All of these are strong platforms, but none of them are the System of Intelligence that the future of sales needs.
Clay excellent for enrichment and spreadsheet-like workflows, but not designed for full customer journey orchestration.
Apollo strong contact database with a sequencer, mainly optimized for cold outbound.
Gong great for conversation intelligence once deals are in the funnel, but less about fixing leaks earlier in the pipeline.
Outreach powerful sequencer for structured outreach, though today s sales teams need more adaptive, AI-driven workflows.
Dhisana AI is different: it s an AI-native orchestration platform built around Agentic Flows.
We combine the predictability of workflows with the reasoning of AI, integrate deeply with CRMs, and give sales teams native controls to manage, approve, and fine-tune agents.
This looks super cool and has all the latest tech at hand and very intuitive UI and very sleek and many more :)
Congratulations Hari Sir on a great launch.
Dhisana AI
@ranga2 Thanks! Automate anything in sales process by just describing what you want. Manage it easily is the goal
This is brilliant 🚀 Giving sales teams a “Cursor-like” boost is such a strong value proposition. I really like how you’ve made it as simple as “just describe it” to build workflows — that’s going to save reps so much time while keeping them focused on closing deals. Huge congrats on the launch!
I’ve also been working on HostellMe , a platform helping students in Lahore find housing more easily. Different domain, but like Dhisana AI, it’s about reducing friction and letting people focus on what matters most. Would love your thoughts if you get a chance 🙌
Agnes AI
Wow, the auto-generated meeting briefs and next steps are such a lifesaver—no more scrambling before calls! Super curious if the deal risk signals integrate with HubSpot, too?
Dhisana AI
Thanks @cruise_chen !, Yes, we provide automation and full sync with HubSpot and Salesforce for later pipeline stages such as deal risk signals, acceleration, and more for enterprises. Feel free to DM me and I’ll share more details.
Next3 Offload
Can you explain in more detail how Dhisana’s predictive AI generates real-time forecasts? I’m curious about how it combines historical data, market trends, and live pipeline signals to adjust projections automatically.
Dhisana AI
@shahriardgm You can, for example, factor in how long a deal has been in the pipeline, what previous call conversations revealed, and what objections were raised. Combine these signals to generate a score, then use that score together with deal size to build projections. At a high level, think of it as context engineering: pulling the right data from the pipeline, enriching it with external sources, and applying reasoning models to create a score. That score then drives predictions and forecasts. Under the hood, it’s all powered by agentic workflows that bring the right context together to make it happen.
This product is pretty interesting.
Dhisana AI
@patilshraddhaa Thanks! You should give the product a try. it’s free to get started, and I’d love to hear your feedback.
Super excited about the launch! It will save hundreds of manual hours!!
Dhisana AI
@bhavikv Thanks. no more manual grunt work :)
Dhisana AI
@supreethere thanks! Dhisana AI Agentic Flows are the smart way to do it, not just a generic MCP or an agent with a full context dump!