Trusted by AI & SaaS teams
First Round Capital.
And companies that struggle to raise are 3× more likely to say they optimized monetization too late. Pricing neglect has a compounding cost.
Most pricing projects take six months and produce a recommendation deck. Ours takes two weeks, is based on your real data + 10,000 previous pricing iterations and produces everything needed to launch.
Our humans are senior pricing operators: ex-Stripe, ex-Figma, ex-Airtable. They own the calls models can't make.
Our agents see every customer, every scenario, every deal at once. Trained on 10,000 pricing changes across 1,200 companies.
Chargemate needed enterprise-ready pricing for buyers like Mercedes-Benz. Here's what shipped.
Atlas gave us flexible, usage-based billing with customer-specific minimums and maximums, exactly what enterprise buyers like Mercedes-Benz needed to say yes.
Six phases. Agents move fast on data. Humans move thoughtfully on decisions.
Connect to your data sources. Build a context graph in under 48 hours.
Run customer interviews. Synthesize qualitative signals into hypotheses.
Generate pricing scenarios. Run revenue simulations against historical data.
Pressure-test finalists with your team. Design the narrative and rollout plan.
Draft pricing page copy, sales deck, objection handlers, and billing spec. Handed to your team on day 14.
Post-launch. Watches whether the outcomes you're charging for actually happened, and produces the evidence trail when a customer disputes an invoice.
Every engagement is staffed by a pod of four. No junior consultants learning on your data.
20 years pricing B2B SaaS and AI. 3x Founder, Ex-Pendo GTM VP. Runs every engagement from kickoff to handoff.
Ex-Pendo and Salesforce. Conducts customer and segment research. Turns transcripts into quantified willingness-to-pay.
Ex-Gusto, Podium, Y Combinator. Designs meter, tier, and contract structures. Formerly pricing at Figma and Airtable.
Narrow, evaluated against real pricing outcomes. Each has a defined job, a measured track record, and an evaluation history.
Runs pricing strategy around the clock. Proposes meters, tiers, and price points. Models 40+ scenarios per engagement, stress-tests each against your historical revenue, and surfaces the three worth a human debate.
Ingests and normalizes usage, CRM, contracts, support tickets, and win/loss data. Builds the queryable context graph every downstream decision runs on. Zero data engineering lift on your side.
Turns every pricing scenario into a revenue forecast your CFO will defend. Maps usage patterns to unit economics, models churn and expansion deltas, and quantifies the cost of doing nothing.
Clusters your customers by usage pattern and contract shape. Surfaces the segments you're systematically underpricing and the ones leaking margin. Finds money hiding in your existing book.
Drafts the deck, the pitch, the ROI calculator, the battle cards, and the objection handlers. Turns new pricing into something your reps can sell on day one.
Builds the customer-facing value story. Translates usage patterns into dollars your buyers can repeat to their CFO. Turns "it's better" into a defensible number.
Reviews enterprise contracts for non-standard terms, pricing exceptions, and margin leak. Flags where your reps are giving away more than they realize.
Checks whether the outcomes you bill for actually occurred. Pulls from CRM, calendar, and product data, then logs the evidence trail behind every charge.
Every engagement ends with everything your team needs to launch, sell, and measure the new pricing.
Production HTML and copy for your pricing page, ready for your team to paste into Framer, Webflow, or your codebase. Mobile states, hover behavior, and objection-handling copy baked in.
Grandfathering logic, cutover sequencing, comp plan impact, churn exposure modeling, and the comms sequence for existing customers. The playbook for moving a real book of business.
Deck slides, battle cards, objection handlers, an ROI calculator, and a 90-second pitch video script. Everything your reps need to start selling on day one.
The outcome definition, measurement method, attribution rules, floors and caps, true-up mechanics, and dispute language. What finance and procurement need to sign an outcome-based deal without renegotiating the model every quarter.
A concrete spec for Stripe Billing, Metronome, or Orb. Meter definitions, tier logic, grandfathering rules, and a migration plan. Hand it to your engineers.
Full product catalog and SKU structure mapped to Salesforce CPQ, DealHub, or Conga. Quote templates, approval rules, and bundling logic, so your reps can quote new pricing the day you launch.
Exception handling, discount authority tiers, approval workflows, and deal desk rules. So the next pricing question doesn't land back on the CEO's desk.
A principal responds within one business day. No SDRs, no automated sequences.
