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New York, United States
1-10 Employees
2012
Drumroll's 100+ algorithms work right out-of-the-box, so you don't waste time setting up and learning how to use yet another platform. Unlike other solutions, Drumroll can analyze and compute data on the fly, even without integrations or metadata available. Drumroll allows you to import data sets from over 500 data sources. Drumroll's platform is designed to help teams share dashboards with colleagues and external parties. Drumroll is designed for everyone, regardless of technical abilities. Now, thanks to Drumroll’s platform, we don’t have to wait for anyone anymore, and we are learning things from the data that we didn't even know how to ask!”. Drumroll's platform immediately allowed us to save almost 80% of the costs. If you know how to buy something on Amazon, you are all set for Drumroll.
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Featured
Drumroll.ai — Generative AI-powered analytics engine
... You've seen Generative AI write, draw, compose, and code. Wait until you see what it does with data. Sign up for exclusive early access to our ChatGPT-powered platform. ...
Mumbai, India
1-10 Employees
2021
Get an upgrade that offers 300% faster performance, better UX, real human support, and no third-party app dependencies for growth.
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Generative AI Commerce
... HypeStore Generative AI ...
Old Toronto, Canada
1-10 Employees
With an Innovative team at DLytica, we work on converting your Data Strategies to Solutions. We leverage a team of skilled Data Architects, Data Engineers, Data Scientists, Analysts, and Project Managers to produce robust, scalable, and resilient solutions. We work with multiple cloud environments, AWS, Azure, and GCP, wherever we find the best fit that delivers both benefits and cost advantages. we provide a data strategy aligned with the organization’s mission and vision to develop a plan for solutions on connecting, collecting, processing, analyzing, and driving decisions across the organization. With the right plan, and resulting strategy, we build advanced, cutting edge, cost effective, scalable data solutions for faster decision making.
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Featured
Generative AI Solution
... Generative AI can create unique content, optimize product design, automate decision-making and fraud detection, improve customer service and personalize the customer experience. ...
Vienna, Austria
11-50 Employees
By loading the video, you agree to YouTube's privacy policy.Learn more. Further details can be found in our privacy policy. You can revoke or adjust your selection at any time under Settings. Content from video platforms and social media platforms is blocked by default.
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Generative AI for structured data
... Generative AI for structured ...
Manchester, United Kingdom
1-10 Employees
2019
INTELLITHING: No-code, drag-and-drop, and modular platform for stacking large language models and components as if they were LEGO® bricks to develop unique generative AI applications. With INTELLITHING, you can build customized applications of Generative AI with no code Specific to your task, pre-trained in your domain, super charged with your knowledge, connected to your data source, and capable of interacting with your technology stack. INTELLITHING treats different large language models like LEGO® bricks. We are proud to be a crucial part of the AI transformation journey for world-renowned brands. Our growth is fueled by the support of leading operators and forward-thinking funds from around the world.
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Generative AI
... Your Data + Your Knowledge + Your Skills = Your personalized Generative AI ...
Menlo Park, United States
1-10 Employees
2018
PatentPal was founded in Silicon Valley by Harvard alums with cross-domain expertise in patent law and machine learning. PatentPal closes a financing round led by Foothill Ventures. PatentPal wins first place from among 190 Harvard-affiliated startups at Harvard China Forum. PatentPal wins top five from among 43 Harvard-affiliated startups at Harvard New Venture Competition. PatentPal wins first place from among 15 startups at Plug & Play.
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Featured
Generative AI for Intellectual Property
... Generative AI for Intellectual ...
Burnsville, United States
11-50 Employees
2009
We’re working toward the day when everyone no longer worries about their online network security. The day when companies don’t have to spend millions to ensure the privacy integrity and data security of their networks. The day when those who seek to gain from anothers’ expense are forever frustrated, the way they frustrate so many businesses, people and institutions today. Everyday we work harder to bring CyberSafety to reality. Veteran IT developer with 30 years’ experience in designing robust, scalable IT solutions.
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About Us | CloudCover
... CyberSafety as the Generative-AI XDR-Insured SASE ...
London, United Kingdom
11-50 Employees
2021
Haiper is a powerful perceptual foundation model-driven AI, designed for a new path towards AGI. We are building video creation AI products crafted to empower individuals in creatively expressing themselves, making it effortless to deliver enjoyable, fun and relatable content across various social media platforms. Haiper is an AI research and product company based in King's Cross, London. Founded by alumni from Google DeepMind, TikTok and top research labs from academia, Haiper brings both cutting edge machine learning and a belief that creativity should be fun, surprising and shareable. This has shaped our innovative approach to building Haiper, as a powerful, industry agnostic creativity tool, with fun, shareability and community at the centre. By building our product and brand around the passion that drives creativity (and listening to the needs of our growing audience), we are positioned to be the platform and driving force behind a new generation of creators, both within a number of different verticals, and between them, as technology blurs traditional boundaries. At its heart is a belief that AI isn’t simply a better version of what has come before; but if it embraces and mirrors the creative mindset and process in time will offer us a totally new way of working with fun, energy and originality at its heart. We prioritise interactive, responsible model development with a community who are passionate about propelling genre-shifting, AI-powered creativity.
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Haiper | Generative AI For Video Content Creation
... Explore cutting-edge generative AI video creations in one stop – from text-to-video to image-to-video and video repainting. Start creating and enjoy! ...
Madrid, Spain
1-10 Employees
2020
RankUP is designed to make coding faster, easier, and more efficient than ever before. RankUP uses the most popular AI models such as GPT, Dall-E, Ada to create text, image, code and more within seconds. RankUP provides an almost native-app experience thanks to its mobile-first approach. Whether you’re looking to book a reservation, get product recommendations, or just chat about the weather, RankUP is always ready and willing to help. Our AI-powered generator provides custom responses to common questions in seconds. Our tool offers seamless grammar correction for flawless content. Leverage our state-of-the-art AI technology to quickly and easily generate code in any language. Simply input some basic information or keywords about your brand or product, and let our AI algorithms do the rest.
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Ultimate Generative AI Generator Chatbot Assistant
... Ultimate Generative AI Generator Chatbot ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for Generative AI
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 1120 |
| Amount of suitable service providers | 940 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 2009 |
| Youngest suiting company | 2021 |
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Generative AI refers to a subset of artificial intelligence technologies that have the capability to generate new, unique content or data that is similar but not identical to the original input data. This innovative technology leverages deep learning algorithms and neural networks to understand and replicate the underlying patterns and structures of the provided data, whether it be text, images, music, or even code. The process involves training the AI system on a large dataset within a specific domain until it can produce output that mimics the original data in a convincing manner. One of the most notable applications of generative AI is in the creation of realistic images or videos from textual descriptions, a task that has significant implications for content creation, entertainment, and even synthetic data generation for training other AI models. Furthermore, its ability to generate novel ideas or designs has opened new pathways in creative industries and product development, offering potential solutions to longstanding challenges by providing a plethora of options that were previously unattainable. The impact of generative AI extends beyond mere novelty; it is fundamentally altering the landscape of many fields by enhancing creativity, streamlining workflows, and enabling more efficient problem-solving strategies. Its continued evolution promises to unlock even greater potential, making it a key driver of innovation in the digital era.
1. Enhanced Productivity
Generative AI significantly boosts productivity by automating content creation, data analysis, and decision-making processes. This automation allows humans to focus on more complex and creative tasks, enhancing overall output.
2. Personalization at Scale
One of the standout features of Generative AI is its ability to deliver personalized content and solutions on a massive scale. By understanding and adapting to individual user preferences and behaviors, it offers tailored experiences that traditional methods cannot match.
3. Cost Efficiency
Implementing Generative AI can lead to substantial cost savings for businesses. By automating routine tasks, companies can reduce labor costs and minimize errors, leading to more efficient operations and higher-quality outputs.
4. Continuous Learning and Improvement
Generative AI systems are designed to learn from each interaction, which means they continuously improve over time. This ability to adapt and enhance their performance without human intervention ensures they remain effective and relevant.
While evaluating the different suppliers make sure to check the following criteria:
1. Technology Competence
Assess the supplier's expertise in the latest Generative AI technologies, including their proficiency in machine learning, natural language processing, and neural networks.
2. Customization Capabilities
Evaluate whether the supplier can tailor their Generative AI solutions to fit your specific business needs and objectives.
3. Data Security Measures
Ensure the supplier adheres to stringent data protection regulations and employs robust security protocols to safeguard sensitive information.
4. Scalability
Determine if the Generative AI solutions offered can scale with your business growth without compromising performance or reliability.
5. Support and Maintenance
Consider the level of ongoing support and maintenance services provided, including availability of technical assistance and system updates.
6. Cost-Effectiveness
Analyze the overall cost relative to the value delivered, ensuring the pricing structure aligns with your budget and expected return on investment.
7. Reputation and Reviews
Research the supplier's market reputation, customer feedback, and case studies to gauge their reliability and the quality of their solutions.
Generative AI is revolutionizing the way businesses operate across different sectors. In the marketing industry, for instance, it's being used to create personalized content at scale. By analyzing customer data, generative AI can produce customized emails, blog posts, and social media content that resonates with the target audience, significantly improving engagement and conversion rates. In the realm of product development, generative AI is a game-changer. Companies are leveraging this technology to design innovative products by simulating how variations in design can affect performance. This not only accelerates the product development cycle but also enhances creativity, allowing businesses to explore options they might not have considered otherwise. Another critical application is in customer service. Generative AI enables the creation of advanced chatbots and virtual assistants that can understand and respond to complex customer queries in real-time. This improves the customer experience, ensuring queries are handled efficiently and accurately, which in turn, boosts customer satisfaction and loyalty. Furthermore, in the finance sector, generative AI is being used for risk management. By analyzing vast amounts of financial data, AI can predict market trends and identify potential risks, enabling companies to make informed decisions and strategize accordingly. This predictive capability is invaluable for maintaining a competitive edge in the fast-paced financial industry.
Generative AI, a rapidly evolving frontier in artificial intelligence, currently finds itself at varying Technology Readiness Levels (TRLs), predominantly between TRL 4 to TRL 6. This range is attributed to the technology's successful demonstration in controlled environments (TRL 4), through to the integration and testing in relevant environments (TRLs 5-6). The divergence in TRLs across the spectrum of generative AI applications is fundamentally tied to the technical complexities inherent in this domain. Key factors include the quality of data sets for training, the sophistication of algorithms, and the computational power required to support these systems. For instance, advancements in neural networks and machine learning algorithms have propelled generative AI forward, yet the technology grapples with challenges such as ensuring data integrity, overcoming biases in training data, and the need for substantial computational resources. These technical hurdles are significant in determining the pace at which generative AI transitions to higher TRLs, where its solutions can be fully deployed in operational settings. Moreover, as researchers and developers refine these systems, addressing scalability and ethical considerations, generative AI is poised for advancement into higher TRLs, demonstrating its readiness for widespread practical application.
In the Short-Term, generative AI is expected to see significant improvements in natural language processing and image generation technologies. These advancements will enable more sophisticated chatbots and virtual assistants capable of understanding and generating human-like responses. Additionally, image generation tools will become more precise and versatile, allowing for more realistic and customizable content creation. This phase will also witness the integration of generative AI in content creation platforms, enhancing productivity and creativity. Moving to the Mid-Term phase, generative AI will likely evolve to include advanced predictive modeling and decision-making capabilities. This period will see AI not only generating content but also analyzing vast datasets to predict trends, making it invaluable in sectors like finance, healthcare, and climate science. The technology's ability to simulate scenarios and predict outcomes will become more accurate, offering insights that were previously unattainable. Furthermore, ethical frameworks and regulations surrounding AI's use will begin to solidify, addressing concerns about authenticity and misuse. In the Long-Term, generative AI is poised to revolutionize personalization and customization in digital interactions. It will enable highly personalized content creation, tailored to individual preferences and behaviors, across various platforms. The technology will also advance in creating complex simulations, aiding in research and development across disciplines. Moreover, as AI becomes more integrated into daily life, new forms of human-AI collaboration will emerge, blurring the lines between human-generated and AI-generated content, and fostering a new era of creativity and innovation.
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?
Which industries are mostly working on Generative AI?
The most represented industries which are working in Generative AI are Information Technology, Software, Professional Services, Science and Engineering, Artificial Intelligence
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.
