GenAI Strategy

Tailored AI roadmaps aligned with your business goals to set the foundation for successful AI deployment.

Data Engineering

Secure, efficient data pipelines that handle data collection, transformation, and storage for AI readiness.We ensure your data is clean, contextualized, and available for AI applications like RAG and real-time analytics.

Dataset Generation

Generate specialized datasets for training and evaluating models, including fine-tuning, RLHF, DPO, and domain-specific benchmarks. Our approach combines LLM and HITL to create high-quality datasets that optimize AI performance.

Model Development

Custom large language models (LLMs) that are fine-tuned and optimized for your use case, with the option for synthetic data generation to enhance model performance.

Evaluation

Rigorous model testing and evaluation processes that ensure performance, governance, security, and compliance for enterprise AI.

Deployment

Scalable, Kubernetes-based AI deployments built for enterprises to ensure continuous performance and adaptability.

Applications

Prebuilt and custom AI-driven applications, such as zChat or custom agents, that seamlessly integrate with your existing systems.

Continuous Support

Ongoing management and support for your AI systems, including periodic evaluations, model updates, and custom feature development.