Atlas · Pricing & packaging for AI-native companies

Pricing is the lever you haven't pulled.

Most AI companies set pricing once and leave it. It's the biggest compounding advantage you're not acting on, and the one nobody on your team has time to own.

Send your pricing page for a teardown →Join the Atlas Accelerator
The shape of the work
What we do

A complete launch-ready pricing package.

A senior pricing pod and a team of agents redesign your pricing and packaging. Strategy, meters, tiers, contracts, page copy, sales deck, billing spec.

Who we serve

Early stage AI native companies aiming for or experiencing rapid growth.

Teams whose pricing is costing them ARR they'll never get back, and who don't have time to fix it themselves.

How fast

Fourteen days, kickoff to launch-ready.

Your team launches from there. No 90-day engagements, no slide decks that sit on a shelf.

The real cost

Every month your pricing is wrong is ARR you'll never get back.

Pricing that fit you a year ago is bleeding revenue today. Our engagements average +38% ARR lift in year one. Fix it before your next round.

2wks
Kickoff to complete pricing package
+38%
Average ARR lift across engagements
1,200+
Companies in the Atlas pricing dataset
8hrs
Average time a SaaS company spends on pricing, ever via Kyle Poyar
Trusted by AI & SaaS teams
500 GlobalAccoilAikidoAirtableEGIOXLoyee.aiNexWindsurfPendoHiggsfieldAisleShuckerVCArchitectUiPathWayfoundZendesk500 GlobalAccoilAikidoAirtableEGIOXLoyee.aiNexWindsurfPendoHiggsfieldAisleShuckerVCArchitectUiPathWayfoundZendesk
Why not just prompt it

Any model can generate a pricing framework.
Ours is trained on 10,000 that actually ran.

A model gives you a framework. Ours has seen what happened to conversion, churn, and expansion when 1,200 companies actually shipped.

One that actually ran ↓
EGI · AlfredAI agentsCredit-based pricing
42% MoM
revenue growth after the credit model rebuild
3 model iterations · 4 months · 1 GTM unlock

Atlas turned pricing from a bottleneck into our fastest growth lever. We ran three model iterations in four months — each lifted conversion 15%+ — and the GTM team owns it end-to-end without an engineering ticket in sight.

Shikhar Mishra
Shikhar Mishra
Co-founder & CEO, Alfred.sh
Read the full teardown →
The neglect

Pricing gets 8 hours of attention in a company's lifetime.

That's the average, per Kyle Poyar. Founders who struggle to raise are 3x more likely to say they monetized too late (First Round Capital).

What focused attention unlocks ↓
Chargemate · 500 GlobalEV chargingMercedes-Benz

Atlas gave us the flexibility to balance predictability for buyers like Mercedes-Benz with real upside for us. Usage-based with custom minimums and maximums, plus the ROI frameworks our reps actually run — pricing stopped being the bottleneck and became the wedge.

Bradford Crist
Bradford Crist
Co-founder & CEO, Chargemate
Read the full teardown →
$250k
new revenue in 2 months after the packaging rebuild
$1M+ net new ARR tracking · enterprise wedge unlocked
The team

Senior humans. Specialized agents. One pod.

Humans own judgment: packaging, narrative, the argument. Agents run the analysis underneath. You get the output of both.

HUMAN · LEAD
Michael Hoy
Michael Hoy
Principal Strategist
20 years pricing B2B SaaS and AI. 3x Founder, Ex-Pendo GTM VP. Runs every engagement from kickoff to handoff.
StrategyPackagingSales enablementNarrative
HUMAN
Laura Cruickshanks
Laura Cruickshanks
Revenue Research Lead
Ex-Pendo and Salesforce. Conducts customer and segment research. Turns transcripts into quantified willingness-to-pay.
ResearchWTP modelingCustomer validation
HUMAN
Seimith Suth
Seimith Suth
Monetization Architect
Ex-Gusto, Podium, Y Combinator. Designs meter, tier, and contract structures. Formerly pricing at Figma and Airtable.
ImplementationUsage pricingContracts
Usage-based pricing Outcome-based contracts AI token economics Packaging narrative Seat → usage migration Enterprise contracts Willingness-to-pay Meter design Usage-based pricing Outcome-based contracts AI token economics Packaging narrative Seat → usage migration Enterprise contracts Willingness-to-pay Meter design
How it works

Two weeks. Three phases.
One complete pricing package.

Every engagement follows the same arc, adapted to your data and your stage.

PHASE 01 · DAYS 1–4

Ingest & map

Agents ingest your product usage, CRM, contracts, and win/loss data. Humans run 5–7 customer interviews and build your pricing context graph.

→ Connect Segment / Amplitude
→ Import HubSpot contracts
→ 5 customer interviews
✓ Context graph: 412 nodes
PHASE 02 · DAYS 5–9

Model & design

Agents propose meters, tiers, and price points, simulated against your historical data. Humans pressure-test, refine, and write the packaging narrative.

→ 14 pricing scenarios
→ Revenue simulation (-12% to +41%)
→ 3 finalist models
✓ Recommended: usage + tier
PHASE 03 · DAYS 10–14

Package & hand off

Production-ready pricing page copy, sales deck, objection handlers, and billing implementation spec. Your team launches from day 15.

→ Pricing page copy + HTML
→ Sales deck + enablement kit
→ Stripe / Metronome spec
✓ Ready for your sprint
Get started

Two ways to start.

Send your pricing page for a free teardown, or join the next Atlas Accelerator session.

Send your pricing page →Reserve your Accelerator seat