Copenhagen
Landemærket 10, 6th floor1119 Copenhagen
Denmark+45 33 36 44 44hello@kruso.dk
Move faster, smarter, and with confidence. Kruso’s Agentic Platform enables you to run multi-agent apps, automate workflows, and power the cloud-native stack behind them.
With Kruso’s Agentic Platform, your teams can:
• Initiate and Accelerate delivery of AI-powered solutions
• Reduce complexity in operations
• Focus on innovation instead of infrastructure
An agentic orchestration platform that ships productionready applications and the Kubernetesbased infrastructure to run them. Compose agents, APIs, and automations with observability, security, and lifecycle management built in.
Just as microservices transformed software by breaking applications into smaller, reusable components, micro-agents aka ”subagents” bring the same principle to AI. Each micro-agent is a pre-built, specialized unit designed to perform a narrow role - from generating insights to automating handoffs. By composing these building blocks, we can quickly orchestrate full agentic workflows tailored to your organization. The result: production-grade AI agents shipped in weeks, not months.
🚀 Orchestrated Apps
Get up and running fast with ready-to-deploy applications. Launch chat, voice, developer, and content pipelines right out of the box - no heavy setup required.
🤖 Agent Workflows
Coordinate multi-agent flows with ease. From planning and execution to smooth handoffs, our platform ensures agents work together like a well-tuned team.
☁️ Cloud-Native by Default
Scale with confidence on a Kubernetes-ready foundation. Containerized services, built-in packaging, and service mesh support come standard.
📊 Deep Observability
Track everything that matters. Traces, metrics, and logs give you full visibility across every request and model call.
🔒 Enterprise Controls
Security built in from the ground up. Manage secrets, apply least-privilege defaults, and benefit from audit-ready instrumentation.
🔧 Extensible by Design
Adapt and grow without limits. Extend with Model Context Protocol (MCP), webhooks, and modular microservices — all designed for flexibility.
Production-ready applications across chat, development, content, and automation
💬Agentic Chat Experience
FastAPI backend + Streamlit UI with workflows like Solution Architect, triage, and humanintheloop.
🎤 Realtime Voice Agent
Streamlit + OpenAI Realtime and NodeRED flows for voicefirst interactions.
👩💻 Open SWE Agent
LangGraphbased planner/programmer/reviewer integrated with GitHub for autonomous code changes and CIfriendly outputs.
🔌 MCP Servers
GitHub MCP and Claude Code MCP for tool access from agent runtimes; Mermaid MCP for diagram generation.
📝 Feed Agent (React)
AIassisted content creation with image analysis, bulk ops, and n8n integration.
⚡ Automation Bridges
n8n (with Python runtime and OTEL tracing) and NodeRED for eventdriven integrations.
📄 MarkdowntoPDF Service
API to render Markdown to styled PDFs with custom CSS and headers/footers.
📱 Telegram Mini App
Meet users where they work with integrated Telegram components.
💼 Slack Home App
Slack blocks and home app components for workplace integration.
Behind every agentic workflow is a robust production-grade foundation. Our platform architecture is purpose-built to make AI applications reliable, scalable, and enterprise-ready - from orchestrating complex agent runtimes to packaging, securing, extending, and monitoring them with ease. Each layer of the stack ensures that your AI solutions don’t just work in theory, but perform consistently in real-world environments.
The foundation for reliable, governed, and scalable AI applications:
🛡️ Reliability at Scale
Manage multistep, multiagent tasks with retries, routing, and state.
📋 Governance
Standardize prompts, tools, and data access across teams and apps.
🔍 Traceability
Full request lineage and token/cost visibility for optimization and audits.
🚀 Portability
Swap models, upgrade components, and move environments without rewrites.
Complete visibility into your AI applications and infrastructure
🔗 EndtoEnd Tracing
Instrumented LLM/API calls with request metadata and token usage.
📋 Logs & Correlation
Structured logs tied to traces for fast incident response.
📈 Metrics & Dashboards
Service, model, and workflow KPIs in Prometheus/Grafana.
📦 OutoftheBox Stack
Jaeger/Tempo, Prometheus, Grafana, Kiali; OpenTelemetry wiring included.
Enterprise-grade security and audit-ready compliance
🛡️ Container Hardening
Nonroot images, scoped permissions, and network boundaries.
📊 Auditability
Consistent logs/traces for change tracking and regulatory evidence.
🔐 Secrets & Access
Environmentbased secrets, encryption support, and RBACaligned policies.
🏗️ Isolation Options
Service mesh policies and optional sandboxing for codeexecution tools.
Built for teams across product, platform, operations, and documentation
🎯 Product Teams
Ship chat/voice assistants and content tools with measurable reliability.
🔄 Ops/Automation
Connect CRMs, ticketing, and data sources with n8n/NodeRED pipelines.
⚡Platform/DevEx
Offer a governed agent runtime with GitHub workflows and MCP tools.
📄 Documentation & Reporting
Autogenerate structured docs and PDFs from AI outputs.
The DORA Agent is an AI-powered assistant that automates architecture analysis, compliance workflows, and reporting. Instead of teams spending countless hours on manual documentation, the agent ingests system changes, assesses their impact, and generates audit-ready, regulator-compliant outputs, all while keeping humans in the loop for decisions.