The Context Layer
for Enterprise AI.
GDPR-compliant workforce intelligence that gives your AI agents real-time context about what your teams are actually doing.
Trusted by teams from leading institutions
The Challenge
AI agents and your workforce are decoupled.
Agents exchange information in milliseconds. Your teams sync through daily standups where each person gets two minutes — if they're lucky.
COOs have no visibility into what employees are actually doing in any given moment. Building automations is easy. Knowing what to automate is hard.
15%
Productivity gain measured by TUM AI research
10s
Real-time intent analysis intervals
100%
Local processing — no cloud data transfer
0
Raw screenshots transmitted
The Platform
Locally running vision language models changed everything.
On-Device Processing
Google Gemma 3n and similar models run directly on employee machines. No screenshots leave the device — only semantic embeddings.
Real-Time Context
Workforce activity vectorized minute-by-minute. Your AI agents know what every team is working on — not from standups, but from reality.
Privacy by Design
GDPR compliant from the ground up. Works council approved. Air-gapped deployment capable. Built for European enterprise requirements.
Why Calmar
Traditional solutions fail enterprise requirements.
Employee Monitoring
Screen recording and keystroke logging. Not GDPR compliant. Blocked by works councils. Creates hostile work environment.
Process Mining
Celonis and others mine system logs — but completely miss the human desktop session. No visibility into actual work.
Manual Documentation
Consultants mapping workflows. Months of work. Outdated on delivery. Expensive and non-repeatable.
Calmar
Semantic context extraction via local VLMs. GDPR compliant. Works council friendly. Days to deploy, not months.
Applications
Built for enterprise transformation.
AI Automation Teams
Identify highest-ROI automation opportunities in real-time. Measure actual impact of deployed agents against baseline workflows.
- Continuous automation opportunity detection
- Agent ROI measurement against human baselines
- Integration context for AI pipelines via MCP
Workforce Restructuring
Understand existing processes in days, not months. Surface duplicate work and collaboration bottlenecks automatically.
- Real-time process discovery
- Cross-team collaboration identification
- Workflow efficiency analytics
The Team
Munich-based. Enterprise-focused.
Building the strongest AI engineering team in Munich. Advised and backed by industry experts from Celonis, Palantir, and McKinsey.
Ready to give your AI agents real workforce context?
We're working with select partners in private alpha. Corporate restructuring, PE portfolio ops, AI consultancies.
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