CoreAI Blog
CoreAI updates and articles about AI
Language support in CoreAI
CoreAI is multilingual on two levels: customers can ask and get answers in twelve languages even if the knowledge base only exists in one, and administrators work in a panel in Norwegian Bokmål, Nynorsk, English or German. You avoid translating and maintaining the content in several versions – and language is no longer a barrier.
Even better answers behind login
Behind login, CoreAI fetches from internal sources you otherwise can't reach, and shows only what each individual user is actually meant to see – as an employee, member or customer. Same interface, but deeper, more precise and more personal answers.
Automating business-critical processes – AI as part of the system
CoreAI automates business-critical processes by plugging directly into the systems you already use – with an API, MCP, ready-made integrations and an automation engine that keeps the knowledge base up to date around the clock, not as yet another standalone tool.
A chat that fetches context itself gives better answers
CoreAI's agentic tool-calling lets the AI decide for itself when it needs more context and how to fetch it – it retrieves again with more precise phrasing until the answer is good enough, and handles complex questions with several criteria at once.
Language models on European infrastructure: coreAI now runs AI in the EU
coreAI now offers language models that run on European hardware and infrastructure, following a deal with OpenRouter. You choose per knowledge base whether a model runs in the EU where available, so requests are processed within the EU/EEA without data being stored or used for training.
From AI chat to agentic platform: coreAI reshapes the workflow
coreAI has moved from AI chat to agentic platform: the assistant pulls fresh real-time data from the business systems via MCP and runs tasks on the user's behalf. Profixio looks up sports data in real time, and a car workshop automates 90% of the customer journey.