Connect internal knowledge, employee-added personal knowledge, and business systems — so teams can search, ask, and take action without leaving the conversation.
Enterprise AI has always forced a false choice. Internal tools know your business intimately, your data, your processes, and your institutional knowledge, but they can't reason beyond what they were built to do. Frontier language models are extraordinary: they reason, synthesize, and generate at a scale that feels like magic. But without access to your proprietary context, they hallucinate, generalize, or simply guess. Data Diggers ends that compromise by combining the reasoning power of frontier AI with the precision of your own knowledge base.
Secure & productivity driven.
Runs in the client's infrastructure. Data stays exactly where it needs to — no third-party SaaS dependency for your sensitive knowledge.
Employees only get answers from content they are authorized to access. Access boundaries are enforced at retrieval, not as an afterthought.
Go beyond answers. Trigger actions inside CRM, ERP, email, and internal workflows directly from the conversation — no tab switching required.
Employees stop jumping between docs, inboxes, and business tools. The answer comes to them.
Responses are grounded in actual company knowledge and each user's working context — not generic training data.
Teams rely less on tribal knowledge and interrupt-driven communication. The knowledge becomes accessible.
Move from "find the info" to "use the info" in the same workflow. No context switching, no manual copy-paste.
Your teams get answers and actions based on the right mix of company knowledge, personal working context, and connected business systems.
Internal policies, SOPs, wikis, project documentation, support articles — everything the organization has built over time, made instantly accessible.
Each employee can add their own private notes, role-specific documents, and working files. Their personal context enriches their answers without being visible to others.
CRM, ERP, inboxes, calendars — the assistant reads and acts across the tools teams already live in, turning conversation into execution.
Real use cases across the teams that rely on scattered information and too many tools.
Ask for the latest deal context, pull CRM notes, summarize customer email threads, draft follow-ups — all from one conversation, without toggling between 5 tools.
Surface internal policies, onboarding procedures, and employee-specific documentation in seconds. Stop being the search engine for your own org.
Access account knowledge, past project notes, client communications, and operating procedures — without hunting across drives, emails, and project tools.
Get fast answers across internal knowledge and operational systems without chasing people or waiting for someone to compile a report.
Ingest internal company knowledge bases and let employees add their own personal working documents. Sources are indexed with access permissions preserved.
Integrate your ERP, CRM, Gmail, Microsoft 365, and other business tools. The assistant can read context and trigger actions across all connected systems.
Employees ask in natural language. The assistant retrieves grounded answers from the right sources and lets users take action without leaving the conversation.
The assistant doesn't just reference these tools — it uses them to retrieve context and support actions inside real workflows.
| Capability | Generic AI tool | Search-only enterprise assistant | Data Diggers |
|---|---|---|---|
| Deploy in client environment | ✕ Cloud-only | ~ Varies | ✓ |
| Internal company knowledge | ~ Limited | ✓ | ✓ |
| Employee personal knowledge | ✕ | ✕ | ✓ |
| Permission-aware retrieval | ✕ | ~ Partial | ✓ |
| Business system actions (CRM, ERP) | ✕ | ✕ | ✓ |
| Email & calendar integrations | ~ Read only | ✕ | ✓ Read + act |
| Custom workflow integrations | ✕ | ~ Limited | ✓ |
If something isn't answered here, the fastest path is a conversation with our team.
Talk to the team →See how company knowledge, personal context, and business systems can work together inside one assistant — deployed in your environment.