Gen Suite®
Generative AI Development and Consulting Services

We help your organization embrace Generative AI to invent intelligent solutions that can automate complex processes and enhance the overall efficiency of your business.

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Democratising Access to
Generative AI

We believe that the power of generative AI should be accessible to all, regardless of technical expertise or financial resources. That's why we are committed to democratizing access to this cutting-edge technology by providing affordable and user-friendly solutions that enable businesses to harness the full potential of AI.

Our team of experts leverages advanced algorithms and deep learning models to develop custom generative AI solutions tailored to your specific needs. Whether you're looking to automate your operations, generate new and innovative ideas, or enhance the overall efficiency of your business, we have the expertise to help you achieve your goals. We enable you to stay ahead of the competition and unlock new opportunities for growth and success.

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Generative AI
Our Services and Solutions

GAI Strategy Consulting

We offer Generative AI Consulting services to help you navigate the complexities of the technology and jargon to build solutions that can boost your business growth. Our experts work with you to identify growth opportunities and design an AI transformation strategy to implement the solution.

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Automation as a Service

We specialize in revolutionizing businesses by leveraging the power of Generative AI to automate business processes. With our expertise and advanced technologies, we can assist you in transforming manual, repetitive tasks into efficient and streamlined automated workflows.

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Augmentation as a Service

We offer game-changing solutions that empower businesses to augment their workforce through Generative AI. With our expertise in artificial intelligence and advanced technologies, we provide you with the tools and resources to enhance the capabilities of your workforce and drive unprecedented levels of productivity.

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AI Audits

We offer comprehensive AI audit services to help you ensure the ethical and responsible use of artificial intelligence. Through our AI audit services, we assist you in identifying and mitigating any ethical concerns, ensuring that your AI systems align with industry best practices and regulatory requirements.

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Design & Build Management

We offer development services using Large Language Models, Diffusion Models, and Transformer models to build solutions with state-of-the-art performance. We enable you to be ten steps ahead of your competitors. Reach out to us today to avail a no-obligation GAI technology consultation.

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Model Zoo

Our model zoo is designed to cater to various needs and applications, providing solutions for various modalities. Whether you require image recognition, natural language processing, audio analysis, or other specialized tasks, our model zoo has you covered. Reach out to us today to get demo of our model zoo.

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How we add more value
to your business

We are committed to adding substantial value to your business through our comprehensive range of services and expertise. Here are some key ways in which we contribute to your success:

Pilot Program: Our proven Pilot Program help businesses in raising capital after completing an MVP, enabling them to develop the full product. The program helps you validate product-market fit, create a prioritized product roadmap, and have confidence in your future investment decisions.

Partner Ecosystem: You can benefit from over $650K in credits and discounts on more than 200 key business platforms and tools, including AI infrastructure, through our partner program.

Prebuilt AI models: We have prebuilt and fine-tuned AI models that can speed up your AI adoption or implementation and reduce your ongoing fine-tuning costs. Accelerate your AI adoption and implementation while reducing ongoing costs of fine-tuning with our comprehensive suite of prebuilt and fine-tuned AI models.

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The Accubits

On-Premise Fine-Tuning

Your enterprise data is your USP and a model fine-tuned with your data will differentiate you in the marketplace. Our team of engineers will work with you to understand your data and your use cases to build together your own AI model. We’ll ensure data privacy by running our proprietary software on-premise.

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Model Selection

Accubits assists enterprises in navigating the vast array of open-source AI models and proprietary LLM-As-A-Service APIs. We help identify the most suitable options that align with business objectives, ensuring optimal model selection for maximum impact and success within the enterprise.

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Flexible Delivery

Accubits provides a range of options tailored to your business needs, from trained models to hosted services or fully adapted applications. Our offerings are designed to cater to your unique requirements, empowering you to choose the solution that best aligns with your goals and maximizes the benefits of AI technology.

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Inference Engine

We provide access to optimized foundational AI models at a fraction of the cost of building them yourself. Our engineering team simplifies the integration process, saves time and money and elevates your AI application with Inference on Bud Enterprise.

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Managed MLOps

Supercharge your AI operations with our managed MLOps services and say goodbye to operational headaches and enjoy seamless AI deployment. We ensure advanced management and monitoring and auto-scaling to adapt to your traffic demands.

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Generative AI Adoption Framework For Businesses

This whitepaper will explore generative AI and identify business growth opportunities it offers. We aim to provide business owners with a comprehensive guide to using AI to unlock new opportunities and achieve sustainable growth. We will explore how generative AI can be used to analyze data and identify patterns, as well as how it can be used to generate new ideas and solutions.

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Award Winning Services

As a pioneering establishment specializing in generative AI development, our organization harnesses a profound reservoir of knowledge and expertise to craft and oversee remarkable generative AI solutions rooted in cutting-edge technology. With unrivaled proficiency, we empower our clients with extensive possibilities and meticulously tailored resolutions to address the distinct prerequisites of burgeoning startups and established enterprises.













Accubits Partnered with Hedera


ISO 9001 Certified for Quality Management


Our Generative AI Development Process


Assess Organizational Needs

The first step in the development process is to assess the organizational needs of our clients. This involves conducting comprehensive consultations and discussions with key stakeholders to understand their business objectives, challenges, and requirements. We analyze their existing processes and identify areas where generative AI can provide value and enhance operations. By deeply understanding our client's needs, we can effectively tailor the development process to address their goals.


Evaluate Infrastructure and Resources

Our development team evaluates the existing infrastructure and resources available within our client's organization after assessing the organizational needs. We assess their hardware capabilities, software systems, and data infrastructure to ensure they can support the development and deployment of generative AI solutions. This evaluation helps identify gaps or limitations that need to be addressed, such as upgrading hardware or implementing data management systems, to ensure a smooth integration of generative AI technology.


Consider Cost and Accessibility

Cost and accessibility are crucial factors in development. We conduct a detailed cost analysis, considering development expenses, hardware and software costs, maintenance, and ongoing operational expenses. This analysis helps us provide our clients with transparent pricing and identify cost-saving opportunities. Additionally, we consider accessibility, ensuring that the generative AI solutions are user-friendly and accessible across different devices and platforms, enabling widespread adoption and usability.


Consider Ethical and Bias Considerations

Ethics and bias are important considerations in generative AI development. We conduct an in-depth analysis of the potential ethical implications and biases associated with the system. We implement measures to ensure privacy and data security, transparency of algorithms, and compliance with relevant regulations. We also pay close attention to bias in training data and algorithms, implementing techniques such as data preprocessing and algorithmic fairness to mitigate bias and promote the ethical use of generative AI technology.


Evaluate Customization Needs

Every organization has unique requirements and preferences. During the development process, we evaluate the customization needs of our clients. We assess how much the generative AI solutions can be customized to align with their specific industry, workflows, and branding guidelines. Moreover, this includes evaluating the system's flexibility to accommodate input formats, output styles, and integration with existing software or processes. We ensure that the generative AI solutions seamlessly integrate into our client's operations by offering customization options.


Assess Risk and Compliance

Risk assessment and compliance are critical for the success and integrity of generative AI solutions. We comprehensively assess potential risks, including security vulnerabilities, data breaches, and legal or regulatory compliance issues. By identifying these risks, we can implement robust security measures, encryption protocols, and privacy controls to protect sensitive data. We also ensure compliance with relevant laws and regulations governing generative AI technology, such as data protection or industry-specific regulations.


Perform Proof of Concept

Before full-scale development and deployment, we perform a proof of concept (POC) to validate the feasibility and effectiveness of the generative AI solution. Moreover, this involves developing a small-scale prototype or pilot project that demonstrates the core functionalities and benefits of the system. The POC allows us to gather feedback from stakeholders, test the system's performance, and identify any areas that require improvement or refinement. By conducting a POC, we ensure that the final solution meets the expectations and requirements of our clients.


Monitor and Iterate

Once the generative AI solution is deployed, our development process does not end. We establish a robust monitoring and iteration framework to continuously assess the performance and impact of the system continuously. We gather feedback from users and stakeholders, monitor key metrics, and conduct regular evaluations to identify any issues or areas for enhancement. Based on this feedback, we iterate on the solution, releasing updates, incorporating new features, and addressing emerging challenges or requirements. This iterative process ensures that the generative AI solution remains effective, relevant, and aligned with the evolving needs of our clients.

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We're Trusted By,

Our tech expertise has earned the trust of top global brands and esteemed Federal agencies.

United States Postal Service
Abu Dhabi National Exhibition Centre ADNEC
Li and Fung
Smart Dubai
Dubai Electricity and Water Authority dewa
Ministry of Health (MOH)
JP Morgan Chase and Co

What our clients say about
Our Services

Calculate your ROI

We can help you calculate your ROI from investing in Generative AI products and solutions.

Helpful Resources

Selected blogs and resources that you may like.


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Opensource Code LLM Leaderboard


Unlocking The Power of Data Analytics To Drive Business Growth




How to develop a ChatGPT plugin

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Non-obvious business growth opportunities of Generative AI.

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A Strategic Approach to Leveraging Generative AI in Education

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Stable Diffusion Simplified

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Frequently Asked Questions

Here are some frequently asked questions. If you are still looking for what you're looking for, send us your query, and our experts will respond with accurate answers within 24 hours.

What are some common use cases for Generative-AI?

Generative AI is being used in a variety of industries, including:

  • Creative Arts: Generative AI is being used to create music, videos, images, and other forms of digital content.
  • Healthcare: Generative AI analyzes medical images, predicts disease outcomes, and develops personalized treatment plans.
  • Finance: It can help you generate financial reports, forecast, and detects fraud.
  • Supply Chain Management: Generative AI optimizes supply chain processes, reduces waste, and improves delivery times.
How do you implement Generative AI?

Generative AI is a type of Artificial Intelligence that generates new and unique content or outputs, such as images, music, text, or other forms of media.
Implementing Generative AI involves the following steps:

  • Data Collection: The first step is to collect a large amount of data that will be used to train the Generative AI model. This data should be relevant to the task the model intends to perform.
  • Model Selection: There are various types of Generative AI models available, including generative adversarial networks (GANs), variational autoencoders (VAEs), and deep convolutional generative adversarial networks (DCGANs). The choice of model will depend on the type of data being generated and the desired outcome.
  • Model Training: The collected data is used to train the Generative AI model using deep learning, reinforcement learning, or unsupervised learning techniques. The training process involves adjusting the model's parameters until it can generate outputs similar to the training set's data.
  • Model Deployment: Once the model has been trained, it can be deployed in a production environment to generate new outputs. The deployed model can also be fine-tuned over time to improve its performance.
  • Evaluating Performance: The performance of the Generative AI model can be evaluated by comparing its outputs to the data in the training set. The model's outputs can also be evaluated qualitatively by human experts.

In conclusion, implementing Generative AI requires a solid understanding of the domain, data collection, model selection, model training, model deployment, and performance evaluation.