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Trendage
United States
B
11-50 Employees
2015
Key takeaway
Trendage leverages generative AI to transform apparel product shots into professional on-model photos, enhancing visual appeal for retail. Their innovative solutions are designed to help companies in the industry increase sales through high-quality AI-generated images.
Reference
Core business
Trendage - Generative AI for Retail
Artificial intelligence for the retail industry. Sell more with generative AI images, built from the ground up by Trendage.
intellithing
Manchester, United Kingdom
A
1-10 Employees
2019
Key takeaway
INTELLITHING offers a no-code platform that allows users to create customized generative AI applications by stacking large language models like LEGO® bricks. This innovative approach enables the development of unique applications tailored to specific tasks, integrating your knowledge and data for enhanced interaction with technology.
Reference
Core business
INTELLITHING - Develop customized applications of Generative AI with no code
Haiper
London, United Kingdom
A
11-50 Employees
2021
Key takeaway
Haiper is an innovative company specializing in generative AI for video content creation, empowering users to express their creativity effortlessly across social media. With a focus on fun, shareability, and community, Haiper's tools are designed to transform ideas into engaging video content, positioning it as a leader in the next generation of creative expression through AI.
Reference
Core business
Haiper | Generative AI For Video Content Creation
Transform your vision into reality with Haiper’s generative AI video tools. Unleash your creativity and bring your ideas to life like never before.
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Handshake
Oakland, United States
B
11-50 Employees
-
Key takeaway
Handshake offers a comprehensive and frequently updated Generative AI Resource Hub, featuring a curated list of research, instructions, and projects. They also provide workshops designed to help teams integrate personalized AI tools effectively.
Reference
Core business
Generative AI Resource Hub
A curated list of research, instructions, and projects from Handshake on generative AI. This list changes often and is frequently updated.
Affiniti AI
London, United Kingdom
A
1-10 Employees
-
Key takeaway
The company has developed a purpose-built AI model that utilizes Generative AI technology to offer personalized and responsive mental health support. Their approach addresses the unique needs of each user, moving beyond conventional chatbots to create engaging dialogues that assist individuals in their mental health journeys.
Reference
Core business
Affiniti AI - Generative Conversational AI for Mental Health
Katonic.ai
Sydney, Australia
A
11-50 Employees
2020
Key takeaway
The Katonic MLOps Platform offers a no-code Generative AI platform that enables users to quickly build and deploy powerful AI applications, including custom chatbots, utilizing advanced technologies like ChatGPT and other large language models. This approach not only boosts employee productivity but also enhances customer experience through effective recommendation systems.
Reference
Core business
Katonic Generative AI Platform | Award winning MLOps platform
A no-code Generative AI platform which lets you fully harness the power of ChatGPT & other powerful Large Language Models (LLMs) for your business. Build, train and deploy custom, powerful AI Chatbots and AI Applications within minutes and a few easy clicks.
Behavioural AI
London, United Kingdom
A
1-10 Employees
2021
Key takeaway
Behavioural AI is a specialized consultancy that focuses on helping businesses harness the power of Generative AI, offering tailored solutions in areas like natural language processing and computer vision. Their team of experts is dedicated to developing innovative strategies that leverage data and AI to drive business growth and create a competitive advantage.
Reference
Core business
Behavioural AI | Generative AI Consulting Company
Unlock the potential of data and AI with Behavioural AI's consulting services. From Machine Learning to Generative AI, we create intelligent business solutions.
mimo.ooo
Warsaw, Poland
B
1-10 Employees
2015
Key takeaway
Mimo.ooo is at the forefront of content creation, offering advanced AI applications that enable businesses to generate unique outputs across various media, including images, videos, and 3D models. Their focus on cutting-edge solutions positions them as a key player in enhancing customer experiences through generative AI.
Reference
Service
AI Applications | mimo.ooo
Create a wide variety of data, such as images, videos, audio, text, and even 3D models. Use patterns from existing data to generate new and unique outputs.
Stotle
San Carlos, United States
B
1-10 Employees
2014
Key takeaway
Stotle Inc is leveraging generative AI to enhance business intelligence through its AI-driven platform, Infinity. This technology allows decision-makers to go beyond traditional dashboards, enabling them to ask follow-up questions, conduct what-if analyses, and receive concise summaries of insights.
Reference
Core business
Stotle Inc | Generative AI for Business Insights
Stotle is bringing the power of generative AI to enterprise BI. Our AI-Driven platform, Infinity, enables decision-makers to go beyond the dashboard; ask follow up questions, perform what-if analysis, and succinctly summarize the "so what".
Helvia.io
Athens, Greece
B
11-50 Employees
2017
Key takeaway
Helvia.ai specializes in transforming communication through its no-code Language AI platform, enabling the creation of generative AI agents powered by advanced language models like ChatGPT and GPT-4. Their technology, which incorporates Retrieval Augmented Generation (RAG), allows for tailored results and enhances both customer service and employee support, ultimately improving productivity and satisfaction.
Reference
Core business
Helvia.ai
Technologies which have been searched by others and may be interesting for you:
A selection of suitable products and services provided by verified companies according to your search.
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Generative AI Virtual Agent
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Generative AI
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A selection of suitable use cases for products or services provided by verified companies according to your search.
Use case
Generative AI Virtual Agent
All
Create a virtual agent that will support your business. It can be an internal virtual agent helping your employees or one helping your customers. Either way it is a great way to boost productivity and enhance customer experience. The goal is to get you to production fast so that you can start seeing the value of your investment fast.
Use case
Generative AI Virtual Agent
All
Create a virtual agent that will support your business. It can be an internal virtual agent helping your employees or one helping your customers. Either way it is a great way to boost productivity and enhance customer experience. The goal is to get you to production fast so that you can start seeing the value of your investment fast.
Generative AI refers to a subset of artificial intelligence that focuses on creating new content, whether it be text, images, music, or other forms of media. This technology leverages advanced algorithms, particularly deep learning models, to analyze existing data and generate original outputs that resemble the training data. By utilizing techniques such as neural networks, generative AI can produce highly realistic results, making it invaluable for applications in creative industries, content generation, and personalized user experiences. The core functionality of generative AI lies in its ability to learn patterns and structures from large datasets. This capability enables it to generate coherent and contextually appropriate outputs, providing innovative solutions across various fields. As the technology continues to evolve, it opens up new possibilities for automation and creativity, impacting how businesses approach content production and design.
Generative AI functions by utilizing algorithms and models to create new content based on training data. These systems learn patterns, structures, and relationships within the data, allowing them to generate text, images, or other media that resemble the original inputs. At the core of generative AI are neural networks, particularly deep learning models like Generative Adversarial Networks (GANs) and transformers. GANs consist of two competing networks—the generator, which creates new data, and the discriminator, which evaluates its authenticity. Transformers, on the other hand, excel in processing sequential data, making them ideal for tasks like natural language generation. Through training on vast datasets, generative AI can produce outputs that are coherent, contextually relevant, and often indistinguishable from human-created content.
Generative AI has a wide range of applications across various industries. In the field of content creation, it can produce articles, stories, and even poetry, allowing writers to enhance their creativity or automate writing tasks. Another significant application is image generation, where algorithms create stunning visuals based on textual descriptions. This capability is particularly useful in design, marketing, and entertainment. Additionally, music composition has benefited from generative AI, enabling composers to explore new melodies and soundscapes. Generative AI also plays a role in software development, assisting programmers by generating code snippets or even entire algorithms based on user requirements. In the realm of gaming, it can create immersive environments and narratives, enhancing user experiences. Overall, the versatility of generative AI makes it a powerful tool for innovation in numerous sectors.
1. Enhanced Creativity
Utilizing generative AI can significantly boost creativity by providing unique ideas and concepts that may not have been considered by human creators. This technology can generate art, music, and text, allowing for diverse outputs that can inspire and inform various creative processes.
2. Improved Efficiency
Generative AI streamlines workflows by automating repetitive tasks. This leads to faster production times and allows professionals to focus on more complex and strategic aspects of their work, ultimately enhancing overall productivity in various industries.
Generative AI faces several significant challenges that can impact its development and implementation. Ethical Concerns The potential for misuse of the technology raises ethical questions, particularly regarding the creation of deepfakes or misleading content. Ensuring that generative models adhere to ethical guidelines is crucial for maintaining trust. Data Privacy Another challenge is the need for vast amounts of high-quality training data, which often leads to concerns about data privacy and ownership. Companies must navigate legal frameworks while sourcing data to train their models effectively. Quality Control Maintaining the quality and accuracy of generated content is essential. Generative AI can produce outputs that are plausible but factually incorrect, necessitating robust validation mechanisms. Resource Intensity Additionally, the computational resources required to train and deploy generative AI models are substantial, which can limit accessibility for smaller organizations and startups. Bias Mitigation Lastly, addressing bias in training datasets is critical, as biased models can perpetuate stereotypes and lead to unfair outcomes, further complicating their deployment in sensitive areas.
Some interesting numbers and facts about your company results for Generative AI
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 6300 |
| Amount of suitable service providers | 5046 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2014 |
| Youngest suiting company | 2021 |
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Some interesting questions that has been asked about the results you have just received for Generative AI
What are related technologies to Generative AI?
Based on our calculations related technologies to Generative AI are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Generative AI?
Start-Ups who are working in Generative AI are Haiper, Katonic.ai, Behavioural AI
Which industries are mostly working on Generative AI?
The most represented industries which are working in Generative AI are IT, Software and Services, Other, Marketing Services, Media and Entertainment, Consulting
How does ensun find these Generative AI Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
