your workforce — and when one of them gets replaced, the data goes with it.

Aderit is the persistent data layer underneath your existing stack: the source of truth your apps, your analytics, and your AI agents all read from.

• 300+ vendor connectors
• One canonical data model
• Agent-ready
• Built for the Fortune 2000

Every major HR category has its own system. None of them is the record.

The Fortune 500 average is sixteen HR applications — HCM, ATS, LMS, payroll, compensation, engagement. Each is a system of entry, where data is keyed in and workflows run. None is a system of record in the sense that the general ledger is for finance, or the identity graph is for who someone is across systems.

Workday gets called the system of record by default, because nothing else competes for the role. But its data is locked to its schema and tightly coupled to its workflows. When you leave, the canonical history goes with it — or gets reconstructed at six- and seven-figure cost. Meanwhile the other fifteen applications each operate as their own miniature record for their slice of the truth, with no reconciliation across them.

That is the layer Aderit builds. The systems of entry keep being systems of entry. We make them collectively legible.

Two layers. One record.

A structured evidence vocabulary runs through both layers, so stakeholders always know the quality of the data behind a record or a recommendation. Memory governance is built in, not bolted on.

Built for regulated decisions, not just automation

Aderit is written in Ballerina, a language purpose-designed for integration and cloud-native services. HR technology is fundamentally an integration problem: hundreds of vendor APIs, each with different authentication schemes, pagination quirks, rate limits, and data models. Treating network interactions as first-class language constructs means connector development takes days rather than months.

The platform runs on AWS with a serverless-first architecture — Lambda for compute, Step Functions for deterministic multi-agent orchestration, DynamoDB for operational control state, PostgreSQL for the canonical store. It scales from a 500-person pilot to a 50,000-employee enterprise without architectural changes.

Per-agent permissioning is built in. Reconciliation logic is configurable per customer. The data model self-extends as new sources are added.

Four decades of HR technology, from mainframe to agentic AI

Our founding team has lived through every generation of workforce technology: mainframe payroll in the 1980s, client-server HRIS in the 1990s, the first wave of SaaS HCM in the 2000s, cloud-native platforms in the 2010s, and now the agentic era. That history teaches you which problems are structural and which are hype. Integration has been the unsolved structural problem in HR technology for forty years.

Let's talk about the layer underneath

Whether you're evaluating the agentic HR landscape or exploring a partnership, we'd rather show you the system than describe it.