From Chatbots to Agentic Workflows
While 2023 was the year of chatbots, 2025 belongs to "agentic workflows". But who actually builds these systems? The market is divided into three categories, each serving different needs and project maturity levels.
The Three Categories of Multi-Agent Providers
1. Deep Tech Labs
Providers like Silo AI or Merantix train scientific models and map complex logic. They are ideal for highly regulated industries such as healthcare, finance, or manufacturing where off-the-shelf solutions don't meet compliance requirements.
Best for: Enterprises with complex domain logic, strict compliance needs, and budgets for custom model development.
2. Product Builders
Agencies like Netguru or DoubleSlash use frameworks like LangGraph and AutoGen to build functional products (MVPs) quickly. They focus on speed-to-market and iterative development.
Best for: Startups and mid-sized companies looking to validate ideas with working prototypes before scaling.
3. Enterprise Integrators
Large consulting firms like Reply integrate agents securely into existing SAP or Microsoft environments. They understand enterprise architecture, change management, and long-term maintenance.
Best for: Large corporations needing to integrate AI agents into legacy systems with minimal disruption.
How to Choose the Right Partner
Which partner is right depends on your maturity level. Ask yourself:
- Are you experimenting? → Product Builders for fast MVPs
- Do you need custom models? → Deep Tech Labs for specialized logic
- Are you scaling enterprise-wide? → Enterprise Integrators for safe rollouts
Our Curated Directory
In our directory, you'll find a curated list of providers filtered by region, specialization, and proven MAS experience. Each provider has been evaluated based on:
- Framework expertise (LangGraph, AutoGen, CrewAI)
- Orchestration capabilities (error handling, state management)
- Production experience (not just prototypes)
- Team size and technical depth
Regional Focus: DACH Market
The DACH region (Germany, Austria, Switzerland) has a unique ecosystem of AI providers. German engineering culture emphasizes robustness and compliance, making DACH providers particularly strong in:
- GDPR-compliant RAG systems with access control
- On-premise deployments for data-sensitive industries
- Human-in-the-loop architectures for critical decisions
Next Steps
Don't waste time on trial and error. We've vetted providers in DACH and Europe who meet these standards. Browse our directory to find specialists with proven multi-agent system experience.