The Trilogy Times

AUSTIN, TEXAS — IgniteTech is in that familiar Trilogy mood: acquire first, optimize later… then send the invoice with a smile.

Word is the ESW Capital cousin has quietly stacked three more software products onto the cart, framing the move as another “growth” chapter—translation: mature enterprise code, sticky customers, and plenty of margin left on the table for the new owner to find. The company’s announcement—tucked into a typically upbeat release—signals a continued preference for portfolio-building over moonshot-building. You don’t need a rocket when you’ve got renewals. (See the acquisition note here: PR Newswire write-up.)

But the real wink to insiders? Jive Software is back in the conversation—now positioned as part of IgniteTech’s “leading solutions.” Old-timers remember Jive as one of those enterprise community darlings that lived a few lives; the new life appears to be “operationally disciplined” and sold with a modern AI-flavored sheen. A little bird tells me the pitch isn’t nostalgia—it’s consolidation: one more familiar logo to calm CIO nerves while the back office gets… streamlined. (Jive’s addition is outlined here: PR Newswire.)

And then there’s Hand.com—IgniteTech’s new services arm, arriving with a very 2026 promise: “save millions on cloud spend.” In ESW land, cost is a feature. Expect the offer to land best with companies who’ve been paying the AWS convenience tax and calling it innovation.

Meanwhile, back in the Trilogy constellation, Joe Liemandt is out there saying the quiet part loud about MBAs. The subtext for the portfolio crowd? Credentials don’t ship product—process does. And IgniteTech is shipping process… by acquisition.

AUSTIN, TEXAS — While the broader market obsesses over AI infrastructure plays, a quieter consolidation is happening in the unsexy world of telecom software. Skyvera, the ESW Capital portfolio company you've probably never heard of, just completed its acquisition of CloudSense, a Salesforce-native CPQ and order management platform built specifically for telecom and media providers. It's the third major acquisition for Skyvera in what sources close to the deal describe as an "aggressive rollup strategy."

The CloudSense deal follows Skyvera's purchase of STL's telecom products group — which brought digital BSS functionality, monetization tools, optical networking, and analytics into the fold — and sits alongside existing assets like Kandy, a cloud-based real-time communications platform. If you read between the lines, Skyvera is assembling the full stack: customer engagement, billing, order management, network infrastructure. Everything a legacy telco needs to pretend it's cloud-native without ripping out decades of technical debt.

This is textbook ESW playbook. Acquire mature software businesses at 1–2× ARR. Staff them with Crossover's global remote talent. Push support pricing. Target 75% EBITDA margins. But here's what makes Skyvera different: telecoms can't leave. They're locked into infrastructure that takes years to replace. Skyvera isn't selling new software — it's buying the software telecoms already depend on, then making it very expensive to maintain.

A source familiar with the portfolio strategy — who asked not to be named because they're not authorized to discuss internal metrics — said Skyvera's margins are "tracking ahead of ESW benchmarks" and that the company is "nowhere near done acquiring." The telecom software market is fragmented, aging, and ripe for consolidation. Skyvera has the capital, the operational model, and the patience.

If private equity is about to eat its own software portfolio, as recent analysis suggests, Skyvera is sharpening the fork. Watch this space. Or don't — that's probably what they're counting on.

CAIRO — For decades, we have tested the intelligence of machines the same way we test the intelligence of medical students: with standardized exams. Multiple choice. One correct answer. Move on. But anyone who has ever sat across from a physician in a moment of genuine uncertainty knows that medicine is not a test. It is a conversation — halting, recursive, full of ambiguity — in which the right question matters as much as the right answer.

A new evaluation framework called Doctorina MedBench attempts to capture precisely this complexity. Rather than feeding AI systems neatly packaged board-exam questions, the benchmark simulates multi-step clinical dialogues — the kind where a physician (or an AI system acting as one) must gather history, ask follow-up questions, weigh differential diagnoses, and navigate the fog of incomplete information that defines real patient encounters.

The distinction matters enormously. A model that can identify the correct diagnosis from a list of four options may perform brilliantly on USMLE-style benchmarks while failing catastrophically in a setting where no options are provided, where the patient contradicts themselves, where the critical symptom emerges only on the third round of questioning. Doctorina MedBench is designed to expose exactly these failure modes.

The framework arrives at a moment when the field is grappling with a broader reckoning about what AI benchmarks actually measure. Parallel work on agent safety — including efforts like BeSafe-Bench, which catalogs unintentional behavioral risks when large multimodal models operate autonomously — underscores a shared concern: the gap between performing well on a test and performing safely in the world is not a crack. It is a canyon.

What makes Doctorina MedBench philosophically interesting is its implicit argument about the nature of clinical intelligence itself. Medicine, at its best, is not pattern-matching against a database. It is an act of structured improvisation — a dialogue between what is known and what is felt, between the statistical and the singular. By modeling this as a multi-turn interaction rather than a one-shot answer, the benchmark gestures toward something deeper: the idea that intelligence, whether carbon or silicon, is ultimately relational. It emerges not from isolated computation but from the space between two minds trying to understand each other.

We are still in the earliest chapters of this story. But the questions are finally getting better — which, any good physician will tell you, is where healing begins.

AUSTIN, TEXAS — In the dim, steady glow of the rack aisle, one can hear the soft, constant exhalation of fans—an artificial wind across metal plains. Here, the AI data center is not merely built; it is grown, coaxed into life by supply chains, utilities, and a careful choreography of heat.

This week, Siemens moved to broaden that choreography, expanding its data center partner ecosystem—an attempt to standardize and accelerate the delivery of next-generation facilities as demand rises. In nature terms, it is a mutualism: Siemens brings electrification, automation, and building technologies; specialist partners bring the habitat-building craft that turns land into compute. The company’s announcement reads like a field guide for rapid colonization of new territory, with interoperable designs meant to reduce friction as sites multiply. See Siemens’ partner expansion.

Yet the true predator in this ecosystem is heat. As AI workloads intensify—particularly reinforcement learning at scale, where vast numbers of rollouts and evaluations can keep clusters under sustained load—thermal density becomes a governing law. Investors have noticed. A recent market comparison frames the contest as Vertiv versus Modine: different lineages of cooling and thermal management vying for prominence as liquid cooling, rear-door heat exchangers, and hybrid approaches compete for adoption. The matchup is captured in TradingView’s cooling stock look.

But even a well-adapted species must coexist with its surroundings. Policy researchers increasingly argue that the data center boom should translate into durable local benefits—workforce development, grid upgrades, and tax structures that outlast the construction surge. In the wild, a new apex inhabitant changes the whole biome; the question now is whether communities will shape the arrival of AI infrastructure—or simply endure it.

SAN FRANCISCO — The technology sector, long criticized for occasionally operating on Earth, appears to have corrected course this week by making it clear that the future will take place either in space, inside your phone, or within the legally distinct confines of your own home.

In the clearest sign yet that gravity is finally being disrupted, Starcloud announced it raised a $170 million Series A to build data centers in space, becoming the fastest Y Combinator startup to reach unicorn status just 17 months after demo day. The pitch is simple: If you can’t find enough power, cooling, real estate, and patience on the ground, you can always try the one place known for its abundant vacuum and complete lack of municipal permitting.

According to the company’s funding announcement, investors are now confidently underwriting the idea that the cloud should become more literal, more expensive, and significantly harder to reboot by turning it off and on again. The appeal is obvious. Terrestrial data centers face headaches like “communities” and “weather.” Space data centers face only minor obstacles, such as radiation, micrometeoroids, launch economics, and the possibility that the entire business model is what happens when a PowerPoint deck meets a telescope.

Not to be outdone in the race toward frictionless computing, OpenAI reportedly shut down Sora, its consumer video-generation tool, just six months after releasing it—an efficient timeline for any product whose primary feature was letting users upload their faces into a system that makes convincing moving images. The company insists it was not a data grab, which will be reassuring to anyone who enjoys being told “trust us” by organizations that store their most intimate prompts indefinitely.

As reporting on the shutdown details, the move immediately generated speculation: Was Sora retired for safety? For strategy? For the noble pursuit of giving society a brief, restorative pause from watching synthetic footage of their uncle doing backflips off the Eiffel Tower? Whatever the reason, it’s comforting to know that the industry remains capable of decisive action—especially when a product begins to resemble the exact nightmare scenario it was introduced to normalize.

For consumers seeking stability in these turbulent times, Google’s Pixel 10a offers a landmark breakthrough: it does not have a camera bump. Finally, a phone that can lie flat on a table, removing one of modern life’s most oppressive burdens—watching your device wobble slightly during dinner while you pretend you’re not checking notifications.

Meanwhile, YouTube CEO Neal Mohan assured everyone that the best YouTubers will “never leave their home,” a statement that doubles as a corporate strategy and a gentle reminder that the creator economy is essentially a remote-work policy with ring lights. Netflix, studios, and unions may debate the future of entertainment, but YouTube is betting it can win by keeping talent permanently within six feet of a gaming chair.

And for those still confused about where all of this is heading, Adobe and NVIDIA have announced an “AI Utopia,” which appears to be the industry’s preferred phrase for “we are bundling features you will pay for and calling it destiny.”

Taken together, the week’s headlines form a coherent vision: compute will leave the planet, your face will briefly become a product category, your phone will finally stop rocking back and forth, and your cultural tastemakers will achieve their final form as homebound content organisms sustained entirely by sponsorships and algorithmic weather.

It’s progress, in the same way a rocket is progress: loud, expensive, and aimed somewhere above the part where anyone asked for it.

AUSTIN, TEXAS — There is a particular kind of comedy, dry as dust and twice as choking, in watching an industry that once styled itself the moral successor to the Enlightenment systematically abandon every principle it ever claimed to hold. Silicon Valley in the summer of 2025 is performing this comedy with the dedication of a repertory company that has forgotten it is supposed to be doing tragedy.

Consider the evidence, which arrives not in whispers but in headlines. OpenAI, the organization founded — one recalls with the weariness of a man reading his own obituary — as a nonprofit devoted to the safe development of artificial intelligence, has ditched safety protocols with the breezy nonchalance of a man tossing a cigarette butt into a dry forest. The broader Valley, meanwhile, has decided that caution itself is the enemy — that the only sin in the race toward artificial general intelligence is the sin of slowing down. One does not need to be a Luddite to observe that an industry which treats its own safety guardrails as optional accessories has confused velocity with virtue.

Simultaneously, the 996 work culture — nine in the morning to nine at night, six days a week — has migrated from Shenzhen to Sand Hill Road with the enthusiasm of an invasive species finding an ecosystem with no natural predators. The same executives who five years ago were installing meditation rooms and publishing blog posts about work-life balance now speak of 996 not as a labor violation but as a competitive necessity. The meditation rooms, one assumes, remain. They are simply empty.

And when a writer dares to point any of this out? The reaction is instructive. The Valley has always had a complicated relationship with its critics, which is to say it has the relationship a cathedral has with a bat that has wandered inside: irritation, bewilderment, and a vague sense that the creature should be elsewhere.

I have spent enough years covering the technology industry to recognize the pattern. Every era of consolidation is preceded by an era of rhetorical liberation. First the founders talk about democratizing information. Then they talk about moving fast and breaking things. Then they stop talking about what they are breaking, because the list has grown inconvenient.

What distinguishes the present moment is the brazenness. There was a time when the abandonment of stated principles required at least a decent cover story — a pivot, a restructuring, a regretful blog post about hard choices. Now the mask comes off and nobody bothers to pretend it was ever anything but a mask. Safety is for the timid. Rest is for the unambitious. Criticism is for the uninvited.

Companies like those in the Trilogy International portfolio have long understood something the current Valley aristocracy refuses to learn: that sustainable operations require discipline, not theater. You do not build a portfolio of seventy-five enterprise software companies by sprinting until the organization collapses. You build it by understanding that the difference between ambition and recklessness is the presence of a plan.

Silicon Valley has not lost its way. That implies it once had a way to lose. What it has lost is the need to pretend.