ABOUT US

THE BRAINS BEHIND REAL
AI

Meet the architects driving AI innovations to redefine industries

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ABOUT US

our mission

Empowering Global Industries Through AI

Real AI is committed to transforming complex data into innovative, sustainable AI solutions. Our focus spans multiple sectors, aiming to drive global growth and efficiency. By leveraging advanced algorithms and deep industry knowledge, we are dedicated to empowering businesses and communities through the potential of artificial intelligence.

Our vision

Pioneering the AI-Driven Sustainable Future

Our vision at Real AI is to be at the forefront of AI technology, shaping a smarter, more sustainable future. We aspire to optimize energy management, enhance industrial processes, and deliver breakthrough solutions. Through our commitment to innovation and excellence, we envision a world where AI not only drives business success but also contributes significantly to societal well-being.

8

Industries

50

Solutions

8

Countries

STRATEGIC ALLIANCES

Collaborations and Partnerships

Where Vision Meets Execution

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testimonials

Straight from the Source

See why clients advocate for our Quick, efficient, and transparent approach

A comprehensive well correlation analysis is necessary to understand the subsurface picture of fracture, bedding planes and vug connectivity. Having experienced EarthScan's solution on Well-correlation, it's clear that their end-to-end MLOPS framework will boost companies' operational speed remarkably, making them an industry frontrunner.

Real Ai

Dr. Nader Mosavat

Director Muscat University

Due to variation in lithology in wide range of depositional environments a customized deep learning model of well-correlation is essential for scalability. EarthScan's robust, high-precision algorithms are primed to provide transformative insights for businesses, opening new horizons in the oil and gas industry.

Real Ai

Dr. Paresh S Roy

Professor IIT Kharagpur

EarthScan's Well correlation model will be a prerequisite to directional drilling. Its groundbreaking scanning technology promises to enable accurate location of sea-based oil deposits in less time than ever before. It's the future of offshore exploration.

Real Ai

Dr. Edwin Porte

Ex-Shell Manager, Founder of Troyka Innovations

EarthScan's platform is a breakthrough in AI-driven technology, revolutionizing industries with its precision and efficiency, especially in oil and gas exploration. By expediting the location of oil deposits and boosting operational speed, it offers a new industry standard. With advanced visualization tools and robust algorithms, it heightens productivity, provides transformative insights, and ensures rapid decision-making. An indispensable tool for businesses, EarthScan is the future of efficiency and discovery.

Real Ai

Anmol Vishwakarma

Exxon Mobil

Machine learning is something that I’ve always been interested in, but had difficulty comprehending. LiveAI’s online training helped me acquire the practical skills I was looking for. The course not only covers the essential knowledge required to understand neural networks, but also provides guided practice in implementing machine learning into Python code. The staff was supportive, involved, and always ready to answer any questions I had. It was a really personalized experience, and I’d highly recommend it to anyone pursuing a career in artificial intelligence!

Real Ai

DAVID ALLEN

CS Student at the University of Texas, Dallas

I am really excited and looking forward to hearing more about future courses at LiveAI. It is a great initiative and as a lifelong student, I hope to get an opportunity to witness and use this amazing platform.

Real Ai

TANIYA RIAR

Data Engineer at Pizza Hut Connect Yum

Great teaching, engaging discussions at all stages of the learning journey.

Real Ai

AXEL THIEFFRY

Data Scientist & Computational Biology - Novo Nordisk Foundation for Biosustainability

I enjoyed the Deep Learning workshop with Tarry with Think.IT event and look forward to seeing more such learning in LiveAI as it looks promising.

Real Ai

Hamza Rhibi

Cloud ML Engineer, AWS

Tarry and his team were quite friendly during the whole week-long training school. His teaching method and strategy which was followed by his team is adequately compatible with a wide spectrum of attendees. He successfully managed to teach even the most complex topics to the fresh master students-like me at the moment we met with Tarry-. I strongly recommend his expertise within the machine learning / deep learning field.

Real Ai

Rüçhan Ekren

Doctoral Student at Cancer Research Center of Toulouse

I enjoyed Tarry’s Deep Learning in Healthcare workshop in Barcelona and I look forward to the future training workshops.

Real Ai

Gang Li

Post Doc, Chalmers Univeristy

It was a unique experience to learn from Tarry. The summer school was very well organised and all the lectures and the hands-on AI was in very high standards.

Real Ai

Dr. Vasileios Panagiotis Lenis

Bioinformatic Lecturer Teesside University

FAQ

Frequently Asked Questions

Cutting Through Complexity: Answers to Your Pressing Questions

What makes Real AI different?

  1. We are results driven.
  2. We’re very deep in AI and ML.
  3. We understand business and technology
  4. We know when to use AI
  5. We’re extremely agile

Are your AI consulting services suitable for small businesses as well as larger enterprises?

Our AI consulting services cater to businesses of all sizes, from small startups to large enterprises. We develop customized solutions that address the unique challenges and requirements of each client, ensuring scalability and adaptability as your business grows.

How do you ensure the AI solutions you recommend are a good fit for my business?

We start by conducting a thorough assessment of your business goals, requirements, and existing infrastructure. This allows us to identify the most suitable AI solutions that address your specific challenges and deliver optimal results.

What is your approach to designing and implementing AI strategies for clients?

Our approach to designing and implementing AI strategies involves understanding your unique needs, developing customized solutions, and providing support throughout the implementation process. We also offer ongoing monitoring, optimization, and maintenance to ensure long-term success.

How do you measure the success of your AI solutions and strategies?

We measure the success of our AI solutions through key performance indicators (KPIs) that are tailored to your specific goals and objectives. This could include metrics such as improved productivity, cost savings, increased revenue, or enhanced customer satisfaction.

What is the typical timeframe for implementing an AI solution in my business?

The timeframe for implementing an AI solution depends on various factors, such as the project's complexity, the size of your business, and the level of customization required. Rolling out AI models with full scalability support takes 3 to 36 months. Building state-of-the-art scalable and consumable AI models, data acquisition, preparation ensuring proper representation, and ground truth preparation for training and testing takes the most time. The next aspect involves containerization, packaging, and deployment of the AI model in production.

How do you ensure data security and privacy when implementing AI solutions for clients

We start by analyzing which fields are essential to the business and applying data governance. We generate our first solutions on a closed dataset to ensure the safety and confidentiality of all data. We ensure that the development and adoption of AI have the oversight of professionals to ensure humans are in the loop We developed a gating process to break an end-to-end cyber attack. We add control gates using AI to see if the perturbations are system-based or malicious.

Who hosts your projects?

Depending on the nature and scope of your AI project, you may need to choose between different deployment platforms, such as cloud, edge, hybrid, or on-premise. We will evaluate the trade-offs and requirements of each platform and select the one that best suits your project's goals and constraints. Our in-house MLOps ecosystem is vendor-neutral to ensure freedom and portability on any service.

Who maintains your projects?

Service-level agreement (SLA) are agreed with the clients and can work as a subscription service model. If an issue arises, we will fix the problem as part of the agreement with the organization. Maintenance, security, monitoring, reporting and other services are defined using an SLA. Our in-house specialized Machine Learnining Operational platforms automatically manage functions of the entire lifecycle.

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