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Current Innovations and Key Players in the AI Landscape of 2024

GOOVER DAILY REPORT July 3, 2024
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TABLE OF CONTENTS

  1. Summary
  2. AI Developments and Innovations in 2024
  3. Fast-Growing Technology Companies
  4. Key Comparisons in AI Research
  5. Top Generative AI Startups
  6. Leading AI Tool Developers
  7. Innovation by AI Giants in 2024
  8. Machine Learning Startups to Watch
  9. Conclusion

1. Summary

  • The report titled 'Current Innovations and Key Players in the AI Landscape of 2024' delves into recent advancements and prominent entities within the AI industry. It explores significant innovations across various sectors, highlighting leading companies like OpenAI, Google DeepMind, and Intel, along with emerging startups such as Robin AI and Perplexity AI. Key sections cover topics including Intel’s Articul8 AI, Robin AI’s funding, Perplexity’s growth, and AI-focused initiatives from giants like Microsoft and Google. Additionally, the report examines AI applications at CES 2024, groundbreaking research on GPT-4V(ision), and fast-growing technology companies incorporating AI into their business models. The extensive analysis reflects AI’s profound impact on industries such as healthcare, finance, and customer service, showcasing how these advancements are reshaping business operations and technological capabilities globally.

2. AI Developments and Innovations in 2024

  • 2-1. Intel’s Launch of Articul8 AI

  • Intel, under CEO Pat Gelsinger, is launching a new AI firm named Articul8 AI, which operates independently from its core operations. Developed in collaboration with the Boston Consulting Group, Articul8 AI utilizes Intel’s generative AI technology for processing text and images. The new entity, led by ex-Intel VP Arun Subramaniyan, focuses on addressing concerns around data privacy and cost efficiency in AI deployment. The financial details remain undisclosed, but investors include DigitalBridge Group and Fin Capital among others. This spinout aligns with Intel’s strategy of external funding for its divisions, following the precedent set by Mobileye, and involves plans for an IPO for its programmable chip unit.

  • 2-2. Robin AI’s Funding

  • Robin AI, a UK-based startup, has secured $26 million in Series B funding, raising its total to nearly $43 million. This funding round was led by Temasek Holding and will facilitate the company's expansion in the U.S. and growth into the Asia-Pacific region. Robin AI’s technology, built on Anthropic PBC’s Claude LLM and fine-tuned with over 2 million contracts, significantly reduces contract review time and costs. Their Microsoft Word add-in supports contract creation, review, and editing, with major clients including PepsiCo and PwC.

  • 2-3. Perplexity’s Growth

  • Perplexity, an emerging AI search startup, has successfully raised $74 million, reaching a valuation of $520 million. Backed by prominent investors such as Jeff Bezos and former YouTube CEO Susan Wojcicki, Perplexity’s innovative answer engine has rapidly gained traction, serving 10 million monthly users. The company has seen its website and app visits grow from 2.2 million in December 2022 to 53 million by November.

  • 2-4. OpenAI’s Initiatives

  • OpenAI is proposing annual deals worth up to $5 million with news publishers to acquire the rights to use their copyrighted articles for AI model training. This marks a shift from traditional web crawler-based data acquisition to more ethical and legally sound partnerships, reflecting the AI industry's growing recognition of the value of licensed content.

  • 2-5. Microsoft’s Copilot Key for PC Keyboards

  • Microsoft has announced the introduction of a physical Copilot key on PC keyboards, aimed at making 2024 the “year of the AI PC.” This key is designed to enhance user interaction with AI-powered features and tools, underscoring Microsoft's commitment to advancing AI accessibility in personal computing.

  • 2-6. CES 2024 Focus on AI

  • CES 2024 in Las Vegas is focused on artificial intelligence, attracting over 130,000 attendees and 4,000 companies. Highlights include Intel's unveiling of AI PCs, predicting a significant upgrade cycle in personal computing. Keynote speakers, including CEOs from Intel, Qualcomm, and Snap, will address topics across retail, health, and tech sectors.

  • 2-7. Google’s Bard Advanced and DeepMind’s AutoRT

  • Google is developing 'Bard Advanced,' a premium version of its Bard AI, powered by the Gemini Ultra language model. This version features enhanced mathematical and logical reasoning and will be accessible through a Google One subscription. Concurrently, Google’s DeepMind Robotics is advancing AI integration in robotics with AutoRT, a system that improves robots’ environmental awareness using Visual Language Models. This includes a new training method, RT-Trajectory, which uses video inputs to give robots more effective guidance.

  • 2-8. Research on GPT-4V(ision), Photorealistic Avatars, and Hybrid Zoom Super-Resolution

  • Recent AI research has introduced the GPT-4V(ision), a generalist web agent with a 50% success rate in live website tasks, utilizing both HTML and visual data. Another study has developed a method for creating photorealistic avatars that gesture in response to conversational audio, harnessing vector quantization and diffusion techniques for high-detail motion rendering. Additionally, hybrid zoom super-resolution technology has been advanced, allowing synchronization of Wide and Telephoto shots on mobile devices, significantly improving image detail retention. This method uses adaptive blending to address depth-of-field mismatches and alignment errors, demonstrating high efficiency on mobile platforms.

3. Fast-Growing Technology Companies

  • 3-1. 17 Technology Companies Utilizing AI

  • The referenced document '50 Fast-Growing Tech Companies & Startups (2024)' outlines 17 technology companies that have significantly incorporated AI into their business models, resulting in rapid growth and innovation. 1. Perplexity AI: Founded in 2022 and located in San Francisco, California, this company has created a free AI search engine. Their conversational search engine interprets user queries like a chatbot, similar to ChatGPT, using a combination of OpenAI's GPT-4, Anthropic's Claude 3, and Google DeepMind's Gemini. The company launched its first B2B product, Enterprise Pro, in April 2024, and reached a $1.04 billion valuation raising $62.7 million. 2. FlutterFlow: This no-code platform for building mobile Android and iOS apps was founded in 2020 by former Google engineers in Mountain View, California. The platform uses Google's open-source UI toolkit, Flutter, and has amassed 1.25 million users. In January 2024, it raised $25.5 million in Series A funding. 3. WriteSonic: An AI-powered copywriting tool founded in 2021 and located in San Francisco, California. It generates high-quality content and has added generative AI features like a conversational chatbot and voice generator. The platform supports over 5 million users in 100 countries. 4. Beehiiv: Founded in 2020 in New York, New York, this publishing platform for newsletter creators added 20,000 active newsletters and 1 billion monthly emails. The company raised $33 million in Series B funding in April 2024. 5. Photoroom: An AI photo editing app founded in 2019 in Paris, France. The app has been downloaded 150 million times globally and processes over 5 billion images annually. The startup raised $43 million in funding, reaching a $500 million valuation. 6. Supabase: Founded in 2019 in San Francisco, California. It provides an open-source Firebase alternative for building and deploying mobile and web apps. Their community includes over 24,000 active members. 7. Otter.ai: A real-time voice-to-text transcription and audio recording assistant founded in 2016 in Mountain View, California. The company has over 14 million registered users and provides 50 million meeting summaries. 8. Nuanced Health: This 2020 biotech company from Los Angeles, California incorporates biological diversity into the drug discovery pipeline, developing personalized drugs and therapies. 9. 6AM City: A local news publishing company founded in 2016 in Greenville, South Carolina. They have aggregated content for 1.4 million free email subscribers and raised $10 million in Series A funding. 10. Databricks: Founded in 2013 in San Francisco, California, this cloud-based data and AI platform supports 10,000 global customers with a comprehensive Data Intelligence platform. 11. AdsPower: An anti-detection web browser based in Singapore, founded in 2019, primarily used for running multiple ad accounts. The platform has over 3 million global users. 12. Flowy: A cash registry software company from Kosice, Slovakia, founded in 2017, utilizing cloud and AI to enhance inventory analysis and sales forecasting. 13. Runway: A generative AI model creator for videos and multimedia founded in 2018 in Miami, Florida. Their generative AI applications have garnered over $236 million in funding. 14. Avoma: Founded in 2017 in Palo Alto, California, this platform offers AI-powered meeting assistance and conversation intelligence tailored for sales teams and has over 900 paid customers. 15. Parachute Health: Founded in 2015 in Manhattan, New York, this digital platform for ordering medical equipment streamlines healthcare supply chains for better patient care. 16. LawVu: A cloud-based software for in-house legal teams founded in 2015 in Gisborne, New Zealand. It reported a significant revenue increase in 2023. 17. Probando: An online platform founded in 2020 in Graz, Austria, for recruiting participants for medical research. They recently introduced ProbandoPay for managing payments more efficiently.

  • 3-2. Growth in Biotech, Data Intelligence, Publishing, and Healthcare

  • The document also highlights the notable growth experienced by companies in biotech, data intelligence, publishing, and healthcare sectors due to AI integration. 1. Nuanced Health in biotech leverages biological diversity for personalized therapeutic discoveries. 2. Databricks in data intelligence offers a unified data platform combining data lakehouse capabilities with generative AI models. 3. 6AM City, a publishing tech company, uses AI to curate local news for 1.4 million subscribers. 4. Parachute Health in healthcare streamlines medical equipment ordering, enhancing supplier and provider efficiency. These advancements illustrate AI’s transformative impact in diverse fields, driving innovation and operational efficiencies in each sector.

4. Key Comparisons in AI Research

  • 4-1. OpenAI vs. Google DeepMind

  • When exploring the field of artificial intelligence, two names stand out: OpenAI and Google DeepMind. Both have made significant strides in developing cutting-edge AI technologies, but their approaches and objectives vary. OpenAI focuses on creating safe and beneficial AI while aiming for widespread accessibility of its innovations. On the other hand, Google DeepMind, a subsidiary of Alphabet, emphasizes developing AI that mimics human learning and reasoning. This focus has led to remarkable breakthroughs in areas such as game-playing AI and healthcare applications. Google DeepMind leverages the vast resources of its parent company to drive its research and operational capabilities. Understanding the differences between OpenAI and Google DeepMind can give you a clearer perspective on how these tech giants contribute to and shape the future of artificial intelligence.

  • 4-2. Advances in Natural Language Processing, Healthcare, and Scientific Research

  • Both OpenAI and Google DeepMind have significantly influenced the AI landscape through their innovative research and real-world implementations. OpenAI's GPT-3, a sophisticated language model, can generate human-like text, answer questions, and perform language translation. It has 175 billion parameters, making it one of the largest and most powerful language models publicly available. Additionally, OpenAI's work on reinforcement learning has led to success in training AI agents to master complex games such as Dota 2 and robotic tasks. On the other hand, Google DeepMind's advancements include AlphaGo, an AI program that defeated human champions in the board game Go, demonstrating the potential of AI to handle tasks requiring deep strategic thinking. DeepMind has also made significant strides in healthcare, with AI algorithms developed for medical imaging and early disease detection, and AlphaFold, which revolutionized protein folding prediction. These innovations promise to accelerate advancements in fields such as drug discovery and genetic engineering.

5. Top Generative AI Startups

  • 5-1. OpenAI's GPT-4 and ChatGPT

  • OpenAI, founded in 2015 by notable figures such as Sam Altman and Elon Musk, has established itself as a leader in the generative AI space. OpenAI's core products include GPT-4, ChatGPT (available in Free, Plus, Team, and Enterprise tiers), and other AI-driven solutions such as DALL-E 3 for image generation, Whisper for audio transcription and translation, and various fine-tuning and embedding models. OpenAI offers API and application development support, fostering a developer ecosystem around its models. OpenAI's recent introduction of Sora, a text-to-video tool, further expands its portfolio. The company's commitment to ethical AI and its partnership with Microsoft enhance its reputation and reach.

  • 5-2. Startups like Jasper, Inflection AI, Stability AI, MOSTLY AI

  • 1. **Jasper**: Founded in 2021, Jasper specializes in business and marketing content generation. Jasper's core product aids in creating social media posts, advertising content, blog articles, emails, and website copy, making it a versatile tool for maintaining consistent brand voice and managing digital marketing campaigns. In early 2024, Jasper acquired the AI image platform Clickdrop to enhance its multimodal capabilities. 2. **Inflection AI**: Inflection AI was founded in 2022 by Karén Simonyan, Reid Hoffman, and Mustafa Suleyman. The startup focuses on human-computer colloquial conversation and advice, highlighted by its product, Pi, an advanced AI assistant. Inflection AI has received substantial funding and aims to revolutionize AI interactions in everyday communication. 3. **Stability AI**: Stability AI, founded in 2019 by Emad Mostaque, is renowned for its text-to-image generation tool, Stable Diffusion. Despite controversies regarding copyright infringement and financial instability, Stability AI continues to be a technological pioneer in generative AI, providing solutions for image editing, audio and video generation, and 3D modeling. 4. **MOSTLY AI**: Founded in 2017, MOSTLY AI specializes in synthetic data generation, crucial for AI and software app development. Its platform ensures data anonymization and security, making it highly valuable for industries like banking, insurance, and telecommunications. MOSTLY AI supports various operational environments, including Kubernetes and OpenShift.

  • 5-3. Innovation in Content Generation, NLP, Enterprise Search, and AI Model Development

  • Generative AI startups are driving innovation across multiple domains, from content generation and natural language processing (NLP) to enterprise search and AI model development: 1. **Content Generation**: Startups like Jasper and OpenAI offer tools for creating high-quality marketing copy, blog posts, and other digital content, empowering businesses to enhance their brand communication effortlessly. 2. **Natural Language Processing (NLP)**: Cohere and Hugging Face provide advanced NLP solutions that support business operations by allowing seamless information retrieval, text classification, and multilingual content generation. Hugging Face, having raised substantial funding, also serves as a collaborative platform offering a large repository of pre-trained models. 3. **Enterprise Search**: Companies like Glean offer generative AI solutions for cognitive enterprise search, enabling efficient data management and retrieval across various business applications. 4. **AI Model Development**: Inflection AI's AI studio and Stability AI's development tools empower users to build and customize AI models for specific needs, further democratizing access to generative AI technologies.

6. Leading AI Tool Developers

  • 6-1. Contributions of Google AI, IBM Watson, Microsoft Azure AI, AWS AI, OpenAI

  • This section comprehensively covers the contributions of major AI developers including Google AI, IBM Watson, Microsoft Azure AI, AWS AI, and OpenAI. These companies provide a diverse range of AI tools and services that have revolutionized multiple industries through their innovative technologies. Google AI has made significant strides with tools such as TensorFlow, Google Cloud AI, and AutoML. IBM Watson offers powerful tools like Watson Studio, Watson Natural Language Understanding, and Watson Machine Learning. Microsoft Azure AI provides Azure Machine Learning, Cognitive Services, and Bot Service, while AWS AI is known for Amazon SageMaker, AWS Rekognition, and AWS Comprehend. OpenAI's significant contributions include GPT-3 and DALL-E. Together, these companies foster advancements in numerous fields including natural language processing, computer vision, and reinforcement learning.

  • 6-2. Impact across Healthcare, Finance, and Customer Service

  • The advancements provided by leading AI tool developers have impacted various sectors significantly. In healthcare, AI tools from Google AI, IBM Watson, and Microsoft Azure AI have improved diagnostic tools, predictive analytics, and personalized treatment plans, enhancing patient care and medical research. The finance industry has benefited from AI tools that aid in fraud detection, risk assessment, and automated trading, offered by AWS AI and IBM Watson. In customer service, AI-powered chatbots and virtual assistants from Microsoft Azure AI and IBM Watson have enhanced customer engagement by automating responses and providing accurate information quickly.

7. Innovation by AI Giants in 2024

  • 7-1. Contributions of OpenAI, DeepMind, IBM Watson, Microsoft, AWS, Google, Facebook, NVIDIA, Intel, Salesforce

  • In 2024, several key players in the AI industry have made significant contributions to advancing artificial intelligence technologies and their applications across various sectors. **OpenAI**: Known for its groundbreaking research, OpenAI has made substantial progress in natural language processing with its GPT-3 model and image generation using DALL-E. The organization also focuses on robotics and reinforcement learning, ensuring ethical AI development and collaborating with Microsoft to support its research. **DeepMind**: As a subsidiary of Alphabet Inc., DeepMind has gained recognition for its contributions to deep learning and reinforcement learning. Notable achievements include the development of AlphaGo, AlphaFold for predicting protein structures, and various healthcare AI applications. DeepMind also emphasizes ethical AI development. **IBM Watson**: IBM Watson excels in cognitive computing, offering advanced natural language processing, machine learning, and data analytics capabilities. Watson's applications span healthcare, finance, and education, providing valuable insights through its data processing abilities. **Microsoft**: Through Azure AI, Microsoft offers a comprehensive suite of AI services, including Microsoft’s cognitive services and Azure Machine Learning. These services enable businesses to create and deploy machine learning models effectively. Microsoft also collaborates with OpenAI and emphasizes ethical AI practices. **Amazon Web Services (AWS)**: AWS provides various AI services such as Amazon Lex for conversational interfaces, Amazon Polly for text-to-speech capabilities, and Amazon Rekognition for image and video analysis. These services help developers create intelligent applications, reinforcing AWS’s role in AI innovation. **Google**: Google has invested heavily in AI, with initiatives such as Google Assistant, Google Cloud AI, and TensorFlow. In addition to its collaboration with DeepMind, Google focuses on enhancing AI applications in various sectors and making these technologies accessible to a broader audience. **Facebook (Meta)**: Facebook uses AI for content recommendation, image recognition, and language translation. The platform employs machine learning algorithms to enhance user experience by suggesting relevant content and providing AI-powered features for personalized interactions. **NVIDIA**: NVIDIA specializes in developing GPUs optimized for deep learning and offers AI software platforms like CUDA and cuDNN. These tools accelerate machine learning tasks and have significantly advanced AI and machine learning technologies. **Intel**: Intel provides hardware and software tools tailored for AI applications. Its offerings include specialized CPUs for AI workloads and the OpenVINO toolkit, which helps developers optimize applications for Intel hardware. **Salesforce**: Integrating AI via Salesforce Einstein, Salesforce supports businesses in streamlining sales, marketing, and customer service processes. Predictive analytics and automation are key features, allowing businesses to improve performance and customer experiences.

  • 7-2. Revolutionizing Industries with AI Technologies in Natural Language Processing, Deep Learning, Image Recognition, and Cognitive Computing

  • AI technologies have revolutionized various industries by innovating and enhancing operations through natural language processing, deep learning, image recognition, and cognitive computing. **Natural Language Processing (NLP)**: Companies like OpenAI and IBM Watson have made strides in NLP, enabling applications such as text generation, conversational interfaces, and data analysis. OpenAI’s GPT-3 model is a leading example, providing contextually relevant text generation for various applications. **Deep Learning**: DeepMind is at the forefront of deep learning advancements, with accomplishments such as AlphaGo and AlphaFold. These developments have ushered in new possibilities in gaming, biology, and autonomous systems. NVIDIA’s GPUs and software platforms further support deep learning tasks, providing the necessary computational power. **Image Recognition**: AWS and Facebook leverage image recognition technology to enhance their services. AWS provides Amazon Rekognition for analyzing images and videos, while Facebook uses image recognition to tag users in photos and describe image content. **Cognitive Computing**: IBM Watson exemplifies cognitive computing with its capabilities in processing and analyzing complex data patterns. These features benefit industries like healthcare and finance by providing actionable insights and improving decision-making processes. **Cross-Industry Applications**: AI technologies are being applied across various sectors, including healthcare, finance, retail, and customer service. For instance, AI-driven tools assist in medical diagnosis, personalized marketing, and supply chain optimization, significantly impacting these industries.

8. Machine Learning Startups to Watch

  • 8-1. Flock Safety

  • Flock Safety has developed a camera system with built-in AI capable of identifying a vehicle’s fingerprint. This AI system detects when a stolen car enters an area and notifies the police and neighborhood residents. Flock Safety’s system is currently implemented in over 2,000 cities across 42 states in the United States. The company was founded in 2017 in Atlanta, Georgia, and has secured $380.6M in Series E funding.

  • 8-2. UNISOC

  • UNISOC uses AI to customize and streamline the production of chips. The company makes an estimated yearly revenue of $1B, with a net profit margin of 3.49%. Founded in 2001 in Shanghai, China, UNISOC has received $1.6B in Series C funding and serves over 500 customers in more than 133 countries, including brands like Samsung, Hisense, and vivo.

  • 8-3. RepVue

  • RepVue tracks real-time sales compensation data across different companies. It utilizes its algorithm to rate a company’s sales compensation based on various criteria. Founded in 2018 in Chapel Hill, North Carolina, RepVue has secured $6M in seed funding and currently tracks compensation data for over 1,200 organizations.

  • 8-4. MedPay

  • MedPay has developed a smart payment platform powered by algorithms that connect healthcare professionals with insurance agencies. The platform is used by over 47,000 pharmacies and 20,000 doctors in 650 cities. Founded in 2020 in Bengaluru, India, MedPay has received $1.2M in seed funding.

  • 8-5. Relu

  • Relu uses deep learning to construct 3D models of jaws, teeth, and nerves. The startup's technology integrates with medical software to automatically build accurate 3D representations from CT or CBCT scans. Founded in 2019 in Leuven, Belgium, Relu has received $2.1M in seed funding.

  • 8-6. Teikametrics

  • Teikametrics is a SaaS company using AI to optimize eCommerce marketplaces. Its machine learning algorithm dynamically optimizes pricing, inventory, and performance, providing trend insights based on current data. Founded in 2015 in Boston, Massachusetts, Teikametrics has secured $65M in Series B funding and processes over 40 terabytes of data annually.

  • 8-7. Scale AI

  • Scale AI provides training data for machine learning and AI applications, including self-driving cars, mapping, AR/VR, and robotics. The startup offers products like Scale Data Engine, Scale Donovan, Scale EGP, and Scale Spellbook. Founded in 2017 in Hong Kong, Scale AI surpassed $200 million in revenue in 2023, serving over 1,000 customers. The company is nearing a new funding round to increase its valuation to $13 billion.

  • 8-8. BHyve

  • BHyve is a peer-to-peer platform that enables employees to share tacit knowledge. The platform matches employees based on their current knowledge and the knowledge they want to gain, using machine learning algorithms. Founded in 2020 in Mumbai, India, BHyve has received $390K in grant funding and has seen a 47.3% YoY revenue growth.

  • 8-9. Supertrends

  • Supertrends uses deep learning technology to follow and analyze data, forecasting trends that might soon arise. The company currently monitors over 100 themes and 650,000 companies for potential disruption. Founded in 2019 in Zug, Switzerland, Supertrends has secured $1.7M in Series A funding with a post-money valuation of $8.72M.

  • 8-10. Quantexa

  • Quantexa gathers data from business operations and uses machine learning to automate decision-making. The startup operates in more than 70 countries, handling over 60 billion records. Founded in 2016 in London, England, Quantexa has received $370M in Series E funding.

  • 8-11. AdmitKard

  • AdmitKard helps students gain admission to their preferred universities by using intelligent retrieval to compare student profiles with university targets. Founded in 2016 in Noida, India, AdmitKard has received $11.7M in Series A funding and compiled insights on over 1,000 universities.

  • 8-12. Aidoc

  • Aidoc has developed a deep learning system for radiologists, capable of analyzing medical images and patient data to detect critical anomalies. The system has been used to analyze nearly 15 million scans to date. Founded in 2016 in Tel Aviv, Israel, Aidoc has secured $267.5M in funding.

  • 8-13. Apty

  • Apty is an AI-driven software analytics tool that explores software usage and creates strategic plans to boost employee productivity. The Austin, Texas-based startup claims its tool can increase productivity by up to 40%. Founded in 2016, Apty has received $12.9M in Series A funding.

  • 8-14. Arctic Wolf

  • Arctic Wolf monitors cyber resources for safety and security. Its algorithms detect unusual usage patterns, signaling potential security breaches. Founded in 2012 in Eden Prairie, Minnesota, Arctic Wolf has secured $899.2M in convertible note funding and was named one of the top 100 Security firms in 2021 by The Channel Co.

  • 8-15. Lookiero

  • Lookiero is a personal fashion shopping subscription service that uses machine learning to analyze customer preferences. It then curates a selection of clothing sent directly to the customer. Founded in 2016 in Bilbao, Spain, Lookiero has secured $53.6M in Series C funding and reported a 75.31% YoY revenue growth, generating $23.4M in revenue last year.

  • 8-16. Logically

  • Logically combines AI, fact-checking teams, and OSINT investigators to offer a threat intelligence platform. The startup provides quick fact-checking and detects manipulated images, partnering with Facebook UK. Founded in 2017 in London, England, Logically has received $36.7M in Series A funding.

  • 8-17. Luxonis

  • Luxonis specializes in computer vision products and AI solutions. Its top product, the OAK-D, uses machine learning and the spatial AI platform DepthAI to provide human-like vision. Founded in 2019 in Littleton, Colorado, Luxonis has received $4.7M in undisclosed funding and serves more than 25,000 customers globally.

  • 8-18. Delta AI

  • Delta AI provides an end-to-end AI platform to automate document-based workflows. Using NLP and machine learning algorithms, the platform extracts data from unstructured documents to automate decision-making processes across industries like finance, insurance, and healthcare. Founded in 2017 in Madrid, Spain, Delta AI's funding details are undisclosed.

  • 8-19. Circly

  • Circly is an AI-powered forecasting tool for retail. Its self-learning and self-optimizing technology uses consumer behavior data to predict buying behavior. The Vienna, Austria-based startup, founded in 2020, has received $340K in pre-seed funding and claims its technology has a 95% accuracy rate, helping retailers reduce stock levels by up to 80%.

  • 8-20. Zenseact

  • Zenseact provides AI-powered automotive software designed for self-driving cars, enhancing safety and efficiency. Backed by Volvo Cars Technology Fund, the startup's software is implemented in over 11 car brands. Founded in 2020 in Göteborg, Sweden, Zenseact's funding details are undisclosed.

  • 8-21. OctoAI

  • Formerly known as OctoML, OctoAI automates machine learning and generative AI code generation for digital applications. The company launched in June 2023 to help customers scale generative AI models and officially rebranded to OctoAI in January 2024. Founded in 2019 in New Delhi, India, OctoAI has received $132M in Series C funding.

  • 8-22. SuperAnnotate

  • SuperAnnotate is a tool that uses AI to acquire and complete training data for computer vision pipelines. The startup recently closed a $14.5M Series A round, valuing the company at $59.5M. Founded in 2018 in Sunnyvale, California, SuperAnnotate has secured $17.5M in Series A funding.

  • 8-23. Roboflow

  • Roboflow is an end-to-end computer vision platform that simplifies building computer vision models. The startup is used by over 250,000 engineers to create new CV datasets, train models, and deploy them. Founded in 2018 in Des Moines, Iowa, Roboflow has received $22.2M in Series A funding.

  • 8-24. Yodawy

  • Yodawy is a marketplace that allows pharmacies to sell products online and includes smart technology for instant insurance approvals and digital prescriptions. The Cairo, Egypt-based startup, founded in 2018, has secured $30.5M in Series B funding, partnering with over 2,500 pharmacies in Egypt.

  • 8-25. United Robots

  • United Robots is an editorial technology startup using deep learning to create unbiased, neutral editorial texts. The company experienced a 19.87% revenue growth last year. Founded in 2016 in Malmo, Sweden, United Robots has secured $1.6M in seed funding.

9. Conclusion

  • The report underscores the transformative growth of AI and its wide-reaching implications across various sectors. Key findings highlight how firms like OpenAI and Google DeepMind continue to drive innovation in natural language processing, healthcare, and reinforcement learning. Intel's Articul8 AI and Robin AI's contract review technology exemplify AI's role in advancing data privacy and cost efficiency. Despite the advancements, challenges such as data security and ethical considerations remain. Moving forward, ongoing investment and research in AI are crucial for overcoming these challenges and unlocking new opportunities for industry optimization and customer engagement. The comprehensive insights offered by this report serve as a guide for stakeholders aiming to leverage AI technologies, underscoring the necessity of adaptive strategies in an evolving tech landscape. The future of AI promises accelerated innovation, with practical applications poised to redefine industry standards and enrich human experiences across the globe.

10. Glossary

  • 10-1. OpenAI [Company]

  • A prominent AI research lab focusing on developing safe and beneficial artificial intelligence. Known for its GPT series, OpenAI makes significant contributions to natural language processing and reinforcement learning.

  • 10-2. Google DeepMind [Company]

  • A division of Google specializing in AI that mimics human learning. Acclaimed for creating algorithms such as AlphaGo and AlphaFold, impacting AI research and applications in healthcare.

  • 10-3. Intel [Company]

  • An influential hardware manufacturer now advancing in AI with products like Articul8 AI, influencing areas like business and consumer electronics through AI integration.

  • 10-4. Robin AI [Company]

  • A rapidly growing startup that has recently secured funding to advance its AI-driven solutions, impacting the AI investment landscape.

  • 10-5. CES [Event]

  • A major technology trade show focusing heavily on AI in 2024, showcasing groundbreaking advancements and trends in artificial intelligence.

  • 10-6. Bard Advanced [Technology]

  • An AI tool introduced by Google, enhancing capabilities in various applications of artificial intelligence.

  • 10-7. AutoRT [Technology]

  • A tool developed by DeepMind for improved AI processes, illustrating advancements in automated reasoning and processing.

  • 10-8. GPT-4V(ision) [Research Paper]

  • A research paper discussing advanced visual capabilities in AI, particular to OpenAI's GPT-4 model, contributing to the field of photorealistic avatars and hybrid zoom super-resolution.

  • 10-9. Perplexity AI [Company]

  • An AI company experiencing accelerated growth, known for its advancements in AI search engines and information retrieval systems.

  • 10-10. Anthropic [Company]

  • An AI startup focused on developing safe and reliable AI applications, contributing significantly to the sector's growth.

11. Source Documents