Autonomous Electric Freight Trucks Scaling Up In Europe

cleantechnica.com Aug 18, 2026

Autonomous Electric Freight Trucks Scaling Up In Europe

Curated by Shubham · TechCapsules · Aug 18, 2026

AI-summarised brief · reviewed before publication

Einride and DAF Trucks announced a partnership to embed Einride’s Level 4 autonomous driving system, Einride Driver, into DAF’s upcoming electric truck platform. The collaboration, supported by TNO and type‑approval authorities, will test integration and safety interfaces in 2026, with full software commissioning slated for 2027. The initiative aims to address driver shortages and rising costs by enabling fully automated freight operations on public roads, building on similar North American programs. The joint effort seeks to accelerate commercial deployment of scalable, software‑defined autonomy in heavy‑duty transport.

💡 Why It Matters

· By combining DAF’s proven truck platform with Einride’s autonomous technology, the partnership could set a new industry benchmark for safe, large‑scale electric freight operations, potentially reshaping logistics efficiency and sustainability.

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Relativity Networks raises $22 million to bring a faster kind of fiber…

Relativity Networks secured $22 million in SAFE note funding from Rhapsody Venture Partners, Bell Ventures Inc., and Faster Than Glass LLC, and a $40 million order from an unnamed hyperscaler. The company specializes in hollow‑core fiber, which transmits data 30 % faster than conventional fiber by guiding light through a vacuum core. CEO Jason Eisenholz argues the reduced latency—down from five to 3.5 microseconds per kilometer—enables data centers to span larger distances while maintaining performance, potentially reshaping multi‑campus deployments.

💡 Faster fiber could let data centers expand geographically without sacrificing speed, altering how AI workloads are distributed across campuses. This shift may redefine the physical limits of large‑scale compute infrastructure.

robotics247.com · Aug 19

FORT Robotics goes public via business combination with Newbury Street II Acquisition…

FORT Robotics announced a business combination with Newbury Street II Acquisition Corp, creating a publicly traded entity named FORT Robotics Holdings, Inc. The deal values the combined company at a pro‑forma enterprise value of $556.6 million, with a pre‑money equity value of $500.0 million. Upon closing, the company will list on Nasdaq under the ticker “FROB.” Founded in 2018, FORT has supplied safety technologies to over 600 customers and is backed by investors such as Tiger Global, Mark Cuban Companies, Prologis Ventures, and Five Eleven Partners. The company also partnered with NVIDIA on the Halos for Robotics ecosystem.

💡 The listing gives investors direct access to a firm positioned at the forefront of physical AI safety, a critical component for scaling autonomous robotics across industries.

fortune.com · Aug 19

Exclusive: Accounting AI startup Rillet reaches unicorn status with $1 billion valuation.…

Rillet, a two-year-old startup developing an AI-native accounting platform, has secured a $100 million Series C funding round, achieving a $1 billion valuation and joining the ranks of AI-era unicorns. The investment was led by ICONIQ, with participation from Sequoia Capital, Andreessen Horowitz, Oak HC/FT, Bain Capital Ventures, and others. This marks Rillet’s third fundraise in twelve months, pushing total capital raised past $200 million. CEO Nicolas Kopp stated the company aims to alleviate the administrative burden on CFOs, allowing them to reclaim personal time rather than replacing finance professionals. Rillet currently serves over 600 customers, including Neuralink and Mercor, with 40% of its client base now outside the tech sector. ICONIQ’s Seth Pierrepont will join the board, citing Rillet’s leadership in AI-native accounting infrastructure.

💡 Rillet’s rapid expansion into non-tech industries like waste recycling and film production proves AI-native finance tools are becoming essential infrastructure for the broader economy, not just Silicon Valley. By enabling a three-person finance team to manage a $2 billion revenue operation, the platform demonstrates how AI agents can drastically reduce headcount requirements for complex financial oversight.

siliconangle.com · Aug 19

Inference chip startup Etched raises another $700M at $21B valuation

Inference chip startup Etched Inc. has secured an additional $700 million in funding, led by Jane Street, with participation from Kleiner Perkins, Sequoia, Andreessen Horowitz, Tiger Global, and Bain Capital Ventures. This latest round more than doubles the company’s valuation to $21 billion, following a recent $300 million investment backed by Nvidia Corp. Founded in 2021, Etched pivoted to creating inference accelerators supporting various model architectures. Its first prototype, manufactured by Taiwan Semiconductor Manufacturing Co., recently entered production. Jane Street became the first customer, installing an Etched-powered rack in its data center last month. Etched also operates a 2-megawatt AI cluster in San Jose for prospective clients. The startup claims its chips operate at under half the voltage of competitors, enabling higher FLOPs density. Additionally, Etched’s custom racks feature an internal interconnect that reportedly completes certain communication tasks in 700 milliseconds, compared to 4,000 milliseconds for rival chips.

💡 Etched’s rapid valuation surge and early adoption by a major financial firm validate the market’s shift toward specialized, energy-efficient hardware for AI inference. By demonstrating significant performance gains through low-voltage architecture and faster interconnects, the startup challenges established players to rethink efficiency standards in data center deployments.

techcrunch.com · Aug 19

Etched’s valuation doubles to $21B in a month

Etched announced a $700 million funding round that lifted its valuation to $21 billion, a jump from $10.3 billion in July and $5 billion in December. Jane Street led the investment, following a successful test of Etched’s AI inference hardware. The company’s new prefill chip and cluster‑scale memory aim to accelerate both the prefill and decode stages of AI inference, promising higher speeds and lower costs. Etched’s systems can run any frontier model, dispelling earlier concerns of model‑specific design.

💡 The rapid valuation surge signals a shift in AI hardware, positioning Etched as a viable alternative to Nvidia’s dominant AI factories. Its technology could redefine inference efficiency, influencing how data centers deploy and scale large language models.

cleantechnica.com · Aug 19

Pony AI Plans to Deploy 1,000 Autonomous Heavy Trucks

Pony AI announced plans to deploy 1,000 autonomous heavy‑duty electric trucks within two to three years, targeting long‑haul freight, bulk commodity transport, and port logistics. The company’s fourth‑generation trucks feature a 70% lower hardware cost than previous models and a 20,000‑hour service life. By the end of 2025, 200 trucks will be on the road, with a projected jump to 1,000 soon after. Pony AI’s strategy hinges on mature autonomous systems, reduced costs, and partnerships with manufacturers and logistics operators.

💡 The rollout signals a tipping point for autonomous electric freight, potentially reshaping supply chains and reducing emissions in heavy‑truck operations.