Why More Growth Companies Are Looking Beyond the Traditional IPO
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Enhanced Games at Resorts World Las Vegas. PHOTO: FACEBOOK@ENHANCEDGAMES
Enhanced Games reached the public markets in less than six months.
In an era where traditional IPOs can take more than a year to complete, the speed of the company’s merger with A Paradise Acquisition Corp. (NASDAQ: APAD) stands out, particularly given the significantly tighter regulatory scrutiny surrounding SPAC transactions since 2021.
The transaction highlights why some growth-stage companies are evaluating special-purpose acquisition companies (SPACs) as a viable alternative to the traditional IPO process.
Led by Dr. Aron D’Souza and backed by investors including Peter Thiel and Christian Angermayer, Enhanced Games announced its Business Combination Agreement with APAD in November 2025. The transaction closed in May 2026, bringing the company to the public markets materially faster than the timeline typically associated with a conventional IPO.
For decades, the traditional IPO has been considered the default route for private companies entering the public markets. But for many high-growth businesses today, the process has become increasingly slow, expensive, and difficult to execute efficiently.
A conventional IPO can take well over a year to prepare, involving extensive audits, regulatory reviews, underwriter coordination, investor roadshows, and careful timing against market conditions. During that period, companies remain exposed to volatility, shifting investor sentiment, and delayed access to capital. According to EY, many companies postponed planned IPOs amid market volatility and uncertainty surrounding U.S. tariff announcements, highlighting how sensitive IPO execution can be to broader market conditions.
For businesses operating in fast-moving industries, timing matters. Delayed access to liquidity can slow expansion, hiring, acquisitions, partnerships, and product development at critical stages of growth.
That is one reason why the merger between Enhanced Games and APAD is notable. The SPAC structure allowed Enhanced Games to negotiate valuation, governance terms, and financing arrangements early in the process, compressing many of the steps normally associated with a conventional IPO into a single transaction.
Enhanced Games operates across sports, media, performance science, and wellness, sectors that require significant upfront investment and rapid execution. Earlier access to public capital provided the company with liquidity, visibility, and strategic flexibility at an important stage of growth.
The public listing also gives the company tradable equity that can potentially support acquisitions, partnerships, athlete compensation structures, sponsorship arrangements, and future fundraising initiatives. These capabilities are particularly relevant in industries evolving as rapidly as sports entertainment, wellness, and human-performance science, where speed itself can become a competitive advantage.
The deal also highlights one of the SPAC market’s core advantages: the ability to combine capital raising and public-market entry within a single process.
Beyond speed, the SPAC structure offered Enhanced Games another major advantage: earlier visibility into valuation.
In a traditional IPO, pricing is largely determined near the end of the process through institutional book-building and investor demand during the roadshow phase. Even late-stage IPO candidates can face valuation cuts, downsized offerings, or postponed listings if market conditions weaken.
Recent IPO markets have repeatedly demonstrated this risk. Instacart went public in 2023 at an approximate US$9.9 billion valuation, which is dramatically below the US$39 billion private valuation it achieved during the 2021 market peak. Similarly, WeWork’s failed IPO attempt became one of the clearest examples of how rapidly investor sentiment can shift during the IPO process.
SPAC mergers operate differently.
Enhanced Games secured an implied enterprise valuation of approximately US$1.2 billion months before closing the transaction. While the merger still required SEC review and shareholder approval, the company gained significantly greater visibility into deal economics much earlier in the process.
That certainty is particularly valuable for growth companies whose valuations are tied more closely to long-term platform potential than near-term profitability.
Rather than relying entirely on shifting IPO market sentiment, the SPAC structure allowed Enhanced Games to negotiate around its broader growth strategy and future expansion plans from the outset.
The Enhanced Games transaction also reinforces why some growth-stage companies evaluate SPACs as an alternative to the traditional IPO process.
Traditional IPO investors often prefer businesses with long operating histories, stable earnings, and predictable growth profiles. Many expansion-stage companies simply do not fit that model yet, even if their long-term opportunities are substantial.
SPACs offer a different pathway.
Instead of waiting years to achieve the operational maturity typically expected in a conventional IPO, companies can access public-market capital earlier while still in growth mode.
For Enhanced Games, early access to the public markets provides more than capital. Public equity can support acquisitions, partnerships, athlete compensation structures, sponsorship arrangements, and future fundraising efforts. These capabilities are particularly important in sectors evolving as rapidly as sports entertainment, wellness, and human-performance science, where speed itself can become a competitive advantage.
The transaction also highlights how the SPAC market has evolved since the speculative boom of 2020 and 2021.
Today’s de-SPAC environment operates under significantly tighter regulatory scrutiny, including enhanced disclosure requirements, greater SEC oversight, and stricter treatment of projections and liability standards.
The Harvard Law School Forum on Corporate Governance noted that redemption rates spiked in 2022, in some cases approaching 100%, contributing to a significant slowdown of the SPAC activity.
In response to rising investor concerns and regulatory pressure, the U.S. Securities and Exchange Commission adopted enhanced SPAC disclosure and liability rules in 2024 designed to align de-SPAC transactions more closely with traditional IPO standards. Sponsors also faced greater pressure to demonstrate financing certainty, stronger disclosures, and more credible post-merger execution.
Enhanced Games completed its transaction within this more disciplined environment.
Its Form S-4 included audited financial statements, governance disclosures, transaction details, and extensive risk-factor analysis subject to SEC review. The company also supplemented SPAC trust proceeds with a separately arranged US$40 million PIPE financing commitment designed to strengthen liquidity and improve deal certainty.
That structure reflects a more institutional and disciplined SPAC market than the speculative wave seen several years ago.
The Enhanced Games transaction demonstrates that, despite tighter regulation and a far more selective market environment, SPACs can offer certain growth companies a practical alternative to the traditional IPO.
For businesses prioritising speed, capital access, and execution certainty, a well-structured de-SPAC transaction may provide a more efficient route to the public markets, particularly when supported by credible financing, disciplined structuring, and strong investor backing.
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Robots that learn on the job: AgiBot tests reinforcement learning in real-world manufacturing.
Updated
January 8, 2026 6:34 PM

A humanoid robot works on a factory line, showcasing advanced automation in real-world production. PHOTO: AGIBOT
Shanghai-based robotics firm AgiBot has taken a major step toward bringing artificial intelligence into real manufacturing. The company announced that its Real-World Reinforcement Learning (RW-RL) system has been successfully deployed on a pilot production line run in partnership with Longcheer Technology. It marks one of the first real applications of reinforcement learning in industrial robotics.
The project represents a key shift in factory automation. For years, precision manufacturing has relied on rigid setups: robots that need custom fixtures, intricate programming and long calibration cycles. Even newer systems combining vision and force control often struggle with slow deployment and complex maintenance. AgiBot’s system aims to change that by letting robots learn and adapt on the job, reducing the need for extensive tuning or manual reconfiguration.
The RW-RL setup allows a robot to pick up new tasks within minutes rather than weeks. Once trained, the system can automatically adjust to variations, such as changes in part placement or size tolerance, maintaining steady performance throughout long operations. When production lines switch models or products, only minor hardware tweaks are needed. This flexibility could significantly cut downtime and setup costs in industries where rapid product turnover is common.
The system’s main strengths lie in faster deployment, high adaptability and easier reconfiguration. In practice, robots can be retrained quickly for new tasks without needing new fixtures or tools — a long-standing obstacle in consumer electronics production. The platform also works reliably across different factory layouts, showing potential for broader use in complex or varied manufacturing environments.
Beyond its technical claims, the milestone demonstrates a deeper convergence between algorithmic intelligence and mechanical motion.Instead of being tested only in the lab, AgiBot’s system was tried in real factory settings, showing it can perform reliably outside research conditions.
This progress builds on years of reinforcement learning research, which has gradually pushed AI toward greater stability and real-world usability. AgiBot’s Chief Scientist Dr. Jianlan Luo and his team have been at the forefront of that effort, refining algorithms capable of reliable performance on physical machines. Their work now underpins a production-ready platform that blends adaptive learning with precision motion control — turning what was once a research goal into a working industrial solution.
Looking forward, the two companies plan to extend the approach to other manufacturing areas, including consumer electronics and automotive components. They also aim to develop modular robot systems that can integrate smoothly with existing production setups.