CERN Expertise and
Real-World AI SolutionsWhat is Cledar?
Led by former CERN domain leaders, Cledar is a team of data scientists, technology experts, and software engineers united by a desire to achieve big things with big data. We design, build, and refine data-driven applications that will help you to make sense of – and thrive – in the world around you.
Turning AI Pilots into Enterprise Advantage
MARKET REALITY
AI has moved from experimentation to core capital expenditure. Non-adoption is now an existential risk as competitors automate decision cycles and reset cost structures
WHY PILOTS STALL
Even with significant financial investments, companies are seeing only modest results—not due to weak models, but because structural obstacles prevent them from scaling
MARGIN PRESSURE
Companies spend money developing AI prototypes but cannot scale them effectively, preventing cost savings and revenue losses
THE ONTOLOGY EDGE
Ontology provides the adaptive fabric that enables AI to reason and act across systems, transforming isolated pilots into enterprise-wide impact
Ontology-driven AI
Cledar turns fragmented data into a single source of truth, laying the foundation for enterprise AI adoption
PRODUCTIVITY
BOOST
Cledar's cuts decision cycles from weeks to hours, increasing productivity four times
COST
OPTIMIZATION
Ontology-driven platform reduces decision cycle delivering up to 10% OPEX savings
ROI
MAXIMIZATION
Cledar provides the semantic glue that allows faster deployment, higher ROI
PRODUCTIVITY
BOOST
Cledar's cuts decision cycles from weeks to hours, increasing productivity four times
COST
OPTIMIZATION
Ontology-driven platform reduces decision cycle delivering up to 10% OPEX savings
ROI
MAXIMIZATION
Cledar provides the semantic glue that allows faster deployment, higher ROI
Platform features & benefits
Secure, Modular Infrastructure
Features:
Runs complex workloads across cloud, on-prem, and hybrid models.
Built-in governance, cost visibility and compliance
Benefit:
Scales seamlessly while ensuring compliance and trust
Unified Data Foundation
Features:
Integrates fragmented data sources into a unified semantic context
Provides a single, governed source of truth
Benefit:
Harmonizes enterprise data and eliminates silos
Ontology - Driven Intelligence
Features:
Runs complex workloads across cloud, on-prem, and hybrid models
Built-in governance, cost visibility and compliance
Benefit:
Scales seamlessly while ensuring compliance and trust
Data Preparation & Quality Engine
Features:
Integrates fragmented data sources into a unified semantic context
Provides a single, governed source of truth
Benefit:
Harmonizes enterprise data and eliminates silos
Adaptive AI Agents
Features:
Deploys configurable agents that reason across data
Executes end-to-end tasks autonomously
Benefit:
Automates workflows, reducing manual effort and delay
Conversational & Visual Analytics
Features:
Natural language querying and instant visualization
Full BI and SQL integration for technical teams
Benefit:
Democratizes analytics while preserving depth and control
Ontology Flywheel Advantage
With every new deployment, the ontology becomes richer and unlocks faster time-to-value. That momentum creates a self-reinforcing moat and drives ever-higher adoption and ROI.
Next Steps
1-2 weeks
INITIAL SCOPE
Goal
Align on objectives, challenges, and problem scope
Action
Orientation call, sample use cases, data/policy questionnaire, and high-level value statement
2-8 weeks
PROOF OF CONCEPT (POC)
Goal
Prove value and validate assumptions on a use case
Action
Previously agreed upon POC alongside technical documentation of early results with insights and learnings
2-3 weeks
REQUIREMENT DEFINITION
Goal
Convert POC insights into production requirements
Action
Detailed requirement matrix, model options, governance and compliance design, and implementations roadmap
2-6 months
SCALE-UP (MVP)
Goal
Deploy the MVP, integrate systems, optimize workflows
Action
System configuration, integration with live sources, user onboarding, dashboards; governance and support framework initiation
+1 year
LONG-TERM CONTRACT
Goal
Transition from MVP to steady-state operations and continuous value delivery
Action
Production-grade platform, maintenance and support, roadmap, and quarterly governance cadence
Interested?
Leave us your email, and we do the rest.