Yukosa brings enterprise data intelligence and workflow automation together so organisations can turn fragmented information into trusted insight and automate the processes that act on it.
One platform. Every enterprise capability.
Enterprise systems produce data. Teams need trusted intelligence and processes that can act on it. Yukosa connects both.
datalyon.ai focuses on the data side of the enterprise: connecting data sources, integrating and preparing data, assessing quality, applying semantic intelligence, generating AI-powered analytics, and turning the result into business intelligence.
meta-flow.ai focuses on the process side: designing workflows, connecting applications, orchestrating activities, triggering automation, processing documents, and inserting AI agents into workflows when a step requires reasoning or flexible handling.
Together, these products provide a foundation for organisations that need both trusted information and intelligent process execution.
Each Yukosa product addresses a different part of the enterprise intelligence lifecycle while sharing the broader platform ecosystem.
AI Workflow Automation
meta-flow.ai turns business processes into connected, orchestrated workflows. It combines visual workflow design, reusable activities, integrations, triggers, scheduling, intelligent document processing, AI assistance, and AI agents as workflow activities.
AI Data Intelligence
datalyon.ai turns fragmented enterprise data into trusted business intelligence — connecting data sources, assessing and improving data quality, applying semantic intelligence, and generating AI-powered analytics and decision-ready insight.
Platform Roadmap
The Yukosa platform is designed as a foundation on which additional enterprise AI, data, and automation capabilities can be introduced over time.
The Yukosa platform connects enterprise systems and data sources to intelligence capabilities and business applications through a shared platform foundation.
Connect the systems that generate enterprise data and business events: applications, databases, APIs, documents, and other operational sources.
Bring information into the platform for integration, preparation, and process execution — this is where connected data and workflow inputs are made available to downstream intelligence and automation.
Apply data quality, semantic intelligence, AI analytics, and document intelligence on the data side; apply workflow logic, orchestration, triggers, and AI agents on the process side.
Deliver the result through business intelligence, dashboards, workflow actions, connected applications, and AI-assisted business processes.
The datalyon.ai data lifecycle forms one side of the Yukosa platform story.
Connect enterprise data sources and systems.
Ingest and integrate data from multiple sources.
Profile data and analyse quality, patterns, and anomalies.
Clean and transform data for reliable downstream use.
Apply the AI semantic layer to add business context and meaning.
Use the AI analytics engine to generate insights and support analysis.
Present information through interactive dashboards and visualisations.
Turn trusted data into business intelligence and business decisions.
The meta-flow.ai workflow lifecycle forms the automation side of the Yukosa platform story.
Build the workflow visually in Design Studio or use AI assistance to accelerate workflow creation.
Connect the applications, systems, documents, and services involved in the process.
Start workflows from configured events or schedules.
Coordinate activities and multi-step workflow execution.
Insert an AI Agent when a process step requires reasoning or handling of complex and unstructured information.
Execute workflow activities and update connected systems.
Review execution and refine the automation as the process evolves.
The platform foundation supports both data intelligence and workflow automation.
Connect applications, databases, APIs, documents, and other enterprise sources.
Use supported AI models and AI processing capabilities where they add value to data or workflows.
Profile, assess, prepare, and enrich enterprise data for analytics and decision-making.
Design and run multi-step workflows using activities, rules, triggers, and schedules.
Coordinate connected workflow activities and AI-driven steps.
Use AI agents within workflows for complex and unstructured process steps.
Extract and process information from documents as part of intelligent workflows.
Turn processed enterprise data into dashboards, analytics, and decision-ready insights.
Extend and connect the platform to the enterprise technology environment.
Yukosa uses AI in different ways across data intelligence and workflow automation.
datalyon.ai uses AI capabilities for semantic intelligence, analytics, natural-language interaction, and automated insight generation.
The meta-flow.ai AI Assistant helps users ask questions and build workflows in Design Studio.
meta-flow.ai allows AI agents to operate as workflow activities for complex and unstructured process steps.
Intelligent document processing helps turn document information into structured data that downstream workflows can use.
The platform connects the data lifecycle and the process lifecycle.
Assess, prepare, and enrich data, or interpret information through AI and workflow capabilities.
Explore Stage
Use AI analytics, business intelligence, or AI agents to support decisions and complex process steps.
Explore Stage
Instead of managing data intelligence, automation, and AI as disconnected tools, Yukosa connects the capabilities around the business process.
Disconnected Tools
Data intelligence, automation, and AI are managed as separate, disconnected systems.
Fragmented Data
Enterprise data stays scattered across systems, hard to trust or act on.
Manual Hand-offs
Processes rely on manual hand-offs between teams and tools.
AI as a Separate Tool
AI sits outside the data and workflow experience, bolted on rather than built in.
Connected Platform Ecosystem
Data intelligence and workflow automation work together on one platform.
Integrated & Prepared Data
Data is connected, assessed, and prepared before it reaches a decision.
Orchestrated Workflows
Multi-step processes run through coordinated, automated orchestration.
AI Embedded in the Experience
AI is built into both data intelligence and workflow execution.
Yukosa is designed to support controlled access, secure integrations, and governed use of enterprise data and AI capabilities.
Role-based access and permissions control who can view and act on enterprise data and workflows.
Secure, encrypted connections between the enterprise systems the platform connects to.
Controlled access to data and platform capabilities across teams and workspaces.
Governance for how AI and connected systems are used across the platform.
Deploy on-premises, inside custom clouds, or in hybrid environments.
Elastic, dynamically scaled infrastructure built to support connected workloads.
