Let your data work for you
What we do
Our products turn data into intelligent systems built and deployed within Europe, designed to uphold data sovereignty. We provide AI solutions that streamline workflows and processes while maintaining the highest standard of governance and privacy. Trusted by both public institutions and private enterprises, we empower organizations to transform how they work with data.
Trusted by
Titus
The AI platform that orchestrates the agents and assistants in your organization.
Transform your organization’s data and systems by making them available to Titus. Query and execute intelligent actions via the customizable assistants and agents in Titus and interact with your new digital colleagues.
Titus own agentic framework and agnostic setup opens up for endless possibilities, fully custom made workflows and operations via the cloud of your preference.
Aiida
Transform unstructured documents and files into structured data
Aiida’s document and file AI extracts the exact information you need from virtually any format, including text, scans, and images, and then structures it with high precision. In seconds, it turns unstructured content into actionable data that enables advanced search, querying, and automation across your organization.
Latest Blogs
Agentic Systems • May 21, 2025
Graphs for Agentic Systems: Why We Use Them
As agentic systems become more capable, how we structure their workflows matters as much as the models themselves. One pattern we rely on at Softrobot is the graph, where each node reflects a concrete action or decision in the agent’s process. This isn’t off-the-shelf orchestration. It’s an in-house system, purpose-built around the idea of representing the agent’s evolving context as it runs. Here’s why that structure works, and how we apply it to get the most of what matters.
LLMs • May 8, 2025
Design Patterns for LLM Applications
The ever-increasing capabilities of Large Language Models (LLMs) have brought forth a new type of AI applications, making it possible to tackle problems in a human-like manner – often while using little to no training data (there's no getting around understanding the domain though 😉). While keeping up with the constant flood of new LLM application techniques can make any developer tired, certain patterns have proven consistently useful.