Question 1

What is Nxtr?

Accepted Answer

Nxtr is an elite AI development company founded in 2023. We specialise in building production-grade AI software: LLMs, RAG pipelines, AI agents, fine-tuned models, vector database integrations, and full-stack AI applications. We serve founders and enterprise teams across 12+ countries.

Question 2

What AI services does Nxtr offer?

Accepted Answer

Nxtr offers six core AI engineering services: (1) LLM Integration — orchestrating GPT-4o, Claude, Gemini, Llama, and Mistral; (2) RAG System Development — end-to-end retrieval-augmented generation pipelines; (3) AI Agent Development — autonomous agents with tool use and multi-step reasoning; (4) Model Fine-Tuning — LoRA, QLoRA, and full fine-tuning on proprietary datasets; (5) Vector Database Integration — Pinecone, Weaviate, Qdrant, and pgvector; (6) Multimodal AI — systems that understand text, images, audio, and video.

Question 3

How much does AI development cost?

Accepted Answer

AI development costs vary by scope. A production RAG system typically costs between $15,000 and $80,000 depending on data volume and infrastructure complexity. AI agent development ranges from $20,000 to $150,000+ for enterprise-grade autonomous workflows. Model fine-tuning projects start at $10,000. Contact Nxtr at hello@nxtr.co for a scoped estimate.

Question 4

What is the difference between RAG and fine-tuning?

Accepted Answer

RAG (Retrieval-Augmented Generation) grounds an LLM's responses in external knowledge retrieved at inference time — ideal for dynamic, frequently-updated data. Fine-tuning trains the model's weights on your proprietary data — best for teaching consistent style, domain language, or specialised reasoning patterns. Most production systems benefit from both techniques used together.

Question 5

How long does AI development take?

Accepted Answer

A production RAG system can be built and deployed in 4–8 weeks. AI agent development typically takes 6–12 weeks depending on tool integrations and workflow complexity. Fine-tuning a model for a specific domain takes 2–4 weeks. Nxtr kicks off projects within one week of alignment.

Question 6

What AI models and frameworks does Nxtr work with?

Accepted Answer

Nxtr works across the full AI stack: models include GPT-4o, Claude 3.5 Sonnet, Gemini 2.0, Llama 3, Mistral, and Mixtral. Frameworks include LangChain, LangGraph, LlamaIndex, and CrewAI. For vector databases we use Pinecone, Weaviate, Qdrant, and pgvector. Infrastructure is built for AWS, GCP, Azure, and self-hosted deployment.

Question 7

Does Nxtr work with startups?

Accepted Answer

Yes. Nxtr works with early-stage startups, scale-ups, and enterprise teams. We operate as a technical partner — not just a vendor — helping founders move from idea to production AI without hiring a full internal AI team.

Question 8

Where is Nxtr based?

Accepted Answer

Nxtr is fully remote and globally distributed. We have shipped products to clients across 12+ countries including the United States, United Kingdom, UAE, Saudi Arabia, Canada, Australia, Pakistan, India, Germany, and Singapore.

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