Cogito
The strategy and delivery layer: CTO pilot design, enterprise architecture, sovereign deployment and the operating model that moves agentic AI from demo to measurable internal service.
Cogito Product Stack · AgenticAI · AgentAPI
From internal pilots to governed production platforms.
Start Cogito builds productized agent platforms, workflow automation and enterprise integration layers for teams that need AI close to their data, tools and operating model.
The Creator
Start Cogito is created by Marek to bring agentic AI from demos into governed CTO operations.
After more than 15 years in Swiss telecommunications and enterprise technology, Marek founded Start Cogito to help CTO organizations run AI close to their data, tools and operational reality.
That background shapes the product stack: Cogito for pilot design and delivery, AgenticAI for sovereign agents and workflows, and AgentAPI for secure integration with enterprise systems. The goal is not another chatbot — it is reliable, auditable AI work execution for internal teams.
The Product Stack
Not another chatbot project. A practical stack for CTO teams that need agents, workflows, knowledge, approvals and integrations to work together.
The strategy and delivery layer: CTO pilot design, enterprise architecture, sovereign deployment and the operating model that moves agentic AI from demo to measurable internal service.
A sovereign agent and workflow platform for internal automation: visual Agent Lab, agent teams, document RAG, approvals, traces, policy controls and local/cloud model routing.
The interoperability layer for agents and enterprise systems: secure APIs, tool manifests, MCP/A2A-ready integration, webhooks, standards adapters and auditable machine-to-machine execution.
Turn alarms, logs, runbooks and tickets into an assisted triage workflow: classify severity, retrieve evidence, propose next action, draft incident notes and require human approval before external updates.
Review RFCs, ADRs and solution designs against internal standards. Specialist agents can assess architecture, security, operations and cost, then consolidate findings into a decision-ready memo.
Combine change tickets, service context, incidents and rollback plans to flag missing controls, summarize risk and prepare CAB-ready recommendations with a full audit trail.
Schedule weekly summaries across delivery, incidents, repositories and documents: blockers, decisions, risks, follow-ups and executive-level status for CTO leadership.
A private platform for building, running and governing internal AI agents and workflows.
Agents only become valuable when they can safely reach enterprise systems. AgentAPI provides the protocol and connector layer.
Interfaces
REST · Webhooks · MCP · A2A-ready agent cards · OpenAPI-style tools
Enterprise systems
Jira · GitHub/GitLab · Confluence/SharePoint · ServiceNow · Observability stacks
Governance
Scopes · policy checks · audit logs · tenant-aware execution · secure machine clients
2-4 weeks to select high-value use cases, deploy a pilot workspace, connect one knowledge source and deliver the first measurable internal workflow.
4-6 weeks for NOC, IT or engineering operations: tickets, runbooks, logs, approval flows, incident notes and a dashboard of runs and outcomes.
6-10 weeks for private deployment, governance, connector registry, knowledge collections, workflow templates and production-readiness planning.
Built from 15+ years of Swiss enterprise and telecommunications experience, with the reliability, privacy and operational discipline CTO teams expect.
We design for local-first data handling, controlled model routing, approvals, audit trails and a credible path from pilot to production.
Book a 30-minute CTO pilot workshop to map the first workflow, required data sources and governance boundaries.
Book a CTO Pilot Workshop