Frequently Asked Questions

Vikgol is an AI engineering company based in Bengaluru, India. We build GenAI products, voice AI agents, DevOps infrastructure, and custom software for startups and enterprises across the US, UK, and Europe. Founded in 2018, we have 70+ engineers and 90+ delivered projects.

Our headquarters is in Bengaluru (Bangalore), India — the same city as Infosys, Wipro, and most of India's top tech talent. We work with clients globally on a remote-first basis, with overlap hours for US, UK, and Gulf time zones.

Vikgol has been building enterprise software since 2018. Our team of 70+ engineers includes AI/ML specialists, full-stack developers, DevOps engineers, and UI/UX designers. Average engineer experience is 5+ years. We've delivered 90+ projects across fintech, healthtech, SaaS, and e-commerce.

We build: RAG-based chatbots and knowledge assistants, AI voice agents (sub-300ms latency), Agentic AI systems with multi-step reasoning, LLM fine-tuning and model evaluation, AI-powered dashboards and analytics, and integration of OpenAI / Anthropic / Gemini APIs into your product.

Yes — RAG (Retrieval-Augmented Generation) is one of our core offerings. We design and deploy production-ready RAG pipelines using LangChain, LlamaIndex, Pinecone, Weaviate, or pgvector. We've built RAG systems for legal document search, customer support, internal knowledge bases, and e-commerce product assistants.

RAG connects an LLM to your private data at query time — no training needed, always up-to-date, lower cost. Fine-tuning trains the model on your data to change its behaviour or tone. For most business use cases (Q&A, document search, support bots), RAG is the right choice. Fine-tuning makes sense when you need a specific output style or domain expertise baked into the model.

Agentic AI refers to systems where an AI autonomously plans and executes multi-step tasks — browsing the web, calling APIs, writing code, or taking actions without human intervention at each step. Yes, we build agentic systems using frameworks like LangGraph, AutoGen, and CrewAI, connected to your existing tools and APIs.

Yes. We build real-time voice AI agents with sub-300ms latency for inbound/outbound calls, customer support automation, and appointment scheduling. Our stack includes Deepgram (STT), ElevenLabs or Cartesia (TTS), and OpenAI or Anthropic for reasoning — deployed on Twilio or VAPI.

Staff augmentation means hiring remote engineers who join your team directly — working your hours, using your tools, attending your standups. Unlike outsourcing, you have full control over the work. Vikgol provides pre-vetted senior engineers (AI, full-stack, DevOps) who integrate seamlessly with your existing team.

With staff augmentation, engineers become an extension of your team — you manage them directly, they work in your workflow. With outsourcing, you hand off a project and receive deliverables. Staff augmentation is better when you need ongoing engineering capacity with full visibility. Outsourcing suits fixed-scope projects.

We place: AI/ML engineers, Full-stack engineers (React, Next.js, Node, Python), DevOps / Cloud engineers (AWS, GCP), Mobile developers (React Native, Flutter), QA engineers, and UI/UX designers. All candidates are pre-interviewed and technically vetted by our team before you meet them.

Yes. We help foreign companies set up dedicated engineering teams in India — from hiring and onboarding to legal entity setup and ongoing management. India's GCC market is growing fast: 1,700+ GCCs already operate here. We handle the complexity so you can focus on product.

Book a free 30-minute call with our team. We'll understand your requirements, suggest the right engagement model (fixed-scope project, staff augmentation, or retainer), and share a proposal within 48 hours. No commitment required. Link: calendly.com/harsh-46/30min

Yes — most of our clients are in the US, UK, UAE, and Europe. We work async-first with overlap windows for calls. All contracts, invoices, and communication are in English. We accept payments in USD, GBP, EUR, and INR via wire transfer or Stripe.

Frontend: React, Next.js, TypeScript. Backend: Node.js, Python (FastAPI, Django). Mobile: React Native, Flutter. AI/ML: LangChain, LlamaIndex, OpenAI, Anthropic, Pinecone, pgvector. DevOps: AWS, GCP, Terraform, Docker, Kubernetes, GitHub Actions. Database: PostgreSQL, MongoDB, Redis.

Yes. We offer a free 30-minute consultation for all new inquiries. For qualifying AI projects, we also offer a free Proof of Concept (POC) — a working prototype to validate your idea before you commit to a full build.

Costs vary by scope. A focused AI feature (RAG chatbot, voice agent) typically runs $8,000–$25,000. A full AI-powered SaaS MVP ranges from $25,000–$80,000. Staff augmentation starts at $3,500/month per engineer. We always share a detailed estimate before any work begins — no surprises.

A working RAG chatbot or AI assistant can be live in 3–6 weeks. A full production-grade AI product with auth, billing, and integrations takes 3–5 months. Agentic AI systems with complex workflows take 2–4 months depending on the number of tools and integrations.

Senior engineers through Vikgol typically cost 50–70% less than equivalent hires in the US or UK — without compromising quality. You skip recruiting fees, benefits overhead, and long notice periods. Most placements are active within 1–2 weeks of kickoff.