Build your software. Deploy your agents.
OntologyHR is an enterprise platform that lets you build the software you need and deploy agents to execute work inside it — starting with the most complex operational domain in the company: HR.
The traditional model of enterprise software is obsolete.
Two structural shifts are redefining how companies operate — and together, they make buying dozens of SaaS tools the wrong default.
Software Creation
You no longer need humans to write all software. AI dramatically lowers the cost and speed of development — making custom-built tools accessible to every enterprise.
Work Execution
You no longer need humans to execute every task. AI agents perform work alongside people — handling operational volume at scale, continuously and reliably.
The future belongs to enterprises that build and own their own software, and deploy agents to execute work inside it.
Custom software is still hard. Agents still don't work.
Despite AI making development easier, enterprises struggle to build and deploy their own software. Four structural problems stand in the way.
It Is Still Slow
Even with AI coding tools, enterprise-grade software still requires infrastructure, integrations, deployments, and security frameworks.
Integration Is a Nightmare
Every company has identity systems, security layers, permissions, and dozens of internal tools. Custom software must integrate with all of them.
Tool Sprawl Kills Adoption
New internal software means new logins, new workflows, and fragmented context — reducing adoption before it has a chance.
Agents Have No Real Context
Today's agents lack system permissions, enterprise data context, control boundaries, and orchestration capabilities.
Agents today cannot actually operate a business. They are disconnected from the systems, data, and workflows that make real work happen.
One platform. Infinite operations.
Ontology is an enterprise platform for building custom software and deploying agents to execute work — coordinating humans, agents, and systems in a single environment.
Build
Create your own applications tailored to your exact operational needs — no vendor constraints.
Deploy
Launch agents inside your applications to execute work automatically, at scale, with full context.
Orchestrate
Coordinate work across humans, agents, and systems — all within a single enterprise environment.
We started in the belly of the beast.
HR Operations is one of the most complex operational environments inside a company. That complexity is exactly what we needed to build the primitives for real business operations.
Dozens of Systems
Coordinating identity, payroll, benefits, and compliance across a fragmented landscape.
Complex Compliance
High-stakes regulatory requirements with zero tolerance for error or audit gaps.
Human Review Processes
Security-sensitive data requiring careful human oversight at critical decision points.
High Operational Volume
Thousands of tasks, requests, and workflows running simultaneously across the org.
We didn't start simple. We started hard. And that made everything else possible.
The foundation: a data system designed for AI.
At the core of the platform is OntologyDB — a new type of enterprise data system. Instead of agents guessing context from APIs, they operate directly within the enterprise ontology.
Unified Data Model
Full enterprise context across all data sources — a single source of truth for every agent and workflow.
Immutable Event Tracking
Every action recorded permanently — time travel for system state and forensic-level visibility.
Permissions Control
Structured relationships between entities with enterprise-grade security baked into the data layer.
A new language for describing operations.
What previously required thousands of lines of code can now be expressed in a compact format that AI can understand and generate. A small program can generate an entire onboarding system.
workflow OnboardEmployee {
trigger: new_hire.created
step verify_identity {
agent: ComplianceBot
bounds: { max_iter: 4, budget: $0.10 }
}
step approve {
actor: human(role: "compliance_officer")
requires: verify_identity.recommendation
}
step provision {
systems: [okta, payroll, benefits]
audit: immutable
}
}Application Workflows
Full end-to-end process logic encoded in compact, readable programs.
Agent Behaviors
Define how agents act, what they access, and when they hand off to humans.
Task Definitions
Full apps and small purpose-built UIs generated from minimal specifications.
Operational Systems
Complete business operations — from intake to resolution — expressed as programs.
Humans and agents, working together.
Tasks dynamically move between humans and agents based on context, complexity, and policy — all within the same operational environment.
Trigger Agent
Workflow starts; agent picks up the task.
Gather Data
Agent reads from connected systems.
Route to Human
Compliance officer reviews and approves.
Execute Steps
Automated provisioning across systems.
Log & Audit
Immutable record of every action.
Tasks dynamically move between humans and agents — ensuring the right executor handles each step, every time.
You own the software. You own the future.
A core principle of Ontology is enterprise ownership. This eliminates dependency on external SaaS vendors — the software evolves with the business.
The Software
Built to your specifications, not a vendor's roadmap.
The Workflows
Modified instantly as your operations evolve.
The Agents
Deployed and controlled entirely within your environment.
The Data
Yours — never locked in a vendor's database.
The Logic
Operational intelligence that compounds over time.
Agent governance, not agent autonomy.
The Compliance Bot reviews onboarding packets for completeness and accuracy. The agent does the analysis. The human makes the decision. The workflow records both.
Task context, form fields, compliance guidance documents.
Document completeness, expiry dates, missing fields.
Approve, flag, or escalate with detailed reasoning.
Compliance officer reviews recommendation and signs off.
- Max Iterations
- 4
- Max Tokens
- 8,000
- Max Budget
- $0.10 / task
This is how you deploy AI in production: useful work with human oversight.
Built for everyone who builds.
Now that the core platform exists, the next step is to open Ontology to the world. Any organization can build their own operational software, deploy agents, and create entirely new business products.
Enterprises
Replace fragmented SaaS stacks with owned, integrated operational software.
Startups
Launch new companies on top of the platform — enterprise-grade infra from day one.
Developers
Build powerful operational applications with the Ontology programming model.
Partners
Extend the platform, build vertical solutions, deliver Ontology-powered products.
A new operating layer for enterprises.
Ontology is the infrastructure layer for AI-native organizations — the same way cloud was the infrastructure layer for SaaS. Every industry. Every workflow. Every operation.
Ready to engineer your HR?
See how Ontology lets your team build the software you need and deploy agents that actually do the work.