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About Us

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About ASKELA

Two Decades of AI Excellence in Critical Applications

Founded in 2008 by a team of engineers and doctoral researchers, ASKELA has spent two decades developing sophisticated artificial intelligence systems for organizations where technical excellence and operational discretion are paramount. Our expertise encompasses the complete AI spectrum—from classical expert systems and knowledge engineering through contemporary large language models and autonomous agents—enabling optimal technology selection based on problem requirements rather than industry trends. We serve select clients across defense, research, luxury, professional press, and industrial sectors, maintaining strict confidentiality throughout all engagements.

Classical Through Contemporary AI

Comprehensive expertise from expert systems and knowledge graphs through large language models and autonomous agents—twenty years mastering the complete AI spectrum.

Specialized Multi-Sector Expertise

Defense & Security, Research & Academia, Luxury Brands, Professional Press, and Industrial Operations—serving organizations where AI represents strategic advantage.

67+

Projects Completed

12k+

Creative Minds

150+

Happy Clients

21+

Collaborations

Discrete Excellence

Sophisticated AI Architectures for Select Clients in Demanding Sectors

Who We are

Where Academic Excellence Meets Practical Innovation

ASKELA bridges theoretical AI research and real-world implementation. Since 2005, our team of engineers and PhDs has developed sophisticated AI systems that balance cutting-edge capabilities with the reliability demanded by mission-critical applications. We operate in stealth mode, serving clients where confidentiality is as important as technical performance.

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AI-Powered
Innovation
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Stealth
Operations
  • Twenty years of experience from classical AI through modern neural architectures.
  • Multi-domain expertise: NLP, knowledge engineering, computer vision, autonomous systems.
  • Proven track record in defense, luxury, research, and industrial applications .
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Engagement Methodology

Rigorous Engineering Process from Concept to Deployment

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Discovery & Requirements Analysis

Deep technical assessment of your challenge, operational constraints, and strategic objectives. We evaluate AI feasibility, data infrastructure, security requirements, and integration considerations before proposing architectural approaches.

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System Engineering & Implementation

Rigorous design and development following software engineering best practices. Iterative prototyping, security-first architecture, comprehensive testing, and seamless integration with existing systems while maintaining operational continuity.

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Deployment & Continuous Enhancement

Careful production deployment with monitoring, performance optimization, and ongoing refinement. Long-term partnership ensuring systems evolve with your needs and advances in AI capabilities while maintaining stability.

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AI Expert Team

Our Professionals AI Expert Team.

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Francois R.

Founder and CEO

French Engineering School in Computer Science, MD, PHD, HEC Executive master in innovation

Artificial Intelligence 90%
Knowledge Management70%

35+ Professional Experience

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Jean Z.

Chief Scientific officer

Engineer French École Polytechnique, MD, PHD in Mathematics

Artificial Intelligence 80%
Mathematics80%

6+ Professional Experience

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Victor Z.

CTO

Engineer from the EPFL in Lausanne

Computer Science and AI 80%
Robotics and security Management70%

4+ Professional Experience

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Strategic Sectors

Defense • Industry • Research • Luxury • Press
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Advanced Capabilities

Sophisticated AI Systems Engineered for Demanding Environments

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Knowledge Engineering

Expert systems, ontologies, and semantic technologies capturing organizational intelligence in structured, queryable formats for strategic decision support

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Language Models & NLP

Contemporary LLM architectures fine-tuned for specialized domains with emphasis on accuracy, privacy, and operational security

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Graph Technologies

Semantic graph architectures for connected intelligence, enabling complex queries across organizational knowledge bases

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Intelligent Agents

Multi-agent systems orchestrating complex workflows with autonomous decision-making, adaptive behavior, and collaborative problem-solving capabilities

INDUSTRY
DEFENSE
LUXURY
ACADEMIC
PRESS
$ FINANCE
Testimonial

Hear what our about customer say about our AI agency

"ASKELA's knowledge engineering expertise has fundamentally transformed our editorial intelligence capabilities. Their semantic search and knowledge graph implementation allows our journalists to access decades of archived content with unprecedented precision. What once required hours of manual research now happens in seconds, freeing our teams to focus on investigative depth and editorial excellence rather than information retrieval.”

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IT Director,
International Press Group

"Working with ASKELA felt less like hiring a vendor and more like gaining a strategic R&D partner. Their team understood the unique challenges of managing vast content repositories across multiple publications and languages. The intelligent agent system they developed has become mission-critical for our operations, and their discretion throughout the engagement has been exemplary.”

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Chief Technology Officer
European Media Conglomerate

"ASKELA's authentication and knowledge management solutions have revolutionized our brand protection strategy. From automating product verification to preserving artisanal expertise in intelligent systems, they have allowed our teams to focus more on creative excellence and client relationships rather than counterfeit concerns. Exceptional discretion and technical mastery.”

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Chief Technology Officer
Luxury Conglomerate

"The multi-institutional research collaboration platform ASKELA developed has broken down silos across our consortium. Their agent-based architecture manages complex access controls, enables semantic search across distributed repositories, and maintains rigorous data governance. This has accelerated our collaborative research output while protecting sensitive preliminary findings.”

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Head of Digital Scholarship
International Research Institute