The Method, Atlas

The Problem

Only 6% of executives think their pricing is right.

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.

Trusted by AI & SaaS teams

The Method

Pricing, overhauled in two weeks.

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.

👥 Humans

Judgment is the whole job.

Our humans are senior pricing operators: ex-Stripe, ex-Figma, ex-Airtable. They own the calls models can't make.

Apply judgment to agent-generated scenarios
Interpret qualitative signals from customer research
Design the packaging narrative and sales argument
Lead customer and leadership interviews
Handle stakeholder alignment and rollout

🤖 Agents

Coverage is their whole job.

Our agents see every customer, every scenario, every deal at once. Trained on 10,000 pricing changes across 1,200 companies.

Ingest usage, CRM, contract, and win-loss data
Build a continuous context graph of your business
Simulate hundreds of pricing scenarios against history
Cluster customers into pricing segments
Draft pricing pages, decks, and objection handlers

Case study

What it looks like in practice.

Chargemate needed enterprise-ready pricing for buyers like Mercedes-Benz. Here's what shipped.

Chargemate

EV charging platform · Mercedes-Benz on the buy-side

Atlas gave us flexible, usage-based billing with customer-specific minimums and maximums, exactly what enterprise buyers like Mercedes-Benz needed to say yes.

Bradford Crist

Co-founder & CEO, Chargemate

How humans and agents hand off.

Six phases. Agents move fast on data. Humans move thoughtfully on decisions.

AGENT

Ingest

Connect to your data sources. Build a context graph in under 48 hours.

→

HUMAN

Interpret

Run customer interviews. Synthesize qualitative signals into hypotheses.

→

AGENT

Simulate

Generate pricing scenarios. Run revenue simulations against historical data.

→

HUMAN

Decide

Pressure-test finalists with your team. Design the narrative and rollout plan.

→

AGENT

Assemble

Draft pricing page copy, sales deck, objection handlers, and billing spec. Handed to your team on day 14.

→

AGENT

Validate

Post-launch. Watches whether the outcomes you're charging for actually happened, and produces the evidence trail when a customer disputes an invoice.

The senior pod

Senior operators. Nothing junior about the work.

Every engagement is staffed by a pod of four. No junior consultants learning on your data.

LEAD

Michael Hoy

Principal Strategist

20 years pricing B2B SaaS and AI. 3x Founder, Ex-Pendo GTM VP. Runs every engagement from kickoff to handoff.

Specialty

Sales enablement

Specialty

Narrative

Laura Cruickshanks

Revenue Research Lead

Ex-Pendo and Salesforce. Conducts customer and segment research. Turns transcripts into quantified willingness-to-pay.

Specialty

Research

Specialty

WTP

Seimith Suth

Monetization Architect

Ex-Gusto, Podium, Y Combinator. Designs meter, tier, and contract structures. Formerly pricing at Figma and Airtable.

Specialty

Implementation

Specialty

Usage

The agent layer

Eight specialist agents. One system.

Narrow, evaluated against real pricing outcomes. Each has a defined job, a measured track record, and an evaluation history.

Izzy

Pricing Strategy Director

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.

Trained on

10,000+ changes

Scenarios run

1,800+

Kai

Data Engineer

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.

Trained on

10,000+ changes

Avg nodes

412

Bronte

Finance Engineer

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.

Trained on

10,000+ changes

Forecast accuracy

±4%

◯

Vale

Segmentation Scientist

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.

Trained on

10,000+ changes

Segments found

5–12

◈

Cal

Sales Architect

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.

Trained on

10,000+ changes

Assets per eng.

▽

Ren

ROI Analyst

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.

Trained on

10,000+ changes

ROI models

100+

NEW

✦

Nico

Deal Desk

Reviews enterprise contracts for non-standard terms, pricing exceptions, and margin leak. Flags where your reps are giving away more than they realize.

Status

In beta

Contracts reviewed

240+

NEW

◎

Sage

Outcome Validator

Checks whether the outcomes you bill for actually occurred. Pulls from CRM, calendar, and product data, then logs the evidence trail behind every charge.

Status

In beta

What you get

Production-ready outputs. Not deliverables.

Every engagement ends with everything your team needs to launch, sell, and measure the new pricing.

Pricing page kit

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.

Customer migration plan

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.

Sales enablement kit

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.

Outcome contract spec

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.

Billing implementation spec

A concrete spec for Stripe Billing, Metronome, or Orb. Meter definitions, tier logic, grandfathering rules, and a migration plan. Hand it to your engineers.

SKU & CPQ mapping

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.

Pricing governance playbook

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.

Start here

Have the pricing conversation with someone who has run it before.

A principal responds within one business day. No SDRs, no automated sequences.

Talk to a principal