Question 1

What exactly does aistudio.co.in do?

Accepted Answer

We are a specialized AI engineering lab focused on integrating large language models (LLMs), computer vision, and autonomous agents into enterprise architectures. We don't just build prototypes; we engineer production-ready AI systems that drive measurable operational efficiency and generate novel capabilities for our clients.

Question 2

Are you a product company or a service agency?

Accepted Answer

We are an AI-native product studio and high-end engineering laboratory. While we maintain a library of proprietary frameworks and accelerators to speed up deployment (like Convcom, AI Sales Agent, and autonomous voice pipelines), our core offering is bespoke architecture and implementation tailored to the specific data gravity and regulatory constraints of your enterprise.

Question 3

How is aistudio.co.in different from traditional IT consultancies like Infosys or Accenture?

Accepted Answer

While traditional consultancies focus on staff augmentation and lengthy discovery phases, aistudio.co.in operates as an AI-first product studio. We ship working software fast: prototypes in 24-48 hours, production systems in 2-8 weeks. You get senior engineering talent working directly on your project.

Question 4

Do you build custom LLMs from scratch?

Accepted Answer

Generally, no. Training foundation models from scratch is rarely cost-effective for most enterprises. Our approach relies on fine-tuning existing open-source models (like Llama 3 or Mistral) or utilizing commercial APIs (like GPT-4 or Claude 3) combined with advanced Retrieval-Augmented Generation (RAG) pipelines and custom SLMs (like SLM360) to achieve domain-specific expertise.

Question 5

How do you handle data privacy and security?

Accepted Answer

Security is foundational. For sensitive deployments, we architect air-gapped solutions utilizing local models deployed within your Virtual Private Cloud (VPC) or on-premise hardware. We do not use your proprietary data to train external models without explicit consent, and we implement strict Role-Based Access Control (RBAC) across all AI inference endpoints.

Question 6

What industries do you specialize in?

Accepted Answer

We work across multiple sectors including defense, fintech, healthcare, manufacturing & EPC, real estate, logistics, edtech, and SaaS. Our solutions are industry-agnostic but deeply customized to domain workflows.

Question 7

What is your typical project timeline?

Accepted Answer

We move fast. For AI agents and automations: 1-2 weeks. For web applications and MVPs: 4-6 weeks. For complex enterprise systems: 8-12 weeks. We ship working prototypes within 24-48 hours of kickoff so you can validate direction early.

Question 8

What is your engagement model and pricing structure?

Accepted Answer

Our engagements typically start at $10,000 (approx. ₹1 lakh) for focused AI agents and automations. Mid-complexity applications range from $25,000 to $75,000, while enterprise platforms scale based on scope. We provide transparent fixed pricing upfront.

Question 9

Do you sign NDAs and offer ongoing support?

Accepted Answer

Yes. We sign strict NDAs before technical discussions. After deployment, we offer flexible support packages including prompt tuning, model upgrades, performance monitoring, and 24/7 incident response.

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