Kuga
- Agencies packaging AI as a retainer
- Teams that need a client workspace per account
- Delivery that includes portal access, handover, and insights
Kuga vs Dante AI
A fast site agent is a demo. A client workspace is the service.
Dante AI positions around quickly trained website agents. That can be enough for a single business. Agencies still need client separation, white-label delivery, handover, and a monthly story they can put in front of a client.
Train once, or operate a portfolio.
Launch is not the product.
- Add the client
A workspace, a plan, and a place for knowledge — not a new bot project.
- Deploy
Website Chat first, then WhatsApp, Instagram, or AI Forms if the job needs them.
- Report
AI Insights and the portal make the monthly conversation specific.
- Improve
Handover, Contact Requests, and thin answers become next month’s work.
Best for.
Two different jobs.
Dante AI
- A business that wants to train a site agent quickly for itself
- Projects where the end company owns the vendor relationship
- Evaluations driven mainly by published list price
Side by side.
Inspect the other product on its own site before you brief a client.
| Question | Kuga | Dante AI |
|---|---|---|
| Buyer | Agencies reselling and managing client AI | Businesses training a customer-facing agent |
| Launch | Add a client, attach knowledge, deploy, report, improve | Train from a website and iterate the agent |
| Portfolio | Clients are first-class: plans, deployments, and separation | Inspect whether multi-client agency workflow is first-class |
| Proof of work | AI Insights and a client portal under the agency brand | Vendor analytics for the business that owns the agent |
| White-label | Agency brand on the surfaces the client sees | Inspect branding and reseller terms directly |
Other comparisons
Same question, different alternative.