OrderwiseInvestor presentation Pre-seedDownload deck

Orderwise / Investment thesis

Commerce Intelligence Infrastructure

Orderwise transforms fragmented product data into governed, agent-ready intelligence for search, assistants, marketplaces, and commerce agents.

Pre-seed$1M financing planWorking product prototype
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02 / Market shift

A new interface for buying.

Product discovery is expanding from keyword search and storefront navigation into conversational AI, AI-assisted buying, and autonomous commerce. Existing ecommerce remains essential; a new discovery and transaction interface is emerging alongside it.

Established interfaces

Search.
Browse.
Compare.

Keywords and storefront navigation

Emerging interfaces

Ask.
Evaluate.
Delegate.

Assistants and commerce agents

The opportunity: make product facts reliable wherever the buyer starts.

03 / Problem

Many systems. No shared truth.

Across systems, incomplete attributes, inconsistent terminology, missing context, and duplicate records leave commerce teams and agents without an authoritative product model to trust.

ERP

Transactions, inventory, operational records

PIM

Product content management

Ecommerce

Storefront presentation

Supplier feeds

Inconsistent source information

Spreadsheets & APIs

Disconnected supplemental data

04 / Architecture

From fragmented data to governed intelligence.

Commerce intelligence infrastructure that complements existing commerce systems with a platform-independent intelligence layer.

Source systems → intelligence pipeline → canonical model → commerce channels
ERPPIMEcommerceSupplier feedsCSVAPIs
  1. 01Ingest
  2. 02Normalize
  3. 03Enrich
  4. 04Classify
  5. 05Govern
Orderwise · governed product intelligenceCanonical Product Model

Normalized facts · enrichment · governance · traceability

AI searchMarketplacesAssistantsCommerce agents

05 / Product today

A working prototype. A clear path to production MVP.

The Operations Center prototype and public interactive demo make the product tangible. Commercial validation is the next step: Orderwise is pre-revenue, with no signed pilots yet.

Canonical Product Model

Implemented

Initial connector strategy

Established

DynamicWeb connector

Approximately 80% complete

Overall MVP

Approximately 65–75% complete

Shopify connector

Planned next

Working Operations Center prototype · Completion estimates are management assessments, not production-readiness guarantees.

Explore the working demo Contact the founders

06 / Initial market

Complex catalogs. Public discovery.

Start with B2B manufacturers and distributors whose product information is publicly discoverable, even when pricing, quoting, or ordering requires authentication.

01 / Initial beachhead

B2B manufacturers & distributors

  • Buyers research products before signing in.
  • Technical attributes must be accurate and comparable.
  • Operational systems fragment the product record.
  • AI search and assistants need normalized, authoritative facts.
02 / Follow-on wedge

Complex Shopify merchants

A scalable distribution opportunity after the enterprise product is validated.

03 / Later enterprise expansion

Fully private and deeply authenticated catalogs.

Gated pricing does not make public product discovery irrelevant.

07 / Business model

Recurring platform value.

Planning assumptions, not established revenue or proven unit economics. Implementation and integration services are priced separately.

Initial planning ACV
$42,000 / year

Plus separate implementation and integration services.

Planned starting price
$400 / month

Planning assumption for the follow-on offering.

Longer-term expansion: usage, additional connectors, enterprise capabilities, and channel partnerships.

08 / Go-to-market

Earn the right to scale.

Founder-led selling into complex B2B catalogs, drawing on founder and industry relationships, commerce implementation partners, and carefully selected design partners.

  1. 01

    Founder-led design partners

  2. 02

    Measurable pilot

  3. 03

    Recurring subscription

  4. 04

    Repeatable vertical playbook

  5. 05

    Platform and channel expansion

Pilot measurement plan: agree baselines for attribute completeness, normalization quality, review effort, and channel output usability. Establish success criteria with each partner before launch.

Shopify distribution follows enterprise validation. No design partner or pilot is currently signed.

09 / Alternatives

A distinct role in the commerce stack.

Customers have alternatives. Orderwise brings multisystem normalization, AI-assisted enrichment, governance, traceability, and agent-ready outputs around canonical product intelligence.

Category-level positioning; individual products and implementations vary.
CategoryTypical responsibilityOrderwise focus
Traditional PIMManage product contentCanonical intelligence across source systems
Ecommerce platformsOperate the storefrontPlatform-independent product intelligence
AI search toolsImprove discovery and retrievalGovern the product facts feeding discovery
Catalog enrichment servicesImprove content and attributesOngoing normalization, review, and traceability
Custom integration projectsConnect specific systemsA reusable model, connector knowledge, and workflows
OrderwiseGovern product intelligenceNormalize → enrich → govern → agent-ready outputs

10 / Defensibility

Depth compounds with deployment.

The defensibility thesis rests on domain architecture and integration depth. These advantages must be earned through real catalog deployments.

01

Canonical Product Model and domain architecture

02

Connector and normalization knowledge

03

Governance and human-review workflows

04

Product intelligence accumulated across catalogs

05

Workflow and integration depth

U.S. provisional patent filed March 25, 2026 Provisional filing; not an issued patent.

11 / Team

Commerce, engineering, and commercial execution.

Three complementary areas of responsibility, focused on bringing product intelligence into operational commerce environments.

Steve Foley

Co-Founder & CEO

Product vision, commerce systems, market strategy, category development

Josh Weeks

Co-Founder & CTO

Architecture, engineering, ERP/commerce integration, connectors, security

Rob Ashe

CFO / CRO / CBO

Finance, fundraising, commercial strategy, enterprise sales, partnerships

12 / Financial plan

The scale we are planning toward.

Management planning assumptions — company is currently pre-revenue.

RevenueEnding ARRUSD millions · shared scale, $0–$22M
2027$268KRevenue$426KEnding ARR
2028$1.405MRevenue$2.083MEnding ARR
2029$4.222MRevenue$5.761MEnding ARR
2030$9.406MRevenue$12.150MEnding ARR
2031$17.354MRevenue$21.358MEnding ARR

An ambition to become recurring infrastructure for product intelligence across catalogs and channels. These assumptions are neither contracted revenue nor validated forecasts.

13 / Financing

$1M to move from prototype to paid validation.

$1M SAFE · Terms to be finalized with the lead investor · Target runway: 12–15 months

Use of funds

  • 40%Product development
  • 25%Engineering and team
  • 20%Go-to-market
  • 10%Operations and legal
  • 5%Reserve

Capital milestones

  1. Harden the core platform
  2. Complete the initial connector
  3. Build Shopify readiness
  4. Recruit and launch qualified paid pilots
  5. Convert validated pilots into recurring revenue
  6. Establish a repeatable initial-market playbook
  7. Prepare for the next institutional round
Explore the working demo Contact the founders