Product
One workspace replaces the patchwork of chat apps, task boards, file shares and meeting tools. Every conversation, decision and document lands in a single data model, under one permission graph and one tamper-evident audit trail, and becomes institutional memory your teams can question in plain language.
Every part serves one purpose: to gather the value and keep it with the organisation.
Examples
A logistics companySix months after the operations manager moved on, her successor asks Tura.
Why did we change the cold-chain supplier for the Ankara warehouse?
Memory
“Two audits in the first quarter found temperature breaches in deliveries. The operations review agreed to move to the backup supplier from 1 May.”
- MeetingOperations review · 11 April
- VaultQ1 audit report
- TasksSupplier switch-over
A retail bankA new compliance officer prepares for an audit and asks Tura.
What did we report to the regulator about the card-fraud incident in March?
Memory
“The incident report of 14 March: 212 cards affected, limits reset within four hours, root cause a third-party terminal update. Submitted on 15 March.”
- VaultIncident report · 14 March
- MeetingCrisis call · 14 March
- Chat#fraud-ops
A construction groupA site manager joins a project halfway through and asks Tura.
Which subcontractor built the façade on the Bodrum project, and were there any defects?
Memory
“The façade was completed in 2025 by the subcontractor on contract F-12. Two water-leak defects were reported at handover and fixed under warranty in October.”
- Project managementBodrum residences
- VaultWarranty log
- MeetingHandover review
A broadcasterThe new head of product asks Tura before the next season.
Why did we pause the 4K channel package in the eastern region?
Memory
“Bandwidth tests in three cities showed buffering above target. The product board agreed to relaunch after the CDN upgrade.”
- MeetingProduct board · 2 June
- NotesCDN test results
- TasksCDN upgrade
A manufacturerA quality engineer on her first week asks Tura.
What did we change on line 3 after last year’s quality recall?
Memory
“A second torque check was added at station 7 and the bolt supplier was replaced. The recall rate fell from 1.2% to 0.3%.”
- Notes8D report
- TasksStation 7 change
- WhiteboardLine 3 layout
A hospitalA radiology team lead covering a night shift asks Tura.
What is our agreed procedure when the MRI booking system is down?
Memory
“Bookings move to the shared radiology calendar and the front desk calls affected patients. Agreed in the November incident review.”
- MeetingIncident review · November
- NotesDowntime procedure
- CalendarRadiology fallback
Answered only from what the person asking is allowed to open. Illustrative examples.
Value
Eleven reasons to choose Tura Workspaces
Each one rests on a mechanism in the product, not on a promise.
Institutional memory
Expertise stays when employees leave.
Artificial intelligence
AI productivity without data exposure.
Onboarding
New hires get up to speed by asking, not digging.
Accountability
Every decision traceable to its reasoning.
Data sovereignty
Your data never crosses a border.
Security
Your keys, your servers, your rules.
Compliance
Audit-ready by default, not by project.
Management visibility
Leaders see status without reading private messages.
Continuity
Operations continue through any outside outage.
Risk
Full control over what partners can see.
Cost
One licence replaces a stack of subscriptions.
Intelligence
AI that runs inside your organisation
The model comes to the data, not the data to the model. Everything live today runs on your own hardware and answers only from what the person asking may read. Anything that reaches outside is off by default, and switching it on is your decision.
Ask the organisation in your own words. The answer comes with its sources, built only from content you may open.
Similar passages from different units are paired up for a reviewer, so duplicated work and contradicting versions of the same fact surface early.
The boundary sits in the query itself, not in a prompt. What a person cannot open, the AI cannot see on their behalf.
Your teams talk to the language model you choose. Off by default, switched on per organisation, every call on the audit trail, restricted content never sent, and conversations kept on your server.
Department-based agents that work entirely inside, with access to exactly what that department may reach.
When something happens, Tura acts: event-to-action rules that administrators define once and every unit can reuse.
Apps
Every app on one data model
The path of a decision and the layers beneath itWork flows on top, the data model holds beneath
Run the same job across five separate tools and it is copied by hand at every step, losing context. In Tura the work flows in the app layer, while the three layers beneath it — memory and search, the membership graph, and governance with the audit chain — apply to all of them at once. The apps may change; those three layers do not.
Comparison
Where we match, and where we differ
Our reference is Mattermost. The difference sits in three places: one data model for every app, conflict detection across units, and an audit chain that cannot be rewritten.
| Tura Workspaces | Slack | Microsoft Teams | Mattermost | Rocket.Chat | openDesk | |
|---|---|---|---|---|---|---|
| Runs on your own hardware | ||||||
| AI that runs on your own hardware | ||||||
| One data model for every app | ||||||
| Cross-unit conflict detection | ||||||
| Guest and vendor isolation in the data model | ||||||
| Tamper-evident audit chain | ||||||
| Customer holds the encryption key | ||||||
| Vendor jurisdiction | Türkiye | US | US | US | US / Brazil | Germany |
Built into the productPartly, or only as an add-on or higher tierNot offered
Based on each vendor's public documentation, October 2026.