The FleetIQ investment case
Built in the field.
Architected for the market.
FleetIQ is the AI-native operating intelligence layer for waste fleets. It was built inside a real operator, runs on real operating evidence, and turns fragmented systems into decisions an owner can inspect and act on.
PRE-COMMERCIAL
Working product and internal operating proof. Paid external adoption is the next value-creation milestone.
IQEvidence
engineTenant-scoped · certified · auditable
engineTenant-scoped · certified · auditable
Why FleetIQ, why now
The systems are already there.
The operating truth is not.
Dispatch knows what was scheduled. Telematics knows where the truck went. Billing knows what was invoiced. None of them alone explains why margin changed—or what deserves attention today.
Built inside the problem
FleetIQ was created inside a real Charlotte and Raleigh roll-off operator—not from a generic SaaS playbook or a synthetic dataset.
A sharp, underserved wedge
Small waste operators have enterprise complexity without enterprise data teams. FleetIQ gives them a trusted operating layer without forcing a system replacement.
A platform, not a prompt
The product already connects jobs, vehicles, routes, customers, invoices, payments, labor, disposal, maintenance, tickets, and source confidence.
THE WEDGEFind and work the exceptions that change margin.THE PLATFORMBecome the trusted operating-data layer.
AI-native, evidence-first
AI is the interface.
Evidence is the product.
FleetIQ is built for an AI-native operating model, but a language model never becomes the source of financial, routing, safety, or customer truth.
AIInterpret
Explain
Prioritize
Explain
Prioritize
MATHCalculate
Reconcile
Optimize
Reconcile
Optimize
SOURCE
EVIDENCEthe non-negotiable center
EVIDENCEthe non-negotiable center
Deterministic services calculate the business answer.
Models map supported questions and explain completed results.
Ticket extraction preserves the image, confidence, and review trail.
Route solvers handle constraints; AI explains goals and tradeoffs.
Consequential changes require permissions, review, and audit.
More than a concept
A working platform with honest release boundaries.
Investors can credit meaningful software and data infrastructure today without pretending every surface is externally proven or generally available.
IN ACTIVE USE
The operating foundation
- ✓Jobs and customer intelligence
- ✓Docket + Motive data foundations
- ✓Monthly operations and capacity planning
- ✓Historical routes, dwell, and driver evidence
- ✓Fleet maintenance, source data, and Sync Center
BUILT + VALIDATING
The intelligence expansion
- ✓Margin Copilot, Money Finder, and Insights beta
- ✓Weight-ticket extraction and driver workflow
- ✓Market Analyzer and operator economics
- ✓Driver mobile shift, inspection, and route companion
- ✓Controlled workflow and research foundations
MILESTONE-GATED
The next leverage points
- ✓Consolidated Route Intelligence cockpit
- ✓Deterministic shadow route optimization
- ✓Read-only accounting integration
- ✓Additional telematics providers
- ✓Audited, human-approved write-back
Architecture built for trust
Enterprise correctness.
Owner-simple operation.
The moat is not a chat window. It is the tenant-safe data model, source lineage, certified calculations, operating workflows, and durable product logic underneath it.
Tenant scope by design
Tenant identity is derived from trusted request context and enforced at query, cache, API, tool, and interface boundaries—not supplied by model output.
Server-authoritative control
Business calculations and mutations stay on the server with explicit permissions, optimistic version checks, durable jobs, and audit evidence.
Credentials stay secret
Integration credentials are encrypted, write-only from the browser, and represented in reads and audit events only by sanitized status.
AI gets bounded tools
Models receive neither database access nor a generic internal API proxy. Each callable tool has a fixed usage class, permission, tenant boundary, and audit policy.
Raw evidence stays intact
FleetIQ keeps provider records separate from IQ attribution and derived calculations, so an inference never silently rewrites the source.
Honest readiness
The product exposes missing links, stale sources, partial coverage, and blocked capabilities instead of manufacturing confidence from incomplete data.
SECURITY POSTURE
Strong application boundaries exist today. Independent assessment, formal policies, and SOC 2 readiness are planned uses of capital; FleetIQ does not claim certification it has not earned.
A fragmented market with real economic weight
Start with the operators the enterprise stack overlooks.
FleetIQ begins with owner-led roll-off fleets: complex enough to need better intelligence, small enough that they cannot hire analysts and administrators to produce it.
2022 U.S. solid-waste collection employer-firm revenue
2023 U.S. solid-waste collection locations
directional serviceable-location estimate
serviceable recurring revenue before win rate and churn
Establishments by employee count75.8% under 20 employees
The category includes more than roll-off, and establishments are locations rather than unique companies. The wedge is a bottom-up scenario to validate—not a top-down TAM claim.
The compounding asset
Every trusted answer strengthens the operating model.
The long-term advantage is a reusable evidence and decision layer that can serve independent operators, multi-location platforms, and eventually adjacent field-service markets.
Domain truth starts inside the operation.
Fragmented sources become a reusable model.
Metrics, exceptions, and confidence stay inspectable.
Verified value improves the product and the sales proof.
Margin, routes, billing, disposal, fleet, and data confidence.
Common definitions, diligence, integration, and operating cadence.
Reuse the job, customer, crew, asset, travel, and economic model.
Founder-market fit earned the hard way
From scaling technology companies to owning the buyer.
FleetIQ combines hands-on software architecture, growth-company leadership, and direct ownership of the waste operation the product was built to improve.
LendingTree / Tree
Joined through RealEstate.com, helped build LendingTree Autos, led technology across non-mortgage verticals, and later served as Chief Software Architect.
Mortgage technology + scale
Moved into technology and marketing leadership, then broader COO/CTO responsibility while another mortgage operation grew from roughly $30M to $1B in monthly volume.
Vavia + FleetIQ
Acquired a Charlotte and Raleigh roll-off operator, doubled it, learned the operating gaps firsthand, and built FleetIQ to close them.
Founder career, operating-company growth, software ownership, and data rights are subject to normal investor verification and legal diligence.
The financing plan
$2.0M to turn operating proof into repeatable software.
The proposed approximately 18-month plan funds productization, paid external proof, security, and a focused go-to-market motion. It does not fund every roadmap idea at once.
Product, engineering, QA + security$750K
Design partners + customer success$400K
Sales, partnerships + marketing$300K
Cloud, legal + compliance$250K
Runway reserve$300K
THE PROOF THIS ROUND MUST BUY
- ✓5–10 paid design partners unaffiliated with the operating company
- ✓Repeatable onboarding delivered by someone other than the founder
- ✓At least two independently measured customer-value outcomes
- ✓Clean IP, data-rights, entity, and security diligence
- ✓A focused roll-off wedge with proven ACV and delivery economics
Product risk is lower than a normal pre-seed company.
A working platform, real operating evidence, deep founder-market fit, transparent pricing, and a structurally fragmented buyer base already exist.
Internal usefulness must become unaffiliated customer value.
Repeatable onboarding, retention, independently measured outcomes, support burden, software margin, security readiness, and clean IP/data rights remain the core diligence gates.
Take the meeting now
The next round is not funding an idea.
It is funding the conversion.
Convert a working internal platform and years of operating knowledge into focused, secure, repeatable software for an underserved market.
This page is for discussion purposes only and is not an offer to sell securities. Market and financing figures include sourced facts and clearly labeled planning scenarios.