Pep Invest

$SIVE $CRDO $OUST $INFQ $APLD $FLY I built pepresearch.tech for investors who want to understand the companies they follow: what they supply, who buys their products and which developments could change the investment case. The platform covers 52 companies across photonics, AI infrastructure, semiconductors, quantum, space, robotics and more. Coverage includes my own holdings and widely followed stocks on X. You can explore company profiles, customers and partnerships, documented supply chains, earnings dates and commercial milestones. Research includes links to original sources, the investment thesis and the risks worth watching. Full platform access is included with an active Pep Invest X subscription, alongside my exclusive analysis, trade ideas and alerts. You can browse the company directory and read two complete sample profiles $AXTI and $ALMU before subscribing. Take a look and tell me which company you’d like me to cover next 👇 teapawt.net/Pep_Invest/creator-sub…

$SIVE has a technological advantage that I believe deserves far more attention: the precision with which its lasers can be integrated into silicon photonic chips. A laser can deliver excellent optical performance in a laboratory and still be too expensive or difficult to manufacture at scale. Light must travel from a microscopic laser waveguide into an equally small silicon or silicon-nitride waveguide. Even tiny positioning errors can cause optical losses, reducing the amount of usable light entering the photonic circuit. This becomes particularly important when manufacturers need to assemble thousands or millions of optical components with consistent performance. Its proprietary InP100 manufacturing platform includes etched laser facets, self-aligned reference markers and specially engineered surfaces for high-precision integration. $SIVE specifies vertical alignment surfaces with an accuracy of just ±5 nanometers relative to the optical mode center. That's 0.005 micrometers. Through its collaboration with imec and advanced semiconductor assembly specialists, $SIVE lasers have already demonstrated flip-chip integration onto silicon photonics wafers with positioning accuracy better than 300 nanometers. Imec has also reported optical coupling losses below 2 dB using this integration approach. Why does this matter? Because precisely aligning individual optical components can become a major manufacturing bottleneck. Passive alignment allows manufacturers to position lasers using predefined physical and optical reference features, reducing the dependence on time-consuming active alignment procedures. In January 2026, Sivers Photonics was granted a U.S. patent covering alignment features for etched-facet photonic devices. To me, this illustrates something important about $SIVE. The company isn't simply developing higher-performance lasers. It's also engineering the manufacturing interfaces required to integrate those lasers into increasingly complex photonic systems. That could become extremely valuable as silicon photonics moves from specialized applications toward high-volume AI infrastructure.

$SIVE describes itself as a “key strategic supplier to many Fortune 100 and Silicon Valley customers.” Not just a supplier. A key strategic supplier. Think about that. A relatively small photonics company claiming strategic importance to some of the world's largest technology companies. The full customer list remains undisclosed, but the implications could be enormous as demand for advanced optical technologies accelerates. I genuinely believe the market is significantly underestimating what $SIVE could become.

$SVCO is trading at a market cap of just $231 million, which I find quite interesting considering its customers and partnerships. $NVDA – AI-powered semiconductor simulation and digital twins $MU – Longstanding customer relationship and $10M investment $TSM – Semiconductor IP on its advanced N2P process Silvaco develops software that semiconductor companies use to design and simulate chips before manufacturing. With chip designs becoming increasingly complex, I believe this technology will only become more important.

$XNDU is trading nearly 93% below its all-time high of $42.44. From $2.94, that's approximately 1,344% upside just to return to its previous peak. $XNDU is developing photonic quantum computers alongside @PennyLaneAI, its open-source quantum software platform. Together with $AMD, it developed Backline, enabling quantum-classical communication with latency below 3 microseconds. That's particularly important for real-time quantum error correction. And look at its partnerships: $AMD $ASML $GFS $LMT Rolls-Royce Volkswagen Mitsubishi Chemical Few emerging quantum companies have relationships spanning so many critical parts of the technology stack. Commercialization remains challenging, but the combination of photonic hardware, proprietary software and major industrial partners is exactly why I believe $XNDU has enormous long-term potential.

Out of 357 votes, $SIVE dominated with 75.1%, followed by $NVTS (11.5%), $TE (9%) and $EOSE (4.5%). I actually agree with the majority. I also believe $SIVE has the biggest recovery potential in 2027, with $TE being my second choice. Of course, the results might be a little biased since I suspect many of my followers are $SIVE shareholders themselves

Three stocks I have significantly increased my positions in during this selloff: $ALMU, $TE and $LWLG. Despite the sharp declines, my conviction in their long-term potential has only grown. $ALMU is one of my highest-conviction photonics bets next to $SIVE. Scalable compound semiconductors on silicon, $TSEM, NASA, U.S. Navy contracts and potential CHIPS Act funding. $TE is building a vertically integrated American solar supply chain, with its 2.1 GW Texas cell factory targeting production in Q1 2027. $LWLG might be the most overlooked. Proprietary electro-optic polymers enabling dramatically faster, lower-power optical modulators, with integration into $TSEM PH18 platform underway. Three very different companies, but all positioned in critical technologies with significant commercialization potential. I'm buying the fundamentals, not the sentiment. For more in-depth research, supply chain analysis and company insights, explore Pep Research, included with my X subscription. Subscribe here 👇 teapawt.net/Pep_Invest/creator-sub…

How much money have you invested buying the dip during this bear market?

Pre-market is looking good $TE +6.10% $CRNC +5.08% $ALMU +5.03% $HQ +4.97% $XNDU +3.91%

$SIVE, a laser can stay continuously on while the optical system transmits trillions of bits per second. Understanding that separation is a big part of why I’m invested. In an externally modulated optical transmitter, the laser supplies a steady light source. A separate component, the modulator, encodes the data onto that light at extremely high speed. $SIVE develops the continuous-wave lasers used in these architectures. That makes the investment case particularly interesting to me. Faster optical connections require advances across the entire system, including sufficient laser power, precise wavelength control and efficient coupling into the photonic chip. Every stage introduces optical losses. Enough usable light has to reach the receiver while the complete system stays within its power and temperature limits. So the commercially important specification extends well beyond how many milliwatts a laser produces in isolation. Customers need performance after integration, across operating temperatures, with consistent manufacturing quality. $SIVE 1310 nm DR8 laser, for example, is explicitly designed for external modulation and offers 70 mW of continuous optical output. Its portfolio also includes multi-wavelength sources, allowing different optical channels to carry data in parallel.

At $18.71, everyone wanted $LWLG. At $31.79, investors were chasing $ALMU. Today, they're trading around $4.15 and $6.61. Both have collapsed roughly 78–79% from their 2026 highs. But here's what most investors overlook: $LWLG would need to gain approximately 351% to revisit its May high. $ALMU would need to gain approximately 381%. Meanwhile, both companies are positioning themselves in one of AI infrastructure's most promising sectors: next-generation photonics. $LWLG is advancing electro-optic polymer modulators, with important foundry developments involving $GFS, $MRVL and $TSEM. $ALMU is developing scalable photonics technology that could reduce dependence on constrained InP substrates. Its partnership with $TSEM supports the transition toward large-scale semiconductor manufacturing, while contracts with the U.S. Navy strengthen its position in advanced optical sensing and high-speed photodetectors. On top of that, the company has secured a CHIPS funding letter of intent worth up to $30M. Commercial execution remains a significant risk for both companies. But I believe investors could be seriously underestimating their long-term potential.

At $51.50, everyone wanted $MRAM. At $9.86, investors were chasing $MX. At $34.17, $NVTS was one of the hottest power semiconductor stocks. Today, they're trading at just $12.79, $2.37 and $8.41. All three have collapsed roughly 75% from their 52-week highs. But here's what most investors overlook: $MRAM would need to gain approximately 303% to revisit its previous high. $MX would need to gain approximately 316%. $NVTS would need to gain approximately 306%. Meanwhile, all three companies are positioning themselves in critical areas of next-generation semiconductor infrastructure. $MRAM is advancing persistent memory technology for AI servers, aerospace and defense. Its collaboration with $MXL targets next-generation AI memory architectures, while its partnership with $TDY and a $40M agreement with a U.S. defense prime contractor strengthen its position in mission-critical applications. The company has also demonstrated the world's first CXL-connected MRAM platform. $MX is expanding into high-voltage silicon carbide technology through its strategic partnership with $NVTS. Navitas agreed to invest $5M at $3.42 per share, significantly above Magnachip's current market price. This partnership provides access to advanced GeneSiC technology and opens opportunities in AI infrastructure, power grids and industrial electrification. $NVTS is working directly with $NVDA on next-generation 800V DC power architectures for AI data centers. Its collaboration with $MCHP and manufacturing partnership with $GFS further strengthen its technological and manufacturing capabilities ahead of the expected transition toward higher-voltage AI infrastructure. Memory efficiency, power conversion and advanced semiconductor manufacturing are becoming increasingly important as AI infrastructure expands.

$ALMU $CRWV $GLXY $HQ $IONQ $LPTH

$IREN, $CIFR, $FLNC, $OSS and $TSEM are now available. Each company comes with detailed research covering technology, supply chains, strategic partnerships, upcoming catalysts, financials and long-term growth opportunities. I'm continuously expanding the platform to give investors a deeper understanding of the companies and technologies shaping the future. Access to Pep Research is included at no additional cost for all my X subscribers. teapawt.net/Pep_Invest/creator-sub…

Which stock do you think has the biggest recovery potential in 2027?

$OSS is seriously underrated, in my opinion. Just look at its ecosystem: $NVDA, the U.S. Navy, Safran Federal Systems. We're talking about rugged AI computing, military applications, autonomous systems, and edge AI.