Notch (Notch Software Solutions)

Notch is a European AI-native product engineering company for mid-to-large enterprises, formerly Agency04. We build AI models, agents, and enterprise-grade custom software products.

What do we do?

• AI-native software development. New software products built from scratch, and legacy application modernization. Senior engineers direct coding agents across the full lifecycle, from discovery to deployment and beyond.
• Agentic systems. Autonomous agents built with architecture, testing discipline, and human oversight in place from the start. Entry points include an AI proof of concept and an AI minimum viable product.
• Custom AI models. Purpose-trained models scoped to a specific business case. They outperform general-purpose models on accuracy, latency, data sovereignty, and running cost.
• AI strategy consulting. The work before the build, turned into build-ready blueprints. Delivered as an AI Discovery Workshop or an AI Audit.
• Agentic Experience Design. Designing how people work with agents across screen, chat, and voice. Agent behavior is made transparent, controllable, and safe to delegate to.

Who do we work with?

Enterprise and mid-market companies with business-critical systems and a real engineering standard to meet. Typical clients have in-house technology teams and need depth those teams don't have on staff.

Problems Notch is hired to solve

• "We know AI belongs in this process. We do not know what changes around it." An AI Discovery Workshop or AI Audit maps the process, the data behind it, and the operating model that has to change with it. Output is a build-ready blueprint.
• "An internal team built a working AI prototype. Now it has to run in production." A code and architecture review, a security and data isolation assessment, an evaluation baseline, and a decision on what to keep and what to rebuild. Then the production build, with the same team staying on.
• "Our core system is old, and every change takes a quarter." Agents map the codebase in days, not months. Then surgical refactoring with tests written alongside, so the system keeps running while it changes.
• "We want agents doing real work, with control over what they touch." Agentic systems and custom models, delivered inside a governed environment with policy checks, observability, and human escalation points.

Why should you trust us?

• 300+ projects
• 50+ clients with an average client relationship of 5 years
• 170+ AI-native experts
• 80 - customer NPS
• Proven results: 75% faster CV generation, 30x more efficient document creation, 50% faster onboarding