Midnight and Webisoft to Build Privacy-Focused Dark Pool DEX

TheCryptoTimesPublicado em 2025-09-06Última atualização em 2025-09-06

Midnight has partnered with Webisoft to launch a decentralized dark pool trading platform built for institutional investors. The platform will operate on the Midnight network and use advanced zero-knowledge (ZK) proof technology to keep trades completely private.

Midnight confirmed the update on X, “Midnight Webisoft is joining forces with the midnight foundation to build an institutional-grade dark pool trading platform. This project will use Midnight’s privacy-enhancing technology to create a secure, fully anonymous decentralized exchange (DEX).”

The partnership solves a big problem for institutional finance in decentralized ecosystems: the necessity for privacy is at odds with the fact that public blockchains are open to everyone. It will also give developers access to a full set of DeFi tools.

Tackling Transparency Challenges in DeFi

As per the blog post, traditional decentralized exchanges reveal all buy and sell orders, exposing large trades to the market. Consequently, this transparency creates price slippage and inefficiencies when institutions execute big orders. A single trade can lead to panic or excitement, moving prices before transactions are complete.

Dark pools solve this issue by hiding trade intentions. Buyers and sellers match privately, and trades finalize at market-driven prices. This protects confidentiality until after execution, preventing disruption. 

Both companies intend to bring the model to Web3, combining privacy with avant-garde DeFi capabilities. The platform will be based on Midnight’s Zswap protocol to ensure secure atomic settlements.

It will also feature a private matching engine using multi-party computation (MPC) and custom wallet support through MetaMask Snap. Moreover, developers will access open-source tools to build privacy-preserving applications on the network.

Rational Privacy for Regulatory Balance

The project builds on Midnight’s concept of rational privacy. As Midnight Foundation President Fahmi Syed stated, “Privacy is a fundamental human and digital right, yet in our current systems, users give everything away just to participate.”

The platform allows institutions to confirm trades by using ZK proofs without revealing any sensitive information. This method tackles regulatory issues and ensures that user privacy is upheld.

Syed also emphasized, “Traditional blockchains make every transaction permanent and public. That’s a barrier to real-world adoption.”

The roadmap has confidential asset management, MPC-powered matching, and audited security reports. All components will be released under an Apache 2.0 license, encouraging broad developer adoption.


This collaboration could accelerate institutional adoption of DeFi by delivering privacy, compliance, and scalability, bridging the gap between traditional finance and decentralized ecosystems.

Also Read: Solana Approves Alpenglow Upgrade to Boost Network Speed

Mobile Only ImageMobile Only Image

Leituras Relacionadas

Chainlink Joins Project Pangea Push To Modernize FX Settlement For 47 Banks

Chainlink is participating in Project Pangea, a major initiative to modernize foreign exchange (FX) settlement between Europe and South Korea. The project involves FairSquareLab and a consortium of over 47 European and South Korean banks, managing more than $10 trillion in assets. The goal is to dramatically speed up FX settlement from the traditional T+2 cycle to near-instant T+0 settlement for a trade corridor exceeding $150 billion annually. This will be achieved using regulated euro- and Korean won-pegged stablecoins for atomic payment-versus-payment settlements, eliminating counterparty risk and delays. Critically, Chainlink is not replacing the existing SWIFT messaging network. Instead, its CCIP and Data Streams services will act as blockchain middleware, translating standard SWIFT/ISO 20022 messages into atomic swaps on a dedicated ledger. This allows banks to keep their familiar workflows while gaining faster settlement on the backend. Targeting live transactions by mid-2027, Project Pangea represents a significant institutional use case for Chainlink, positioning its technology as a bridge between legacy financial systems and new tokenized settlement rails.

bitcoinistHá 29m

Chainlink Joins Project Pangea Push To Modernize FX Settlement For 47 Banks

bitcoinistHá 29m

US Large Models Moving Towards Closure, In the Name of Security

Summary: The U.S. government has intervened to regulate the release of advanced AI models, citing national security concerns. This analysis details the events surrounding the controlled rollout of Anthropic's Mythos 5 and Fable 5 models and OpenAI's restricted GPT-5.6 release, following a Trump administration executive order. It questions the technical basis for the government's actions, noting that internal company safety assessments did not deem the models an unacceptable risk. The article draws parallels to the 1990s "Crypto Wars," where similar attempts to control encryption technology ultimately failed, harming U.S. competitiveness. Experts warn that opaque, non-technical regulatory processes could stifle innovation, concentrate power, and undermine the economic logic of the AI industry, especially as Chinese models embrace open-source development. The piece concludes that this marks a potential turning point toward a pre-approval era for U.S. AI, creating uncertainty for developers and potentially slowing the broad societal diffusion essential for a technology's success.

链捕手Há 1h

US Large Models Moving Towards Closure, In the Name of Security

链捕手Há 1h

Maple Finance rallies 20% after Kraken partnership – Will SYRUP’s rise continue?

Maple Finance's native token SYRUP surged roughly 20% following a partnership announcement with crypto exchange Kraken to provide on-chain, asset-backed financing. This development, coupled with a broader market recovery, fueled significant trading volume, particularly from U.S. investors. The protocol's fundamentals strengthened, with its Total Value Locked (TVL) increasing by $201 million to around $2.05 billion and Q2 gross revenue reaching $24.16 million. An ongoing token buyback program and rising Open Interest in perpetual markets, alongside a positive but modest Funding Rate, indicate sustained bullish sentiment. The overall outlook remains positive, suggesting potential for further short-term gains for SYRUP.

ambcryptoHá 3h

Maple Finance rallies 20% after Kraken partnership – Will SYRUP’s rise continue?

ambcryptoHá 3h

Ethereum down 45% YTD – So why do SharpLink and whales keep buying?

Despite Ethereum (ETH) being down 20-45% year-to-date amid broader crypto weakness, institutional and whale buying activity suggests growing long-term conviction. SharpLink, after an eight-month pause, purchased 5,000 ETH and later added $45.54 million in LSETH, increasing its total holdings significantly despite substantial unrealized losses. Similarly, a new whale wallet accumulated over 18,000 ETH worth $28.9 million in nine days, indicating strategic positioning for future price movements rather than short-term trading. However, this accumulation contrasts with spot Ethereum ETFs, which saw net outflows of $12.85 million recently, highlighting a divergence between direct treasury/whale buyers and ETF investors. While the persistent buying from these large holders may gradually ease selling pressure, a sustained recovery for Ethereum still depends on a reversal in ETF flows and a broader improvement in network demand and market sentiment.

ambcryptoHá 7h

Ethereum down 45% YTD – So why do SharpLink and whales keep buying?

ambcryptoHá 7h

Just now, DeepSeek V4 updates with DSpark, improving inference speed by 80%

DeepSeek has updated its DeepSeek V4 model with the DSpark speculative decoding framework, achieving a significant 60-85% speedup in generation for Flash models and 57-78% for Pro models while maintaining the same overall throughput. This engineering-focused update, rather than a core architectural change, introduces DSpark to address latency and throughput bottlenecks in high-concurrency production environments. DSpark combines high-throughput parallel generation with adaptive load-aware verification. Its key innovations include a semi-autoregressive generation architecture to model dependencies within token blocks and a hardware-aware confidence-scheduled verification system. This system uses a confidence head to predict token acceptance probabilities, allowing it to dynamically optimize verification length per request and allocate compute only to tokens with the highest expected payoff. The asynchronous scheduler is designed for real-world deployment, ensuring zero-overhead scheduling and continuous CUDA graph replay while preserving the target model's output distribution. In tests across mathematical reasoning, code generation, and daily dialogue, DSpark outperformed state-of-the-art models like Eagle3 and DFlash, increasing average acceptance length by 26.7%-30.9% and 16.3%-18.4% respectively on Qwen3 target models. DeepSeek also open-sourced DeepSpec, a full-stack codebase for training and evaluating speculative decoding draft models, providing a standardized toolkit that includes data preparation tools, model implementations, training code, and evaluation scripts.

marsbitHá 8h

Just now, DeepSeek V4 updates with DSpark, improving inference speed by 80%

marsbitHá 8h

Trading

Spot
活动图片

Categorias popularesright-arrow

Etiquetas Popularesright-arrow