Technology
Rivian inches closer to profitability but warns ‘changes to government policies’ could hurt
Rivian’s cost-cutting measures have gotten it a lot closer to profitability, but the company is warning that 2025 could still be a challenging year — especially because of the whorl of uncertainty caused by the new Trump administration.
The company announced Thursday its fourth-quarter and full-year 2024 financial results, and along with it, shared plans to deliver between 46,000 and 51,000 EVs across 2025. Rivian cautioned that “changes to government policies and regulations, and a challenging demand environment” could affect those results, according to the shareholder letter the EV maker released alongside its results.
Rivian didn’t specify what those changes might be, but Trump said on the campaign trail that he was inclined to find a way to kill the $7,500 federal EV tax credit. Friend of the Trump administration Vivek Ramaswamy has also called for the clawback of a $6.6 billion loan from the Department of Energy to build a plant in Georgia. That loan was finalized three days before Trump took office.
“We’re really looking forward to working with the new administration and Department of Energy on our loan, and we share in the President’s desire to bring jobs back to the US,” Rivian’s chief financial officer Claire McDonough said on a conference call Thursday, noting that the company plans to create 7,500 manufacturing jobs at the planned Georgia plant. She said later in the call that Rivian is planning to take a hit as big as “hundreds of millions” of dollars related to tariffs, any loss of EV credits, and other policy changes.
“We really believe, and we’re very aligned with the administration on this, that the U.S. needs to continue to be a world leader in this regard, and our investment into electronics, into software, into autonomy and AI — these are really key areas for us as a country to continue to exercise a leadership position in,” CEO RJ Scaringe said on the call.
Rivian’s cost-cutting tear
Rivian spent much of 2024 on a cost-cutting tear. It laid off 10% of its workforce in February, and rolled out simplified, cheaper-to-make versions of its flagship EVs — the R1T pickup and the R1S SUV — in June. The company ended up changing 600 parts on those vehicles to drive down manufacturing costs, while also revamping its electric architecture and software user interface.
Changes like those helped Rivian notch $170 million of positive gross profit in the final quarter of 2024 – though $60 million of that came from software and services.
Rivian reported $1.7 billion in revenue for the fourth quarter, a 32% increase from the same period in 2023. The bulk of its Q4 revenue — about $1.5 billion — came from the sale of 14,183 vehicles as well as $299 million from the sale of zero-emissions regulatory credits to automakers. For the year, Rivian reported $325 million in revenues from the sale of regulatory credits.
Revenue from software is increasingly playing an important role. Rivian generated $214 million from software and services in the fourth quarter, double the amount from the same-year ago period. Rivian reported $484 million in revenue for 2024 from software and services.
Rivian may be in the business of building and selling EVs, but its future is also largely pinned to software, namely through a lucrative joint venture with Volkswagen Group.
Revenue from software was primarily driven by charging and subscriptions fees, repair and maintenance services, and new vehicle electrical architecture and software development services provided by the joint venture, according to Rivian.
Gen AI comes to Rivian
The company has turned to generative AI as one tool to streamline customer service and reduce costs. The idea is to use AI to automate processes and “greatly reduce administrative overhead on all non-repair tasks,” the company said in its shareholder letter.
What that looks like in practice is an AI assistant, or chatbot, integrated into the Rivian app. The company rolled out a beta version in the Rivian mobile app for R1 customers this past December.
The AI assistant was built using a combination of in-house AI agent infrastructure and a third-party large language models, according to a Rivian spokesperson, who added the company has guardrails in place to limit the conversation to Rivian service and guide-related questions.
The AI assistant was designed to answer questions about service needs and general questions about the vehicle. A company spokesperson said it can also do basic troubleshooting, collect necessary information for service, and answer general questions about the vehicle.
This story has been updated with information from Rivian’s quarterly earnings call.
Technology
The Case for Custom eLearning Platforms: Why Organizations Are Making the Switch
The corporate eLearning market has exploded in recent years, growing over 800% since 2000. As the demand for eLearning continues to accelerate, more and more organizations are finding that off-the-shelf solutions cannot keep pace with their training needs. This has led many companies to make the switch to custom-built eLearning platforms tailored specifically for their requirements.
There are several key reasons driving the demand for customized eLearning tools:
Greater Flexibility and Scalability
Generic eLearning software packages often impose rigid constraints that limit their ability to adapt to an organization’s evolving needs. Meanwhile, the “one-size-fits-all” approach fails to support the personalized learning critical for employee development. Custom platforms provide flexibility to add and modify features to match ever-changing business goals. As companies scale training across global workforces, custom solutions built on cloud infrastructure can scale seamlessly to handle growing demand.
Deeper Integration Across Systems
Smooth integration with existing HR, LMS, and other business systems is critical for optimizing training workflows. However, off-the-shelf tools rarely integrate well, creating data and process siloes. Custom platforms can tightly integrate role-based learning paths with core business applications, sync user profiles, enable single sign-on, and more. This level of integration catalyzes more impactful training function.
Better Data and Analytics
Generic software severely limits access to data insights that drive improvement. Custom platforms unlock a trove of analytics on content consumption, learner progression, platform adoption, and real-time feedback. Integrated analytics dashboards and APIs allow businesses to derive deep visibility across the learner lifecycle. These insights help continuously enhance learner experience, target development gaps, and demonstrate direct training ROI.
Enhanced Learner Engagement
For modern learners accustomed to consumer-grade digital experiences, poor platform usability quickly erodes engagement. Custom designs allow companies to incorporate familiar features from popular apps and websites while optimizing for their audience. Adaptive learning approaches further personalize content to individual styles and needs. With modular component architecture, custom platforms stay on the cutting edge of new modalities like AR/ VR to captivate learners.
Brand and Culture Alignment
Off-the-shelf tools impose a generic and often disruptive experience that clashes with existing brand identity and culture. In contrast, custom platforms allow organizations to carry over familiar styling, voice, and workflow patterns. Consistency in experience preserves brand recognition while smoother onboarding leads to wider adoption across all employee groups. Over time, the platform can evolve alongside cultural changes as well.
While custom elearning tools require greater upfront investment, for enterprise training needs, the long-term benefits far outweigh the costs. The ability to mold platforms to current and future needs results in greater leverage from learning spend.
As businesses demand ever-more from their learning technology, custom solutions provide the agility needed for true scale. Rather than forcing training functions into the constraints of generic software, custom elearning development keeps the focus on nurturing talent and capabilities. For any organization looking to drive workforce transformation through learning, custom elearning represents the way forward.
Technology
Pintarnya raises $16.7M to power jobs and financial services in Indonesia
Pintarnya, an Indonesian employment platform that goes beyond job matching by offering financial services along with full-time and side-gig opportunities, said it has raised a $16.7 million Series A round.
The funding was led by Square Peg with participation from existing investors Vertex Venture Southeast Asia & India and East Ventures.
Ghirish Pokardas, Nelly Nurmalasari, and Henry Hendrawan founded Pintarnya in 2022 to tackle two of the biggest challenges Indonesians face daily: earning enough and borrowing responsibly.
“Traditionally, mass workers in Indonesia find jobs offline through job fairs or word of mouth, with employers buried in paper applications and candidates rarely hearing back. For borrowing, their options are often limited to family/friend or predatory lenders with harsh collection practices,” Henry Hendrawan, co-founder of Pintarnya, told TechCrunch. “We digitize job matching with AI to make hiring faster and we provide workers with safer, healthier lending options — designed around what they can reasonably afford, rather than pushing them deeper into debt.”
Around 59% of Indonesia’s 150 million workforce is employed in the informal sector, highlighting the difficulties these workers encounter in accessing formal financial services because they lack verifiable income and official employment documentation.
Pintarnya tackles this challenge by partnering with asset-backed lenders to offer secured loans, using collateral such as gold, electronics, or vehicles, Hendrawan added.
Since its seed funding in 2022, the platform currently serves over 10 million job seeker users and 40,000 employers nationwide. Its revenue has increased almost fivefold year-over-year and expects to reach break-even by the end of the year, Hendrawn noted. Pintarnya primarily serves users aged 21 to 40, most of whom have a high school education or a diploma below university level. The startup aims to focus on this underserved segment, given the large population of blue-collar and informal workers in Indonesia.
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“Through the journey of building employment services, we discovered that our users needed more than just jobs — they needed access to financial services that traditional banks couldn’t provide,” said Hendrawan. “We digitize job matching with AI to make hiring faster and we provide workers with safer, healthier lending options — designed around what they can reasonably afford, rather than pushing them deeper into debt.”

While Indonesia already has job platforms like JobStreet, Kalibrr, and Glints, these primarily cater to white-collar roles, which represent only a small portion of the workforce, according to Hendrawan. Pintarnya’s platform is designed specifically for blue-collar workers, offering tailored experiences such as quick-apply options for walk-in interviews, affordable e-learning on relevant skills, in-app opportunities for supplemental income, and seamless connections to financial services like loans.
The same trend is evident in Indonesia’s fintech sector, which similarly caters to white-collar or upper-middle-class consumers. Conventional credit scoring models for loans, which rely on steady monthly income and bank account activity, often leave blue-collar workers overlooked by existing fintech providers, Hendrawan explained.
When asked about which fintech services are most in demand, Hendrawan mentioned, “Given their employment status, lending is the most in-demand financial service for Pintarnya’s users today. We are planning to ‘graduate’ them to micro-savings and investments down the road through innovative products with our partners.”
The new funding will enable Pintarnya to strengthen its platform technology and broaden its financial service offerings through strategic partnerships. With most Indonesian workers employed in blue-collar and informal sectors, the co-founders see substantial growth opportunities in the local market. Leveraging their extensive experience in managing businesses across Southeast Asia, they are also open to exploring regional expansion when the timing is right.
“Our vision is for Pintarnya to be the everyday companion that empowers Indonesians to not only make ends meet today, but also plan, grow, and upgrade their lives tomorrow … In five years, we see Pintarnya as the go-to super app for Indonesia’s workers, not just for earning income, but as a trusted partner throughout their life journey,” Hendrawan said. “We want to be the first stop when someone is looking for work, a place that helps them upgrade their skills, and a reliable guide as they make financial decisions.”
Technology
OpenAI warns against SPVs and other ‘unauthorized’ investments
In a new blog post, OpenAI warns against “unauthorized opportunities to gain exposure to OpenAI through a variety of means,” including special purpose vehicles, known as SPVs.
“We urge you to be careful if you are contacted by a firm that purports to have access to OpenAI, including through the sale of an SPV interest with exposure to OpenAI equity,” the company writes. The blog post acknowledges that “not every offer of OpenAI equity […] is problematic” but says firms may be “attempting to circumvent our transfer restrictions.”
“If so, the sale will not be recognized and carry no economic value to you,” OpenAI says.
Investors have increasingly used SPVs (which pool money for one-off investments) as a way to buy into hot AI startups, prompting other VCs to criticize them as a vehicle for “tourist chumps.”
Business Insider reports that OpenAI isn’t the only major AI company looking to crack down on SPVs, with Anthropic reportedly telling Menlo Ventures it must use its own capital, not an SPV, to invest in an upcoming round.
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