Extentum.AI runs on a full on-premises architecture and supports local LLM models, so all data is processed exclusively on the customer’s private infrastructure – there is no export to the cloud or sharing with any external parties. This approach eliminates the main legal and operational risks associated with processing data outside the company and ensures full compliance with GDPR, corporate confidentiality, and strict industry regulations (e.g., in the energy sector).
Built-in anonymization modules and centralized operation audit provide the CISO with complete control over AI usage, enabling almost immediate detection of any policy violations or hallucinations.
AI Agents shift their role from “chat-conducting interns” to qualified experts who manage entire end-to-end processes – from data collection and analysis to generating recommendations and triggering subsequent tasks in business systems. AI agents no longer act as loose, isolated units; instead, they cooperate with each other, semi-autonomously executing subsequent process steps using the organization’s permissions, tools, and knowledge base, while ensuring deterministic behavior and repeatable outcomes.
This makes it possible to automate complex, multi-step procedures (e.g., compliance checks, risk assessments, data extraction from tables) with dramatically higher outcome repeatability and full auditability of the AI Agents decision path.
Our platform integrates GenAI into existing tools and organizational infrastructure, offering enterprise-grade APIs and developer-friendly GenAI SDKs. A single, unified GenAI platform replaces numerous fragmented and risky tools, serving as an “agentic command center” – an integrated, coherent work environment. Business Directors and CTOs gain access to comprehensive AI-usage reports, can control costs, and respond in real time to any deviations from policies or hallucinations.
Such centralization, API, GenAI SDK and AI governance enable the company to establish consistent permission models, log all AI agents decisions, and implement guardrails that stop an agent when it exceeds the defined risk threshold. This drastically reduces the risk associated with failed GenAI adoption.
Now not only specialized IT departments can drive the organization’s transformation into AI-enabled operations, but also business teams gain the ability to actively participate in GenAI transformation. Thanks to the Agent and Workflow Builder, the easy-to-use User Portal, and the resulting intuitive drag-and-drop interfaces, ready-made components and templates available on Extentum.AI, anyone can quickly prototype, customize and launch solutions based on LLM models.
Moreover, the full on-premises architecture unlocks innovation in departments that previously had to avoid AI tools – such as Legal, HR, or R&D.
Extentum.AI is dedicated to large enterprises and organizations in regulated sectors that:
If you want to fully leverage the potential of GenAI without compromising on enterprise-grade security, control, and compliance, schedule a meeting with us. We will show you the solutions powered by the Extentum.AI platform.
Extentum Agent Builder enables business teams, process analysts, and even regular employees across the organization to quickly build AI Agents – without having to involve developer teams with deep expertise in LLM/NLP, RAG, vector databases, graph technologies, multi-agent systems, or model training.
It allows users to leverage ready-made business scenarios as well as create their own customized workflows, such as AI Assistants, AI Agents, LLM applications, RAG solutions with contextual search, and multi-agent systems with varying levels of autonomy, all delivering a high degree of deterministic behavior.
All solutions are fully auditable and can be quickly tested and deployed across various levels of the organization. The Extentum.AI platform also provides advanced analytics features to measure the impact of GenAI investments.
Extentum GenAI Security is a system for anonymizing unstructured data, specifically trained by us for the Polish language. It enables enterprises to safely use LLM models, minimizing privacy risks and ensuring compliance with legal regulations.
Advanced algorithms automatically identify sensitive data, such as names, tax identification numbers, or document details, before sending queries. This data is anonymized (replaced with fictitious equivalents) while maintaining correct grammar and syntax.
Once a response is received, the system reinstates the original data, ensuring the user gets information in its natural form while keeping all sensitive details protected. This allows for secure, structured communication with AI systems.
Designed for flow engineering, the system operates efficiently at scale, optimizing conversation processing without performance slowdowns.
AI Solutions built on our platform can be rapidly deployed across various organizational levels using an intuitive web-based conversational interface (GenAI SDK), tailored to business needs.
Additionally, our GenAI SDK enables seamless integration with both internal enterprise applications and client-facing systems (native web, Android, iOS), transforming them into AI-powered applications. This allows end users to interact with AI without leaving their existing interfaces.
Our platform helps enterprises leverage GenAI efficiently without requiring time-consuming modifications to existing systems.
Extentum Model Hub is an API that provides easy access to a wide range of AI models, allowing developers to select the most suitable model for a specific task without the need to manage complex integration processes.
The tool enables dynamic model switching based on application needs and supports seamless integration with both local models and those provided by external vendors, ensuring maximum flexibility in GenAI project execution.
By simplifying integration processes, companies can respond faster to market changes, optimize resource usage, and reduce AI adoption costs, maximizing their return on investment.
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