Hyper
Hyper Anthologies provides an enterprise AI platform that operates as a four-layer loop inside a customer's own infrastructure boundary. The platform combines Hyper Ontology, Pragma, Engram, and Noesis to model business operations, enable governed agentic action, retain decision memory, and provide interpretability. Deployment is a fully managed engagement with forward-deployed engineers, and all assets created—including the ontology, applications, agent infrastructure, weights, and decision archive—remain under the customer's ownership.
- Artificial Intelligence
- AI Agents
- Developer Tools
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Enterprises often rely on outsourced development teams or vertical SaaS vendors to build custom software, which creates dependencies, limits flexibility, and results in code they don't fully control. Low-code tools also fail when teams need custom logic or specific frontend tooling, forcing developers into rigid paths that break their architecture.
Solution
Hyper Anthologies provides an enterprise AI platform that operates as a four-layer loop inside the customer's own infrastructure boundary. Hyper Ontology serves as the foundation layer, carrying the semantic and kinetic model of how a business operates, while Hyper Pragma is the agentic layer that turns that context into governed action. Hyper Engram retains decisions and judgment created through work, and Hyper Noesis makes the resulting intelligence inspectable and understandable. Deployment is a fully managed engagement rather than a self-serve subscription, with forward-deployed engineers establishing the loop inside the customer environment and configuring it to how the organization actually operates. All assets created through the engagement—including the ontology, applications, agent infrastructure, weights, and decision archive—remain under the customer's ownership.
Target Audience
Primary customers are enterprise organizations and developer-led businesses seeking to replace outsourced development with internal AI-accelerated coding while maintaining complete architectural control and data sovereignty.
Features
- Hyper Ontology foundation layer carrying the Semantic and Kinetic model of business operations
- Hyper Pragma agentic layer that transforms contextual intelligence into governed action
- Hyper Engram memory layer retaining decisions and judgment created through work
- Hyper Noesis interpretability layer making resulting intelligence inspectable and understandable
- Agents run on weights the organization controls, with memory accumulating in the customer's environment and no training data exported
- Continuous audit trail from agent decision through weight distillation with SOC 2 Type II, GDPR, HIPAA, and CCPA compliance