Results

Box acquires Alphamoon Technology, aims to integrate LLMs, OCR into Box AI

Box acquires Alphamoon Technology, aims to integrate LLMs, OCR into Box AI

Box said it has acquired Alphamoon Technology in a move that will enable it to combine large language models (LLMs) and document processing technology to its platform.

The purchase complements Box's recent move to acquire Crooze. Box is building out its Box Intelligent Content Management platform to use AI to automate document-related tasks and extract metadata from business content.

In May, Box CEO Aaron Levie outlined the company's long-term strategy for Box AI and mining unstructured data, workflows and vertical use cases. Regarding Alphamoon Technology, Levie said Alphamoon Technology will be integrated into Box AI.

Box said Alphamoon Technology will complement its Intelligent Document Processing with the ability to use optical character recognition (OCR) to understand complex documents, extract metadata and integrate third party LLMs securely. Alphamoon Technology can read and automate the processes attached to invoices, deeds and receipts.

Alphamoon Technology will also be integrated with external applications via Box's partnership with Salesforce.

Constellation Research analyst Liz Miller said the Box acquisition of Alphamoon Technology makes a lot of sense. She said:

"This is a smart move by Box, an application that has long been part of the content supply chain, often straddling the gaps between content management systems designed for enterprise content storage and use and those content management systems built for experience centric applications including digital asset management.

Adding this capacity to quickly (and at scale) process documents and extract data from them adds a new intelligence stream to transform a trove of documents into a stream of intelligence and insight. This is a move we have seen from other asset, content and document players as the worlds of CMS and ECMS align and, in some cases, converge. The question (and test) for Box will be how they take the next step: will they stay isolated as a repository for these assets and documents or will they engineer smarter pathways to send this data outside their walls?"

 

 

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HubSpot's Q2 shines as customers consolidate on its platform

HubSpot's Q2 shines as customers consolidate on its platform

HubSpot reported better-than-expected second quarter results as customers of the CRM vendor decided to consolidate on its unified platform.

The company reported a second quarter net loss of $14.4 million, or 28 cents a share, on revenue of $637.2 million, up 20% from a year ago. Non-GAAP second quarter earnings were $1.94 a share. The company improved non-GAAP operating margins in the quarter to 17.2% from 14.5% a year ago.

Wall Street was expecting HubSpot to report second quarter earnings of $1.64 a share on revenue of $619 million. HubSpot was reportedly a buyout target for Google Cloud, but talks broke down.

Speaking on an earnings conference call, HubSpot CEO Yamini Rangan said customers are buying multiple hubs and leveraging the common data platform for insights. "We're going to build best-in-class engagement hubs, but most importantly, we're going to build a platform that unifies data insights across all of those hubs," she said. "If I were to point to one thing that we're seeing in the last few quarters, it is the multi hub momentum."

Rangan said HubSpot had multi-hub wins for marketing, sales and service as well as content. "Our customers acquired a bunch of point solutions, and they are struggling to integrate all of those data points into actionable insights and to control the cost, and they're looking for much better ways to be able to get all of that information into a single platform," said Rangan.

In addition, HubSpot layers commerce data, transaction data and payments data into its CRM platform.

HubSpot's earnings are notable given an uncertain macro environment. Rangan said customers are slowing to make decisions and using committees to approve purchases. Sales cycles are now longer.

However, HubSpot is winning wallet share. "When we talk to customers even when they are not ready to make a decision it's mostly not now for HubSpot and not a no," said Rangan.

Constellation Research analyst Liz Miller said:

“What Hubspot proves, time and again, is that easy wins the day. The reality is that establishing a hub for engagement across Sales, Service and Marketing functions can be exceedingly difficult…painful in fact. One minute you are deploying a point solution, the next you have given rise to a frankenstack. Hubspot is easy to navigate, easy to acquire, easy to adopt and easy to integrate and use. Hubspot no longer meet your needs? Hubspot makes it easy to transition while still leaving the door open to return and possibly expand. With a vibrant community of excited users, the Hubspot-vibe is one of success and positive growth. Customers are happy to consolidate around something that just works for their business and stage of growth.”

As for the outlook, HubSpot said its third quarter revenue will be between $646 million to $647 million with non-GAAP earnings between $1.89 a share to $1.91 a share.

For 2024, HubSpot is projecting revenue between $2.567 billion and $2.573 billion. Non-GAAP earnings will be between $7.64 a share to $7.70 a share.

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HOT TAKE: ZoomInfo’s New AI Copilot, Gong Integration Underscore the Need for a Customer Data Value Chain

HOT TAKE: ZoomInfo’s New AI Copilot, Gong Integration Underscore the Need for a Customer Data Value Chain

ZoomInfo has been busy over the last few months. The company first debuted its AI Copilot tool set on May 21st. The company quickly followed up with a pre-packaged integration with Gong this week. 

The Copilot is what you would expect: taking the most relevant buying signals — intent spikes, key hires and personnel moves, insights from our partner ecosystem, and the B2B company and contact data ZoomInfo has been known for - and pushing that insight to sellers. These alerts can be shared across multiple channels, allowing teams to quickly triage emerging opportunities and act decisively on high-quality intent signals.

The Copilot can be used by marketing teams as well. According to ZoomInfo marketers can access a ranked and prioritized list of the companies and buyers in-market, based on the high volume of signals analyzed and prioritized by ZoomInfo Copilot’s AI every day. The gen AI capabilities allow for typical Gen AI use cases for sellers: account and opportunity summaries, suggested accounts to engage that might be overlooked, etc. 

The new Copilot integrates with Salesforce and Hubspot, and can link to other CRM systems as well - but the integration with Gong is eyebrow raising on a few levels. The combination of call records and other interaction data meshed with ZoomInfo’s large data set - attacked by AI - can offer up even more timely recommendations, prioritized outreach plans, uncover buying committee members that might be present on calls but NOT in the CRM, etc. 

As go-to-market teams look to be more data-centric, and leverage AI, the good news is that a lot of revenue platform tools are coalescing to create a type of Customer Data Value chain, breaking down the silos (so you don’t have to!) to get at a richer, wider set of customer data in order to show value through AI. 

We are getting to a tipping point, where AI is both so embedded in common go-to-market tools, and the need to stay competitive are both so high that nearly all B2B firms must be at least dipping their toes in the water in terms of AI and creating far more expansive customer views. Again, the good news is the “heavy lifting” to get to a Customer Data Value Chain model is becoming less and less arduous. 

Of course, with all AI tools, building out an internal usage policy and governance team is essential. But the implementation side of things is becoming less of a burden, with more impetus to act rather than sit on the wayside in strategy, rather than action mode. 

Fortinet: Two acquisitions, Q2 results set it up as platform play

Fortinet: Two acquisitions, Q2 results set it up as platform play

Fortinet appears to be setting itself up to be more of a rival to Palo Alto Networks with the acquisitions of Next DLP and Lacework as well as better-than-expected second quarter results.

Ahead of its second quarter results, Fortinet announced the acquisition of Next DLP, which is focused on insider risk and data protection. Fortinet said the purchase of Next DLP will improve its position in the standalone enterprise data lost prevention (DLP) market and complement its endpoint and secure access service edge (SASE) businesses.

In addition, Fortinet completed its purchase of Lacework, a cloud-native application protection platform (CNAPP) provider. Fortinet plans to integrate Lacework with its Fortinet Security Fabric.

Here's how the technologies fit into the Fortinet stack.

Ultimately, Fortinet is piecing together a broad cybersecurity platform that covers secure networking, unified SASE and AI-driven SecOps. In other words, Fortinet's billings trend highlight how it'll look more like Palo Alto Networks.

Speaking on Fortinet's second quarter earnings conference call, CEO Ken Xie said:

"We continue to build our own SASE delivery infrastructure, including leverage of FortiGate technologies, providing us with a competitive long-term cost advantage. We acquired Next DLP, a next-generation cloud-native SaaS data protection platform, extending from endpoint to cloud. This will allow us to enter the stand-alone enterprise DLP market as well as the market for the SASE solution."

Xie also said that the Lacework purchase will give it "one of the most comprehensive full-stack cloud security solutions available from a single vendor." The Lacework AI-driven platform will be combined with Fortinet's security platform to cover network, cloud and endpoint.

Constellation Research's take

Constellation Research analyst Chirag Mehta outlined how Fortinet's approach can make it formidable. 

"In today’s complex multicloud and hybrid world, where remote work is the norm, traditional perimeter security is becoming obsolete. As more organizations move to the cloud and seek to enhance their security posture, Secure Access Service Edge (SASE) solutions are increasingly in demand. Fortinet is addressing these needs by bolstering its portfolio to meet customer requirements for networking and cloud security.

Fortinet's recent acquisition of Lacework significantly strengthened its cloud security portfolio by incorporating Cloud Native Application Protection Platform (CNAPP) capabilities. This acquisition also provided Fortinet with access to Lacework's advancements in DevSecOps, enhancing its overall security offerings.

Now, with the acquisition of Next DLP, Fortinet has further fortified its SASE portfolio. AI-led Data Loss Prevention (DLP) solutions are crucial as data security remains a significant concern for customers adopting AI technologies. CxOs often struggle with visibility into “shadow AI” systems and the associated data movement, which expands their attack surface. Next DLP's capabilities address these critical issues, ensuring better data security and compliance.

With steady organic growth and strategic acquisitions, Fortinet is positioning itself as a formidable competitor to Palo Alto Networks, which has pursued a similar strategy of acquisitions and organic investments. However, while Palo Alto Networks' push for platformization has raised concerns about vendor lock-in, Fortinet's approach offers customers more flexibility and options, addressing their diverse needs in the evolving cybersecurity landscape."

Second quarter results

Fortinet is clearly looking to expand wallet share with large enterprises as well as mid-sized businesses. Fortinet touted a series of 7-figure deal wins due to its ability to use FortiOS to consolidate security functions into one platform.

The company reported second-quarter earnings that were well ahead of expectations. Fortinet reported second-quarter earnings of $379.8 million, or 49 cents a share, on revenue of $1.43 billion, up 11% from a year ago. Non-GAAP earnings were 57 cents a share.

Wall Street was expecting Fortinet to report earnings of 41 cents a share on revenue of $1.4 billion.

As for the outlook, Fortinet projected third quarter revenue between $1.445 billion and $1.505 billion with non-GAAP earnings of 56 cents a share to 58 cents a share. For fiscal 2024, Fortinet projected revenue between $5.8 billion to $5.9 billion with non-GAAP earnings of $2.13 a share to $2.19 a share.

Xie added that Fortinet can expand beyond IT security to operational technology. The general theme for Fortinet is that it has a cybersecurity stack and unified operating system that can make it a platformization player over time.

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Airbnb CEO: GenAI's impact on app experiences minimal so far

Airbnb CEO: GenAI's impact on app experiences minimal so far

Airbnb CEO Brian Chesky said the generative AI is improving at a rapid rate and boosting efficiency, but its impact on applications will take a lot longer than expected.

Speaking on Airbnb's second quarter earnings call, Chesky was asked about how generative AI is changing experiences.

Chesky said the enthusiasm for generative AI has surged since OpenAI launched ChatGPT in November 2022. "When it was launched you had a feeling that everything was going to change. I think that's still true. But I think one of the things we’ve learned over the last say 18 months or nearly two years since ChatGPT launched is that that’s going to take a lot longer than people think for applications to change," said Chesky.

The Airbnb CEO outlined how the AI boom has revolved around infrastructure as well as large language models. The application layer has largely been untouched by genAI.

Chesky said:

"There has been a lot of innovation on the chips. There has been a lot of innovation in the models. We have a lot of new models and there's a prolific rate of improvement in these models.

But if you look at your home screen which of your apps are fundamentally different because of the AI? I think it's just going to take time to develop new AI paradigm. ChatGPT is an interface that could have existed before AI.

All of our paradigms are pre-AI paradigms. There has not been one app that I'm aware of at the top 50 app in the app stores in the United States that is a fundamentally new paradigm and as fundamentally different as multi-touch was to the iPhone in 2008. We need that interface change. So that's one of the things that we're working on."

Chesky said that Airbnb will be more than a search box where you type destination, dates and find a destination. Airbnb's app in the future will be much of a travel concierge that has conversations and can adapt to you.

"It's going to take a number of years to develop this," said Chesky. "It won't be in the next year and it's going to just take a bit more time. A new interface paradigm would allow us to attach new businesses."

An index of the world's communities and planning for a trip end-to-end would enable Airbnb to cross-sell inventory including hotels. "There are opportunities down the road with this new interface," said Chesky.

Airbnb's third quarter outlook was light following second quarter earnings. The company forecast revenue to be between $3.67 billion to $3.7 billion, compared to Wall Street estimates of $3.84 billion. Airbnb said it is seeing slowing demand from US customers and shorter booking times globally.

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Supermicro sees fiscal 2025 revenue of $26 billion to $30 billion, up from $15 billion in fiscal 2024

Supermicro sees fiscal 2025 revenue of $26 billion to $30 billion, up from $15 billion in fiscal 2024

Supermicro said it expects fiscal 2025 revenue between $26 billion and $30 billion, well above expectations, as the company sees the genAI building boom continuing.

The outlook from Supermicro landed along with mixed fourth quarter results. The company reported net income of $353 million, or $5.51 a share. Adjusted fourth quarter earnings were $6.25 a share on revenue of $5.31 billion, up more than 100% from a year ago. Wall Street was looking for earnings of $8.14 a share on $5.3 billion in revenue.

Supermicro also announced a 10-for-1 stock split.

For fiscal 2024, Supermicro reported net income of $1.21 billion, or $20.09 a share, on revenue of $14.94 billion, up 110% from a year ago.

As for the outlook, Supermicro projected first quarter revenue of $6 billion to $7 billion with non-GAAP earnings per share of $6.69 to $8.27. For the fiscal year, Supermicro sees sales of $26 billion to $30 billion.

Charles Liang, CEO of Supermicro, said the company saw component shortages in the fourth quarter. That revenue will shift to the first quarter. The shortages cost Supermicro about $800 million in revenue in the fourth quarter. 

Liang said Supermicro is transitioning to become a complete data center provider to address "record demand of new AI infrastructures." He said Supermicro will grow due to rack-scale DLC liquid cooling expertise and its new Datacenter Building Block Solutions. Liang also said it is expanding its footprint in Malaysia and Silicon Valley as well as its supply chain.

Speaking on a conference call, Liang said the company saw component shortages in parts needed for hyperscale data center buildouts.

"Supermicro is powering the largest AI factories around the world today," said Liang, who said the company is targeting 25% to 30% of new global center deployments with liquid cooling.

Supermicro has 5,000 racks in production per month now and more than 2,000 direct liquid cooled racks. 

Liang said the company is "seeing a lot of customer engagement" increasingly from enterprises. Supermicro also will have capacity starting in Malaysia and is improving its manufacturing efficiency.

"We will continue to grow with large customers. At the same time, we also continue to enhance our enterprise customer base," said Liang. He noted that Supermicro can gain share in liquid cooling systems and that component shortages were the norm when new technologies are introduced. 

Key items of note from the Supermicro fourth quarter:

  • 70% of revenue across enterprise and cloud service providers were next-gen air cooled and direct liquid cooled systems for AI infrastructure.
  • Shipments may continue to be constrained in the short term by supply chain bottlenecks for key new components.
  • Supermicro is scaling up production in Malaysia and Taiwan and expanding in Americas and Europe.
  • 61% of revenue in the quarter was attributed to the US.

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Uber Q2 boosted by algorithm improvements

Uber Q2 boosted by algorithm improvements

Uber reported better-than-expected second quarter results and credited "algorithmic improvements" for better unit economics.

CEO Dara Khosrowshahi referred to algorithm improvements and how they were driving better economics and customer experiences. Although Uber is known for its delivery and ride services, it is really a data company that can extend into multiple markets.

Khosrowshahi said:

"We continue to fundamentally improve unit economics as we lower cost per transaction through algorithmic improvements and more efficient batching; grow advertising revenue; increase multi-product usage; improve promotion efficiency; and deliver fixed-cost leverage. Every one of these levers has a specific technical and operational roadmap behind it that remains promising, allowing us to generate profits that we can reinvest back into growth and service quality, while improving margins. This operational formula is working incredibly well and has years of runway ahead of it."

Uber reported second quarter net income of $1 billion, or 47 cents a share, including a $333 million profit due to equity investments. Revenue for the quarter was $10.7 billion, up 16% from a year ago. Wall Street was looking for second quarter earnings of 31 cents a share on revenue of $10.57 billion. It's unclear whether estimates included the equity gains for the quarter.

By the numbers for the second quarter:

  • Uber's monthly active platform consumers were 156 million, up from 137 million a year ago.
  • Uber completed 2,765 trips in the second quarter, up from 2,282 a year ago.
  • Mobility revenue in the quarter was $6.13 billion, up 25% from a year ago.
  • Delivery revenue was $3.3 billion, up 8% from a year ago, and freight revenue was flat at $1.27 billion.
  • Uber advertising exited the second quarter at a revenue run rate topping $1 billion.

As for the outlook, Uber projected third quarter gross bookings of $40.25 billion to $41.75 billion, up 18% to 23% from a year ago, with adjusted EBITDA of $1.58 billion to $1.68 billion, up 45% to 54% from a year ago.

Going forward, Khosrowshahi said Uber is focused on launching new services on its platform including Uber Caregiver, scheduled UberX Share rides and Uber Shuttle.

Examples of Uber's algorithm improvements include:

  • New price matching algorithms that improve reliability at airports with landing notifications, clear directions and improvements on in-app experiences.
  • More efficient batching of rides and multi-product usage.
  • Managing utilization of autonomous vehicles to smooth out weekly trends.

 

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HOT TAKE: Federal Court Rules Google Guilty; Maintained Monopoly in Ad Market

HOT TAKE: Federal Court Rules Google Guilty; Maintained Monopoly in Ad Market

You don’t have to read far into the filed documentation in the case of the United States of America v Google LLC. You get the big picture by page 4: Google is a monopolist.

The History:

In 2020, two separate lawsuits had been filed against Google, specifically one by the US Department of Justice and another by the State of Colorado. But that’s not to say that every antitrust watchdog, every state’s Attorney General and a raft of legislators and regulators were not already deep into proposed complaints and actions against the search and advertising giant.

The lawsuits alleged that Google had violated Section 2 of the Sherman Act that makes it unlawful for any person to “monopolize, attempt to monopolize, or combine or conspire with any other person or persons, to monopolize any part of the trade or commerce among the several States or with foreign nations…” The section continues to define Monopolization requirements specifically as “(1) monopoly power and (2) the willful acquisition or maintenance of that power as distinguished from growth or development as a consequence of a superior product, business acumen or historic incident.”

While discovery in the case began in late 2020, the bench trial itself did not kick off until September 2023 with closing arguments in May 2024. Throughout the plaintiffs alleged that Google held and illegally maintained a monopoly in three markets (General search services, search advertising, and general search text advertising) by entering into exclusive agreements to secure default distribution on desktop and mobile devices.

The Ruling:

Judge Amit Mehta ruled that Google was a monopolist, but more specifically, Google acted as one to maintain this monopoly in two product markets, general search services and general text advertising, and entered into distribution agreements that are exclusive and have anticompetitive effects in these markets. The court also found that Google exercised its monopoly power by “charging supracompetitive prices for general search text ads” allowing “Google to earn monopoly profits.”

While portions of the full ruling do come down in favor of Google, excluding search advertising as a relevant product market and noting that Google was not required to work with or create deals with specific competitors or vendors in markets, the words are in literal black and white that Google is a monopoly with general search and text ads, resulting in a marketplace where Google has created and maintains its status as the only viable game in town despite the supposed availability of competitors.

Analysis:

For those who have been playing along with the bench trial and the release of evidence packages, this has all felt more like the boring draft of a Succession script than what is typically a rather boring straight forward case of antitrust arguments and evidentiary exchanges. From text exchanges about toggling speeds and results to convince market watchers new programs were designed to “help the little guys” while not making any substantive changes to the results or the ability for the “little guys” to beat out large advertisers in text ad auctions to the public airing of grievances between giants like Apple and Microsoft, this case has been bingeworthy and cringeworthy all at the same time.

It is of note that Google has consistently increased prices of their solutions, especially the text-based advertising units, while conversion rates have continued to decrease. In a 2024 report from LocalIQ’s investigation into search advertising benchmarks, while average conversion rates had dipped from 7.85% in 2022 to 7.04% in 2023, cost per lead (CPL) had increased by about 25%, click thru rate (CTR) had increased by about 5% and cost per click (CPC) had increase by 10% across all industries. In their report findings, the question was asked as to what Google could possibly be “tuning” to “keep finding ways to justify higher prices despite not delivering equally greater returns.”

While guilty headline of this case is a whopper, the reality here is that this trial was about liability, not about consequence or remedies. That phase of proceedings could bring anything from slaps on wrists and demands to stop doing naughty things to requirements to break-up the search business entirely. But it will certainly not bring the end to Google.

The bigger news here is that this is just ONE case…and an early one that will likely serve as precedent for multiple antitrust cases the DOJ has lined up against Google and many others. Next up for Google is the massive advertising technology case that is set to kick off in September, 2024, United States of America v Google, LLC, in which the DOJ alleges Google monopolized multiple digital advertising technology products via serial acquisitions and anticompetitive auction manipulation to subvert competition. Amazon, Apple and Meta are all facing their own lawsuits from the government as wel, making this ruling an important guidepost for how these cases may be defined and adjudicated in the future.

But What About AI?

The crux of Googles defense was that competitors in each market has had the opportunity to compete and innovate. AI and especially the power of generative AI holds and its possible shakeup in the world of search was brought up several times in evidence and at trial. However, the court and the experts brought forward by the government said that while AI has made leaps and bounds, the standard bearing technology and processes deployed in search specifically have not made any meaningful impact or improvement in results.

“Despite these recent advances, AI has not supplanted the traditional ingredients that define general search…And it is not likely to do so anytime soon. Importantly, generative AI has not (or at least, not yet) eliminated or materially reduced the need for user data to deliver quality search results.”

In other words, yes, AI and generative AI is a massive search opportunity...but as of the time of this ruling that oppportunity is more of an experiement wrapped in a wish than anything that could have subtantively aided the competition to make any gains against Google.

Does This Matter?

As for immediate backlash or impact on Marketers, this is a wait and see moment. The ruling has a long way to go before it actually DOES anything to Google, its business or how advertisers buy and do business with Google let alone its competitors. The biggest impact the case may have is in how an Act passed in 1890 is applied to how antitrust and market monopolization is addressed a distinctly twenty-first century digital world.

Google for its part has already shared its intention to appeal the decision, stating that they should not be penalized for making the best search engine available. So now, we hold on until the remedy phase of the proceedings…and of course all the additional legislation that could not just change the digital advertising and marketing landscape forever. Keep an eye open for how acquisition rumors spread as these cases progress...especially those rumors where both supply and demand sides of markets become intertwined (yeah...looking right at you Hubspot acquisition rumors) and how these upcoming cases could bring the lengthy dance with cookies is entered into evidence. All of these moves could also apply new and interesting pressure to the non-advertising revenue drivers of business at Google to start to answer the hypothetical question of what comes next after a breakup? Where will the next massive wave of revenue come from?

 

 

Image Credit: Image has been AI generated using Adobe Firefly Image 3 model.

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Palantir Q2 shines as US enterprise growth accelerates, eyes manufacturing, ERP with Warp Speed

Palantir Q2 shines as US enterprise growth accelerates, eyes manufacturing, ERP with Warp Speed

Palantir reported better-than-expected fiscal second quarter results as it posted 55% growth in its US commercial business.

The company reported second quarter net income of $134 million, or 6 cents a share, on revenue of $678 million, up 27% from a year ago. Non-GAAP earnings were 9 cents a share.

Wall Street was expecting second quarter earnings of 8 cents a share on revenue of $652.4 million.

US commercial revenue in the second quarter was $159 million, up 55% from a year ago. Palantir has leveraged boot camps and pilots to land enterprises for its AI platform. Palantir now has 295 US commercial customers.

Commercial accounts are critical for Palantir as it expands its base. Commercial revenue in the first quarter was $307 million, up 33% from a year ago. Government second quarter revenue was $371 million, up 23% from a year ago. US government revenue accounts for the bulk of Palantir's government sales.

According to Palantir, the company closed 27 deals over $10 million in the quarter.

As for the outlook, Palantir projected third quarter revenue between $697 million and $701 million with adjusted income from operations between $233 million to $237 million.

Palantir also raised its 2024 fiscal year outlook and projected revenue between $2.742 billion and $2.750 billion with US commercial revenue of $672 million, up about 47%. Palantir added that it expects adjusted operating income for the year to be between $966 million and $974 million with net income in each quarter.

In a letter to shareholders, Palantir CEO Alex Karp said the company is focused on growing its enterprise software business. Karp said:

"A premium was placed on developing software products whose principal purpose was to sell themselves. And a perception of value became more important than value itself. The rise and increasing sophistication of artificial intelligence capabilities have exposed the extent of dysfunction within enterprise software deployments. This was the era of thin technology and the abandonment of any real interest in results.

Those companies, however, are now being swept to the side. They attempted to seize the cultural and moral high ground at the expense of anything resembling a commitment to outcomes. And society, not to mention customers, have grown disinterested in their theater."

Palantir as ERP fix?

Speaking on Palantir's earnings conference call, CTO Shyam Sankar said the company will launch a new offering called Warp Speed "to power American reindustrialization."

The Warp Speed effort will be focused on manufacturing, said Sankar. He said:

"The software playbooks have also failed in manufacturing, and all the founders driving reindustrialization know it. This is why SpaceX built their own ERP. We created Warp Speed from our years of experience on the factory floors, helping customers build planes, trains, automobiles and even ships. Today we power production of jet engine satellites and weapon systems in the industrial base. Warp Speed built on AIP and our industrial AI and with ontology is the modern American manufacturing operating system that reimagines how to bend atoms better with bits. 

At the dawn of World War Two we didn't have a defense industrial base. We had an American industrial base. Chrysler made missiles and General Mills wasn't just a cereal company. This is also what our future must look like. It is clear that the nation must reindustrialize and mobilize at warp speed to win." 

Palantir's plans with Warp Speed are notable given the flux in the enterprise software market. 

Sankar explained Warp Speed and where it hopes to fit in with the ERP space. Sankar said Warp Speed will touch on ERP, but also product lifecycle management (PLM) and other components. Sankar said:

"I think the kind of congenital defect for ERP is that it was designed historically in the '70s for the CFO. Why would you do that? If you were starting over today, you would build software that was designed for the head of production that was focused principally on production and then integrate with your extant legacy systems 

I think the big opportunity is to go to the big legacy manufacturers and you say 'this sounds crazy.' If you go to new manufacturers, the one that are powering the reindustrialization of the country, they all know this. They also know they can't afford the 300 engineers it would take to build this completely from scratch, or the time it would take to do that. So there's this very powerful role of taking AIP building the applications on top of it.

We live in a world today where it's $1 of license for $9 of implementation. That never seems to quite work. Who is really happy with the implementation of these systems?"

Other takeaways

Here's a look at some other takeaways from Karp's letter that were reiterated on the conference call:

  • He said large language models (LLM) as they stand today lack enterprise value. "The large language models that have transfixed the world will only be capable of transforming the work of a multinational business or a defense agency’s operations if their power is unleashed within the context of an enterprise software system that has an opinionated view of the world—its idiosyncratic objects, logic, and physics," said Karp, who added that data ontology is critical.
  • "The persistent and unbridled demand for our software, for an effective enterprise platform that makes artificial intelligence capabilities useful to large institutions, shows no sign of relenting," said Karp. "The right software properly wielded can and should transform an institution. And it is that ambition that has won over not only our existing partners but that of an entirely new cohort."
  • Palantir had 295 US commercial customers, which now accounts for half of the total number of customers.
  • Trailing 12-month revenue in Palantir's US government business topped $1 billion.

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CrowdStrike to Delta: Don't blame us for your IT outage response

CrowdStrike to Delta: Don't blame us for your IT outage response

CrowdStrike's legal counsel said in a letter to Delta Airlines that it isn't to blame for its "decisions and response to the IT outage."

Delta Airlines said it would sue CrowdStrike for $500 million in damages after an update led to a global IT outage involving Microsoft software. Delta CEO Ed Bastian told CNBC that it has no choice but to sue CrowdStrike for damages. CrowdStrike CEO George Kurtz has been called to testify before Congress about the outage

In a letter to Delta sent to the press, CrowdStrike external counsel said that if the airline pursues the lawsuit it will have to explain how failed to respond well to the IT outage.

CrowdStrike counsel said that Delta turned down or didn't respond to help from the security vendor. Delta will have to also explain "why Delta competitors, facing similar challenges, all restored operations much faster" as well as its actions in response to the incident.

In addition, CrowdStrike noted that its liability is contractually capped "at an amount in the single-digit millions."

Add it up and CrowdStrike said that Delta's IT infrastructure and resiliency is also in question. CrowdStrike demanded that Delta preserve all records and communications related to the response.

My take

We've seen these scathing letters between customers and vendors before--usually in ERP failures. Usually, these lawsuits are settled out of court because the trials are messy. Here's the unhappy triad: Vendor, customer and systems integrator. The three parties all blame each other and it's a bad look for everyone.

The CrowdStrike-Delta battle will also be settled out of court, once it's clear that the public back-and-forth benefits neither party. For CrowdStrike, the forceful response is designed to prevent other customers from suing.

What remains to be seen is the following:

  • How much of the CrowdStrike-Microsoft outage is covered by insurance? Probably not much.
  • If CrowdStrike liability is capped in each customer contract, what is the total sum across the customer base?
  • What is the long-term fallout to CrowdStrike's brand?
  • How difficult is it to switch cybersecurity platforms?
  • Are the resiliency issues surfaced by the CrowdStrike outage widespread beyond just one vendor?
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