Swisper is a European‑hosted AI infrastructure platform that manages the full lifecycle of enterprise AI agents, from design and prompt engineering to testing, deployment, and governance. It provides a control‑tower dashboard with real‑time observability, cost tracking, and traceability, while AI‑assisted modules handle architecture, code generation, multi‑agent orchestration, and security to ensure GDPR, DORA, and EU AI Act compliance. The solution enables banks and consumer‑facing enterprises in Europe to move AI prototypes into production‑grade agents in days rather than months.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises building AI agents often create functional demos quickly, but lack the engineering discipline and infrastructure to move those agents into reliable, production‑grade deployments. The missing layers—governance, observability, cost control, testing, and secure deployment—cause projects to stall, budgets to overrun, and AI‑generated code to introduce instability.
Solution
Swisper provides a European‑hosted, GDPR‑ and DORA‑compliant platform that manages the full lifecycle of AI agents from design through deployment. The platform offers a centralized control tower for real‑time observability, cost tracking, and end‑to‑end tracing, while AI‑assisted agents handle prompt engineering, architecture design, code generation, testing, and release management. By integrating quality gates, memory/context handling, multi‑agent orchestration, and security/privacy controls, Swisper turns rapid AI prototypes into enterprise‑ready agents that can be shipped in days rather than months. The solution is delivered from Swiss data centers, ensuring compliance with EU AI regulations and keeping customer data private.
Target Audience
Primary customers are banks, financial institutions, and consumer‑facing enterprises in Europe that need to develop, govern, and operate AI agents at scale while maintaining regulatory compliance.
Features
- Control tower with execution graphs, dashboards, per‑agent cost monitoring, and full traceability across the agent lifecycle
- AI‑driven Design agents (PM and Architect) that access the codebase via Prism and align development with user, market, and technical analysis
- Build stage agents that orchestrate parallel coding tasks, enforce contract‑based merge protection, and select optimal LLM models per task
- Optimize Lab offering prompt building, model comparison, and LLM‑as‑a‑Judge evaluation for cost, performance, and quality
- Dumbo testing suite that generates glass‑box E2E, UAT, and regression tests from prompts with automatic root‑cause analysis
- Launch module for versioned configurations, environment management, canary releases, and instant rollback
- Built‑in security, privacy, and governance layers meeting GDPR, nDSG, and EU AI Act requirements