Charlie Fermer

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⚽ FC Barcelona

[Charlie Fermer @CharlieFermer]

2025 er slut og det har været endnu et fantastisk år investerings mæssigt. Oppe med 96% uden at gøre meget. Har solgt lidt PLTR ifm. huskøb og solgt lidt NET til, at starte en position i GRAB.
Godt nytår til alle og lad os håbe 2026 fortsætter opad 🥳

[amit @amitisinvesting]

$PLTR

Palantir CEO Alex Karp at AIPCon 10:

“Our biggest sales secret is that we want you to go to the model companies. We hope you go through the process of being sold by them. Because when you do, you will think you feel smarter, but you will soon realize that they actually don’t care about you. They don’t want to understand your business. They want to show you how many tokens you can use. The real value comes from an ontology that builds with you, understands your business, and actually wants you to win. That’s how we sell at Palantir.”

[Gokarp @PLTRs_Palantir]

Kirkland & Ellis and Palantir to build AI tool to assist private equity firms

Kirkland & Ellis has agreed a $500M multiyear deal with Palantir to develop AI technology to help it advise private equity groups on raising money from investors such as pension funds.
The world’s highest-grossing law firm, which advises the largest private equity houses on raising multibillion-dollar funds, said it would use the Palantir technology to make the expertise of its top partners available to more than a thousand of its lawyers.

The Palantir tool would be used for fund documentation, to help draft side letters, and to keep track of private equity firms’ agreements with their investors and monitor compliance with them, the law firm said. It can also help the firm advise on continuation vehicles, the increasingly popular deals in which private equity firms sell companies to themselves. 

“It became really important for us to take all [our] institutional knowledge and senior partner judgment and embed that into an AI system,” said Erica Berthou, a partner in Kirkland’s investment funds practice. “There is no doubt that this will speed up and make the complex fundraising market system more efficient.” She said it could lead to a shift from billing clients for the number of hours worked to billing them for an overall project.

Palantir, a data intelligence group, has become a flashpoint on the US midterms campaign trail over its work helping immigration authorities track and manage deportations. Palantir would not have access to confidential client data, Berthou said.

Kirkland, which has advised Blackstone, Thoma Bravo and EQT on raising funds, has attracted controversy for the way it deals with limited partners such as public pension funds.

The FT reported last year that it had given its lawyers communication training after developing a reputation for being uncooperative with those investors, including refusing to negotiate even on minor fund terms and rejecting requests with the stock phrase: “We respectfully decline.” Berthou said the AI platform had embedded the “different cultural touch” that Kirkland had since adopted.

Chicago-founded Kirkland said it advised on funds that had raised, or aimed to raise, nearly $500bn in total last year. 
The deal comes at a time when Palantir has faced scrutiny from UK members of parliament over its role in public infrastructure, in part because of its ties to the US defence sector and chief executive Alex Karp’s support for Donald Trump’s immigration crackdown.

Berthou said Kirkland “spoke to many” tech companies, and while it was “mindful” of recent news reports about Palantir, the firm won the mandate because “their data security aspects, their longstanding track record, and the talent . . . really won the day”.

The Palantir agreement is one of several that the law firm will strike under plans announced last week to invest half a billion dollars to create its own AI platform.

While a number of law firms have built proprietary AI technology, the Kirkland investment — more than $100mn of which will be spent this year — is the largest disclosed in the legal industry.
The move has reignited the debate about whether law firms should buy or build their own AI platforms. While outside companies such as Palantir are helping Kirkland create the technology, they will not be able to sell it to others.

By contrast A&O Shearman has created a suite of tools, including one specifically for fund formation, with an ambition to sell them to other firms. Freshfields announced a deal with Anthropic in April which will see the UK “magic circle” firm help the tech giant build specialist AI tools that could be later sold to rival law firms.

[Gokarp @PLTRs_Palantir]

Palantir Announces Availability on Google Cloud Marketplace, Including Two-Way Integrations between BigQuery and Foundry and Deep Connectivity between Gemini and AIP

Palantir Technologies Inc. (NASDAQ: PLTR) today announced a multi-tiered partnership with Google Cloud, enabling first-class integrations across Google Cloud platforms and making Palantir available on Google Cloud Marketplace.
As part of this partnership, Palantir is addressing several foundational integrations for existing and new customers.

This includes two-way data federation between BigQuery and Foundry, building on existing support of zero-copy virtual table integration, as well as the two-way semantic exchange between Google’s Knowledge Catalog and Foundry’s Ontology. The engineering efforts underlying this partnership will unlock next-generation efficiencies for customers leveraging BigQuery and Foundry across their enterprises.
Additionally, deeper connectivity between Gemini and Palantir AIP enables customers to connect best-in-class models to their most critical AI workflows and operations.

“Our partnership with Palantir helps turn raw data into AI-driven insights that inform real-world, operational execution,” said Satish Thomas, Vice President, Applied AI & Platform Ecosystem at Google Cloud. “By uniting BigQuery and Gemini with Palantir’s Foundry and AIP, we’re giving joint customers a secure, unified foundation to run their most complex, high-stakes workflows at scale.”

For example, at Eaton, the combination of Palantir Foundry, AIP, the Ontology, and Gemini is enabling production workflows that transform engineering documentation into intelligent operational assets.

For Eaton, this is enabling faster quote generation, enhanced engineering precision, reduced effort, and stronger customer responsiveness – and highlights the way in which frontier AI delivers the greatest value for customers when advanced models such as Gemini are embedded directly into operational workflows via the Ontology.

“Our customers are relentless in their ambitions, and clear about the need for holistic architectures,” says Akshay Krishnaswamy, Palantir’s Chief Architect. “Our partnership with Google Cloud marries the years of investments that customers have made into Google’s Knowledge Catalog, BigQuery, and Cloud Storage with the operational force of Foundry and AIP, and enables them to unleash Gemini alongside their Ontology-powered AI strategy.”

[Charlie Fermer @CharlieFermer]

@HemmeligeCule Carragher siger det bedst. Ronaldo er en god målscorer, Messi er den bedste fodboldspiller nogensinde. Det var ALDRIG en debat.

[Gokarp @PLTRs_Palantir]

LIG D&A, Palantir power AI C2 to speed Korea unmanned naval ops

LIG D&A (LIG Defense&Aerospace) said on the 1st that it successfully completed a demonstration of an intelligent command-and-control system for an unmanned surface vessel (USV).

The demonstration was held on the 27th at Korea Maritime and Ocean University and was attended by LIG D&A Chief Technology Officer Lee Seung-young, along with military officials, the Korea Coast Guard, academia, and defense industry officials.

LIG D&A built a "hybrid simulation" environment by linking maritime assets and a precision simulator in real time via satellite communications, and commanded and controlled maritime assets through an intelligent command-and-control (C2) system.

Four vessels were deployed for the demonstration: the unmanned surface vessels Haegum 3 and Haegum 5 from LIG D&A, as well as two small multipurpose unmanned surface vessels, Haegum S, produced with 3D printing; the simulator environment implemented a manned destroyer and torpedoes.

LIG D&A showcased actual maritime assets carrying out operations under two scenarios—anti-ship warfare and anti-submarine warfare—tailored to a simulator that reproduced multi-domain assets similar to a real battlefield.

In the anti-ship warfare scenario, the situation assumed an enemy surface ship violating the Northern Limit Line (NLL). It showed operations including operational planning, warning fire, destructive fire, and collision attack.

In the anti-submarine warfare scenario, it implemented a seven-step operation from searching through sonobuoy drops and operation of a towed array sonar (TASS) when an enemy submarine infiltrates, to launching a Blue Shark torpedo and confirming a simulated sinking.

In the operational scenario demonstration, LIG ​​D&A showed that the C2 system reduced the time from detection to decision and engagement to about one-tenth of the previous duration.

The C2 system fuses data collected in real time across multiple domains—maritime, air, and satellite—to create a single high-precision operational map and recommends tactical plans in real time to help commanders make quick and accurate decisions.

LIG D&A expects that by implementing the AI ​​solution that supports decision-making in collaboration with US-based Palantir Technologies, it can reflect overseas customers' requirements and boost export competitiveness.

LIG D&A CTO Lee Seung-young said, "Beyond possessing excellent unmanned platforms, integrating them into one and using AI to command and control the battlefield in real time is the true competitiveness of future defense," adding, "We will push for early productization and achieve exports of a global package solution."

A Palantir official said, "We are very pleased to accelerate AI integration with LIG D&A," adding, "This demonstration is the result that proves what the two companies achieved in a short period."

[Charlie Fermer @CharlieFermer]

@Julius_Sten1 @MadsC007 Det er også et stort svigt.

[Mike Lee @MikeLeeStrategy]

Wow - almost like what Alex Karp has been saying for years $PLTR

[Charlie Fermer @CharlieFermer]

@FilipSalling @aktieuniverset Det bliver RIGTIG godt længere ned af vejen. Der er ikke længe til, at de laver $15B i fcf, og det går stærkt derfra.

[Chad Wahlquist @chadwahl]

So wait until you see what Apollo has become. I am cooking up a demo and video for you all.

The idea is that infinitely more code is being generated, attack vectors and identifications are increasing at an exponential pace (see glasswinf, mythos, ChatGPT cyber), and the number of endpoints to deploy software has increased exponentially.

How do you manage this heterogeneous estate that just got exponentially more complex in all dimensions?

You need Ontology Primitives for Software Distribution through Apollo to help identify, remediate, patch, secure, rollback, and deploy in seconds and minutes, not weeks and months.

It is the power of Ontology + AIP + Apollo that is the magic here.

[Charlie Fermer @CharlieFermer]

@andersbaek1 Prøvede det i Aarhus for en måneds tid siden, det var sgu meget fedt. Efter 10 min tænkte jeg ikke over at bilen kørte selv, der sad vi bare og snakkede resten af turen.

[Charlie Fermer @CharlieFermer]

@MichaelMoelbaek @HemmeligeCule han har et pokalskab der taler for sig selv.

[Charlie Fermer @CharlieFermer]

@MichaelMoelbaek @HemmeligeCule At han får jobbet i en af verdens største klubber betyder netop, at han ikke er færdig.
Mourinho laver ikke ballade, det er taktik. For mig at se har han altid været en klasse træner. Ofte kedelig fodbold og (taktiske) konfrontationer med/i pressen ja, men

[Arny Trezzi @arny_trezzi]

$PLTR has dropped 10% since its Q1 results:

It seems stupid. And it is.

Here is why:

1) Palantir can't meet demand.

Jefferies analyst Thill complains that Palantir doesn't hire more people.

Why do that when you can have people selling for you?

Palantir wants to keep elite talents focused on products + key clients.

Meanwhile, the Partner ecosystem sells and deploys to smaller clients.

ie Accenture formed a +2,000 team to deploy Palantir.

2) Results are so insane that investors don't understand them.

85% Revenue growth with margins expanding to 53% GAAP Net Income Margin.

Yes, including SBC.
Yes, this is black magic.

AIP has a perfect structural market fit.

3) Recurring Revenues on long-term relationships mean ENDURANCE.

As it is very hard to accelerate growth, it is very hard for growth to just stop.

You don't easily stop a rocket.

4) "US Commercial Missed."

Bloomberg reported that US Commercial slowed, but apparently wrote the article without listening to the call.

"One US Commercial" client moved to US Government. Without the change, growth would have been 143%, up from 137% YoY in Q4."

Funny and sad at the same time?

5) Palantir reaps all the benefits

While other AI players spend hundreds of billions of dollars building data centers and training models, Palantir benefits from these expenses without incurring them.

Better models make Palantir AIP more valuable.

AIP is the AI infrastructure level that enables an organization to deploy hordes of agents effectively, compliantly, and safely.

"The number of tasks that you can trust to a model without the right harness exponentially declines.

"More tokens mean more slop. And the more commodity cognition you consume, the more you need a system that can prevent the economic harm so you can harness the economic value." - @ssankar

AI labs are in a race to the bottom. Palantir's pricing power increases the more it can unlock critical use cases at scale.

You can build a simple workflow directly with Code.
You don't want to have 1000 agents without guardrails.

6) Analysts keep underestimating the earnings power:

Revenue YoY growth estimates:
+75% in '26
+44% in '27
+42% in '28

FCF YoY growth estimates:
+115% in '26
+46% in '27
+40% in '28

Analysts believe:
- growth is peaking
- margins can't expand further

Given endurance and a focus on expanding the product over sales, I believe both revenue and margin estimates will be smashed.

7) Is Valuation actually cheap?

Palantir trades at ~60x FCF NTM, while more than doubling FCF YoY.

Even assuming that Palantir delivers FCF in line with (low) estimates, I consider that appealing.

eg $CRWD trades at 77x FCF with 22% Revenue Growth at -3% GAAP Profit Margin.

At least 80x EV/FCF deserved?

[Harry Stebbings @HarryStebbings]

Why Palantir is a mega-buy right now?

"Palantir is a mega-buy because it sells directly to the CEO’s top priority, AI transformation.

It can deliver enterprise-wide solutions in $10M–$100M deals, not just point tools.

There are very few companies that can execute at that scale with credibility.

So when companies need to “do AI” in a real way, Palantir is one of the only options."

Love to hear your thoughts @CGarrett_15 @zebulgar @shaunmmaguire

[Jack Farley @JackFarley96]

Palantir is the largest company ever to reach a Net Dollar Retention Rate of 150% $PLTR

[Charlie Fermer @CharlieFermer]

$PLTR kommer til at vokse tæt på 100% i år, og over det næste år. Sikkert også i 2028.
Margins vokser med, og deres runway er uendelig lang.
Intet mindre end imponerende.

An N of 1.

[Charlie Fermer @CharlieFermer]

@HemmeligeCule Sejr på hjemmebane i næste uge💪