Request a demo — measurable results in 4-5 weeks
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Frequently asked questions
What people ask most before requesting a demo. Anything else, you can ask our engineers directly in the first call.
Arketic builds an AI layer that works safely with your organization's data: assistants answer employee and customer questions from your corporate knowledge base with cited sources, agents plan and execute multi-step work, and workflows automate repetitive processes. Routine work sees time and cost savings of up to 70% — and the value is proven in numbers right at the start, with a 4-5 week ROI-based PoC.
The platform can run fully on-premise, in a private cloud or hybrid; your sensitive data never leaves your company's boundaries. Self-hosted models run on your own hardware (e.g. NVIDIA H200 GPU infrastructure), and none of your data is ever used to train external models. Role-based access, department isolation and end-to-end audit logs help you meet KVKK and GDPR requirements.
Yes. It ships with 70+ ready-made enterprise roles — from HR and finance to sales, IT and legal — each deployable in minutes with its own knowledge-base template and permission profile. Departments run isolated from one another: every team accesses only the data within its own permission scope. You can start from a ready-made role and make it fully your own over time.
Generic chat tools work with general knowledge; Arketic works with your data and your permission model. Assistants provide decision support: they answer questions from your knowledge base, citing their sources. Agents execute work end to end: they plan, ask for your approval where needed, and carry out actions in your connected systems. Every step is logged — control always stays with you.
It does. Most organizations start with a pilot in a single department, then expand company-wide by adding new assistants, agents and workflows on the same platform. There is no limit on parallel assistants, and multi-department isolation is built into the architecture from day one. Running on your own servers also keeps costs predictable: no token bills that multiply as users grow.