Generative AI Services & Large Language Models (LLMs)
Ever felt like there just aren’t enough hours in the day to achieve everything you want for your business? Imagine having a powerful AI assistant by your side, helping you identify new opportunities, streamline processes, and get things done faster. That’s the potential of Generative AI. We’re unlocking it for enterprises like yours. Our conviction lies in the belief that generative AI isn’t just a tool; it’s the catalyst for a new era of breakthrough innovations and competitive superiority. Our three-pronged approach focuses on real-world results:
Supercharge your projects with Generative AI.
LLAMA2,GPT-4,Mistral,and Falcon
Key use cases
Our Gen AI solutions
Domain solutions
Enterprise digital assistants
Workplace productivity
Software development & quality engineering
Gen AI for enterprise adoption!
Industry use cases
Boost your business efficiency and foster innovation with our pre-built generative AI solutions. Tailored for critical business functions including sales, marketing, customer service, finance, and talent acquisition, these solutions accelerate innovation, enhance productivity, and lower costs.
The Indium X AWS Bedrock advantage
Faster experimentation & evaluation
Using Amazon Bedrock, we offer faster experimentation, enabling customers to easily experiment with and evaluate top Gen AI foundation models for their use cases in a shorter time. Combining our NLP experience and document-related expertise such as OCR, data extraction, and document classification, we can add value to the algorithm layer on top of these results.
Expertise across multiple models – LLAMA2, Mistral, GPT, and Azure OpenAPIs.
Expertise across various use cases
Our expertise across data extraction, OCR, knowledge base management, document classification, agent-based tasks, audio transcription, report generation, image-based anomaly detection, sentiment analysis, ticket analysis, and SWOT analysis – gives you the edge when combined with Bedrock.
On-demand customizable models
Amazon Bedrock supports fine-tuning and continued pre-training, allowing customers to adapt models to specific tasks and domains with their own data. We understand the AWS landscape and can build production-ready applications. With Amazon Bedrock, we securely integrate and deploy generative AI capabilities into applications using AWS services without managing any infrastructure.
Service offerings
Why Indium
Digital engineering DNA
As a leader in digital engineering, software lies at the core of our business. Embracing Generative AI enables us to extend our distinguished software engineering expertise into innovative Generative AI projects. We collaborate with clients across various industries, leveraging this technology to supercharge software development, enhance employee and customer services, and streamline workplace processes.
AI thrives on data, we are data experts
Leveraging our extensive experience, we position ourselves as the perfect partner for businesses aiming to implement Generative AI. Our expertise lies in integrating the technology with diverse enterprise datasets, ensuring scalable solutions that fully comply with security, privacy, and governance standards.
Deep domain expertise
Our diverse client base equips us with the industry expertise necessary to develop domain-centric Generative AI use cases. This enables us to unlock new data insights, create tailored industry buyer personas, experiment with new models, and offer digital agents for both B2B and B2C interactions.
IPs and investments
Our ambition is centered on the efficiencies, outcomes, and value that Generative AI can bring to our clients. This commitment is evident in our continuous investments in intellectual property such as teX.ai, a powerful NLP-based accelerator for pre and post-processing of LLM data, Gen AI CoP (Communities of Practice) workforce trained on LLM platforms (14+ Gen AI platform expertise), and the development of a suite of Generative AI accelerators (Low code-based GPT store). These tools are specifically designed to enhance workforce productivity, streamline application modernization, and expedite the software engineering process.