The Blueprint

Complex Invoicing is a
$10 Billion
Problem Nobody Has Solved

Every industry that bills across multiple parties, multiple contracts, and multiple document types runs into the same wall. Legacy AP software was built for simple invoicing. Enterprise platforms cost $100K and take 18 months. The entire mid-market has been left behind.

Rigby is the AI-native invoicing layer built for the complexity gap.

Talk to Our Team
$10.2B
Invoice automation software market by 2033
12.9%
CAGR growth rate
$3.5B
2024 market value
0
Purpose-built AI platforms for mid-market complex invoicing
The Market Gap

Three Forces Created a $10 Billion Vacuum

Platform Architecture

Embedded Ops + Agentic AI + Compounding SaaS

EMBED

Human-in-the-Loop Operations

Ops Specialist
Map Workflows
Capture Exception Rules

An operations specialist embeds with the customer's team 20 hours/week for 90 days. They learn the tribal knowledge, map the invoicing workflows, document the exception rules, and capture the domain-specific logic that no software demo can extract.

HITLTribal Knowledge CaptureProcess Mining
AUTOMATE

Agentic Orchestration Layer

PDF
Email
EDI / CSV
Image
AI Agent
Clean Invoice

The captured workflows get encoded into AI agents that read invoices in any format (EDI, PDF, email, CSV, image), match line items against contracts and rate cards, flag discrepancies, link compliance documentation, and generate outgoing invoices. Each agent learns from resolved exceptions and gets smarter over time.

RAG PipelineAgentic OrchestrationMulti-Format IngestionAI Transcription
COMPOUND

Compounding SaaS Conversion

Trained Agent
Clone
Deployed to N Customers

Every customer's automated workflow becomes a reusable pattern. A cross-border freight invoicing agent trained on one 3PL can be deployed to the next in days instead of months. The platform compounds: each customer makes the next one faster, cheaper, and more accurate.

Cloud HostedMulti-Tenant SaaSAPI-FirstSOC 2 Path

"Every project Viberr ships feeds a growing library of reusable invoicing configurations, transforming one-off builds into scalable, recurring products."

This is the compounding asset thesis.
Go-to-market

A phased rollout, not a spray-and-pray

The same product fits many verticals. We sequence them by proof and access, so each launch is authentic and well researched. Healthcare comes last on purpose, because compliance has to be airtight first.

Live now

  • Logistics & 3PL

Pilot proven. Active customers, case study in progress. This is where we are today.

Next up

  • Real estate, construction & interior design

Warm network, same product, near-term.

On the roadmap

  • Municipal & public-sector procurement
  • Healthcare

High-value, compliance-heavy. Sequenced deliberately. Healthcare last, until everything compliant is nailed.

We do not serve defense or classified work.

$3.5B
Invoice automation (2024)
$10.2B
Projected by 2033
$44B
AI in logistics (2025)
$549B
AI in logistics by 2033
12.9%
Invoice automation CAGR
Competitive Landscape

Nobody Owns AI for Complex Invoicing

DimensionLegacy AP (Bill.com, AvidXchange)Enterprise (SAP, Coupa)Logistics-Specific (Avantiico, Loop)Rigby
Target customerSMB, simple invoicingEnterprise, $100K+ budgetsLarge 3PLs, requires TMS/ERPMid-market, any industry with complex billing
Invoice complexity1 vendor, 1 PO, 1 invoiceModerate, pre-configured3PL-specific, single verticalMulti-party, multi-format, cross-vertical
Deployment modelSelf-serve SaaS12-18 month implementation6-12 months, requires D36590-day embedded engagement
AI capabilityBasic OCR, rules-basedRPA, pre-built workflowsBilling engine, not adaptiveAgentic AI, learns tribal knowledge
Platform dependencyNone (but limited)SAP or Oracle requiredMicrosoft Dynamics requiredNo platform lock-in
Price point$0-200/mo$100K+ implementation$50K+ implementation$5K entry, $2-5K/mo SaaS
Compounding advantageNoneNoneBilling rules per customerEvery customer makes the next faster
Current Traction

Already Deployed. Already Compounding.

1

Live 3PL deployment: cross-border, 300+ trucks, 9 terminals, US-Mexico

2

Additional prospects in pipeline from direct network referrals

P2

Current delivery stage with first customer, AP automation next

Viberr has been unit-economic profitable since launch

Rigby is built by Viberr, an AI-native software factory founded by a former Microsoft CTO and Deloitte strategist with 25+ years in tech strategy and AI. The founding team includes credentials on a $27B deal, strategy memos quoted by a Microsoft CEO, and standing-room-only presentations at Fortune 50 companies.

The team that built Rigby has been building enterprise AI systems for decades. We are applying that experience to the most underserved billing market in the economy.

Infrastructure Under the Hood
Agentic OrchestrationRAG PipelineHITL VerificationCloud HostedMulti-Tenant SaaSAPI-First ArchitectureSOC 2 Compliance PathAI TranscriptionMulti-Format IngestionAdaptive LearningException RoutingTribal Knowledge EncodingReal-Time ReconciliationCompliance Doc Linking
The Investment Thesis

Software That Compounds Like Content

Every project Rigby ships feeds a growing library of reusable invoicing configurations. A cross-border freight agent trained on one 3PL can be deployed to the next in days. An LTL reclassification engine built for one carrier works for the next carrier with minimal retraining. Each customer's tribal knowledge becomes platform knowledge. Each deployment makes the next one faster, cheaper, and more accurate. This is not a services business masquerading as software. This is a compounding asset that starts as an embedded engagement and converts to recurring SaaS revenue. The more customers we serve, the wider our moat.
$5K
Entry point (paid action plan)
$2-5K/mo
SaaS conversion per customer
90 days
Embed-to-SaaS timeline
For Investors and Partners

Rigby is Raising to Scale the Invoicing Layer

Viberr is raising $750K-$1.5M to scale Rigby's supply operations and agentic layer. If you invest in vertical SaaS, fintech infrastructure, or AI-native platforms for mid-market operations, we should talk.