How Diwo compares. The honest reads.
Side-by-side capability comparisons across two product families — Diwo Provenance (AI Code Governance) and Diwo Catalyst (Decision Intelligence) — against the vendors and categories enterprise buyers evaluate alongside each. We give credit where it’s deserved, and we’re surgical on the gaps.
Diwo Provenance vs the AppSec and AI-code stack.
Provenance is the governance layer above every scanner and monitor — it consumes their signal rather than replacing them. These comparisons frame it against the three vendors buyers most often name in the same conversation.
Diwo Provenance vs ZeroPath
ZeroPath's AIBOM catalogs the AI components a codebase ships — models, agent frameworks, LLM SDKs. Provenance detects which of your code was written by AI, governs it across build and runtime, and produces board-grade evidence. Scanner replacement vs the layer above.
Diwo Provenance vs Snyk
Snyk's AI Trust Platform + AI-BOM detect AI usage inside code. Provenance sits above Snyk (and every other scanner you run), correlates findings against business criticality, and records the human decision as a governed fact. Consumption, not replacement.
Diwo Provenance vs Sema
Sema's AI Code Monitor classifies code as pure GenAI / blended / human via function-level ML — the closest single competitor. Provenance adds the board risk-office reporting, article-level EU AI Act + NIST AI RMF mapping, and the closed build↔runtime loop. Honest tradeoffs.
Diwo Catalyst vs the platforms you’re evaluating.
Diwo Catalyst vs ThoughtSpot
Both have a conversational search bar. Only one ends at an audited decision in your operational system. 14 capabilities side by side, with a concrete retail example showing the difference between a chart and a decision.
Diwo Catalyst vs Tellius
Tellius does augmented analytics elegantly — auto-insights, key drivers, segment discovery. The gap is decision-shaped output and outbound execution. Capability table, three honest triggers for migrating, and the agents close-the-loop story.
Diwo Catalyst vs ChatGPT
ChatGPT is brilliant at general-purpose AI. But it has no live warehouse connection, no schema awareness, no anti-hallucination guards on numbers, no audit trail, and no outbound execution. The multi-agent architecture that makes Catalyst enterprise-grade.
BI, Augmented Analytics, Decision Intelligence.
The category-level frame matters more than vendor matchups. These pages explain what changed in the analytics stack — what BI was built to do, what Augmented Analytics added on top, and what Decision Intelligence does that neither of those does.
BI vs DI
Business Intelligence answers what happened. Decision Intelligence answers what should we do — and what will happen if we do it. The deepest category-level frame, with ten dimensions side by side and citations to the Gartner + IDC 2024 market guides.
Decision Intelligence vs Augmented Analytics
Augmented Analytics is the AI-accelerated branch of BI. Decision Intelligence is a distinct Gartner-defined discipline whose output is a decision, not an insight. Twelve dimensions, vendor examples, and three triggers for when you need DI on top of AA.
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