Vijay Betigiri

Enterprise AI & Cloud Architect

Knowledge Hub

Practical directories for market tracking, tooling decisions, and architecture references.

This section is intended as a working knowledge layer rather than a static resource dump. The focus is on practical categorization, useful signals, and decision support for people building or evaluating AI systems.

AI Companies in Switzerland

A practical shortlist of companies and ecosystems worth tracking in the Swiss AI market.

  • Enterprise AI Startups

    Founders building applied AI products for finance, operations, and knowledge work in Switzerland.

  • Applied AI Consultancies

    Teams focused on AI implementation, MLOps, and enterprise transformation programs.

  • AI Product Companies

    Swiss product-led companies turning domain expertise into repeatable AI services and platforms.

AI Tools Landscape

Tooling categories used to reason about platform design rather than chase vendor hype.

  • LLM Platforms

    Model gateways, routing layers, evaluation stacks, and prompt/version control systems.

  • Agent Frameworks

    Runtimes for tool use, memory management, orchestration, and safety boundaries.

  • MLOps Tooling

    Pipelines for data quality, deployment governance, observability, and cost control.

Cloud Architecture Resources

Resources for building cloud systems that survive real operational load and governance review.

  • Reference Blueprints

    Patterns for platform boundaries, integration layers, and service decomposition.

  • Reliability Patterns

    Operational approaches for graceful degradation, event recovery, and production resilience.

  • Security Baselines

    Identity, secrets, network controls, and traceability for enterprise-grade systems.

AI Research Organizations

Research sources that matter when translating emerging work into deployable systems.

  • University Labs

    Academic groups working on language models, robotics, optimization, and human-AI interaction.

  • Independent Institutes

    Applied research organizations focused on industrial adoption and trustworthy AI practices.

  • Industry Research Teams

    Product-adjacent teams shaping agentic workflows, reasoning systems, and platform primitives.