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Notch (Notch Software Solutions)

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(1)5.0/5

Notch is the product engineering partner for AI-native software for mid-to-large enterprises. www.wearenotch.com Based in Central Europe, we build agentic solutions, custom AI models, and software-based digital products with AI embedded across every team and every stage of the delivery process. Our 170+ AI engineers, analysts, designers, data experts, and project managers understand your business deeply enough to build for it, not just around it. Since 2014, we've delivered 300+ complex projects for 50+ clients, with an average customer relationship of five years. 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. What Notch does Five capability areas. The same senior engineering teams deliver all five under one framework. 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. 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.

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