Kubit vs Holistics
Side-by-side trajectory, velocity, and editorial themes.
Kubit pivots from query builder to agentic analytics with the Lumos AI chat.
Kubit is a product-analytics platform that has spent the last quarter shifting from a manual report-builder model toward an agentic one. The headline move is Lumos Agentic AI Chat, which lets users describe reports in natural language instead of clicking through a builder. Alongside it, an AI Readiness framework continually scores how well a customer's metadata is prepared for that workflow.
Every directional release this quarter either ships agentic capability or removes blockers in front of it. AI Readiness keeps expanding its assessment surface (virtual events, breakdown fields) so customers can see exactly what gaps would limit Lumos. Enterprise-readiness work like granular Slack permissions and partial caching is clearing the path for production rollout rather than chasing new categories.
Expect Lumos to extend past chat into scheduled agent runs and proactive insights surfaced on dashboards, with a Slack or Teams entry point built on the new fine-grained permission model.
Holistics turns the BI dashboard into a conversational AI surface, on customer-owned models.
Holistics is well into a BI-meets-AI productization phase, layering conversational analytics on top of its existing modeling and dashboard core. Recent releases mix consumer-grade dashboard polish (auto-run filters, K/M/B number formatting, percentile calculations) with deeper AI plumbing: bring-your-own Claude and Gemini keys, per-user AI access controls, and now an Ask AI that asks clarifying questions back. The GitHub App integration also signals enterprise-readiness work alongside the AI push.
The product is being repositioned from a self-service BI tool to an AI-mediated analytics workspace where natural-language exploration is the headline interaction. Crucially, the team is pushing AI as an infrastructure layer customers can own — BYO LLM keys, granular access policies — rather than locking customers into a vendor-managed model. The dashboard improvements look incremental, but read as ground prep for AI agents to consume and manipulate dashboards more reliably.
Expect the next quarter to bring agentic dashboard editing — Ask AI not just answering but proposing dashboards and saving them — plus expanded BYO LLM coverage (likely Azure OpenAI or open-weights via OpenRouter) to widen procurement options for enterprise buyers.
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