CIOInsider India Magazine

Generative AI solutions powered by foundation models (large AI models) have rapidly gained traction across industries due to their ability to multi-task and perform out-of-the box tasks, including summarization, Q&A, classification, and more. These solutions empower businesses to tackle complex challenges by using AI to generate contextual insights, predict trends, automate workflows, and even produce creative outputs. As organizations increasingly adopt AI, there is a growing demand for solution providers who can deliver scalable, adaptable, and high-quality AI systems tailored to specific business needs.

Solution providers in the generative AI space plays a pivotal role in helping enterprises integrate AI technologies into their operations. The need for such providers stem from the complexity of AI implementation and the constant evolution of AI frameworks, tools, and libraries. Organizations require expertise in managing the entire AI lifecycle, from identifying business problems and collecting relevant data for deploying AI models and ensuring their performance through continuous monitoring.

Akaike Technologies, founded in 2018, has emerged as a key player in this space, offers bespoke artificial intelligence solutions for global enterprise clients. With a mission to make multi-modal AI accessible, effective, and transformative, Akaike Technologies focuses on developing scalable, plug-and-play AI products and services.

The company’s expertise lies in end-to-end management of AI lifecycle processes including problem identification and data collection to model deployment and ongoing monitoring, utilizing industry-leading frameworks, tools, and libraries. By developing vertical-specific Large Language Models (LLMs) tailored to address the unique requirements of organizations, Akaike Technologies has successfully positioned itself as a trusted provider of AI solutions delivering tangible results for their clients from varied industry verticals.

What are your flagship generative AI solutions and the approach you follow

to maintain customer trust and satis -faction levels?
At Akaike Technologies, we offer a range of flagship generative AI solutions designed to meet the unique needs of various industries. Our Custom LLM Solutions involve building and fine-tuning large language models tailored to specific business requirements, empowering multi modal Natural Language Processing (NLP) tasks like visual questions answering, automated content generation, sentiment analysis, and conversational AI development. We also support generating synthetic data to enhance training datasets, especially when data is scarce or imbalanced, improving the model accuracy.

faster, more accurate, and efficient. The results were remarkable. TJFC could evaluate over 10 times more credit reports each month, going from just 10 reports in December 2023 to over 100 by July 2024. Additionally, we incorporated generative AI enabled solution, which enabled credit risk officers at TJFC to instantly gather actionable insights from the reports via a chat interface, helping them quickly assess whether a loan profile was high or low risk. This solution not only improved their credit risk officers workflow but also reduced their loan processing time, allowing them to serve more customers.

How would you describe the brains behind building and deploying these solutions? What is the level of expertise they bring to the table?
We are a team of highly skilled data scientists and AI engineers with deep expertise in AI architecture, NLP, and Machine Learning (ML) algorithms. We are adept in leveraging industry-leading tools and techniques to efficiently develop, fine-tune, and deploy LLMs. The team excels in several key areas, including data modeling and engineering, where they design and structure data for efficient use by AI models. Our expertise in prompt engineering lets us craft effective prompts to guide an LLM’s responses, ensuring accuracy, relevancy, and adherence to specific objectives.

Additionally, we support with thorough evaluations of LLM performance, focusing on accuracy, reliability, and fairness. With a strong understanding of both open-source and proprietary LLMs, the team ensures the right model is chosen based on cost, scalability, and customization needs. Also, our moat lies in customizing existing LLMs on domain-specific data to improve performance for specialized tasks and facilitate integration into existing workflows, enabling us to deliver innovative bespoke AI solutions.

What is the next chapter planned for Akaike Technologies?
Unlike horizontally trained LLMs, which provide general knowledge across a wide array of topics, Akaike Technologies' vertically trained LLMs are specifically designed to excel in specialized sectors such as pharmaceuticals, finance and retail. This targeted approach enables us to transform workflows and deliver more accurate, contextual insights in these sectors. These vertically trained LLMs are fine-tuned to address the nuanced requirements of professionals in these fields. For example, specialized LLMs conduct complex risk assessments, detect fraud, and analyze the market trends with a level of precision that generic models cannot match. In the pharmaceutical sector, these LLMs are being effectively used in sales intelligence, clinical documentation and drug discovery.