Atomic
by Atomic
AI-native supply chain planning that simulates every SKU daily and issues the purchase orders your ERP executes
Atomic is an AI-native supply chain planning platform for companies that make, buy, move or sell physical goods, built by former Tesla planning leaders. It runs a unit-level simulation of purchasing, production and inventory, explains every number through its Nucleus AI interface, and sends approved orders back to the ERP so planners stop working from spreadsheets.
Atomic was founded by Michael Rossiter (CEO), Neal Suidan (CPO) and Jeff Goodrich (CTO), who ran sales and operations planning at Tesla during the 2018 Model 3 ramp, and was incubated at DVx Ventures, the firm of former Tesla president Jon McNeill. It came out of stealth in April 2025 with a $3 million seed from DVx and Madrona, and on September 29-30, 2026 announced a $12.5 million Series A led by Klass Capital and Madrona, taking total funding just above $15 million. The product is a deterministic, unit-level simulation of a company's supply chain at SKU, site, supplier and week granularity. It encodes the customer's planning rules, reruns the whole plan continuously, and produces purchase orders, production and MRP plans, allocations and transfers. Routine POs go out under approval rules the customer sets, while exceptions land in a PO Inbox with the reasoning attached. Nucleus, the AI layer, explains what changed and why, triages alerts, runs scenarios from plain-language requests (the plan recalculates in about a minute), drafts S&OP material and builds new rules; Atomic says Nucleus does not generate numbers itself, and every interaction is logged. The ERP stays the system of record: Atomic connects to NetSuite, SAP ECC and S/4HANA, Dynamics 365 and Oracle, and can sit on top of Kinaxis, o9, SAP IBP, Blue Yonder, Relex or Anaplan, or replace them. TechCrunch reported that DoorDash runs about 90% of DashMart purchasing across hundreds of sites through Atomic, and that ARR has quintupled since the start of 2026. Good Chop, a HelloFresh business, cut inventory from eight or nine weeks to four while more than doubling revenue.
VPs of supply chain or operations at mid-market and enterprise CPG, food, apparel and manufacturing companies whose planning still runs on spreadsheets on top of the ERP.
Purchasing, production and inventory decisions generated and explained daily from one simulation, with planners approving exceptions instead of rebuilding plans by hand.
At a Glance
- Category
- Industry & Government
- Pricing
- Subscription, Contact for pricing
- Target Market
- VPs of Supply Chain, COOs, Demand and Supply Planners, CIOs at physical goods companies
- Deployment
- Cloud-only
- Founded
- 2023
- Headquarters
- Boston, USA
Key Features
- ✓Unit-level supply chain simulation
Models every SKU, site, supplier and week and reruns the full plan continuously, so recommendations are tested before they are applied.
- ✓Automated purchasing with PO Inbox
Generates POs from lead times, minimums, pack sizes and cost, sends routine ones under your approval rules and queues exceptions with reasons.
- ✓Production and MRP planning
Builds production plans by SKU, line, plant and co-manufacturer using BOMs, yields, MOQs and capacity, with locked commit windows.
- ✓Inventory allocation and transfers
Positions and replenishes stock across DCs, 3PLs, stores and channels by site, SKU, size and week to protect in-stock rates.
- ✓Nucleus AI interface
Explains what changed down to the rule and input, runs plain-language scenarios in about a minute and drafts S&OP prep, with every interaction logged.
- ✓Plan of record and scenarios
Versioned plans with approvals let teams compare scenarios against the plan of record and audit every manual override.
Capabilities
Use Cases
- •Autonomous replenishment purchasing
DoorDash's DashMart routes about 90% of purchasing across hundreds of locations through Atomic, with planners handling only exceptions.
- •Inventory reduction without stockouts
Good Chop cut inventory on hand from eight or nine weeks to four while more than doubling revenue.
- •Faster S&OP cycles
Planners ask Nucleus what changed since last cycle and get scenario comparisons and draft S&OP material instead of rebuilding spreadsheets.
- •Planning layer over legacy suites
A company keeps Kinaxis, o9 or SAP IBP in place and adds Atomic's simulation and explanations on top, migrating jobs one at a time.
Ideal For
Best For
- ✓CPG and direct-to-consumer brands managing inventory across DCs, 3PLs and retail channels
- ✓Food and grocery operators where overstock means spoilage, such as DashMart and Good Chop
- ✓Manufacturers that need MRP and production plans tied to BOMs, yields and co-manufacturer capacity
- ✓Teams that want an AI planning layer over NetSuite, SAP, Dynamics or Oracle without replacing the ERP
Not Ideal For
- ✗Companies that need a fast plug-in: the full purchasing, production and allocation rollout takes four to six months and master data cleanup is part of onboarding
- ✗Services or software businesses with no physical inventory, since the model is built around SKUs, sites and suppliers
- ✗Buyers who require published pricing or self-serve trials before talking to sales
Deployment
Market Analysis
Pros
- ✓Named, checkable customers including DoorDash DashMart and HelloFresh's Good Chop
- ✓Explainable output: numbers come from a deterministic engine and overrides are audited
- ✓Keeps the ERP as system of record and integrates with major ERPs and planning suites
- ✓No per-seat pricing, so adding planners does not raise the bill
Cons
- ✗Full deployment takes four to six months, and most customers integrate seven or more data sources
- ✗Small, young vendor (about $15.5M raised) competing with entrenched suites like Kinaxis, o9 and Blue Yonder
- ✗Outcome figures such as 20%+ inventory reduction and 75% planning time saved are company-reported, and no valuation or revenue numbers are disclosed
- ✗No pricing published and no G2, Capterra or Hacker News reviews found to confirm user experience
Pricing
Annual subscription
Contact for pricing
- ✓Scales with cost of goods and deployment scope
- ✓No per-seat fees
- ✓Purchasing, production/MRP, allocation, S&OP and demand modules
- ✓Dedicated environment, single-tenant available
- ✓99.9% uptime SLA
List pricing is not published. Atomic sells an annual subscription priced on cost of goods and deployment scope rather than seats, and says it quotes a price on the first call. Budget for implementation time too: about 30 days for the S&OP layer and four to six months for full purchasing, production and allocation.
Security & Compliance
Connect
Sources
This page was written from 5 sources, 3 on domains other than atomic.supply.
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