How do their growth rates compare?

Dhisana AI has a month-over-month growth rate of -34.2%; Glean has +0.1%.

How does pricing compare?

Dhisana AI: Contact for Pricing. Dhisana AI uses enterprise pricing: plans are structured around the workflows, usage volume and deployment model an organisation requires. There is no published per-seat or self-serve tier—deployments typically begin with one prioritised workflow and a defined business case, then expand through reusable agentic flows. Interested teams request a demo or a scoping conversation with the Dhisana team. Glean: Contact for Pricing. Contact for pricing. Glean is licensed to organisations based on seats, connectors, and deployment scope, and is evaluated through a demo rather than self-serve purchase.

What are alternatives to Dhisana AI and Glean?

Other tools in related categories include Notion, Salesforce Agentforce (formerly Einstein), Clay, Outreach, Dust.

Dhisana AI vs Glean — Traffic (1.66K vs 3.3M), Pricing & Verdict

Open AI Tools

Dhisana AI vs Glean — Traffic (1.66K vs 3.3M), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Dhisana AI	Glean
Official Domain	dhisana.ai	glean.com
Pricing Model	Contact for Pricing	Contact for Pricing
Monthly Visits	1.66K (1,660)	3.3M (3,301,875)
MoM Traffic Delta	-862 (-34.2%)	+4.86K (+0.1%)
Primary Market & Share	🇺🇸 United States (100%)	🇺🇸 United States (56.6%)
Direct Visits / mo	652	2.63M
User Rating	4	4.6
Supported Platforms	Website	Website

Dhisana AI

Enterprise decision intelligence powered by governed AI agents built on your own data and rules.

Unified decision context

Combines enterprise records, market data, documents, relationships, activity and business rules into one trusted view of each decision.

Signals that matter

Surfaces the changes, risks and opportunities relevant to your domain without flooding teams with more alerts.

Prioritisation and explainable recommendations

Ranks cases and opportunities by urgency, impact and risk, then gives a clear recommendation with the reasoning behind it.

Governed action with approvals

Moves recommendations into approvals, permissions, system updates and team coordination, with audit trails and human sign-off.

Strengths & Pros

+Governance is designed in: role-based access, approvals, auditability and human oversight for material actions
+Custom decision models can be trained on open-weight foundations with your own criteria, even without historical datasets
+Deployment can run inside your own infrastructure, keeping proprietary data off third-party model APIs
+Covers multiple domains—revenue, financial services and industry-specific workflows—on one platform