Turn your vision into an actionable roadmap
Build and scale solutions from idea to impact
Embed Faktion’s AI experts into your team
Augment expertise and workflows with agents
Drive smarter decisions and business growth
Streamline manufacturing and maintenance
Build armies of domain experts, 24/7 available.
Measure real progress & achieve production quality.
Make Knowledge your competitive Advantage.
Our Evaluation-Driven Development approach combines deep technical expertise, structured processes, and powerful internal tools to continuously measure, improve, and align AI performance with real-world goals.
How Faktion and SD Worx built a production-grade regulatory monitoring platform that scans legal changes across five countries, cutting manual review and compliance risk.
AI-powered multi-agent system boosts accuracy and speeds up onboarding company-wide
Why enterprise AI breaks without a RAG-first foundation. Build trustworthy retrieval, governance, and traceability before scaling agents and workflows.
Faktion and Argenta announce a strategic partnership to build customer-centric banking with responsible AI agents, evaluation-driven development, and embedded AI capabilities.
How Faktion and Crius use multimodal AI and evaluation-driven development to turn raw author manuscripts into structured, production-ready XML.
Learn how Faktion designs LLM-as-a-Judge evaluator agents that scale expert validation, align human and agent judgement, and build trustworthy AI.
Discover the common failure modes of RAG in enterprises and learn practical fixes to move beyond prototypes into production-ready AI systems.
Faktion and Crius Group partner to enhance the CORE platform with AI, delivering automated publishing, accessibility, translation, and more.
Agentic knowledge Management Assistants help organisations systematically capture, structure, and access knowledge, transforming it from an operational bottleneck into a strategic competitive advantage.
Faktion’s Six-Step Framework turns agent ideas into scalable, orchestrated AI workflows. Ask ChatGPT
Building a foundation where your AI learns from your data, adapts to your needs, and performs consistently in the real world.
Episode 3: Completes the RAG validation framework with human and LLM-based evaluation.
Episode 2: Four methods for building RAG ground truth datasets, from manual to synthetic.
Episode 1: Lays the foundation for scalable, reliable RAG output validation.
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