Xtensyon Labs
Pushing the boundaries of Applied AI.
Our R&D division focuses on bridging the gap between academic breakthroughs and industrial utility.
Research Focus Areas
We invest heavily in exploring emerging architectures and techniques to ensure our clients have access to state-of-the-art capabilities.
Efficient Large Language Models
Techniques for quantization, pruning, and low-rank adaptation to run powerful models on cost-effective hardware.
Multimodal Systems
Integrating text, vision, and audio for holistic understanding of unstructured enterprise data.
Neuro-symbolic AI
Combining neural networks with symbolic reasoning for more explainable and reliable decision making.
Latest Publications
Our team contributes to the broader AI community through white papers and technical case studies.
Case Study: Deploying LLMs On-Prem and in Private Cloud: Cost, Compliance, and Reliability Considerations
February 2026 • Xtensyon Labs, Platform Engineering
Technical Brief: Enterprise Evaluations for RAG: Scorecards, Golden Sets, and Release Gates
February 2026 • Xtensyon Labs, Applied AI Team
White Paper: Production RAG Governance: A Practical Playbook for Enterprises
January 2026 • Xtensyon Labs
Technical Brief: RAG Latency Budgeting: Hitting Response Targets Without Cutting Corners
December 2025 • Xtensyon Labs
White Paper: Identity Sync for Permission-Aware Retrieval: Getting ACLs Right in Practice
December 2025 • Xtensyon Labs
Ready to scale your intelligence?
Schedule a consultation to discuss your AI strategy and how Xtensyon can help you achieve measurable outcomes.