Blockchain

Nectar AI Raises $3.9M to Build Uncensored Immersive AI Companions

New York, New York, August 26th, 2024, Chainwire

 

Nectar AI, an immersive AI companionship platform, announced today it has raised $3.9 million in funding.

The seed round is co-led by Mechanism Capital and Karatage, with participation from Synergis, Maelstrom (Arthur Hayes), Builder Capital, Baboon, and Decima. Notable angel investors include Tekin Salimi and George Lambeth (Dao5), Albert Chon (Cofounder at Injective), Charles Lu (Cofounder at Espresso Systems), Gabby Dizon (Cofounder at YGG), and several other key figures in the crypto space.

The proceeds will be used to scale the team with several key hires on both the AI and protocol side, as well as increase capacity for new partnerships and affiliates.

Nectar AI’s mission is to allow users to create and interact with AI companions that feel indistinguishable from reality. Leveraging the latest developments in generative AI and web3, Nectar AI allows users to create uncensored & replicable multimodal AI companions in either a realistic or anime style. Users can customize their characters at a level of depth unmatched by other platforms, by detecting user intent and responding appropriately with images or text within seconds. Generative AI video creation is also available on the platform, with more in depth video and voice messages coming soon. In the future, users will be able to port their created companions onchain, giving them full IP ownership of their assets as well as the ability to permissionlessly monetize them.

Currently, over 500,000 users on the platform create both AI stories and companions, which allows storytellers to create rich and dynamic role playing experiences that can range from medieval adventures to different encounters. Companions are AI generated agents that can star in any of these stories, similar to casting an actress for a movie.

Members of the Nectar community have lauded the platform for its ability to make uncensored immersive content for entertainment and emotional support.

One user said, “A recent update allowed me to transform my photos into companions. The new ability to bring portraits to life inspired me to create a music video with one of them as the protagonist. Nectar is such a creator-friendly platform, and I’m really looking forward to more updates and eventually monetize my assets.”

Keccak and Zi, the co-founders of Nectar AI, first met at Stanford and began working on the project in August 2023. Prior, Keccak helped start a prominent AI & crypto fund and Zi made significant contributions to realistic synthetic facial generation at Meta and L1 Blockchains. Nectar is set on developing a new protocol set to release later this year to enable financialization of on-chain AI agents.

About Nectar

Nectar AI is building out the future of human and AI interaction. We believe that these experiences should be uncensored and immersive, and our flagship product allows users to create personalized and multimodal AI companions.

With over 500k users, Nectar AI’s mission is to become the most powerful decentralized platform for creating AI assets, and to deliver an integrated experience both on and offchain. Nectar AI was founded in 2023 by Keccak and Zi, who both graduated from Stanford, and has founding team members from top companies and protocols.

Site: nectar.ai

Info: support@trynectar.ai

 

Contact

Nectar AI
support@trynectar.ai

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Asia-Pacific Artificial Intelligence (AI) Chipsets Market 2024-2031: Identify and Capitalize on the Countries Showcasing the Highest Growth Potential

2024-09-18T08:30:44Z

Dublin, Sept. 18, 2024 (GLOBE NEWSWIRE) -- The "Asia-Pacific Artificial Intelligence (AI) Chipsets Market Size, Share & Trends Analysis, 2024-2031" report has been added to ResearchAndMarkets.com's offering.

The Asia Pacific Artificial Intelligence (AI) Chipsets Market should witness market growth of 30.3% CAGR during the forecast period, 2024-2031.

The China market dominated the Asia Pacific Artificial Intelligence (AI) Chipsets Market by country in 2023, and should continue to be a dominant market till 2031; thereby, achieving a market value of $21.51 billion by 2031. The Japanese market is registering a CAGR of 29.7% during 2024-2031. Additionally, the Indian market should showcase a CAGR of 31.2% during 2024-2031.

The adoption of AI chipsets is rapidly increasing across various industries and sectors due to their ability to accelerate AI tasks, enhance performance, and enable intelligent applications. Businesses increasingly leverage AI-driven solutions to gain insights from data, automate processes, improve decision-making, and enhance customer experiences. AI chipsets facilitate the execution of complex AI algorithms and machine learning models, driving applications like NLP, computer vision, predictive analytics, and autonomous systems.

Moreover, the continuous advancements in AI algorithms, deep learning models, and neural network architectures drive the need for high-performance hardware solutions capable of handling massive datasets and complex computations. AI chipsets provide the computational power and efficiency to effectively train and deploy AI models. The proliferation of edge computing architectures, wherein AI processing tasks are performed locally on edge devices, drives the adoption of AI chipsets with edge computing capabilities.

The fintech industry in India has experienced rapid growth driven by increasing smartphone penetration, digital payment adoption, and government initiatives promoting financial inclusion. The Fintech business in India is expanding at one of the quickest rates in the world, according to the National Investment Promotion and Facilitation Agency. The market for fintech in India is expected to reach $150 billion by 2025, from $50 billion in 2021. By 2030, the fintech business is expected to generate $2.1 trillion in opportunity. In 2022, fintech startups in India raised $5.65 billion. Between 2021 and 2022, the number of distinct institutional investors in Indian fintech nearly doubled, from 535 to 1019, respectively.

Additionally, as businesses and government agencies in Australia invest in AI technologies to drive innovation and efficiency, there is a growing demand for AI chipsets to power AI-driven applications and services. According to the Australian Government, digital innovations, including AI, could contribute $315 billion to Australia's GDP by 2030. Australian spending on AI systems will grow to over $3.6 billion by 2025, at a compounding annual growth rate of 24.4% between 2020 and 2025. Therefore, the rising fintech industry and increasing expenditure on AI technology in the region drive the market's growth.

List of Key Companies Profiled

  • Intel Corporation
  • NVIDIA Corporation
  • IBM Corporation
  • Micron Technology, Inc.
  • Qualcomm Incorporated (Qualcomm Technologies, Inc.)
  • Samsung Electronics Co. Ltd. (Samsung Group)
  • Apple, Inc.
  • Huawei Technologies Co. Ltd. (Huawei Investment & Holding Co. Ltd.)
  • Texas Instruments, Inc.
  • NXP Semiconductors N.V.

Market Segmentation

By Computing Technology

  • Cloud Computing
  • Edge Computing

By Function

  • Inference
  • Training

By Chipset Type

  • GPU
  • CPU
  • FPGA
  • ASIC
  • Others

By Vertical

  • Consumer Electronics
  • Automotive
  • Healthcare
  • Manufacturing
  • Retail & E-Commerce
  • BFSI
  • Marketing
  • Others

By Country

  • China
  • Japan
  • India
  • South Korea
  • Taiwan
  • Malaysia
  • Rest of Asia Pacific

For more information about this report visit https://www.researchandmarkets.com/r/9spj10

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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