Technology

Built on peer-validated research. Engineered for enterprise-grade AI workflows.

Date of Publication - 01.08.2024

Dynamic Storage Optimization for Communication between AI Agents

Date of Publication - 20.10.2023

An Evaluation of Storage Alternatives for Service Interfaces Supporting a Decentralized AI Marketplace

Conference paper - 08.07.2022

Performance Analysis of an Ontology Model Enabling Interoperability of Artificial Intelligence Agents

Conference paper - 16.07.2021

A Decentralized Ontology Versioning Model Designed for Inter-operability and Multi-organizational Data Exchange

Conference paper - 09.08.2020

An Ontology Model for Interoperability and Multi-organization Data Exchange

Conference paper - 08.08.2020

Dynamic Consensus: Increasing Blockchain Adaptability to Enterprise Applications

Conference paper - 08.05.2019

The Evolution of Blockchain Virtual Machine Architecture Towards an Enterprise Usage Perspective

The Engine Behind Enterprise AI

Explore Kognital’s layered architecture—secure, composable, and built for real-world complexity.

Stakeholders

Service Consumer architecture line

AI Innovator architecture line

Data Provider architecture line

Infrastructure Provider

Platform

AI Xplorer Toolkit SDK architecture line

Daemon

Network

Services

Registry AI and Data Warranty Ontology Reputation & Rating Execution Storage

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Kognital VM

Kognital Worker N

Kognital VM

The Core of Kognital Technology

The foundation behind Kognital’s technology, connecting innovation, trust, and intelligence into one seamless ecosystem

Economy of Innovation

Kognital empowers teams to monetize their AI applications, agents, and workflows within a unified ecosystem. By aligning economic incentives with innovation, we enable developers and enterprises to continuously improve performance, reliability, and business value across the AI lifecycle.

Service Quality

Kognital uses an observability and feedback-driven reputation model to assess AI app performance, reliability, and compliance. Every deployment is monitored and benchmarked, ensuring consistent results and trust between developers, data providers, and enterprises.

Unified AI Marketplace

The Kognital Marketplace provides a seamless environment to discover, deploy, and integrate AI apps or agents, without complex setup. It connects developers, businesses, and infrastructure providers into a single, interoperable ecosystem for enterprise-ready AI execution.

Enterprise Integration

AI adoption is often slowed by integration complexity. Kognital simplifies this with pre-built connectors, SDKs, and APIs that fit existing enterprise stacks, from cloud-native to on-prem environments, enabling deployment without disruption.

Orchestrated Intelligence

Kognital’s orchestration layer manages AI agents, data pipelines, and execution environments dynamically. It ensures scalability, workload balancing, and fault tolerance across distributed infrastructures while maintaining efficiency and consistency.

Data Privacy & Compliance

Data processed through Kognital remains fully protected under enterprise-grade encryption and governance. AI workloads execute in secure environments where neither Kognital nor third parties access the underlying data or models.

Ecosystem Balance

Kognital sustains equilibrium between innovation, trust, and efficiency. Developers create powerful AI solutions, businesses deploy them securely, and the system continuously optimizes to ensure fairness, transparency, and growth for every participant.

The Pillars of a Robust AI

Challenging the most difficult problems faced by AI Platforms

Ease of Integration

Simplify how teams connect models, data, and APIs through unified orchestration — enabling fast adoption without complex setup.

Enterprise Security

Ensure data confidentiality, model integrity, and IP protection through end-to-end encryption and policy-based access control.

Intelligent Economy

Facilitate transparent value exchange between data, compute, and AI services, powering a sustainable ecosystem for innovation.

Interoperability

Adopt standardized interfaces that enable AI agents, models, and workflows to collaborate seamlessly across enterprise environments.

Scalability

Leverage elastic infrastructure to deploy, execute, and scale AI workloads across distributed or hybrid environments.

Cross-Cloud Orchestration

Enable AI systems to operate across different cloud providers, ensuring continuous execution and data flow without dependency on a single infrastructure.

The Future

AI made simple. Kognital just works.