# Dhisana AI vs Rox

Dhisana AI records 1,660 monthly visits with -34.2% month-over-month growth and Contact for Pricing pricing. Rox records 60,539 monthly visits with -25.6% growth and Freemium, Paid, Contact for Pricing pricing.

| Metric | [Dhisana AI](https://openaitools.app/tool/dhisana-ai) | [Rox](https://openaitools.app/tool/rox) |
| :--- | :--- | :--- |
| Website URL | https://www.dhisana.ai | https://www.rox.com |
| Categories | AI Agent, AI Sales Assistant, AI Sales, AI Lead Generation | AI Sales Assistant, AI Lead Generation, AI Agent, AI Sales |
| Pricing Model | Contact for Pricing | Freemium, Paid, Contact for Pricing |
| Monthly Visits | 1,660 | 60,539 |
| MoM Growth Rate | -34.2% | -25.6% |
| Primary Market | United States | United States |
| Direct Visits | 652 | 27,481 |
| Review Score | 4 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Dhisana AI

Dhisana AI takes a governance-first approach to enterprise AI. Rather than dropping a generic assistant onto fragmented data, it builds a living decision context for each case from enterprise records, market signals, activity, conversations, relationships and business rules. From that context it identifies meaningful changes and opportunities, prioritises them using urgency, business impact and risk, and presents a clear recommendation with the rationale behind it. The final step is action: recommendations are routed into workflows, approvals, system updates and customer engagement with permissions and auditability intact.

A distinguishing capability is custom decision modelling. Dhisana can train custom models on open-weight foundations using synthetic examples derived from your own business criteria—no historical training dataset required to get started. Those models produce scores, classifications and routing decisions that agents can act on, and both training and inference can run inside your own infrastructure, so proprietary data and decision logic never need to pass through frontier-model APIs.

The platform is aimed at regulated and complex environments. Banking and financial services agents prepare relationship and client briefs, surface missing documents and next steps in lending workflows, and bring portfolio changes and renewal evidence to credit teams for review. Revenue agents connect account history and conversations to prioritise opportunities, prepare meeting briefs and coordinate approved CRM updates. Industry agents are configured per domain. Dhisana supports SSO, role-based access, audit logging and policy-controlled actions, and can be deployed in your cloud or a dedicated hosted instance.

**Pricing & Plans:** 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.

- **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.
- **Custom decision models on your criteria:** Adapts open-weight models to your business criteria as scores, classifications and routing decisions, runnable inside your own infrastructure.
- **Outcome learning:** Measures which signals, recommendations and actions produced results, so prioritisation keeps improving over time.

**Strengths:** 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

**Limitations:** Pricing is enterprise-quote based, so there is no public self-serve plan or instant sign-up; Value depends on connecting proprietary enterprise data and defining governance, which requires an implementation effort; Positioned for regulated enterprises and financial services, so very small teams may find it heavyweight; Some agents are necessarily scoped to the customer's available data, integrations and rules rather than being plug-and-play

[Profile (Markdown)](https://openaitools.app/tool/dhisana-ai.md)

## Rox

Rox sits in the emerging category of AI revenue agents: software that does not just assist a rep but performs the underlying sales work. It is designed for large B2B organizations, and the company markets to the Global 2000 with security and compliance credentials (SOC 2, GDPR) that enterprise buyers expect. Rather than another dashboard, Rox presents a fleet of agents that run the end-to-end revenue cycle for you.

The platform covers the full arc of a deal: the Outbound Agent automatically finds and engages prospects, agents research accounts and monitor signals to generate pipeline, contact and company enrichment fills in missing data across named accounts, multi-channel sequences qualify leads and book meetings, and deal-management and account-expansion workflows keep opportunities and existing customers moving. A transparent agent activity log records every action the agent took on your behalf, with an admin view for organizational oversight.

Rox is priced in 'Agent Actions', a usage unit that maps each task to a cost, so bills track the value delivered rather than raw data processing. Plans start around $100 per month for individual professionals and roughly $255 per month for a whole team, with Enterprise pricing on request. Higher tiers add CRM sync and writeback, data warehouse sync, SAML/SCIM/SSO and a dedicated support team. The company says it is backed by Sequoia and General Catalyst and was recognized in Gartner and IDC research.

**Pricing & Plans:** Freemium/trial with paid tiers. Individual starts at about $100/month; Teams starts at about $255/month for the whole team with unlimited seats, CRM sync and writeback; Enterprise is contact-for-pricing with data warehouse sync, SSO/SAML/SCIM and dedicated support. Consumption is metered in 'Agent Actions', and unused actions do not roll over.

- **Outbound prospecting agent:** The Outbound Agent identifies and engages target accounts, using account and contact enrichment from multiple data providers to find the right people.
- **Account research and pipeline generation:** Agents research accounts, monitor intent signals and generate pipeline on autopilot, with an activity log showing exactly what each agent did.
- **Multi-channel outreach and meeting booking:** Multi-channel outreach sequences qualify leads and book meetings, and the agent produces meeting briefs with context before each call.
- **Deal and expansion management:** Deal management and account expansion workflows keep opportunities moving, with insights surfaced into Slack and other tools.
- **CRM and warehouse integration:** Native CRM sync and writeback plus data warehouse sync, on SOC 2 and GDPR-aligned infrastructure for large organizations.

**Strengths:** Covers prospecting, outreach, meetings, deals and expansion in one agent platform; Transparent Agent Actions pricing tied to outcomes and an activity log; Native CRM sync/writeback and data warehouse sync; Enterprise-grade security posture (SOC 2, GDPR, SAML/SCIM/SSO)

**Limitations:** Enterprise features such as data warehouse sync and SSO are gated to the top plan; Usage is metered in Agent Actions that do not roll over month to month; Priced for teams and enterprises rather than casual individual users; Effectiveness depends on clean CRM and account data

[Profile (Markdown)](https://openaitools.app/tool/rox.md)

## Frequently Asked Questions

### How do Dhisana AI and Rox compare in monthly traffic?

Dhisana AI has 1,660 monthly visits, while Rox has 60,539. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dhisana AI has a month-over-month growth rate of -34.2%; Rox has -25.6%.

### 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. Rox: Freemium, Paid, Contact for Pricing. Freemium/trial with paid tiers. Individual starts at about $100/month; Teams starts at about $255/month for the whole team with unlimited seats, CRM sync and writeback; Enterprise is contact-for-pricing with data warehouse sync, SSO/SAML/SCIM and dedicated support. Consumption is metered in 'Agent Actions', and unused actions do not roll over.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | Autonomous enterprise AI agents and CRM intelligence powered by Salesforce Data 360 and Atlas. | [.md](https://openaitools.app/tool/salesforce-einstein.md) |
| 2 | [Instantly](https://openaitools.app/tool/instantly) | 2,336,279 | +6% | Paid, Contact for Pricing | Sales engagement platform with AI agents for lead finding, outreach and deliverability | [.md](https://openaitools.app/tool/instantly.md) |
| 3 | [Clay](https://openaitools.app/tool/clay-2-0) | 1,267,465 | -2.7% | Freemium, Free Trial, Contact for Pricing | Build GTM systems that turn data into revenue | [.md](https://openaitools.app/tool/clay-2-0.md) |
| 4 | [Outreach](https://openaitools.app/tool/outreach) | 958,599 | +0.4% | Contact for Pricing | AI agents that work the revenue lifecycle alongside your sellers | [.md](https://openaitools.app/tool/outreach.md) |
| 5 | [Success.ai](https://openaitools.app/tool/success-ai) | 547,073 | +6.3% | Freemium, Free Trial | AI sales platform for unlimited B2B leads and outreach | [.md](https://openaitools.app/tool/success-ai.md) |
| 6 | [Claap 2.0](https://openaitools.app/tool/claap-2-0) | 135,964 | -20.9% | Freemium, Free Trial, Contact for Pricing | AI revenue agents that keep your CRM accurate and your deals on track | [.md](https://openaitools.app/tool/claap-2-0.md) |
| 7 | [Nooks AI](https://openaitools.app/tool/nooks-ai) | 95,124 | +10.7% | Contact for Pricing | Revenue infrastructure for reps and agents | [.md](https://openaitools.app/tool/nooks-ai.md) |
| 8 | [Delos Workers](https://openaitools.app/tool/delos-workers) | 90,525 | -15.9% | Free Trial, Paid, Contact for Pricing | Autonomous AI workers with their own identity, memory and initiative | [.md](https://openaitools.app/tool/delos-workers.md) |
| 9 | [GPTBots.ai](https://openaitools.app/tool/gptbots-ai) | 78,362 | +20% | Contact for Pricing | Enterprise AI agent platform for building and running business agents | [.md](https://openaitools.app/tool/gptbots-ai.md) |
| 10 | [CRM Chat](https://openaitools.app/tool/crm-chat) | 69,640 | -11% | Freemium | Telegram-native CRM, outreach automation and lead research for sales teams | [.md](https://openaitools.app/tool/crm-chat.md) |

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Source: https://openaitools.app/compare/dhisana-ai-vs-rox

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