AI Product Engineering

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Accelerating Data to Actions

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionising the way businesses operate, offering unprecedented opportunities for growth and innovation

At Exponentia.ai we are driven to apply AI and Analytics to tackle your business challenges head-on. By harnessing the power of data, we deliver actionable insights that fuel your success.

GenAI
Unleash your creativity and innovation

Our generative AI solutions are designed to help you save time, money, and resources. By combining the power of Microsoft Open AI, AWS Bedrock and Databricks, we offer a comprehensive and customised solution that meets your specific needs and objectives. At Exponentia, we build production-ready Generative AI solutions using cutting-edge AI technology for enterprises

Roadmap development

We collaborate with business teams to create roadmaps, functional and technical solutions, total cost of ownership (TCO) and return on investment (ROI) analysis and change management plans for each use case.

State of art technical implementations

We use the leading GenAI architectures such as retrieval augmented generation (RAG), prompt engineering, reinforcement learning with human feedback (RLHF), text extraction, transformation and loading (TextETL) and automation to develop end-to-end solutions that are best in the industry.

Solution scalability and reliability

We use GenAI to automate design generation, optimization, and evaluation based on various metrics and constraints.

Security and compliance

We ensure data security, regulatory compliance, and cost and time efficiency for our GenAI applications. We leverage our prebuilt accelerators to speed up the deployment process.

Experienced team

Our experienced team of architects, ML engineers, data engineers, prompt engineers, data scientists, DevOps, LLMOps engineers and analysts work closely with the client ecosystem to develop and deploy the applications.

Roadmap development

We collaborate with business teams to create roadmaps, functional and technical solutions, total cost of ownership (TCO) and return on investment (ROI) analysis and change management plans for each use case.

State of art technical implementations

We use the leading GenAI architectures such as retrieval augmented generation (RAG), prompt engineering, reinforcement learning with human feedback (RLHF), text extraction, transformation and loading (TextETL) and automation to develop end-to-end solutions that are best in the industry.

Solution scalability and reliability

We use GenAI to automate design generation, optimization, and evaluation based on various metrics and constraints.

Security and compliance

We ensure data security, regulatory compliance, and cost and time efficiency for our GenAI applications. We leverage our prebuilt accelerators to speed up the deployment process.

Experienced team

Our experienced team of architects, ML engineers, data engineers, prompt engineers, data scientists, DevOps, LLMOps engineers and analysts work closely with the client ecosystem to develop and deploy the applications.

GenAI and Automation

Automate your workflow

Generative AI can be used to automate various tasks and processes that require creativity, innovation, or optimization. With the help of GenAI automation, we enable faster, cheaper, and more efficient workflows for your business, along with enhancing the quality and value of your products and services.

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What we use GenAI automation for:

Generative AI can be used to automate various tasks and processes that require creativity, innovation, or optimization. With the help of GenAI automation, we enable faster, cheaper, and more efficient workflows for your business, along with enhancing the quality and value of your products and services.

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Customer service

Our intelligent nudges platform offers real-time GenAI assisted call or chat conversations, along with better cross-selling recommendations.

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Software Development

We automate data management, code generation, testing, and debugging using GenAI.

Customer service

We use GenAI to automate design generation, optimization, and evaluation based on various metrics and constraints.

LLMs and GenAI
Collaboration with traditional AI

We combine Large Language Models (LLMs) and Generative AI with traditional AI and machine learning for a comprehensive approach that leverages both traditional AI and cutting-edge Generative AI. Our expertise in data engineering and pipelines helps us build you a strong base that leverages next gen insights.

We combine Large Language Models (LLMs) and Generative AI with traditional AI and machine learning for a comprehensive approach that leverages both traditional AI and cutting-edge Generative AI. Our expertise in data engineering and pipelines helps us build you a strong base that leverages next gen insights. Our AI enabled solution yielded remarkable benefits for our client, such as reduced time and cost, improved productivity and agility, valuable insights, and compelling presentations.

Machine Learning

At Exponentia, we customize ML algorithms to address your specific business problems. Our solutions extract maximum value from data assets to help you generate revenue, retain customers, and grow your business. We use AI and machine learning to understand and use data in more effective ways and also empower users of all skill levels to do more with data.

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Businesses can leverage our large variety of 150+ Models and use cases that we have deployed for our customers to run predictions, custom recommendation engines, run fraud detection or dynamic pricing models. We’ve even worked on real-time nudges that provide sales teams with instant insights.

LLMs and GenAI
Collaboration with traditional AI
ML Ops

Machine Learning Operations is the practice of applying DevOps principles and best practices to ML workflows. ML Ops enables you to automate and streamline the ML pipeline, ensuring quality, reliability, and scalability of your ML solutions. Using MLOps, we help you accelerate the development and deployment of ML models, monitor and improve their performance and accuracy, and govern them across different environments and platforms.

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LLMs

We also leverage large language models (LLMs) that can generate and understand natural language. With the help of LLMs we help you create and improve your content, such as text, code, images, audio, and video. You can also perform various natural language processing tasks, such as question answering, information retrieval, sentiment analysis, and more.

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