Daily News Coverage: Atoms, Etched, and Nokia Lead Funding and Infrastructure Innovation | July 28, 2026

The CODEW | Daily News Coverage (July 28, 2026)

The technology sector's investment and infrastructure buildout accelerated across multiple fronts this week. Travis Kalanick's industrial automation company Atoms closed a $1.7 billion funding round, AI chip startup Etched reached a $10.3 billion valuation on $300 million in new financing, Nokia advanced its autonomous networking strategy through partnerships with AWS and Databricks, and Terra Quantum demonstrated post-quantum cryptography integration for robotics and autonomous systems. Together, these developments signal that capital deployment and technical innovation are converging on physical-world automation, inference-optimized silicon, and self-managing network infrastructure.

Venture Capital & Startup Funding

Atoms Raises $1.7 Billion Led by Andreessen Horowitz for Physical AI Infrastructure.

Travis Kalanick's industrial automation company, Atoms, has raised $1.7 billion in a funding round led by Andreessen Horowitz, with participation from Bain Capital, Fifth Wall, and Uber. Ben Horowitz will join the company's board. The round represents one of the largest venture financings of 2026 and reconnects Kalanick with Uber, the company he founded and from which he departed as CEO in 2017.

Atoms is a rebranded holding company built atop Kalanick's post-Uber work, including CloudKitchens and the acquisition of Pronto, the heavy industry automation company run by his former Uber colleague Anthony Levandowski. Kalanick has described the company's mission as building a "wheelbase for robots" across mining, construction, heavy transport, and food production.

In a statement, Kalanick framed the investment as "fuel to complete the bits-to-atoms story arc we started at Uber, continued at CloudKitchens and will now finish at Atoms." Horowitz wrote that "just as computers transformed information, robots are set to do most of the menial work in the physical world," calling Kalanick "that rare kind of entrepreneur" capable of transforming heavy industry.

The funding reflects broader venture capital enthusiasm for physical AI. U.S. venture capital reached $412.7 billion in the first half of 2026, nearly 30% above all of 2025, with global totals approaching $510 billion. AI-focused investments dominate, with OpenAI and Anthropic alone accounting for approximately $217 billion in funding activity.

Etched Raises $300 Million at $10.3 Billion Valuation for AI Inference Hardware

Etched, a startup developing purpose-built AI inference chips, raised $300 million in a Series C funding round led by Sequoia Capital at a $10.3 billion valuation. Andreessen Horowitz, Jane Street, Diffusion, and SK Hynix participated. The company described the transaction as the highest valuation ever achieved by a Sequoia-led Series C.

The round brings Etched's total funding to more than $1 billion, less than one month after the company emerged from stealth. Etched is developing chips, memory systems, networking, and rack-scale infrastructure specifically for inference rather than adapting general-purpose processors to the workload. The company's hardware is architecture-agnostic, supporting mixture-of-experts models including DeepSeek and Qwen as well as non-transformer systems such as Mamba.

Etched has already booked approximately $1 billion in orders and opened an 80,000-square-foot facility near its San Jose headquarters to expand production and prototyping. The company argues that conventional AI hardware cannot provide the speed, power efficiency, and economics needed to operate advanced models at global scale, and that inference—not training—will become the dominant recurring workload as billions of users and applications continuously access AI systems.

Networking & Data Analytics:

Nokia Expands Autonomous Network Fabric on AWS, Completes Databricks Proof of Concept

Nokia announced two strategic collaborations designed to accelerate telecommunications operators' transition to self-managing networks. The company will run its Autonomous Network Fabric on Amazon Web Services, giving operators access to cloud infrastructure and AI services required to support Level 4 autonomous network operations, with commercial availability expected later in 2026.

Separately, Nokia completed a proof of concept with Databricks demonstrating a unified, cloud-agnostic telecom data platform. The project confirmed that the joint architecture could ingest massive volumes of real-time network data while supporting AI agents capable of making automated decisions across multiple operational domains. Engineers created data pipelines that could be developed once and deployed across both Databricks and open-source environments without modification.

The Autonomous Network Fabric combines intent-based orchestration, AI anomaly detection, root cause analysis, closed-loop resolution, digital twins, and agentic AI. Nokia reports that its autonomous networking portfolio has already helped operators reach automation rates above 90% and reduce network slice rollout time by up to 85%.

The collaborations reflect a broader industry shift: as networks become the backbone for AI infrastructure, their management must evolve from human-operated to AI-operated. The Databricks proof of concept is particularly notable for its substrate-agnostic approach—operators can use the same data pipelines across cloud and on-premises environments without rewriting applications or analytics pipelines.

Quantum Computing & Robotics:

Terra Quantum and Apex.AI Demonstrate Post-Quantum Cryptography for Autonomous Systems

Terra Quantum and Apex.AI announced the successful implementation of NIST-standardized post-quantum cryptography for secure communication between an Apex. AI-based robotic software environment and a cloud-based control system. The integration applies quantum-resistant cryptographic algorithms while preserving existing communication workflows and application architectures.

The demonstration targets a critical long-term challenge: as quantum computing advances, today's widely deployed public-key cryptographic algorithms are expected to become vulnerable. For software-defined vehicles, autonomous systems, connected robotics, and defense platforms designed to remain in service for decades, the transition to quantum-resistant security is becoming a procurement requirement.

The implementation combines Terra Quantum's post-quantum cryptography capabilities with Apex.OS, enabling secure edge-to-cloud communication without requiring changes to application logic or real-time messaging. The companies said the solution provides a practical blueprint for bringing quantum-safe security to long-lived connected systems.

The CODEW Insight

This week's developments across venture funding, networking, and quantum-safe robotics reveal a technology sector in transition from digital AI to physical AI. Atoms' $1.7 billion round and Etched's $10.3 billion valuation reflect investor conviction that the next phase of AI value creation will occur not in chat interfaces but in industrial automation, robotics, and inference infrastructure. The capital is following the thesis that software-defined physical systems—mining, construction, logistics, manufacturing—represent trillion-dollar opportunities for AI-driven productivity gains.

Nokia's autonomous networking advances and Terra Quantum's post-quantum cryptography demonstration address the foundational infrastructure requirements for this transition. Autonomous networks must manage the connectivity demands of millions of AI-enabled edge devices, while quantum-safe security must protect long-lived physical assets against future cryptographic threats. These are not speculative technologies; they are becoming procurement requirements for enterprises and governments planning infrastructure that will operate through the 2030s.

For technology leaders and investors, the strategic implication is that the AI investment cycle is broadening beyond frontier language models and cloud infrastructure into the physical layer of the economy. The companies that build the silicon, software, and security foundations for this transition will capture disproportionate value. The risk is that capital is flowing faster than operational readiness—many of the industrial AI use cases being funded remain years from production deployment at scale.

Sources

This report was prepared using official company announcements, press releases, regulatory filings, and reporting from reputable technology and business publications available as of July 28, 2026.

Primary references include TechCrunch (Atoms funding), PYMNTS (Atoms physical AI strategy), Reuters (Etched Series C funding), Yahoo Finance (Etched valuation and investor details), Pulse2 (Etched business model and orders), Nokia (AWS partnership and Databricks proof of concept), Intelligent CIO (Nokia autonomous networking analysis), Nvidia (Spectrum-6 product details), Terra Quantum (post-quantum cryptography press release), The Quantum Insider (Terra Quantum-Apex.AI integration analysis), and Bloomberg (Qualcomm pricing). Additional reporting and market context were verified against official company statements and publicly available regulatory information where applicable.

Daily News Coverage is The CODEW's daily newsroom report covering the latest developments across technology, including mergers and acquisitions, artificial intelligence, enterprise software, cybersecurity, cloud computing, semiconductors, startups, robotics, fintech, and digital infrastructure. Each article delivers timely reporting, verified facts, and industry context on the events shaping the global technology landscape.