Defenceman: Parallel Ice (Non-Canonical Saga) - Cover

Defenceman: Parallel Ice (Non-Canonical Saga)

Copyright© 2025 by Cold Creek Tribute Writer

12. Rising Profiles & Brewing Standoff

Coming of Age Story: 12. Rising Profiles & Brewing Standoff - Defenceman: Parallel Ice (A Non-Canonical Saga) builds on Cold Creek’s Defenceman series while offering a new interpretation. Michael Stewart’s journey extends beyond the rink into intrigue, modeling, and the launch of his AI: Aegis. From Ann Arbor to London, Japan, and Spain, the story explores honor, love, betrayal, and resilience. Rivals and allies test his limits in the arena, courts and shadows—where triumph demands sacrifice and heart both on and off the ice.

Caution: This Coming of Age Story contains strong sexual content, including Romantic   Celebrity   Sports   Interracial   White Female   Oriental Female   White Couple   Royalty  

Mid – Late May 2010

Northern Edge

Mid-May in Ann Arbor tastes like thawed metal and cut grass, a campus resetting itself after the noise of spring. I lace my skates in the half-light at Yost, no music or chatter, just the groan of the boards as if the rink itself is waking with me. Voluntary hours mean no whistle, no compliance clipboard, just open ice, where the only rule is the one I set. I drive hard lines, blue line to blue line, legs burning until the breath in my chest stops sounding like protest and starts sounding like rhythm. The scoreboard is dark. I don’t need it. The NCAA has no say over me right here, right now.

The morning hums with code still running in the back of my mind. Today isn’t just another workout—it’s the morning my climbing game goes live. To the world, it’s a physics-driven simulator; to me, it’s something quieter, a proof of concept hidden in plain sight. The engine draws on routines I’ve been refining for months—adaptive systems meant to learn from player motion, terrain feedback, and error correction. No one else will notice, but I will. Every climb will feed the framework, every motion teaching the code how to think. I’m proud, nervous, and oddly protective; what’s launching today isn’t just a game—it’s a glimpse of the intelligence I’m building underneath.

By ten o’clock, the texts start landing. Mitsy again—this time with a link and three exclamation marks I can practically hear vibrating through the screen. Distribution locked. Northern Edge, my climbing game born from ice and algorithm, is officially live. The name’s a nod to my Canadian roots, but the reach is global now. Mitsy, Kim, and Bill have been grinding for weeks—conference calls slicing through time zones, translators cycling shifts like athletes, contracts drafted and redrafted at two in the morning. They’ve taken it personally. Mitsy is proving she can move the Matsuda network into global commerce; Kim is showing the Yamamotos that precision can also be ambition. For Mitsy and Kim, Northern Edge isn’t just a launch—it’s a leadership test.

Bill Dixon handled the part no one else could—ownership. He led the negotiations with Steam personally, calm and relentless, every clause constructed like armor. Six rounds of revisions, four late-night calls, and one condition he refused to yield: “All intellectual property and data remain the sole property of Michael Stewart.” Steam distributes, but we own—no backend rights, no analytics siphons, no open telemetry. When the contract cleared, Bill texted me one line: You paid a premium, but you get to keep all rights and data. It’s a clean legal victory, although costly.

Steam anchors digital distribution across North America (NA) and Europe, the Middle East, and Africa (EMEA), taking a thirty percent cut for hosting, regional pricing, and storefront visibility. It’s steep but fair—reach at that scale costs something, and retaining full creative rights is worth every cent. Mitsy manages the Matsuda Industrial Group’s network across NA and Latin America (LATM), overseeing retail logistics and boxed-copy distribution through established supplier channels. The Matsuda family’s Brazil office, long connected to the country’s large Japanese community, coordinates Latin American operations and handles supply-chain management through São Paulo and Mexico City, ensuring cultural alignment and rapid fulfillment throughout the region.

In EMEA, the Duke of Castile’s logistics consortium takes the lead, leveraging his shipping fleets and Royal Technologies’ warehousing to handle both customs and retail placement. Mitsy provides operational support, coordinating inventory flow and ensuring parity in pricing and packaging across all regions.

Kim oversees Asia Pacific (APAC), securing digital rights through Yamamoto’s network and two regional PC-game portals, tailoring localization, pricing, and compliance for local markets. The Royal Technologies Trust manages digital storefronts and promotional partnerships within EMEA, ensuring regional visibility and adherence to EU content standards.

It’s a patchwork empire, but it works. Northern Edge reaches where Steam doesn’t—Kim even launched a global portal for players outside official territories, keeping the ecosystem open while the world catches up.


By noon, the rollout numbers start coming in—NA is tracking twelve percent above forecast, EMEA steady, and both APAC and LATM trending ahead of projections. The servers hum steadily —no lag, no crash—proof the hybrid architecture is holding. Our primary data centers sit in Ann Arbor and Tokyo, mirrored through Madrid under the Duke’s logistics consortium, with a secondary node now active in São Paulo to anchor LATM operations. Overflow routes quietly through rented Amazon Web Services Elastic Compute Cloud (EC2) clusters masked by shell accounts. Amazon Web Services (AWS) is barely publicized yet, but Bill found a way to use it as an invisible safety net. On paper, it’s analytics support; in truth, it’s the first layer of my framework learning to breathe.

I keep my distance once the game goes live—not because I’ve broken a rule, but because everything about this sits in that gray zone the NCAA loves to hate: a project built on my own code, financed through private partners, yet quietly sustained by modeling and the visibility that comes from wearing Michigan colors. Perfectly legal on paper, ethically debatable in spirit. They’d call it self-promotion; I call it discipline. The work belongs to me, the data to the network, and if I respect that line, it stays outside their reach.

The game isn’t hockey, doesn’t use my image, and I’m not selling jerseys or autographs, but my name still appears quietly in the developer credits. That alone will be enough for the NCAA to circle. I can already picture the phrasing—improper benefit derived from athletic notoriety. The irony is they’ll never see what’s at stake. The only thing connecting the game to me is a silhouette that moves laterally, the way I do when I skate—close enough to sting, not enough to prove.

Before I stepped back, I left Mitsy and Kim a handful of sketches—algorithms, system diagrams, network-flow notes—tucked into a shared folder titled what if. I didn’t tell them what to do; I just mapped what might work if someone brave enough connected the dots. They did the rest. Mitsy found a small cybersecurity startup in Ann Arbor—three grad students moonlighting from the engineering department—who secured the first node configuration. Kim used Yamamoto’s robotics division to source mirrored servers in Tokyo and brought in a freelance systems engineer from Osaka who’d just left Sony. Together, they made it real. The lattice scales elastically now, hidden in plain sight, a performance network feeding movement data into Aegis without anyone realizing what they’re teaching it. It’s a prototype wearing a game’s skin.

We priced Northern Edge at $49.95 USD. Steam takes its thirty percent cut off the top for NA and EMEA, roughly fifteen dollars a copy, before the rest flows through. That leaves about thirty-five net per sale, from which approximately ten covers bandwidth, production, and maintenance. If sales hold pace—150 thousand units in six months and 400 thousand by the one-year mark—the first-year profit clears just over ten million after Steam’s fee and operating costs. From that, fifteen percent goes to the Matsudas for packaging, marketing, and operational management across NA and LATM; fifteen percent to Yamamoto Industries for software integration and robotics telemetry in APAC; and ten percent to the Duke’s Castile Technologies and Royal Technologies Trust for logistics and digital hosting across EMEA. That leaves around six million in retained earnings—my share and Aegis’s seed capital rolled into one. Thanks to the Queen’s grant exempting me from Commonwealth taxes, roughly a third stays where it belongs: fuel for the next stage. Soon, I’ll need a dedicated IT team and hardened infrastructure. For now, it holds—but the data load is climbing faster than anyone expected.

By mid-afternoon, the messages flood in. Emma: Proud of you—this feels alive. Kristen: You built something that moves like it’s human. Molly calls from London, laughing, promising to toast the Canadian who made computers romantic. Even the Queen’s secretary sends a note—Her Majesty recognizes the honorable cooperation between allied partners. For once, the words honor and business don’t sound like opposites.

Then my phone detonates. Notifications stack faster than I can swipe. The Waters Twins—Becky and Vicky—have just posted on Facebook. A split-screen video of them playing Northern Edge fills my feed: Becky laughing as she reaches the summit, Vicky brushing hair from her face, and leaning toward the camera. “If the climb feels this good,” she says, voice low and teasing, “wait until he reaches our twin peaks.” The camera lingers a second too long on her breasts before she laughs and cuts the feed. The caption reads, Still climbing, still thinking of you. It hits a million likes in under an hour, two hundred thousand shares before dinner, and comment threads that glow like live wires. The tabloids spin it instantly—Is Stewart About to Summit the Twins, AGAIN? —while gaming blogs call it the sexiest marketing accident of the decade.

My phone lights up again. Emma: Oh my God, you’re dead. Kristen: Do you realize half of Hollywood thinks you’re dating twins? Molly adds, Good luck explaining this to anyone with morals. I just chuckle and let it go. I should be furious. I should be cautious. Instead, I just watch the analytics surge—APAC up twenty percent, EMEA fifteen—each spike a pulse in the veins of something I started and no longer fully control.

A new message flashes—private, direct. The name stops me cold. Elizabeth Ford.

Michael,

I saw the video. I can imagine how it feels to have your private life turned into someone else’s headline again. You don’t owe anyone an explanation. You never did. I hope the noise fades quickly and that you have at least one quiet evening where the world isn’t dissecting your next step. The game looks extraordinary. I mean that sincerely.

— E.

I read it twice. No barbs, no blame—just calm words and a trace of something that almost sounds like pride. For a long moment, I let myself believe she means it. Maybe the frost between us isn’t permanent. Perhaps this is her way of saying she still sees me. It’s a small thing, but it feels like the first breath after holding one too long.

By evening, Northern Edge trends across all four regions. Analysts call it a benchmark for physics-based realism. Reviewers call it mesmerizing and quietly revolutionary. Underneath the noise, the Aegis test grid hums—silent, invisible, alive. Mitsy and Kim schedule follow-up meetings with Tokyo, São Paulo, and Madrid. Bill starts filing early patent claims under holding names, building legal walls before anyone knows what’s inside. The work doesn’t stop—it just deepens.

When the house finally quiets, I sit by the window, laptop cooling beside me, watching the streetlights carve circles into the night. Pride and unease twist together like wire. The game is rising. The press is rising. The pressure is rising. So am I. I hold my palm to the glass and whisper it softly, so it belongs to me first. “Every victory feeds my fire.”

The laptop pings softly from the desk behind me. A single line scrolls across the Aegis debug window—data convergence rate anomaly detected. No crash, no error. Just a smooth curve recalculating on its own, faster than it should. I stare at it for a long moment, heartbeat matching the pulse of the cursor. I didn’t write that subroutine. Aegis just taught itself something.


Momentum and Consequence

Morning breaks hard and silver, light scraping the frost off the windows. My inbox is a blinding red before breakfast—articles, tags, interview requests, contracts I never signed, suddenly “under review.” TIME Tech: Student Hacker to Visionary. Nikkei Digital: Northern Edge Redefines Climbing Physics. It should feel good. Instead, it feels like exposure. I can practically hear the analysts drawing lines from hockey to code to profit, sketching out how a twenty-year-old just became an acquisition target.

Bill calls at eight sharp. He doesn’t waste time.

“Mike, we’ve got noise coming out of the University. Legal and the Computer Science Department are whispering about Aegis—trying to float the idea that they might hold partial IP ownership.”

My stomach tightens. “On what grounds?”

“None that makes sense,” he replies dryly. “They’re claiming faculty influence, lab access, institutional affiliation—the usual academic reach. It’s bullshit. My guess is someone outside pushed this, maybe Ford or one of their compliance proxies. The timing’s too perfect for coincidence.”

I pace the room, phone to my ear. “You think they’ll file?”

“No,” he says, tone turning deliberate. “They won’t dare once they see what I’ve prepared. I already drafted a rebuttal with documentation—every receipt, timestamp, and network log showing that Aegis was built entirely on privately owned systems. You separated the architecture months ago—no University servers, no grant funds, no shared codebase. You did it by the book, and I made sure the paper trail is airtight.”

“So, what’s the next move?”

“We meet with them,” Bill says. “Dean Morrison, University Legal, and Tech Transfer. Thomas Rourke will sit in, as his NCAA background gives the conversation weight if anyone decides to escalate it into a compliance issue. You’ll answer questions briefly and let me handle the rest. The goal isn’t to argue; it’s to end the conversation before it starts.”

I exhale slowly, feeling the weight shift from frustration to focus. “Got it.”

Bill pauses, softer now. “Michael, this isn’t about the University. It’s about people realizing you’ve become financially and intellectually independent. That scares them. You don’t need their permission or their scholarship anymore, and the moment a student stops being manageable, someone starts calling lawyers.”

When the call ends, I stand at the window, watching the cold morning light stretch across campus. Independence—earned, not gifted—was supposed to be freedom. Now it feels like a spotlight. I know Bill is right, and I count my blessings that I have Kiyomi by my side to guide me in the right direction.


The meeting takes place the next afternoon in the dean’s conference suite, a rectangular room built for polite confrontation. Framed patents line the walls like trophies, each one a reminder that the University knows how to claim other people’s brilliance. Bill sits to my left, precise as ever—dark suit, calm posture, a legal scalpel disguised as a man. Across from us: Dean Morrison, two university lawyers, and a compliance liaison who keeps pretending her notes are more important than her nerves. Near the door stands Thomas Rourke—silent, unblinking, ex-military, still visible in every line of his stance.

Morrison clears his throat. “Mr. Stewart, congratulations on the success of Northern Edge. It reflects well on the department.”

“Thank you,” I say, keeping my tone neutral.

“However,” he continues, “there have been inquiries regarding another project—one referred to as Aegis. Some faculty believe it may have originated from University research channels. Before this becomes ... complicated, we wanted to clarify ownership.”

Bill folds his hands on the table. “I’m glad you raised that, Dean. The answer is simple. The University owns none of it. Aegis was conceived, coded, and maintained exclusively on Mr. Stewart’s personal systems: no faculty oversight, no research assistants, no use of departmental infrastructure or grant money. You’ll find all documentation in this packet—source control logs, hardware purchase receipts, and notarized development records. The IP is solely his.”

One of the lawyers clears his throat. “You understand, of course, the University has obligations—”

“—to respect its students’ rights,” Bill interrupts smoothly. “And to avoid false claims that could be construed as institutional overreach. This rebuttal will be filed officially with your office by tomorrow morning. You’ll find it comprehensive.”

The silence that follows is heavy but clean. Morrison reads a few lines from the folder, expression tightening. Rourke shifts slightly by the wall, a quiet sentry.

Bill rises first, signaling the meeting’s end. “Unless you have additional questions, gentlemen, we’ll consider this matter closed. Any external inquiries—NCAA, press, or otherwise—should be routed through my office. You’ll find my credentials attached.”

Before anyone can respond, Rourke leans forward, his tone clipped and unmistakably final. “For clarity, the Cease and Desist I served on the University earlier remains in full effect. It expressly covers Aegis and any other intellectual property Mr. Stewart has developed while enrolled here. That means no faculty, department, or administrator is authorized to discuss, disclose, or imply ownership of his work in any forum. Consider this your reminder that you are still under a gag order until further notice.”

Bill nods once, gathering his folder. “Good. Then we’re done here.”

No one argues. Morrison mutters something about cooperation, but the tension already feels broken. Rourke opens the door, letting the late-afternoon light spill in. As we leave, he gives me a small nod, the kind that says handled.

Bill adjusts his cufflinks, glancing toward me. “That’s one fire contained. But it won’t be the last.”

“I know,” I say quietly. “They’ve started noticing what I’m building.”

He smirks. “Then give them something worth noticing. Control the story before someone else writes it.” Get Melissa involved to control the story.


That night, back in my condo, I can’t shake Bill’s words; Control the story. He’s right. The University will stall, the NCAA will posture, and the press will invent its own version of Aegis if I don’t claim the narrative first. I pull out my phone and call Melissa.

She answers on the second ring, voice sharp and alert despite the late hour.

“Tell me you’re ready to make noise,” she says.

“I don’t need noise,” I reply, pacing. “I need precision. We have to frame Aegis before the rumor mill does. Draft a media strategy—something that focuses on ethics, independence, and transparency. It needs to look inevitable, not defensive.”

Melissa doesn’t hesitate. “Understood. I’ll start assembling a release matrix—print, digital, broadcast, segmented by audience. You control the story; I’ll make sure they hear it in the right order.”

“Good,” I say. “And make sure Kiyomi and legal pre-clears every line. No leaks, no improvisation.” My friends must be in lockstep with our strategy to ensure we avoid missteps.

When the call ends, the condo falls mostly silent except for Hanna bustling in the kitchen. Control the story. The words echo again. Press strategy is only half of it; the other half has to come from me. If Melissa builds the message, I must give her the foundation.

I sit at my desk and open a blank document. Title line: AEGIS Executive Summary and Foundational Overview.

The cursor blinks, patient. This isn’t code; it’s intent—a blueprint for how to explain an idea without surrendering it. I start sketching structure: Purpose. Scope. Core Principles. Impact. Finance. Governance. My mind slides into rhythm—each section another piece of armor. Aegis must be understood not as invention, but as integrity made visible—stability, accountability, trust encoded into logic.

Outside, the city quiets under a soft spring rain. The servers hum low, gathering the day’s data, learning with every climb. I pause, let the sound steady me, then begin to write—carefully, deliberately, the first words of the manifesto that will define everything that comes next.

Aegis is not a product. It is a framework—an adaptive intelligence built to protect, learn, and honor the people it serves...


Author’s Note

When Cold Creek ceased updating The Defenseman: Book 3 in 2018, artificial intelligence was still more fiction than fact. His foresight in exploring its ethical and emotional dimensions—while writing a story set in 2010 – 2011, years before AI became part of daily life—remains a testament to his brilliance as both storyteller and visionary.

AEGIS builds upon that foundation. It is an imaginative synthesis of what was only theoretical in 2010 and what is now emerging in our world. The system’s self-healing intelligence, distributed honor contracts, and adaptive industrial awareness are creative extrapolations—conceptual bridges between the technology of that era and the possibilities of today.

In essence, AEGIS is an amalgam of present and future potential, a narrative experiment meant to honor Cold Creek’s gift for anticipating change. Please suspend disbelief, enjoy the creative liberties taken, and experience the story as it was intended: a tribute to innovation, resilience, and the enduring insight of the author who first imagined it.


AEGIS Executive Summary and Foundational Overview
(Adaptive Ethical Governance Intelligence System — an AEGIS Consortium Initiative)

Confidential — Internal Distribution Only — Covered by NDA{br}


Author: Michael Stewart, Founder & Chief Architect
Date: May 2011

1. Founder Vision and Market Imperative

AEGIS was born at the intersection of precision sport, computer science, and industrial need. Its creator, Michael Stewart, fused the reflex discipline of an Olympic defenseman with the analytical rigor of a systems engineer. What began as a quest to understand human resilience under pressure evolved into a breakthrough in machine resilience under stress.

The result is AEGIS — an industrial intelligence framework that turns static automation into living, adaptive infrastructure.

Globally, unplanned downtime costs manufacturers more than $500 billion annually, with automotive assembly alone losing $10,000–15,000 per minute when production halts. Supply-chain fragility, cybersecurity risks, and sustainability compliance have turned operational continuity into the defining competitive edge of this decade. AEGIS addresses that need directly — self-healing intelligence for the systems that make civilization work.

The mission is bold but clear: replace brittle automation with adaptive, ethical intelligence that learns, negotiates, and recovers in real time.

2. Vision and Purpose

Its earliest proof-of-concept models demonstrated how adaptive intelligence could synchronize robotic operations, predict equipment fatigue, and maintain stability under simulated stress. These internal tests, validated through Northern Edge, confirmed that the system can learn and recover dynamically long before any factory deployment. From those digital foundations, AEGIS is now positioned to evolve into a commercial and civic operating layer for resilient, self-healing infrastructure.

Northern Edge serves as the real-world test bed and proof of concept. Initially developed as a high-performance simulation environment for elite climbers, it became the perfect engine for training adaptive decision models. The same architecture that analyzed endurance, fatigue, and precision on the wall now informs the algorithms that will soon stabilize industrial lines, balance energy grids, and orchestrate logistics flows.

Today, AEGIS operates across the four pillars that sustain every modern enterprise and nation: manufacturing, logistics, energy, and healthcare.

Each AEGIS module applies cross-domain learning, integrating sensor data, production metrics, and economic signals to anticipate disruption before it cascades. Risk is managed through Honor-Bound Contracts — auditable ledgers that trace every decision to its origin, drawing inspiration from early distributed-trust research while extending it far beyond finance into operational ethics.

AEGIS is not a product; it is a living industrial intelligence architecture — modular, auditable, and sovereign-ready — designed to operate seamlessly at the plant-floor, network, and enterprise-policy levels. All Northern Edge-derived revenues remain ring-fenced for research and development during the 2010–2011 academic period to preserve Michael Stewart’s NCAA compliance and academic-scholarship eligibility.

3. Core Architecture

AEGIS integrates five interoperable strata:

Cognitive Kernel (“A-Core”) — Hybrid reinforcement + symbolic reasoning enabling rapid cross-domain transfer without retraining.

Resilience Mesh — Federated edge nodes within plants and control rooms; each maintains autonomy for 72 hours if connectivity fails.

Human Performance Interface — Biometric and workload feedback (originating from Northern Edge) predicting operator fatigue and balancing shifts.

Audit & Governance Ledger — Permissioned, append-only ledger capturing inputs, policy constraints, and outcomes; regulators can verify causality without exposing proprietary models.

Economic Simulation Layer — Real-time market model blending sensor, supply, and financial data to detect cascading risk.

Together these layers create an Adaptive Ethical Governance Intelligence System capable of anticipating failure, mitigating impact, and learning from recovery faster than traditional control networks.

4. Deployment Roadmap (2011 – 2016)

Phase I — Pilot Prototypes (2011 – 2012) – Northern Edge formalized as training/validation POC; limited automotive pilots in Detroit and Nagoya targeting ≤ 30 % downtime reduction and ≥ 8 % OEE uplift. Seed capital ≈ $22 M.

Phase II — Sector Expansion (2012 – 2014) – Energy-grid pilots (Japan & Spain) and logistics orchestration at rail/port hubs. Series A ≈ $58 M.

Phase III — Finance & Insurance Integration (2014 – 2015) – Predictive-risk modules; first sovereign licenses in EU and Japan. Series B ≈ $120 M.

Phase IV — Global Ecosystem Launch (2016 +) – Unified AEGIS platform across four business regions (NA, LATM, APAC, EMEA); self-funded growth via licensing + services; cash-flow positive within five years.

5. Beachhead and Market Opportunity

The initial wedge market is automotive manufacturing, where measurable impact is immediate and data access already structured. Reducing unplanned downtime by just 15 % across Tier-1 suppliers yields savings exceeding $2 B annually in North America alone. From there, the platform extends horizontally into energy-grid management and logistics, capturing the $250 B global market for AI-enabled industrial operations projected to double by 2020.

6. Revenue Model

Licensing & Managed Services — Annual recurring revenue from AEGIS nodes, updates, and monitoring. Target ≈ $500 M ARR by Year 5 (≈ 110 sites × $4.5 M per site blended).

Compliance Attestation & Audit Services — Permissioned-ledger attestations for regulated sectors; recurring or per-engagement billing.

Data-Coop Royalties — Opt-in, anonymized insight exchange with policy-gated royalty distribution.

Strategic Equity Structures — Minority stakes with regional partners (NA, LATM, APAC, EMEA) and node-leasing to reduce customer capex.

7. Competitive Advantage

Cross-Domain Learning — Operational lessons transfer instantly between lines, plants, and regions.

Honor-Bound Governance — Human-readable audit chains explain why decisions are made — true algorithmic transparency.

Resilience-First Design — Edge nodes maintain operation through cyber events or network loss; “graceful degradation” replaces downtime.

Ethical Sovereignty — Deployments licensed under mutual-trust clauses and code-escrow for data protection.

Founder Differentiation — Michael Stewart’s dual background in competitive athletics and AI engineering created a design philosophy centered on adaptability, accountability, and endurance — qualities competitors lack.

8. Financial Highlights

Deployment & Revenue Milestones

● Year 1 – 4 pilot sites online; ARR ≈ $14 – 18 M.

● Year 3 – ≈ 35 sites operational; ARR ≈ $160 M.

● Year 5 – ≈ 110 sites deployed; ARR ≈ $500 M.

Margins & Profitability

● Gross margin ≈ 42 % (Y1) → ≈ 61 % (Y5).

● Capex intensity ≈ 60 % (Y1) → ≈ 20 % (Y5).

● EBITDA margin – 25 % (Y1) → break-even by 30 – 40 sites → + 28 % (Y5).

Valuation & Return

● Enterprise value ≈ $120 M (Y1), ≈ $0.9 B (Y3), ≈ $3.0 B (Y5) at 6 – 8 × forward ARR.

● Break-even ≈ Year 3; sustained positive cash flow by early Year 4.

 
There is more of this chapter...

When this story gets more text, you will need to Log In to read it

 

WARNING! ADULT CONTENT...

Storiesonline is for adult entertainment only. By accessing this site you declare that you are of legal age and that you agree with our Terms of Service and Privacy Policy.


Log In