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DynamoFL Raises $15.1M Series A to Scale Privacy-Focused Generative AI for the Enterprise

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Canapi Ventures and Nexus Venture Partners lead round to help company meet demand for LLM solutions that can safely train on sensitive, internal data

SAN FRANCISCO, Aug. 16, 2023 /PRNewswire/ — DynamoFL, Inc. today announced that it has closed a $15.1 million Series A funding round to meet demand for its privacy- and compliance-focused generative AI solutions. Coming off a $4.2M seed round, the company has raised $19.3M to date. DynamoFL’s flagship technology, which allows customers to safely train Large Language Models (LLM) on sensitive internal data, is already in use by Fortune 500 companies in finance, electronics, insurance and automotive sectors.

The round, co-led by Canapi Ventures and Nexus Venture Partners, also had participation from Formus Capital, Soma Capital and angel investors Vojtech Jina, Apple’s privacy-preserving machine learning (ML) lead, Tolga Erbay, Head of Governance, Risk and Compliance at Dropbox and Charu Jangid, product leader at Snowflake, to name a few.

The need for AI solutions that preserve compliance and security has never been greater. LLMs present unprecedented privacy and compliance risks for enterprises. It has been widely shown that LLMs can easily memorize sensitive data from its training dataset. Malicious actors can exploit this vulnerability to extract sensitive users’ personally identifiable information and sensitive contract values with carefully designed prompts, posing a major data security risk for the enterprise. The pace of innovation and adoption in the AI sector is punctuated by the rapidly changing global regulatory landscape, many of which require that enterprises detail these data risks, but enterprises today are not equipped to detect and address the risk of data leakage. In the EU, the GDPR and the impending EU AI act, along with similar initiatives in China and India, as well as AI regulation acts in the US, require that enterprises detail these data risks. However, today they are not equipped to detect and address the risk of data leakage.

More clearly needs to be done. As government agencies like the FTC explore concerns around LLM providers’ data security, DynamoFL’s machine learning privacy research team recently showed how personal information – including sensitive details about C-Suite executives, Fortune 500 corporations, and private contract values – could be easily extracted from a fine-tuned GPT-3 model. DynamoFL’s privacy evaluation suite provides out of the box testing for data extraction vulnerabilities and automated documentation to ensure enterprises’ LLMs are secure and compliant. 

“We deploy our suite of privacy-preserving training and testing offerings to directly address and document compliance requirements to help enterprises stay on top of regulatory developments, and deploy LLMs in a safe and compliant manner,” said DynamoFL co-founder Christian Lau.

“Privacy and compliance are critical to ensuring the safe deployment of AI across the enterprise. These are foundational pillars of the DynamoFL platform,” said Greg Thome, Principal at Canapi. “By working with DynamoFL, companies can deliver best-in-class AI experiences while mitigating the well-documented data leakage risks. We’re excited to support DynamoFL as they scale the product and expand their team of privacy-focused machine learning engineers.”

The company’s solutions help organizations privately fine-tune LLMs on internal data while identifying and documenting potential privacy risks. Organizations can choose to implement DynamoFL’s end-to-end suite or to implement their Privacy Evaluation Suite, Differential Privacy and/or Federated Learning modules individually.

DynamoFL was founded by two MIT PhDs who have spent the last six years researching the cutting-edge, privacy-focused AI and ML technology forming the basis of the company’s core offerings. The team balances expertise in the latest research in privacy-preserving ML, with researchers and engineers from MIT, Harvard and Cal-Berkeley, and experience in deploying enterprise-grade AI applications for Microsoft, Apple, Meta and Palantir, among other top tech companies.

“This investment validates our philosophy that AI platforms need to be built with a focus on privacy and security from day one in order to scale in enterprise use cases,” said DynamoFL CEO and co-founder Vaikkunth Mugunthan. “It also reflects the growing interest and demand for in-house Generative AI solutions across industries.”

“While AI holds tremendous potential to transform every industry, the need of the hour is to ensure that AI is safe and trustworthy. DynamoFL is set to do just that and enable enterprises to adopt AI while preserving privacy and remaining regulation-compliant,” said Jishnu Bhattacharjee, Managing Director, Nexus Venture Partners.”We are thrilled to have partnered with Vaik, Christian and team in their journey of building an impactful company.”

About DynamoFL, Inc.
DynamoFL is the world’s leading enterprise solution for privacy-preserving Generative AI. At DynamoFL we believe that prioritizing privacy, compliance and data security from day 1 while building Generative AI applications is the only way to responsibly scale AI and use it to augment human potential beyond what was thought possible. Our proprietary technology encapsulates state of the art optimization techniques for training and deploying Generative AI models along with a robust privacy training and evaluation suite incorporating paradigms like Federated Learning and Differential privacy to bring high performing end-to-end plug-and-play Generative AI to global enterprises.

About Nexus Venture Partners
Founded in 2006, Nexus Venture Partners is a venture capital firm that supports extraordinary founders in building product-first companies. The firm takes a high-conviction approach, serving as inception, seed, or series-A stage partner to founders, actively engaging with them throughout the company lifecycle. With $2.6 billion capital under management, Nexus focuses on two primary investment areas: enterprise software and AI companies globally and technology-powered businesses within India. For more information, visit https://nexusvp.com/

About Canapi Ventures
Canapi Ventures is a venture capital firm investing in early to growth-stage fintech companies. Our partners have been at the forefront of financial services innovation as operators, investors, bankers, advisors, and regulators. Our venture capital model connects high-quality fintech companies to our extensive network of banks and strategic partners. Canapi Ventures is advised by CenterHarbor Advisors and Canapi Advisors, LLC, a wholly owned subsidiary of Live Oak Bancshares, Inc. (Nasdaq: LOB). For more information, visit http://www.canapi.com.

Media Contacts
Inkhouse for Canapi Ventures
[email protected]

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Binance Announces Adjustment of Tick Size for Spot Trading Pairs

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Binance, a leading cryptocurrency exchange, has announced adjustments to the tick size (the minimum change in the unit price) of specific spot trading pairs. These adjustments are aimed at enhancing market liquidity and improving the overall trading experience for users. The changes are scheduled to be completed by 05:00 (UTC) and 07:00 (UTC) on May 23, 2024.

Traders can find details about the tick sizes of all spot trading pairs on Binance in the platform’s Trading Rules. Importantly, the adjustment will not impact spot trading and related functionalities. API users will also observe changes in the tick size, and they can stay updated with the latest tick size using the GET /api/v3/exchangeInfo endpoint. Additional details and updates can be found in the API Changelog.

Existing spot orders will not be affected by the tick size update. Orders placed before the update will continue to be matched with the original tick size. However, traders are advised to adjust their trading strategies accordingly to avoid any unnecessary impact on their trading activities.

Binance emphasizes the importance of referencing the English version of the announcement for the most accurate and up-to-date information, as there may be discrepancies in translated versions. The exchange remains committed to providing a seamless trading experience and appreciates the support of its users. Users are reminded to exercise caution and make informed decisions when trading on the platform.

Source: blockchain.news

The post Binance Announces Adjustment of Tick Size for Spot Trading Pairs appeared first on HIPTHER Alerts.

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OKX Announces Support for New USDC Spot Trading Pairs

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According to an official announcement released on May 16, 2024, OKX will introduce new USDC trading pairs in the spot trading section between 7:00 am and 8:00 am UTC on May 20, 2024. This addition aims to broaden trading options for OKX users and contribute to the expanding USDC ecosystem.

In light of the risks associated with digital asset trading, OKX has issued a cautionary note to all users. They emphasize that information provided by OKX and third parties is for informational and educational purposes only. OKX does not guarantee the accuracy or completeness of any information and does not provide financial, investment, or other forms of advice.

OKX highlights the speculative nature and high volatility of digital assets, cautioning that they may become illiquid at any time, potentially resulting in the loss of the entire investment. Therefore, OKX advises users to conduct thorough research and assess their risk tolerance before engaging in digital asset trading.

For inquiries regarding the new USDC spot trading pairs or any other concerns, users can contact OKX through their support center or engage with the OKX team on various platforms. OKX’s proactive approach in addressing user inquiries and fostering community interaction underscores its commitment to user satisfaction and the overall growth of the crypto ecosystem.

Source: blockchain.news

The post OKX Announces Support for New USDC Spot Trading Pairs appeared first on HIPTHER Alerts.

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ShibaSwap rolls out major upgrade, moves to Shibarium

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ShibaSwap, the decentralized exchange (DEX) affiliated with the Shiba Inu ecosystem, has announced a significant upgrade by migrating to the Shibarium blockchain. This move is expected to introduce a range of new utilities for users, as stated in a recent press release.

The upgrade includes features such as a revamped dashboard, enhanced user experience, discovery charts for trending tokens, and an improved process for onboarding new tokens onto the DEX.

Lead developer Shytoshi Kusama expressed enthusiasm for the upgrade, highlighting its potential to empower DEFI innovators and facilitate community token interaction on Shibarium. Kusama also invited the community to explore the new swap and encouraged existing Shibarium tokens to transition to the platform seamlessly, while assuring that further updates are in the pipeline.

A portion of transaction fees will be utilized to enhance liquidity pool (LP) value in swap transactions, benefiting users and the yield farming community, according to the press release.

The upgrade rollout will prioritize enhancing discovery and can be expected to include more regular updates and upgrades, as noted by fellow developer and contributor Kaal.

The upgrade aims to minimize gas fees and ensure faster transactions, in addition to supporting various segments of the Shiba Inu Ecosystem, including $SHIB and $LEASH tokens, SHEboshis DN-404 tokens, SHIB The Metaverse, ShibaSwap DEX, and the Shiba Eternity game.

Shibarium’s layer 2 mainnet, launched in August 2023, saw the creation of 21 million wallets and was trialed by millions of users. It introduced a new consensus mechanism called proof-of-participation (PoP), which selects validators based on their holdings of the associated cryptocurrency.

As of the latest data, the price of SHIB stands at $0.0002548, reflecting an almost 7% increase in the last 24 hours, with SHIB being the 11th largest in terms of market cap, according to CoinMarketCap.

Source: cointelegraph.com

The post ShibaSwap rolls out major upgrade, moves to Shibarium appeared first on HIPTHER Alerts.

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