- Where is our data stored?
- On your tenant’s dedicated infrastructure: in Managed Cloud, on an OVHcloud instance in an EEA region; in the Self-hosted and On-premise deployment models, in your environment. The tenant has its own database and storage. The shared GRID layer has no database and does not keep task content; the browser does not connect to GRID.
- How is Obsigen different from an AI chat on an employee’s private account?
- A chat on a private account sits outside the company’s control: IT does not know which documents went into it, and the company has no data processing agreement with the provider. Obsigen gives the team similar convenience inside the company environment - data stored in a tenant dedicated to your organization, conversations private by default, and the model receives only what the task requires.
- Do you meet the requirements of the GDPR and the AI Act?
- GDPR compliance of the processing is assessed by the data controller, that is your company; we act as a processor under a data processing agreement. AI Act obligations are split between the provider of the AI system - for Obsigen, Visera - and the company using the system; we agree the scope on each side before deployment. For your assessment we provide: an architecture with data on dedicated infrastructure and a stateless GRID, a CVD policy and a 24 h procedure, and documents - the DPA, the subprocessor register, the data flow map and the architecture description.
- Is code execution safe?
- Code from a task runs in an isolated environment, without administrative privileges and with memory and time limits. The internet is closed to it, except for selected package registries. Every uploaded file goes through a security check, and a file that cannot be checked is rejected. We share the detailed description with security teams under NDA; vulnerabilities are reported as described in security.txt.
- What is sent to the search provider?
- Only the search query - to a search provider in the EEA, with zero retention written into the contract. No conversation content and no files.
- Do you train models on our data?
- No. Obsigen does not train models on your data. Your data - including memory, the company glossary and the document index (RAG) - is stored only in your tenant, on infrastructure dedicated to your company. Memory and the glossary are built from what users say - every entry is shown as “Remembered · Undo”. Language model and search providers have zero retention written into their data processing agreements: task content is neither stored by them nor used for training.
- How can we see Obsigen in action?
- In an online demo (45 minutes): we show Obsigen on an example you bring - with no confidential data. Then a one-page quote and deployment on dedicated infrastructure; the usage of every task is visible in the usage panel.
- Is an on-premise deployment possible?
- Yes, on request. We deploy Obsigen in three deployment models: Managed Cloud (dedicated OVHcloud infrastructure), Self-hosted (your environment) and On-premise - with GRID and the models in your data center, without connections to external model providers. We prepare an on-premise deployment individually: hardware, model selection and throughput are agreed with you.
- Is Obsigen an AI model?
- No. Obsigen is an agent that uses open-weight models: it selects a model for the task based on measurements, and in Titan mode a second model checks the result. The system card describes which models are used, how they are selected and what the limitations are.
- Does the orchestrator learn from our data?
- No. The model selection table is built from our tests, not from your tasks.