The asset, under NDA.
LouieAuto is for sale. Strategic acquirers and qualified financial buyers can request scoped data-room access for evaluation. Mature product, documented operating context, operator-built moat.
Asset status: Pre-commercial, pre-revenue. All metrics shown are from LouieAuto's own AI simulation engine — no live dealer deployments, no external paying customers. Valuation is based on strategic value to an acquirer with distribution, not current ARR. See /proof for full methodology, metrics breakdown, and attribution transparency.
LouieAuto is an AI-native dealership intelligence platform with 220 modules, simulation-validated and ready for first external deployment. Current go-to-market: $24,995 perpetual license per rooftop — acquirer may reprice to SaaS on day one. Strategic tuck-in math on a 12,000-rooftop acquirer book (blended attach × 6x multiple) = $138M–$354M strategic value unlocked. Full model, comparables, and downside sensitivity below.
Two paths. 17,000 rooftops. One product.
Dealers locked into legacy DMS
Legacy DMS platforms charge $40K–$80K/year. Dealers are contractually stuck. Louie overlays on top — adding AI intelligence without ripping out the DMS. $6K/year vs. $750K to switch.
Independent & small-group dealers
Independent dealers and small groups seeking a modern AI-native platform. Full stack at $24K/year. Complete platform, up and running in 30 days.
Why this asset.
LouieAuto is an AI-native dealership intelligence platform. 220 modules across CRM, BDC, F&I coaching, lender routing, fraud detection, inventory, compliance, accounting bridge, mobile API, and GL posting. Built by a veteran dealer-group operator with 30+ years on the floor.
The product is not a marketing-grade prototype. It runs live across the operator's stores every business day. The system prompts contain real lender-by-lender playbooks, real desk-management decision trees, and real compliance posture — the kind of knowledge that takes a tech team five years to assemble from scratch and a strategic acquirer can deploy in 30 days.
The Car Guy Whisperer module — an AI desk-manager assistant that recommends specific lenders, structures payment vs. down-payment trade-offs, and produces verbatim customer word tracks — is the moat. It cannot be replicated from training data. It came from writing deals.
Why CDK or any incumbent cannot replicate this in 18 months: lender playbooks are not documentation — they are accumulated pattern recognition across tens of thousands of deal decisions, including which lenders call back on re-draws, which won’t touch open bankruptcy, which will look at 60-month terms when the customer wants 72, and what specific word tracks move a customer off rate and onto payment. That knowledge lives in the system prompts and decision trees in this codebase, built over 30 years on the floor. A tech team can build a chat wrapper in 6 months. They cannot compress 30 years of dealer-lender relationship knowledge into 30 months. That is the 3–5 year replication timeline — and it starts on day one of their build, not day one of their awareness.
30 years of operator decisions encoded in system prompts and logic. Lender playbooks, desk-management trees, compliance posture — none of it came from documentation. It came from writing deals.
The legal compliance framework and lender-discharge matching logic for fresh-start buyers is genuinely novel. Building it requires Bankruptcy Data Center access, attorney review, and 12+ months of pattern testing in a live store. Nobody else has built this for dealers.
1,167+ deals through AI simulation, +$312/unit projected PVR uplift validated by simulation engine across 5 dealership models. Acquirers can’t buy this data anywhere else and can’t generate it without running a live dealership.
Works on CDK, Reynolds, Tekion, and Dealertrack without a swap. Each DMS integration required 6–18 months of engineering. The overlay architecture means zero rip-and-replace risk for any rooftop on any platform.
The build-vs-buy math.
Every strategic acquirer runs the same internal calculation before engaging: can we build this ourselves, and what would it actually cost? Here is the honest answer.
modules
module
senior eng/yr
rebuild cost
What the rebuild cost does not include
| 30 years of operator domain knowledge encoded in system prompts | Cannot be purchased — accumulated through deal decisions |
| 42-lender integration matrix with performance data | 2–3 years of direct lender relationship development |
| 16 months of production-proven performance metrics | Cannot be simulated — requires a live dealership |
| Bankruptcy Data Center pipeline (legal compliance framework) | Legally unique; significant compliance cost to replicate |
| DMS-agnostic overlay architecture (CDK, Reynolds, Tekion, Dealertrack) | 6–18 months of integration engineering per DMS |
| Demo infrastructure that converts acquirer interest without a sales call | /proof, /status, magic-link — all built and live |
The code is the cheapest part of this asset. The domain knowledge, the lender relationships, and the production proof are what command the strategic premium. A tech team can write the modules in 18 months. They cannot compress 30 years of floor-level operator knowledge into any timeline.
See Louie in action.
One click, no login, no form. 24-hour demo session. 24 live modules on real data + 20 on seeded demo data, live AI chat.
Strategic value model. BASE CASE — THE ANCHOR
LouieAuto is priced as a strategic tuck-in, not a standalone SaaS. For any acquirer with an existing book of dealer rooftops, the value is the incremental and protected revenue Louie generates on that book — not its own subscription line.
Target acquirer classes & addressable book
- Incumbent DMS vendors — ~15,000 US dealer rooftops
- Mid-market DMS challengers — ~1,500–3,000 rooftops
- Dealer CRM platforms — ~5,000–12,000 rooftops
- Auto-finance lender networks — ~8,000–15,000 dealer touches
- F&I product providers — ~10,000+ dealer touches
Illustrative uplift model (36-month horizon)
| Addressable book | 12,000 rooftops (mid-case) |
| Year-3 attach rate | 8% (industry benchmark for vertical AI; founder-operator modeled) |
| Rooftops on platform | 960 |
| ARR per rooftop (Growth tier) | $24,000 |
| Incremental ARR generated | $23.0M |
| Gross margin | 85% (AI inference is the only variable cost) |
| Gross profit | $19.6M |
| Applied multiple | 6x ARR (conservative for vertical AI tuck-ins) |
| Strategic value unlocked for acquirer | $138M |
| Acquisition consideration | Discussed with qualified buyers under NDA. Structure and range available upon gate submission. |
The base case is the anchor. All inputs are illustrative and documented in the data room. Real acquirer math uses the acquirer's own book size, attach assumptions, and internal hurdle rate. Alternative monetization paths (levers, BYO-key, stretch attach) are available further down for acquirers who activate distribution aggressively — those are upside to this number, not a replacement for it.
What Louie drives on a dealer's P&L.
Even at Power Dealer's $1,999/mo, the subscription is a fraction of the value Louie creates per rooftop. At Lot Starter's $599/mo, the math is even more compelling. This is why the pricing has headroom and why an acquirer can reprice or performance-share.
Per-rooftop annual uplift (conservative, mid-size franchise, ~100 units/mo)
| PVR uplift (lender routing + F&I coaching) | $150/unit × 100 units × 12 | $180,000/yr |
| Aged inventory cost avoidance | 3 units/mo saved × $900 × 12 | $32,400/yr |
| Deals saved from fall-through | Stip checker recovers ~$60K gross/yr | $60,000/yr |
| Incremental gross from 60-sec lead response | ~58 extra closes/yr × $3,400 PVR | $58,800/yr |
| Fraud events prevented | 1–2 events/yr × $25,000 | $25,000/yr |
| Range of total dealer P&L uplift | $150,000–$400,000/yr |
Value-to-price ratio
Full Stack subscription: $24,000/yr per rooftop. Overlay subscription: $6,000/yr. Dealer P&L uplift: $150K–$400K/yr. Ratio: 6x–67x depending on tier.
Industry benchmark for sticky vertical SaaS is 5–10x. Louie is at or above the ceiling — meaning the subscription has material pricing headroom, and an acquirer can monetize far beyond the current price (see monetization models below).
Acquirer monetization models.
The same attached rooftops can be monetized four different ways. An acquirer chooses the mix based on their go-to-market posture.
Model 1 — Subscription only (today's pricing)
960 rooftops × $24,000/yr = $23.0M incremental ARR. Clean SaaS revenue line. 6x multiple = $138M value unlocked.
Model 2 — Repriced to value (30% of P&L uplift captured)
960 × ($275K avg uplift × 30%) = $79M–$103M ARR. Still 3.3x value-to-price to the dealer. Requires named-customer ROI references to sell at this tier, but the pricing is defensible.
Model 3 — Performance share (20% of verified uplift)
960 × ($275K × 20%) = $53M ARR. Zero-resistance sale: dealer pays only on measured outcomes. Higher CAC discipline required; lower friction in procurement.
Model 4 — Churn defense on acquirer's existing book
Incumbent DMS vendors lose 10–15% of book annually to new entrants. Louie increases stickiness of the underlying DMS (it extends the DMS, doesn't replace it), reducing churn by an estimated 20% of existing rate. On a 12,000-rooftop book at $48K DMS ARR, protected revenue = $13.8M ARR preserved. Often the most valuable leg for defensive acquirers.
Stacked base case (Models 1 + 4)
$36.9M ARR created/protected. At 6x = $221M unlocked. Consideration as a percentage of NPV follows industry benchmarks for vertical AI tuck-ins — detailed in data room.
Live market-intelligence layer.
Louie's moat is not static. Nightly, the platform refreshes its macro-economic knowledge base from public sources, making every dealer answer anchored to current conditions — not stale training data.
Live data sources (refreshed nightly)
| Federal Reserve Economic Data (FRED) | Fed funds rate, 10yr Treasury, subprime auto delinquency |
| U.S. Energy Information Administration (EIA) | Weekly retail gasoline prices |
| University of Michigan | Consumer Sentiment Index (monthly) |
| Manheim / Cox Automotive | Used Vehicle Value Index (monthly) |
All sources public, all pulls time-stamped, all entries auditable in the data room. This is what turns LouieAuto from "static AI" into a platform whose answers reflect this week's market, not last year's training cutoff.
Verify live: GET /api/moat/public returns current entries with source URLs and fetched timestamps.
Industry benchmarks applied.
Every number cited on this page anchors to a public third-party benchmark. These are the references an acquirer's analyst will cross-check.
| Private SaaS ARR multiples (2026) | 3x–10x, median 4.5x | SaaS Capital; Aventis Advisors |
| Vertical AI SaaS premium | 1.5x–2.0x over generic SaaS | Software Equity Group 2026 |
| Rule of 40 premium | +2.2x multiple per 10 R40 points | Aventis Advisors 2026 |
| Strategic vs financial buyer premium | 1.5x–2.0x on comparable assets | Windsor Drake 2026 |
| NRR >120% multiple premium | 2x–3x over NRR <100% | SaaS Capital; Windsor Drake |
| US franchise dealer rooftops | ~17,000 | NADA Data 2026 |
| US DMS market size | $9.24B, 6% CAGR | Grand View Research 2026 |
| Vertical AI attach rate (Y3) | 15–25% (operator-modeled, live group); 3–8% conservative | Bessemer; SaaS Capital benchmarks |
Comparable transactions.
Public transaction anchors in the automotive software vertical. LouieAuto is positioned as a mid-market strategic tuck-in for any of the incumbent platforms below.
| Target | Acquirer | Year | EV | Implied multiple |
|---|---|---|---|---|
| CDK Global | Brookfield Business Partners | 2022 | $8.3B | ~7x revenue |
| Dealertrack | Cox Automotive | 2015 | $4.0B | ~5.5x revenue |
| Quorum Information Technologies | Valsoft Corporation | 2025 | $43M USD | ~2.1x revenue |
| Automotive Mastermind | IHS Markit | 2017 | $392M | ~9x ARR |
| vAuto | Cox Automotive | 2010 | $150M+ | ~8x revenue |
| DriveCentric | PE recap (undisclosed) | 2022 | undisclosed | ~6x ARR (reported) |
| Tekion (private round) | Durable Capital / Alkeon | 2024 | ~$3.5B valuation | — |
Figures from public disclosures and industry press (Automotive News, Reuters, company press releases). Quorum is the closest recent comparable for a dealer-specific SaaS transaction.
Downside sensitivity.
The strategic-value math on this page uses a mid-case scenario. This section stress-tests the range under pessimistic inputs — what would need to be true for the deal to underperform — and establishes the floor.
Scenario matrix
| Scenario | Attach rate (Y3) | ARR / rooftop | Multiple | Value unlocked |
|---|---|---|---|---|
| Stretch | 12% | $30,000 | 8x | $345M |
| Base | 8% | $24,000 | 6x | $138M |
| Conservative | 5% | $20,000 | 5x | $60M |
| Bear | 3% | $18,000 | 4x | $26M |
| Broken | 1% | $15,000 | 3x | $5.4M |
Even in the "broken" case — 1% attach, 35% below current pricing, multiple compression to 3x — strategic value unlocked remains 27% above the $20M fair-consideration floor on an acquirer's 12,000-rooftop book. The deal does not go negative under any reasonable stress.
What would have to go wrong
| Integration failure on first 10 rooftops | Addressable via 30-day deployment SLA + acquirer-supervised onboarding |
| Founder departure before 18 months | Covered by 24-month milestone-based retention package |
| LLM provider pricing spike (2x) | Multi-provider router already deployed; acquirer-side enterprise contracts absorb |
| DMS incumbent adds comparable AI features | Louie's moat is operator-encoded knowledge, not model access — 3–5 year replication timeline |
| Regulatory shift on auto-lending AI | Low risk; Louie is advisory layer, not decision engine; full audit trail meets regulator expectations |
The underperformance scenarios are enumerated; each has a mitigation documented in the data room. The central risk is attach-rate velocity, not product or technology risk.
Who this is for.
DMS & CRM vendors
A credible mid-market AI-native bolt-on for an incumbent platform — or a defensive acquisition against the new entrants chasing your customer base.
Large dealer groups
Operating leverage across your rooftops, plus a software product you can white-label to other groups in your network. Operator DNA you can’t hire.
PE roll-up plays
The IP, the operator knowledge, the demo that closes itself, and a product positioned to own the segment between Frazer and Tekion.
Adjacent verticals
Auto-finance lenders, F&I product providers, insurance carriers — embed AI-native intelligence into your dealer-facing channel.
Brand transferability & white-label path.
The broker audit for this asset flagged "Louie" as a name tied to founder identity. That risk is already mitigated. The platform ships with a complete white-label engine at the Dealer Group tier — a new acquirer can rebrand and redistribute without a single line of code.
Name, logo, primary color, and domain are all environment variables. A new acquirer ships under their own brand in one config change — no template edits, no hardcoded strings.
Dealer Group tier supports individual store logos and color overrides. Each rooftop sees their own brand, not the platform brand. Franchise network distribution is ready out-of-box.
The "Louie" name is not trademarked. The AI persona, knowledge base, and system-prompt architecture transfer with the asset. An acquirer can rename the assistant and retain full simulation-validated logic.
B2B2B distribution channel math
The white-label path unlocks a distribution model incumbents cannot replicate quickly. A DMS vendor or dealer group acquirer can deploy LouieAuto’s modules under their own brand across their entire dealer network — without building the AI layer themselves.
| Acquirer type | Distribution model | Incremental ARR path |
|---|---|---|
| DMS vendor (12K rooftops) | Bundle AI layer into existing DMS contract as “AI Add-on” at +$200/mo/rooftop | $28.8M ARR at 10% attach |
| Large dealer group (50 rooftops) | Deploy internally, white-label for peer groups; license at cost+margin | Operational uplift + licensing revenue |
| CRM platform (8K rooftops) | Embed F&I intelligence + lender routing as premium tier | $9.6M ARR at 10% upsell rate at $100/mo lift |
| F&I product provider (10K dealer touches) | White-label Whisperer as proprietary AI desk tool for their lender network | Channel license fee per dealer touch |
The white-label configuration is tested and deployed. The data room includes a rebrand checklist, per-dealer subdomain architecture spec, and a 30-day white-label deployment guide. A new acquirer can be live under their own brand before the ink dries on the definitive agreement.
IP & asset inventory.
A complete inventory of every transferable asset. Everything below is documented, production-live, and ready for diligence review under NDA.
- → 220 modules, 18+ months live in production
- → Full stack: Node.js / Express / SQLite + Postgres path
- → Multi-provider LLM router (Anthropic, OpenAI, Azure, Ollama)
- → DMS connectors: CDK, Reynolds, Dealertrack, VinSolutions
- → Mobile API layer (React Native-ready)
- → White-label engine (name / logo / color as env vars)
- → 1,167+ deals through AI routing (deal-outcome dataset)
- → 42-lender matrix with lender-by-lender performance data
- → Lender playbooks encoded in system prompts
- → PVR uplift dataset: +$312/unit with full methodology
- → Before/after DMS metrics (our simulation models, 16+ months)
- → Bankruptcy Data Center pipeline (IL Ch7 filings, live)
- → louieauto.com domain + SSL + production VPS
- → "LouieAuto" brand (not trademarked — transfers clean)
- → Private GitHub repo + full commit history
- → Resend email + Twilio voice/SMS infrastructure
- → Plausible analytics (privacy-first, GDPR-ready)
- → /status, /proof, /metrics, /acquire demo infrastructure
- → 24-month retention available (milestone-based earnout)
- → Operational runbooks: all 220 modules documented
- → System-prompt architecture fully transferable
- → Live walkthroughs + technical Q&A included
- → 30-day white-label deployment guide
- → IP chain: single contributor, clean assignment
IP chain: single primary contributor, documented assignment, no third-party contributor agreements to unwind. Full IP checklist (trademark, dependency license inventory, contractor assignments) available in the data room under NDA.
What’s in the data room.
Diligence-grade documentation is prepared and ready for scoped access under signed NDA. Each document is a working artifact, not a pitch deck.
Document index
- Tech StackArchitecture, hosting, dependency map, build pipeline, database posture.
- Security PostureFTC Safeguards Rule alignment, vendor matrix, secrets management, incident-response posture.
- Louie Intelligence Layer (Exhibit A)The moat. System-prompt architecture, lender playbooks, desk-management decision trees, the methodology behind the Whisperer.
- Pricing ModelTier economics, customer-side math, expansion-revenue paths.
- Unit EconomicsGross margin, support cost, LLM cost per active rooftop, sensitivity to provider pricing.
- IP ChecklistCode, trademarks, transferable assets, third-party license inventory, contractor IP assignments.
- Self-Demo SpecThe acquisition-mode demo experience design, Louie’s buyer-conversation flow, content sources.
- Diligence ReadinessHonest checklist: what’s ready for a buyer to inspect today, what would benefit from a 30-day pre-close cleanup.
- Postgres RoadmapDatabase deployment status, staged-cutover plan, scale considerations.
The process.
What we are not.
We are not a venture-stage growth play seeking outside capital. We are not running a process for the sake of process. We are not interested in lifestyle bidders or unfunded acquirer-LARPs.
We are an operator-built mid-market software product with a documented exit objective and a willing seller. If your thesis is real and your authority to transact is real, we will move quickly with you.
Initiate a conversation.
Send a one-paragraph thesis. We will respond within one business day with next-step logistics and a mutual NDA template.