AI. Engineered for Business

Complete Advisory-Engineering-Training Solutions

We engineer AI systems that work with complementary technologies to solve complex business problems through integrated advisory, custom implementation, and hands-on team training

25+ years of C-suite experience meets cutting-edge multi-agent system development. We don't just consult on AI — we build production-ready solutions that combine multiple technologies for measurable business impact. Our integrated approach ensures your team gains both the technology and the expertise to succeed.

Our Services

  • Advisory

    Assess technology combinations and implementation readiness for your business. We evaluate existing systems, identify integration opportunities, and provide detailed analysis of organizational capabilities including data infrastructure, team skills, and process maturity.

  • Engineering

    Develop custom software and multi-agent systems that integrate with your existing technology infrastructure. Our engineering services include system architecture, implementation, and optimization for manufacturing, financial services, and professional service applications.

  • Training

    Develop internal AI and technology expertise through structured training programs. We deliver 'Exponential Update' courses covering current AI developments, with specialized versions for LegalTech, FinTech, software engineering, and cybersecurity, plus project-specific training tailored to your implementation needs.

On to the Services

Case Studies

  • Tax Advisory Assistant (Swiss-Jurisdiction)

    [Customer: Zug-based tax advisory boutique]

    The solution combines a structured workflow with a multi-agent system that uses natural language understanding to review and analyse large volumes of Swiss legal texts, regulations, court decisions, and expert commentary. It supports tax advisors in efficiently assessing cases, evaluating specific circumstances, and identifying optimisation opportunities within the complex Swiss federal tax system, which includes twelve different tax types.

  • Enterprise-Grade MAS Implementation Stack

    [Customer: Frankfurt-based FinTech advisory company]

    This Python-based project implements a production-ready multi-agent architecture using the crew.ai open-source framework. The system operates through Docker Swarm-orchestrated containers, enabling reliable enterprise deployment and scaling.

    The technical stack includes MySQL for persistent storage, Elasticsearch for vector data management, and Redis for in-memory messaging. Data operations use Alembic for migrations, Pydantic for validation, and SQLAlchemy for database management.

    Comprehensive monitoring is provided through Prometheus (metrics), Jaeger (tracing), and Grafana (visualization), enabling real-time performance oversight. Inter-service communication uses gRPC with Protocol Buffers for efficient, type-safe data exchange between distributed components.

    This architecture delivers enterprise-grade reliability while supporting advanced AI capabilities such as semantic search and knowledge retrieval across scalable infrastructure.

  • Automated Content Genration

    [Customer: Zürich-based marketing agency]

    This system generates text content based on specified keywords and defined word count parameters. The platform produces two distinct content formats from the same source material: LinkedIn articles for professional publication and video scripts for multimedia content creation.

    The video production workflow integrates Make.com automation platform with Synthesia's AI video generation technology. This combination enables the creation of narrated videos featuring virtual avatars and digital representations of company spokespersons, supporting multi-language content distribution for international business communications.

    The dual-output approach allows organizations to maintain consistent messaging across written and video formats while reducing manual content creation effort. The system adapts technical information for different audience preferences and consumption patterns, supporting both text-based professional networking and visual communication strategies.

  • Automated Defect-Analysis for Property Maintenance

    [Customer: A Zürich-based leading facility management group]

    The building services engineering division of a leading facility management company uses this system to efficiently review and assess images captured by maintenance technicians during routine inspections. The system enables rapid triage of potential defects and supports Visual Question Answering (VQA), allowing users to pose specific questions about each image and its analysis. The results support technician deployment planning and contribute to predictive maintenance processes, including parts procurement and cost forecasting.

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