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Headquarters
We are a globally distributed team headquartered in India.
Indore, IndiaFrequently Asked Questions
Everything you need to know about our enterprise AI engineering workflows, security guarantees, and collaboration models.
What happens during the initial Discovery Call?
During our 60-minute strategy session, our AI engineering leadership meets with your technical and executive stakeholders. We analyze your existing data systems, identify high-value workflow bottlenecks, evaluate feasibility, and sketch an initial technical architecture tailored to your goals. You walk away with a clear roadmap whether we work together or not.
How do you ensure data privacy, security, and IP protection?
We treat enterprise security as a first-class citizen. Before diving into proprietary codebase or dataset reviews, we execute standard mutual Non-Disclosure Agreements (NDAs). All custom RAG pipelines, autonomous agents, and fine-tuned models are built within your dedicated cloud infrastructure (AWS, Azure, or GCP), ensuring your proprietary data never leaves your VPC or trains public models.
What is your typical project timeline and engagement model?
We offer flexible, results-oriented engagement tiers ranging from dedicated AI engineering squads to end-to-end custom system builds. Most initial Minimum Viable Production (MVP) architectures are designed, tested, and deployed within 6 to 8 weeks, followed by continuous monitoring, optimization, and scaling phases across your enterprise.
Do you integrate with our existing enterprise software stack?
Absolutely. Our engineering team specializes in connecting modern AI layers (LangGraph, PyTorch, FastAPI, Milvus, Weaviate) directly into legacy enterprise systems, CRMs, SQL/NoSQL databases, and internal APIs. We ensure seamless authentication, robust error handling, and low-latency response times across all integrations.