DiggyChatDiggyChatAsk DiggyChat like asking a sharp teammate
The AI portal for your org's knowledge connects the tools you already run, so teams ask cross-cutting questions in one place instead of tab-hopping.
If this sounds interesting, you're already the right audience.
Ask questions that cut across repos, tickets, and wikis, then follow every answer back to its source. Try questions like these.
Every answer comes with the source behind it.
A working AI portal for your org, with crawlers installed and tuned on the schedule you choose so answers stay current.
One place to ask cross-cutting questions across repos, tickets, docs, and releases. Sources you can follow up on.
Hands-on rollout with authenticated pulls from your tools, scheduled refreshes, and guardrails matched to your risk profile.
A deployment your team can operate independently.
This is a one-off, fixed-scope project, with knowledge transfer at handover. Optional support can be agreed separately.
Your tools stay where they are. DiggyChat connects them so you can ask across boundaries.
Scheduled refreshes keep answers aligned with this week's docs and tickets, not a stale quarterly export.
I'm an AI / DevOps engineer at Nokia, with a PhD in Computer Science and 15+ years of experience building and operating large-scale systems.
I've worked on telecom-grade cloud platforms, CI/CD and testing infrastructure, internal developer tooling, and AI systems applied to real production constraints.
I'm also the creator of Pulsinio, a news monitoring system that tracks and ranks emerging topics based on public discussion signals.
DiggyChat is how I help teams put an AI portal over knowledge scattered across their stack.
Pricing is project-based, not hourly. Projects typically range from €8,000 to €25,000 depending on scale and complexity. Details will be shared privately, based on scope.
If scattered repos, tickets, and docs are slowing people down, tell me how your stack is wired today and we can see if the scope fits.