Diwo

Name: Diwo
Brand: Diwo

Diwo is an enterprise decision-intelligence platform that layers on top of data warehouses and ML models to generate contextual, quantified recommendations and role-specific action plans for operational decision workflows.

Est 2014|Raised $11M|2 Ref Customers

LinkedIn 2K|Web traffic 1K|FTEs 22

01Competitive Landscape

Narrative analysis

- Diwo vs BI + GenAI: Diwo is positioned as a decisioning layer intended to reduce reliance on dashboards. In practice, some enterprises may approximate parts of this capability using Power BI/Fabric plus semantic models, alerting, and copilots, while Diwo’s differentiation is its explicit decision-flow and knowledge-graph contextualization. - Diwo vs Tellius: Tellius is packaged as AI-powered analytics. If the primary need is rapid insight discovery, Tellius may be an appropriate option. If the primary need is turning insight into coordinated action plans with constraints and trade-offs, Diwo’s positioning may align more closely, subject to independent validation. - Diwo vs Palantir Foundry: Foundry offers broader platform breadth and is often heavier to implement. If an organization already operates Foundry-like platforms, Diwo may overlap. If the objective is a narrower decision-intelligence layer without re-platforming, Diwo may be relevant, but this requires careful validation.

Adoption trends / market share

No credible market share data was identified in the materials reviewed. Trade coverage describes the product and use cases but does not quantify adoption.

	Diwo	Tellius	Palantir Foundry
Starting Price	Not publicly listed; enterprise quotes typical	Customized; published guidance exists for different plans	Not publicly listed; enterprise contracting common
Primary use case	Enterprises seeking recommendation-led decision workflows on top of existing analytics and ML	Teams seeking AI-powered analytics, guided insights, and search-driven BI	Large organizations operationalizing data into workflows across domains
Key strength	Decision-flow and knowledge-graph framing; asserted IP portfolio	Clearer packaging as AI-powered analytics; modern analytics UX	Broad platform capabilities and operational deployment patterns
Key weakness	Limited public customer reviews; certifications and pricing not transparent; outcomes harder to validate	More focused on analytics than decision orchestration for complex enterprises	Complexity, cost, and potential vendor lock-in concerns commonly discussed

01Competitive Landscape

Narrative analysis

Diwo vs BI + GenAI: Diwo is positioned as a decisioning layer intended to reduce reliance on dashboards. In practice, some enterprises may approximate parts of this capability using Power BI/Fabric plus semantic models, alerting, and copilots, while Diwo’s differentiation is its explicit decision-flow and knowledge-graph contextualization.
Diwo vs Tellius: Tellius is packaged as AI-powered analytics. If the primary need is rapid insight discovery, Tellius may be an appropriate option. If the primary need is turning insight into coordinated action plans with constraints and trade-offs, Diwo’s positioning may align more closely, subject to independent validation.
Diwo vs Palantir Foundry: Foundry offers broader platform breadth and is often heavier to implement. If an organization already operates Foundry-like platforms, Diwo may overlap. If the objective is a narrower decision-intelligence layer without re-platforming, Diwo may be relevant, but this requires careful validation.

Adoption trends / market share

No credible market share data was identified in the materials reviewed. Trade coverage describes the product and use cases but does not quantify adoption.

	Diwo	Tellius	Palantir Foundry
Starting Price	Not publicly listed; enterprise quotes typical	Customized; published guidance exists for different plans	Not publicly listed; enterprise contracting common
Primary use case	Enterprises seeking recommendation-led decision workflows on top of existing analytics and ML	Teams seeking AI-powered analytics, guided insights, and search-driven BI	Large organizations operationalizing data into workflows across domains
Key strength	Decision-flow and knowledge-graph framing; asserted IP portfolio	Clearer packaging as AI-powered analytics; modern analytics UX	Broad platform capabilities and operational deployment patterns
Key weakness	Limited public customer reviews; certifications and pricing not transparent; outcomes harder to validate	More focused on analytics than decision orchestration for complex enterprises	Complexity, cost, and potential vendor lock-in concerns commonly discussed

Diwo

01Competitive Landscape

Narrative analysis

Adoption trends / market share

02Market Map

01Competitive Landscape

Narrative analysis

Adoption trends / market share

02Market Map