Product
A private LLM with your organisation's memory, hosted where your data can't leave.
The problem
The best AI assistants need your data in their cloud. Regulated teams can't do that.
What it does
A centralised, locally-hosted language model with organisational memory - your knowledge, your control, full audit.
Why it matters
The purest expression of the FalcRise thesis. Best first customer: a design partner.
Proof
OrgBrain runs on the same private-deployment principles as our other systems: on your infrastructure, under your access controls, with nothing sent to a third-party model provider. We're building its track record now, with design partners.
FAQ
A private LLM is a language model that runs inside an organisation's own infrastructure or cloud tenant, rather than sending prompts and data to a third-party API - built for teams where the data itself can't leave the building.
It means the model, the data it's trained or grounded on, and the logs of every query stay inside infrastructure your organisation controls, with your own access permissions and audit trail, not a vendor's.
It's a model connected to your organisation's own knowledge - documents, policies, past decisions - so it can answer questions about your business specifically, instead of only general knowledge from public training data.
OrgBrain is deployed on-premise or inside your own cloud tenant, so no prompt, document, or output has to leave your environment - the starting requirement for teams working under data sovereignty rules, not an add-on.
OrgBrain is built for regulated organisations that need a private, auditable assistant and are willing to work closely with us as an early design partner while the product matures.
A private LLM with your organisation's memory, hosted where your data can't leave.
