Prototype GenAI use cases

We create functional design prototypes of GenAI applications to secure early conviction from internal stakeholders and prospects.

Optimize LLMs with RAG

We optimize your LLM models with Retrieval-Augmented Generation (RAG) to deliver context-aware insights with high precision.

Launch AI Agents

We fast-track commercialization by helping you build and launch secure AI agents that increase efficiency and drive business outcomes.

Fine-tune LLMs

We optimize language models using advanced methods such as SFT, RLHF, DPO, RRHF, and ILQL to deliver peak performance.

Deploy LLMs

We focus on seamlessly integrating open-source and close-source LLM models into your production environment.

Evaluate LLMs

We assess and improve language models through comprehensive testing frameworks to guarantee accuracy and performance.

Secure with DataOps

We fortify your data operations with stringent security measures to safeguard LLM data pipelines.

Leverage vectorization

We use vector databases to improve data indexing and create high-performing knowledge bases.

Generate synthetic data

We produce high-quality synthetic data to augment training datasets and boost model accuracy.