From Idea to Production AI Agent.20x Faster.

Europe's Agentic AI Infrastructure & Development Platform for Banking and Consumers.

Close the gap between your demo and production, so your team ships enterprise-grade AI agents in days rather than months.

Swiss-hostedGDPR & nDSGEU AI Act readyDORA compliantNo data used for training
Swisper Studio dashboard showing agent tracing and configuration

The Age of Agents Has Begun

Agents are becoming the new front end — replacing apps, websites, and human-driven clicks. $50B+ agentic AI market by 2030. $40B+ conversational AI market by 2030. 100M+ AI assistant users in Europe by 2035.

The question isn't whether your organization will adopt agentic AI — it's whether you'll be ready.

Jensen Huang

"The age of AI Agentics is here. AI agents are the new digital workforce."

Jensen Huang,

CEO, NVIDIA (CES 2025)

Iceberg illustrating the hidden engineering layers of production AI
  • 00 - User Interface
  • 01 - Prompt Engineering
  • 02 - Agent Design & Architecture
  • 03 - Tool & API Integration
  • 04 - Memory & Context
  • 05 - Multi-Agent Orchestration
  • 06 - Tracing & Debugging
  • 07 - Quality & Testing
  • 08 - Security & Privacy
  • 09 - Deployment
  • 10 - Governance

The Gap Between a Demo and Production

Everyone can build a demo in a weekend. But production AI agents require distinct engineering layers that most teams discover the hard way. The hard work is invisible until production. Projects stall, budgets slip, timelines break.

The Platform: One Lifecycle, Five Stages

1. Control

Full lifecycle observability from a single control tower. Execution graphs, real-time dashboards, per-agent cost tracking, and end-to-end tracing across every stage.

2. Design

PM Agent and Architect Agent work with full codebase access (via Prism) and your project knowledge base. Visions are grounded in real user, market, and technical analysis — not assumptions. Every artifact is quality-gated and PDLC-contract-compliant.

3. Build

Planning Agent maximizes parallelism; contracts frozen to prevent merge conflicts. Dev Lead Agent orchestrates coding agents with precise briefs — exact files, APIs, and rules per task. Right model selected per task. Every quality gate enforced.

4. Optimize

Swisper Lab: prompt builder, optimizer, and scenario library. LLM-as-a-Judge evaluation. Side-by-side cost, performance, and quality comparison across models — so you ship the best option, not the first one.

5. Test

Swisper Dumbo: glassbox testing as easy as prompting a chatbot. E2E, UAT, and regression coverage with automatic root-cause analysis. No test scripts to maintain.

6. Deploy

Swisper Launch: versioned configurations, environment management, canary releases, and instant rollback. Ship with confidence, roll back in seconds.

Platform lifecycle orbital diagram showing six stages

Deeply integrated agents that

Act

Plan, coordinate, execute real-world actions. Book trips, process orders, manage workflows.

Feel

Understand tone, emotion, nuance across voice and text. Adaptive personality, genuine empathy.

Remember

Build long-term relationships through cross-session memory. Your clients interact as with a personal advisor.

Reach Out

Employees receive briefings before opening their inbox. Disruptions rebooked before anyone notices.

Decades of Advisory Expertise, Now Agentic

Built by a team that designed advisory and investment platforms for global wealth manager and private banks. Swisper packages this domain expertise into AI agents that prepare your relationship managers for every client conversation, explain portfolio performance in your client's language, and turn CIO research into compliant, client-specific recommendations.

"Show me the weekly summary for UBS"

"Generate a portfolio performance narrative for Mr. Müller"

"What CIO research is relevant for my client meeting tomorrow?"

RM Copilot
Portfolio Narrator
Investment Advisor
0People vs 3,500+ at OpenAI, Anthropic, Google, Microsoft
0xMonths become Days
$0KInstead of $200K+
0%Spec traceability instead of 60%
“2025 could be the year AI agents materially change the output of companies”

Sam Altman, CEO, OpenAI (January 2025),

Photo: TechCrunch, via Wikimedia Commons (CC BY 2.0)