The problem

Backwards approaches are costing companies millions.
In complex B2B sales, salespeople are avoided and buyers get stuck in internal approvals. Traditional sales approaches create adversarial relationships instead of collaborative partnerships, leading to longer sales cycles, lower close rates, and frustrated stakeholders on both sides.
Our dual-sided AI-powered sales platform creates collaborative partnerships that benefit both buyers and sellers, delivering measurable results from day one.
Deal Suite is the only platform that uniquely addresses both seller productivity and buyer experience in complex B2B sales.
Instead of traditional seller-focused tools, we create shared workspaces where buyers and sellers work together as partners throughout the entire sales process.
Collaborative deal workspace
We provide a shared deal room that aligns all stakeholders, centralizes communication, and guides structured deal progression.
Enterprise sales intelligence
Our platform automates the entire meeting workflow—from prep to follow-up—while syncing seamlessly with calendars and CRMs.
Optimize success
Our custom AI model analyzes 120+ expert sales data points unique to each business, continuously scanning deals in real-time while learning from historical data and successful patterns.
Proven impact
Our platform accelerates buying decisions, boosts seller earnings, and drives organizational revenue growth while cutting costs and improving forecast accuracy.
Unlike competitors focused solely on seller productivity, we create measurable value for both sides through collaborative workspaces accessible to external buyers. This transforms sales from a seller-driven process into a true partnership.
Our Expert Language Model is trained specifically for sales contexts, providing contextual recommendations and risk detection that generic AI tools simply cannot match. We understand the nuances of complex B2B deal progression.
Deal Suite combines meeting intelligence with deal collaboration in one seamless platform, eliminating the need for multiple point solutions and reducing technology stack complexity.