Build GEN AI Solutions Empowering Business

Mastering The Art of GEN AI

Crafting scalable GEN AI systems for production environments is an expertise we've honed to perfection. As pioneers in developing GEN AI applications, our journey has equipped us with invaluable insights into the unique challenges and solutions within this fast-paced domain. Newcomers often find themselves navigating through pitfalls and dead ends, trying to transition from a successful prototype to a fully operational system—this is where our role becomes crucial. We've navigated the steep learning curve so you don't have to, ensuring a smooth path to launching your production-ready system.

Our Approach

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Integration

We seamlessly connect with all your essential data sources and knowledge repositories, including Salesforce, various databases, wikis, and document storage systems.

Vector Storage

We transform the wealth of knowledge within your organization into vector embeddings, making it readily accessible to large language models (LLMs).

Retrieval Augmented Generation

Leveraging cutting-edge RAG methodologies, we ensure that LLMs have access to bespoke knowledge while also mitigating the risk of generating inaccurate information. Our toolkit includes sophisticated retrieval strategies such as query expansion, rephrasing, embedding adapters, cross encoders, and more, to guarantee superior information retrieval.

Prompt Chaining

Recognizing that straightforward prompting often falls short, we utilize advanced techniques like Chain of Thought, Tree of Thought, Self Consistency, Function Calling, and DSPs. Our approach involves the development of adaptable and efficient prompt pipelines.

Operational Efficiency

We provide detailed insights into cost implications and facilitate data collection for both auditing and traceability. Post-deployment, we refine smaller models to optimize your operational expenses.

Reliability and Performance

Our framework is designed to meet any SLA requirements you might have and ensure reliable performance, even in scenarios where critical third-party services are compromised.