Build, train and operate generative AI agents on your company's data to automate operations, speed up decisions and turn knowledge into productivity.
Adopting generative AI in a company always runs into the same questions: where does my data go? How do we avoid wrong answers? How do we prevent misuse? EvaGPT was built to answer these from the architecture up: dedicated instances per client, automatic anonymization of personal data, anti prompt-hacking filters and the option to run 100% on-premises, with full data sovereignty.
With RAG (Retrieval-Augmented Generation), agents answer based on your knowledge bases and systems in real time, citing the right information instead of inventing it. And with Function Calling, they go beyond chatting to executing: opening tickets, querying systems, updating records and automating complete workflows.
EvaGPT includes a studio to create and train agents, a library of ready-made agents by area (legal, sales, HR, service) and centralized management of knowledge, skills and integrations. Intelliway supports the full journey, from the first use case to operation at scale, with governance and observability.
No. Each client has a dedicated instance, data does not mix with that of other companies and is not used to train external models. There is also an on-premises option, with no traffic to external clouds.
The platform is multi-model: it supports GPT, Gemini, Claude and open-source models, letting you pick the best model (or combination) for each use case and cost requirement.
With RAG, answers are anchored in your knowledge bases and real-time data. Guardrails and behavior filters keep the agent within the scope defined by the company.
They can take actions: via Function Calling, agents integrate with backend systems to open tickets, query data, update records and automate complete processes.
WhatsApp, Microsoft Teams, Slack, Telegram, web portals and APIs, with the same agent operating across multiple channels.
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