Data Diggers gives each employee a secure AI workspace connected to company knowledge, private personal context, and business systems, all deployed in your environment.
Most enterprise AI tools force a trade-off. Internal tools know your business but stay rigid. Generic copilots reason well but guess once company context is missing. Data Diggers combines model capability with company knowledge, personal context, and live systems so answers are grounded in the reality of the business.
Built for secure adoption and real work.
Deploy inside your infrastructure, private cloud, or dedicated environment. The workspace is designed to live where your company wants the system to live.
Answers are grounded only in sources the employee is allowed to access. Access control is part of retrieval, not a manual afterthought.
Move from reading to doing inside the same conversation: update a CRM record, draft an email, schedule the next step, or trigger an internal workflow.
Teams stop bouncing between documentation, inboxes, and business tools to reconstruct context.
The assistant does not stop at the answer. It can prepare or execute the next step in the connected system.
Useful knowledge becomes easier to access without relying on the one person who always knows where to look.
You can roll out one controlled workspace instead of letting employees stitch together public tools and workarounds.
Answers and actions are grounded in the right mix of shared company knowledge, private employee context, and connected business systems.
Policies, SOPs, procedures, wikis, project history, support content, and internal documentation become searchable and usable in one workspace.
Each employee can keep a personal knowledge layer with private notes, working files, and role-specific material that stays private by default.
CRM, ERP, inboxes, calendars, internal tools, and APIs provide live context and execution capabilities inside the conversation.
Relevant across mid-market and enterprise teams dealing with scattered knowledge, sensitive context, and too many tools.
Pull the latest deal context across CRM, inbox, company docs, and personal notes. Prepare the next follow-up without rebuilding the full story by hand.
Find the right procedure, supplier note, incident history, or internal instruction quickly, then trigger the next action in the systems your team already uses.
Recover project context across documents, emails, meeting notes, and internal tools without digging through shared drives or asking three different people.
Ask across company knowledge and live systems without waiting for someone to compile the information into a separate report.
Index company knowledge and let employees keep their own private context. Permissions remain attached to the source.
Connect email, calendar, CRM, ERP, and internal tools so the workspace can read context and support actions in real workflows.
Employees ask naturally. The assistant retrieves from the right sources and prepares or executes the next action without leaving the conversation.
The workspace does not just mention these tools. It reads context from them and supports actions inside real workflows.
| Capability | Generic AI tool | Search-only enterprise assistant | Data Diggers |
|---|---|---|---|
| Deploy in the client environment | ✕ Cloud-only | Varies | ✓ |
| Shared company knowledge | Limited | ✓ | ✓ |
| Private employee knowledge | ✕ | ✕ | ✓ |
| Permission-aware retrieval | ✕ | Partial | ✓ |
| Business system actions | ✕ | ✕ | ✓ |
| Email and calendar read plus act | Mostly read-only | ✕ | ✓ |
| Custom workflows and internal tools | ✕ | Limited | ✓ |
If you need to assess fit, architecture, or rollout, the fastest next step is a direct conversation with our team.
Talk to the team →See how company knowledge, private employee context, and connected systems can work together in one workspace deployed in your environment.