Industry · AI & High Tech

Growth Tech & AI Companies

Leadership that ran these functions at high-growth startups. We speak the language of your cross-functional teams.

Our Strengths

Where Growth Tech Experience Shows Up

Next Generation Monetization

  • Usage-based pricing, credit burndown, and seat-plus-consumption hybrids priced side by side on one catalog.
  • Ramps and price changes modeled in Revenue Cloud as configuration, not a re-implementation project.
  • A new pricing model ships as a change to setup, not a rebuild of the system.

Omni-Channel Selling

  • Self-serve, sales-led, and partner motions run on one catalog and one price book.
  • A quote generates the same way in-product, in Slack, or through a rep, with no forked pricing logic.
  • Add a channel without duplicating the products or the prices behind it.

Data 360 on Salesforce

  • Product telemetry, billing, and CRM data unified in the warehouse and surfaced back onto the account.
  • Reps see consumption, invoices, and account health in the same record they already work in.
  • No side dashboard to check before a renewal conversation.

Predictive Customer Analytics

  • Consumption trajectories, renewal risk, and expansion signals computed in the warehouse.
  • Signals pushed to the CRM record for the reps and CSMs who carry the number.
  • Risk and expansion surface before the renewal date, not after the invoice.
Posture

Operationalize Toward the Objective

Partner, Not Vendor

We operationalize your processes to align with your top-level business objectives. That is what makes us a strategic partner instead of a staffing vendor.

Real Data From Week One

Revenue Cloud gives you real selling data from week one. Price experimentation and elasticity testing stop being board-deck theory and start being something your team actually runs.

Agentic Consumption Monitoring

The usage signal already lives in the system, so the agent watches it continuously. Overburn gets flagged before the invoice argument, and renewals surface before the date.

Case Study · AI SaaS

Bulk Deals, Per-Location Truth

Before

One of the fastest growing AI SaaS companies, fresh off a late-stage nine-figure round, selling into multi-unit property owners and healthcare. Quoting ran through a heavily customized homegrown tool inside their Salesforce environment.

Challenge

Every community or location could carry a different contracted rate, start date, and term, yet customers contract and negotiate their communities in bulk. With no pricing or quoting engine underneath, users spent their time making manual modifications in an unrestricted environment.

Solution

We implemented Revenue Cloud with custom API work: users interact with one quote line per product, and the system extrapolates it into per-location assets tied to the ultimate end location. Each location renews and amends independently while the negotiation stays bulkified at the customer level.

Results

Faster time to quote and less deal-desk involvement in a high-volume selling motion. Communities and their owned products became manageable individually, removing friction from the renewal motion and letting users service their accounts.