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BRAiN

Build Responsible AI Narratives

What is BRAiN?

Build Responsible AI Narratives (BRAiN) is a no-code AI platform that simplifies and accelerates responsible AI adoption for businesses and individuals. It enables users to build, customize, and deploy AI solutions and use cases for different industries without coding knowledge, making AI accessible and easy to integrate into workflows. With experience across multiple use cases, BRAiN ensures effective and ethical AI integration.


Driving Value with Responsible AI

Fast-tracking success with an ethical approach, our Generative AI practice merges in-house acceleration for prompt results while upholding responsible AI principles.

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Controllability
aws zeroandone application modernization
Privacy & Security
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Safety
aws zeroandone Managed Cloud Operations
Fairness
aws zeroandone Professional Services
Veracity & Robustness
aws zeroandone Cloud Cost Optimization
Explainability
aws zeroandone AI & Machine Learning
Transparency
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Governance

Our Expertise

Generative AI Services

ML Services

Data & Analytics Services

Success Stories

sharaf retail aws case study
Snoonu Embraces AWS for Savings, Security, and Generative AI with Zero&One
Fast-growing Qatari tech company Snoonu migrated and consolidated key workloads and systems from multiple cloud providers to Amazon Web Services (AWS) to simplify staff operations, improve reliability, and save costs. The migration also gave the company the chance to re-engineer many workloads away from virtual machines and onto Kubernetes on AWS to take advantage of microservices architecture, reducing costs and minimizing management overhead. Snoonu is also using AWS machine learning services to automatically improve its inventory management and customer experience, and to reduce manual overheads.
bluepi
BluePi: Your AI Cloud Governance Platform
BluePi is an advanced Cloud Governance platform, designed to seamlessly optimize cloud infrastructure and elevate operational efficiency, offering a robust suite of features that empower businesses to innovate, scale, and secure their cloud environments effortlessly.
mediaone
Enhancing Global Reach with MediaOne: Streamlining Multilingual Video Content
MediaOne stands out for its seamless integration of AWS AI-driven technologies, significantly reducing the time and effort required for multi-language subtitling, translation and gaining content insights. It offers a unique combination of automation and customization to ensure both efficiency and accuracy in content processing. This approach not only streamlines the subtitling process but also ensures high-quality, culturally relevant content delivery, making it an invaluable asset for businesses aiming to expand their global reach and audience engagement.

The P³ Framework

The P3 Framework is a structured approach to AI adoption, consisting of three phases: Prepare, where organizations strategize and plan their AI initiatives; Proof, where they develop and implement their first AI project; and Productize, where they refine, scale, and integrate the AI solution into their operations for continuous optimization and governance.
Prepare
What to Build?

2-4 Weeks


Strategize and plan for AI adoption by identifying practical applications, assessing business impacts, and establishing a roadmap for implementation.

Proof
How to Build it?

6-8 Weeks


Develop and implement your first AI project through iterative collaboration, ensuring seamless integration and validation of AI solutions within existing systems.

Productize
How to scale it?

12-24 Weeks


Refine and scale your AI solution for broader deployment, integrating it into operational processes while optimizing performance and governance for sustained effectiveness.



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AI as a Service Offer




Jumpstart Your Journey by Exploring our Innovations

EdOne
EdOne
Embrace EdOne and step into a world where education is more accessible, engaging, and aligned with the needs of a global, digitally-driven environment. Zero&One brings to the table EdOne, a groundbreaking educational platform powered by Generative Artificial Intelligence (GenAI), designed to transform the way educators teach and students learn.
reduce aws bill
AI Readiness
An immersive one-day workshop that focuses on leveraging AI in business to increase productivity and gain a competitive advantage. The workshop utilizes expert insights and a structured framework to gauge AI-Readiness, identifying and evaluating use cases based on their alignment with business value and technical feasibility. Through hands-on exercises and real-world examples, the workshop bridges the gap between theory and practical application.
Landing Zone
Landing Zone Accelerator
Ensure a secure, scalable, and compliant environment tailored to academic needs.

AI's Creative Capabilities Explored

Power of generative ai
The Transformative Power of Generative AI Chatbots
The realm of business is constantly evolving, with Artificial Intelligence (AI) playing a key role in this transformation. Among the various AI-powered tools, "Generative AI Chatbots" have emerged as a game-changer [6].
Generative Ai
Generative AI: Leveraging AWS Cloud for Comprehensive Solution
Generative AI, the ability of artificial intelligence to create new content, is a rapidly advancing field with tremendous potential across industries. By integrating generative AI with the Amazon Web Services (AWS) Cloud, businesses and individuals can unlock a wealth of opportunities. This blog post explores the background, benefits, and practical implications of combining generative AI with AWS Cloud, providing a comprehensive understanding of this powerful technology.
reduce aws bill
Speech-to-Image Generation using Multi-Deep Learning Models and AWS
In this blog, we demonstrate how multiple deep learning models can be combined to create a speech-to-image solution. We utilized the Stable Diffusion Model and Amazon Transcribe and Amazon Translate services to develop our solution. The process involves uploading an mp3 recording into S3, which triggers a lambda function to call Amazon Transcribe for speech-to-text conversion. Then, Amazon Translate is used to translate the transcribed text to English, and the HuggingFace model deployed on SageMaker is invoked to generate an image from the translated text. The resulting image is saved to a specific sub-bucket.

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