Sally AI On Premise
An AI meeting assistant inside your own infrastructure
On request we run Sally entirely inside your infrastructure. Transcription, AI analysis and all meeting data stay in your data centre.
Is this for you?
When on-premise is the right choice
On-premise pays off where an internal policy, a regulator or a client requires that data never leaves your own network.
Public sector
Authorities, municipalities and public institutions with their own data residency rules and their own data centre.
Banks and insurers
Regulated financial services that review outsourcing strictly and have to meet requirements such as DORA.
Healthcare and research
Hospitals, labs and research institutions handling especially sensitive data with their own IT operations.
Law firms and advisors
Client confidentiality and professional secrecy that require records to stay inside the firm.
Industry and critical infrastructure
Engineering and production topics that stay inside your own network segment for secrecy or network reasons.
Enterprises running their own platform
Large organisations with their own platform team, works council and fixed processes for operations and approvals.
Two ways to run Sally on-premise
Not every organisation needs to operate the whole application itself. Often it is only about keeping meeting content inside your own network, which is exactly what shared hosting is for.
Shared hosting
We run Sally, your data sits with you
The application keeps running on our side. Everything that comes out of your meetings sits on your servers and stays inside your network.
- Recordings and audio files
- Full-text transcripts
- Summaries, decisions and tasks
- Operations, updates and support stay with us
Your data centre
ApplicationProcessingDataFull on-premise
Everything runs in your infrastructure
The complete Sally installation sits on your side, including the processing itself.
- Recordings, transcripts and analyses
- Transcription and AI analysis, optionally with your own LLM
- Users, permissions and logs
- Operations follow your policies, updates need your sign-off
Which option fits you is something we work out together.
Book a consultationArchitecture
What runs in your environment
This describes full on-premise: Sally is installed as a self-contained application in your environment. With shared hosting you only provide the storage for recordings and transcripts.
Application
Web interface, user and permission management, single sign-on against your directory.
Transcription
Speech recognition runs on your side, audio and transcripts never leave your network.
AI analysis
Summaries, decisions and tasks, optionally with your own LLM.
Storage
Database and object storage, wired into your own backup concept.
Connectors
Calendars, meeting platforms and target tools, only with the approvals you grant.
What you provide
- A container platform to run the application
- Compute capacity for transcription and AI analysis
- Storage for recordings, transcripts and the database
- A directory service for single sign-on
- Defined network approvals for the integrations you want
TODO PRODUCT: add concrete figures per line (CPU, RAM, GPU, storage per user and month, supported platforms).
How an on-premise project runs
Four steps, from the first call to live operations, with the same contacts throughout. None of it happens without sign-off from your IT team.
Capture requirements
A joint call with your IT and data protection teams: which data, which systems and which rules apply.
Architecture and quote
We propose the setup, the operating model and the effort involved so you have a solid basis for an internal decision.
Installation and pilot
Setup in your environment, connection to directory and calendars, pilot with a manageable team.
Operations and rollout
Handover into regular operations, training for the people in charge, an agreed update and support process.
It all starts with step one.
Book a consultationFrequently asked questions about on-premise
Let's talk about how you want to run it
Bring your IT and data protection people to the first call. We clarify architecture, requirements and effort before you have to decide anything internally.
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