Outcome clarity
AI understands what the buyer needs, not just what you sell.
Legacy CPQs forced reps to hunt for SKUs. Genesis AI transforms selling into a natural conversation.

Sales teams have become prisoners of complexity. Endless product catalogs turned brilliant professionals into frustrated navigators of bureaucratic labyrinths.
Sales discovery shouldn’t feel like a scavenger hunt. Genesis AI turns product chaos into clarity — so reps focus on solving, not searching.
AI understands what the buyer needs, not just what you sell.
Every suggestion comes with context — the “why” behind every product.
Discovery flows straight into configuration and pricing — no manual work, no errors.
Legacy systems trap sales teams in endless catalog mazes. Genesis AI breaks those walls, turning complex searches into simple conversations.


Legacy sales tools throw products at customers. Genesis AI builds bridges of understanding, turning every recommendation into a strategic dialogue.
Traditional sales approaches trap teams in product catalogs. Genesis AI liberates selling by connecting customer goals directly to meaningful solutions.


AI dynamically adapts quote structures to match deal complexity.
Buyers don’t remember SKUs. They remember how well you understood what they needed. Genesis turns this understanding into growth.
Answers to common questions about Genesis AI product discovery.
AI Product Discovery helps sales reps find and recommend the right products based on customer goals instead of SKUs. Instead of searching catalogs manually, reps describe customer outcomes, and AI instantly recommends the right solutions — complete with context and pricing.
Genesis eliminates manual SKU lookups and product mismatches. Reps spend less time searching and more time selling — while AI ensures every recommendation aligns with product logic, pricing, and business rules.
Traditional CPQs rely on keyword search and static product lists. Genesis Product Discovery uses natural language understanding and AI reasoning to interpret intent, match outcomes to products, and explain why each recommendation fits.
Yes. Genesis was built for enterprise-grade catalogs with thousands of SKUs and dependencies. Its AI engine understands attributes, bundles, and pricing logic — ensuring fast, accurate product matching at scale.
By turning product selection into a consultative conversation, not a transaction. Buyers feel understood because AI recommendations mirror their goals, not a list of features. The result: higher trust, faster decisions, and stronger long-term relationships.
Absolutely.
SaaS: Maps customer goals to subscription bundles and license tiers.
Manufacturing: Recommends compatible configurations that meet technical specs.
IoT/XaaS: Suggests usage-based combinations tailored to device and service models.