Funding $7.5M Series A closed — Zenith AI scales next

Verticals E-commerce

E-commerce for merchants and marketplace operators

Through Harmony CVM we build and operate multi-merchant marketplaces end to end — then run them with agents on a company-specific ontology. Catalog, sellers, orders, loyalty, support, and settlements share one executable model of how your commerce actually works.

All verticals

In production

Marketplaces we already build and run

Private and multi-seller commerce launched with Harmony — operated day-to-day with marketplace automation on a shared commerce ontology.

$1M+

Revenue in first 60 days — loyalty marketplace

23k+

Orders from loyalty customers in the same window

30k+

Products live from 250 merchants onboarded

15–45d

Typical time-to-implementation for a new marketplace

Company knowledge

Ontology in. Agents execute

Generic marketplace software still needs tribal ops. We encode how your company sells — then put agents on that graph so launch, onboarding, and day-to-day management compound instead of restarting.

  • Encode the company

    Capture how this brand actually sells — catalog rules, seller SLAs, loyalty burn logic, support playbooks — into a living ontology unique to that operator.

  • Deploy agents on the graph

    Agents onboard merchants, triage tickets, sync inventory, and draft settlements against policy — escalating only when constraints break.

  • Compound institutional knowledge

    Every exception, override, and successful resolution feeds the model. The marketplace gets smarter without rewriting SOPs by hand.

Platform

One-stop marketplace — run by agents

The Harmony CVM surface your operators already know — customized storefronts, merchants, orders, support, analytics, loyalty, gift cards, APIs — with Automata’s ontology and agents doing the work that used to live in SOPs and headcount. Harmony marketplace platform

  • Customized marketplace

    Templates or bespoke UX — backed by the same commerce ontology. Agents keep experience changes aligned with catalog, policy, and brand rules.

  • Merchant management

    Onboard 3P sellers and earn commission. Ontology encodes payment, support, and performance policy; agents run applications, KYC checks, and catalog QA.

  • Order management

    1P and 3P orders on one graph — from cart to payout. Agents orchestrate status, exceptions, and settlement against your company’s operating knowledge.

  • Customer support

    Support policies as code. Agents resolve routine tickets from the ontology; humans take the edge cases — or Harmony ops partners own the queue.

  • Platform analytics

    Marketplace health mapped to entities — GMV, seller quality, loyalty burn, SLA breaches — not a disconnected BI dashboard.

  • Operations outsourcing

    Own the brand; outsource the boring work. Partners and agents execute the same policy graph, so outsourcing doesn’t mean losing institutional knowledge.

  • Influencer features

    Experiences, curated drops, and audience loyalty on the same multi-seller model — agents handle partner onboarding and fulfillment exceptions.

  • Loyalty points

    Points, eligibility, and burn rates as first-class ontology. Agents enforce redemption policy at checkout and keep settlements auditable.

  • Gift cards

    Issue, share, and redeem as policy-governed entities — linked to members, merchants, and ledger events agents can reconcile.

  • API connectivity

    UI or API into the same graph. Headless storefronts and partner systems consume the ontology — agents keep mappings and sync jobs alive.

The problem

Merchant automation is not the same as marketplace infrastructure

An agentic OS for deliveries and returns helps a shop scale. Operators who own multi-merchant marketplaces — brands, creators, card programs, travel platforms — still need a shared model of sellers, catalog, commissions, and customer experience. That is the gap we close.

  • Commerce ontology

    Catalog, inventory, seller, buyer, order, shipment, return, commission, and loyalty points share one model — whether you run a single brand storefront or a multi-merchant marketplace.

  • Policy as code

    Delivery promises, return rules, commission splits, seller SLAs, and loyalty redemptions stop living in tribal ops. They become rules the system can check before an order moves.

  • Operate both sides of the network

    Automate the merchant desk and the marketplace control plane — onboarding, curation, settlements, and post-purchase — on the same ontology instead of stitching another tool per role.

Who we build for

Same platform. Different commerce role

From DTC brands to marketplace owners and loyalty programs — one ontology, tuned per party.

  • DTC merchants & brands

    Checkout, carriers, tracking, returns, and support still sit in separate tools — every new market multiplies ops instead of compounding knowledge.

    • One ontology across catalog, promise, fulfillment, and return policy
    • Simulate a carrier or returns change before it hits live checkout
    • Agents that execute inside your rules — not a black-box autopilot

    Post-purchase that scales with revenue, not with headcount.

  • Marketplace operators

    Owning a multi-seller marketplace means merchant onboarding, curation, commissions, CX, and settlements — far beyond shipping labels for one brand.

    • Shared model for 1P + 3P catalog, sellers, and customer journeys
    • Policy packs for commission, fulfillment SLAs, and seller performance
    • Full-service ops or owner-run — same ontology either way

    A marketplace that compounds merchant network value — not another storefront rebuild.

  • 3P merchants & supplier networks

    Selling into private marketplaces means fragmented listings, inventory sync, and order workflows across owners who each run different rules.

    • Entity graph of marketplace, listing, inventory, and order obligations
    • Reusable mappings into each operator’s policies and APIs
    • Onboard in days, not months — apply once, sell across private channels

    Reach more private channels without a custom integration per deal.

  • Loyalty & points programs

    Card and membership programs want commerce as a redemption surface — but points, merchants, and fulfillment rarely share a durable model.

    • Ontology linking member, points balance, SKU, merchant, and settlement
    • Policy for eligibility, burn rates, and fraud-adjacent constraints
    • Outsource marketplace ops while the brand owns the customer relationship

    Loyalty commerce that launches in weeks and stays governable at volume.

  • Creators & influencer commerce

    Audience is the asset — ops is the tax. Most creator shops stall when shipping, returns, and merchant curation become a second job.

    • Launch a curated marketplace without owning every SKU yourself
    • Encode audience-specific delivery and return promises as policy
    • Offload admin to automated ops while keeping brand control

    Monetize the audience without building a logistics company by accident.

  • Travel & experience marketplaces

    Experiences, tickets, and local inventory behave unlike SKUs — yet operators still force them into generic storefronts.

    • Entities for experience, availability, operator, and guest obligation
    • Policy for cancellation, capacity, and partner payouts
    • Same platform pattern as product marketplaces — tuned to the domain

    Experience commerce that scales like product commerce, without losing the product’s shape.

Position

Beyond the merchant logistics OS

Post-purchase tools unify shipping for a store. We run the full marketplace stack — and claim the hard part: turning each company’s unique operating knowledge into ontology that agents can execute at scale.

  • More than merchant autopilot

    Shipping and returns agents help one brand. We run the full marketplace surface — merchants, commissions, loyalty, support, analytics — with agents bound to company-specific knowledge.

  • Proven in live marketplaces

    Through Harmony CVM we already build, launch, and operate multi-merchant and loyalty marketplaces — ontology and agents against real order flow, not a slide deck.

  • Unique company knowledge, automated

    Every marketplace encodes different rules. Automata turns that institutional knowledge into an ontology agents can execute — so ops compounds instead of resetting with each hire.

Next

Bring us a brand, a marketplace, or a network

Bring a brand, a loyalty program, or a multi-seller network. We’ll encode how you actually operate — then show agents running marketplace ops against that ontology.