Core Technologies & Frameworks

Frequently Asked Questions

• How do you ensure enterprise data privacy when deploying LLMs?

  We deploy models within your private cloud (VPC) or on-premise infrastructure. Your proprietary data is never used to train public models, and all data transmissions are encrypted at rest and in transit adhering to strict data security protocols.

• What is the difference between standard AI and Agentic AI?

  While standard AI answers queries or makes simple predictions, Agentic AI systems autonomously plan multi-step workflows, interact with external APIs/databases, self-correct errors, and execute complex enterprise tasks without constant human intervention.

• How long does it take to train and deploy a custom AI model?

  A typical Proof-of-Concept (PoC) or RAG pipeline takes 2–4 weeks. Custom model fine-tuning and production deployment with MLOps pipelines generally take 6–12 weeks depending on data availability and complexity.

• Can AI be integrated with our existing mobile and web applications?

  Yes, we build low-latency REST and gRPC API microservices that seamlessly connect AI inference engines to your existing mobile apps, websites, CRMs, and backend databases.