Ethereum’s TEN Secures $9M for Smart Contract Encryption

The Encryption Network (TEN), an innovative Layer 2 platform built on Ethereum, has successfully raised $9 million in funds to advance its vision of delivering complete encryption for smart contracts developed by coders. TEN confronts the hurdles of upholding robust security in tandem with performance optimization. It aspires to be a solution that effectively integrates the capabilities of pre-existing Layer 2 frameworks like Optimistic Rollups and ZK-Rollups. Leading the investment charge was the esteemed banking consortium R3, alongside notable contributions from industry giants such as the exchange KuCoin, investment platform Republic Crypto, and venture firms like Big Brain Holdings, Magnus Capital, and DWF Labs. TEN’s success in this round marks a significant step toward enhancing data privacy on the Ethereum network, providing the developer community with encrypted smart contract capabilities designed for a new era of secure and efficient blockchain applications.

Progress and Expectations

TEN is making progress in its testnet phase toward becoming a top-tier choice for on-chain gaming, DeFi, integrating real-world assets, and serving institutional blockchain needs. With a significant investment boost, TEN is poised to grow its team of experts, many of whom hail from R3, and is gearing up for forthcoming milestones. These include the anticipated launch of its own governance token in June and the mainnet going live in October.

This development occurs amid a wave of investor enthusiasm in the Ethereum Layer 2 (L2) arena, where the market cap has soared past $32 billion, reflecting a high demand for more scalable and efficient blockchain solutions. In this vibrant sector, companies like Eclipse Labs and Ether.Fi have secured substantial funding, with $50 million and $23 million respectively, highlighting a trend towards bolstering Ethereum’s base technology to meet the growing scalability and functionality needs.

Explore more

How Firm Size Shapes Embedded Finance Strategy

The rapid transformation of mundane business platforms into sophisticated financial ecosystems has effectively redrawn the competitive boundaries for companies operating in the modern economy. In this environment, the integration of banking, payments, and lending services directly into a non-financial company’s digital interface is no longer a luxury for the avant-garde but a baseline requirement for economic viability. Whether a company

What Is Embedded Finance vs. BaaS in the 2026 Landscape?

The modern consumer no longer wakes up with the intention of visiting a bank, because the very concept of a financial institution has migrated from a physical storefront into the digital oxygen of everyday life. This transformation marks the definitive end of banking as a standalone chore, replacing it with a fluid experience where capital management is an invisible byproduct

How Can Payroll Analytics Improve Government Efficiency?

While the hum of a government office often suggests a routine of paperwork and protocol, the digital pulses within its payroll systems represent the heartbeat of a nation’s economic stability. In many public administrations, payroll data is viewed as little more than a digital receipt—a record of transactions that concludes once a salary reaches a bank account. Yet, this information

Global RPA Market to Hit $50 Billion by 2033 as AI Adoption Surges

The quiet hum of high-speed data processing has replaced the frantic clicking of keyboards in modern back offices, marking a permanent shift in how global businesses manage their most critical internal operations. This transition is not merely about speed; it is about the fundamental transformation of human-led workflows into self-sustaining digital systems. As organizations move deeper into the current decade,

New AGILE Framework to Guide AI in Canada’s Financial Sector

The quiet hum of servers across Canada’s financial heartland now dictates more than just basic transactions; it increasingly determines who qualifies for a mortgage or how a retirement fund reacts to global volatility. As algorithms transition from the shadows of back-office automation to the forefront of consumer-facing decisions, the stakes for oversight have never been higher. The findings from the