Manex AI

What Manex AI does

Manex AI builds the operating layer for the autonomous enterprise, providing AI agents, knowledge infrastructure, and decision systems to transform domain expertise into compounding advantage. Their solutions form one production system for autonomous manufacturing, integrating with existing systems and replacing outdated ones. They focus on evolving institutional knowledge into an autonomous system that powers the value chain, particularly in critical industries. Manex AI aims to address the 'value creation crisis' in established enterprises by providing an operating model where information and decisions systematically compound into knowledge, freeing people for creative work and making organizations faster and more precise.

Products

• BlackbeltAn autonomous CAQ (Computer-Aided Quality) system for manufacturing, closing the loop between shop floor, supplier, R&D, and field. It connects every quality signal across the value chain and documents every decision in one place, handling routine quality work and surfacing critical cases for engineers.
• TaktAn autonomous MES (Manufacturing Execution System) that turns the production plan into synchronized execution across machines, materials, and people. It continuously watches the plant and re-plans the moment reality changes, ensuring the schedule stays synchronized with the floor.
• GembaAn autonomous shopfloor system that puts Kosmos in the hands of everyone on the floor. It's a platform for day-to-day decisions, flexible to team workflows, and gets smarter with every action, connecting every operation on the floor to Kosmos so knowledge compounds across shifts and plants.
• KosmosThe Autonomous Enterprise AI Platform and the foundation of Manex AI's operating model. It models business domains, allowing agents, workflows, and applications to act like domain experts. It connects to existing systems, models enterprise domains, orchestrates workflows and agents, and provides a flexible application layer for human interaction.
• HorizonA distribution platform for compounding impact, making every solution built at one site instantly available to every other, allowing local innovation to compound into a single system that grows with every problem solved.

Key capabilities

• Autonomous Enterprise AI Platform (Kosmos)
• AI agents
• Knowledge infrastructure
• Decision systems
• Deployment flexibility (cloud, on-premise, any environment)
• No data lock-in
• Access to industrial AI app, agent, and context ecosystem
• Real-time visibility
• Faster decisions
• Automating manual data work and reporting
• Connecting siloed production data with an AI layer
• Automatic issue tracing to root cause
• Defect detection at the source
• Connected data and automated validation
• Sovereign by default
• Deployable where data already lives
• Data residency compliance (e.g., GDPR for European customers)
• Layered architecture with Governance & Security and Autonomy integrated across the stack
• Data Connectivity to existing systems
• Domain modeling for enterprise understanding
• Workflows & Agents for orchestration and autonomous task execution
• Applications as human interface
• Granular access control
• Existing IAM tool integration
• Complete audit history
• Full resource versioning
• Adjustable retention

Use cases

• End-to-end quality and process optimization from development through production to the customer
• Autonomous quality operations across the manufacturing value chain
• Closing the loop between shop floor, supplier, R&D, and field for quality
• Connecting quality signals across the value chain
• Documenting quality decisions in one place
• Handling routine quality work
• Surfacing critical quality cases for engineers
• Connecting material certificates, process records, inspection data, and supplier documentation at component level for traceability
• Risk assessment based on new failure patterns
• Ensuring field findings reach the next variant with original engineering rationale
• Production execution that keeps its rhythm
• Synchronized execution across machines, materials, and people in production
• Continuous monitoring and re-planning of production schedules
• Holding the production plan against reality
• Absorbing disruptions in production (e.g., late delivery, machine downtime)
• Synchronizing machines, materials, and people across the line
• Capturing and compounding knowledge from the shopfloor
• Connecting every operation on the floor to Kosmos
• Proposing routine optimizations as work happens
• Providing real-time guidance and information at the point of decision on the shopfloor
• Audit readiness that builds itself by accumulating defect history and corrective actions
• Consolidating warranty reports and service records at variant level
• Identifying failure patterns before they escalate
• Showing likely warranty impact of cost-out decisions
• Directing inspection effort to variants and assemblies with emerging patterns
• Providing structured context to service technicians for diagnosis
• Consolidating line incidents, field signals, and supplier issues onto one model for defect analysis
• Preparing defect clusters with prior incidents, process changes, and supplier history
• Capturing decisions, shift handovers, and defect patterns on the floor for wider access
• Digitizing information for operational excellence in industrial machinery
• Connecting build configuration, assembly history, and field outcomes across fleets to identify failure drivers
• Capturing commissioning findings at the point of work and routing to engineering

AI approach

Manex AI builds an operating layer for autonomous enterprises, using AI agents, knowledge infrastructure, and decision systems to turn domain expertise into compounding advantage. Their Kosmos platform models business domains, allowing agents, workflows, and applications to act like domain experts. They focus on industrial AI for manufacturing, with products like Blackbelt (autonomous CAQ), Takt (autonomous MES), and Gemba (autonomous shopfloor system).

Tech named: AI agents, knowledge infrastructure, decision systems, Kosmos (Autonomous Enterprise AI Platform), industrial AI

Industries served

• Manufacturing
• Automotive
• Electronics
• Home Appliances
• Chemistry
• Aerospace
• Industrial Machinery
• Pharma
• Energy
• Defense

What it says sets it apart

• One production system for autonomous manufacturing
• Built on Kosmos, their Autonomous Enterprise AI Platform
• Deployment flexibility (cloud, on-premise, any environment)
• No data lock-in
• Access to the fastest-evolving app, agent, and context ecosystem for industrial AI
• Accountable to production KPIs from the start in critical environments
• Made in Europe under strict AI regulations for critical industry
• Built to meet customer compliance environments
• Sovereign by default
• Deployable where customer data already lives
• Data residency compliance (e.g., GDPR)
• Focus on evolving institutional knowledge into an autonomous system
• Addresses the 'value creation crisis' by transforming operating models
• Connects fragmented quality data across the value chain
• Synchronizes production plans with real-time execution
• Compounds knowledge from the shopfloor across the enterprise
• Offers a defined engagement plan with proof-of-value scope before commitment

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.