AI Development Company — ChatGPT, LLM Apps & Intelligent Automation
Most businesses know they need AI — but are not sure where to start. That is where we come in. Axoryte Infosoft is an AI development company that turns vague "we should use AI" ideas into working products: customer support chatbots, document processors, workflow automations, and custom LLM applications that actually save your team hours every week.
40+
AI Projects Shipped
65%
Avg Support Cost Cut
4.9★
Client Rating
3 Weeks
Chatbot MVP Launch
What We Actually Build
AI is not magic — it is engineering. When a SaaS company came to us drowning in 200+ support tickets a day, we did not pitch them a generic chatbot. We built a GPT-4 powered assistant trained on their docs, integrated it into their help desk, and cut their ticket volume by 65% in the first month. That is the kind of practical AI development we do.
Whether you need ChatGPT integration into an existing product, a standalone AI chatbot development project, or a full LLM application with retrieval-augmented generation (RAG), our team handles architecture, prompt engineering, vector database setup, and production deployment. We work with OpenAI, Anthropic Claude, Google Gemini, and open-source models — picking the right tool for your budget and privacy needs.
Based in India and serving clients across the USA, UK, Canada, Australia, and UAE, we deliver enterprise-grade AI solutions at offshore rates — typically 50–60% less than what a US-based AI agency would charge for the same scope.
Our AI Development Services
From a simple website chatbot to a full AI-powered SaaS feature — here is what our AI development services cover. Every project includes proper error handling, rate limiting, and guardrails so your AI does not go off-script in production.
AI Customer Support Chatbots
Train a chatbot on your FAQs, product docs, and past tickets. It handles routine queries 24/7 and escalates complex issues to your team with full conversation context — no more copy-pasting between tools.
Custom LLM Applications
Production RAG systems that let your team query internal documents, contracts, or knowledge bases in plain English. Built with LangChain, Pinecone, or Weaviate depending on your data volume and latency needs.
AI Workflow Automation
Stop your team from manually sorting emails, extracting data from PDFs, or categorizing support requests. We build AI agents that handle repetitive tasks and only flag exceptions for human review.
ChatGPT & OpenAI API Integration
Add AI features to your existing web app, mobile app, or SaaS platform. Custom system prompts, streaming responses, token budgeting, and fallback logic — all wired into your current tech stack.
Intelligent Document Processing
OCR + NLP pipelines that read invoices, contracts, medical forms, or legal documents and extract structured data automatically. Useful for finance, legal tech, healthcare, and logistics companies.
AI Analytics & Recommendations
Product recommendation engines, sentiment analysis dashboards, churn prediction models, and content personalization — machine learning that drives measurable revenue, not just demos.
Computer Vision Solutions
Image classification, object detection, quality inspection on manufacturing lines, and visual search for e-commerce catalogs. We deploy models on cloud or edge depending on your latency requirements.
Private & On-Premise AI
For regulated industries (healthcare, finance, legal), we deploy models on your private cloud or on-premise servers so sensitive data never leaves your infrastructure. HIPAA and GDPR-aware architecture.
You might also need: Custom Software Development · SaaS Solutions · Web Development.
Our Tech Stack
We are model-agnostic — we pick the right LLM, vector database, and framework for your specific use case, budget, and data privacy requirements.
LLM
OpenAI GPT-4o
Claude 3.5
Framework
LangChain
LlamaIndex
Vector DB
Pinecone
Backend
Python / FastAPI
Node.js
Frontend
React.js
Models
Hugging Face
Cloud AI
AWS Bedrock
+ Additional industry-standard libraries and SDKs integrated based on specific client requirements.
Industries We Serve
We have built AI solutions across industries where accuracy and reliability matter — not just flashy demos.
SaaS & Tech
In-app AI assistants, smart search, automated onboarding flows
Healthcare
HIPAA-compliant patient triage bots, medical record summarization
Legal & Finance
Contract analysis, compliance checking, KYC document processing
E-Commerce
Product recommendations, visual search, AI-powered customer support
EdTech
AI tutors, automated grading, personalized learning paths
Manufacturing
Quality inspection, predictive maintenance, supply chain forecasting
Real Estate
Property description generation, lead qualification chatbots
Customer Service
Multi-channel AI support across web, WhatsApp, and email
Why Clients Choose Axoryte for AI Development
AI projects fail when agencies treat them like regular software. We understand prompt engineering, hallucination guardrails, and production monitoring — because we have shipped 40+ AI products that are live today.
We Actually Listen First
Every project starts with a real conversation — not a sales pitch. We take time to understand your business, your users, and what success looks like for you before writing a single line of code.
One Dedicated Project Manager
You get a single point of contact who knows your project inside out. Weekly Loom updates, sprint demos, and direct Slack access — so you are never left wondering what is happening.
Your Code, Your IP — Always
When we finish, everything is yours. Source code, design files, documentation, API keys — pushed to your Git repo with a full handoff. No lock-in, no hostage situations.
Built for Global Clients
We have shipped projects for companies in New York, London, Sydney, Toronto, and Dubai. Our team works overlapping hours with US, UK, and Australian time zones every single day.
NDA Before We Even Talk
We sign a proper NDA before any project discussion. Your idea, your data, and your competitive advantage stay protected from the very first call.
We Hit Deadlines — 97% of the Time
Milestone-based delivery with clear dates. If we say 10 weeks, we mean 10 weeks. Our clients stay with us for years because we do what we say we will do.
How We Build Process
A structured 6-step process designed for AI projects — where prototyping fast and validating accuracy early prevents expensive rework later.
AI Feasibility & Use Case Workshop
We map your business problem to the right AI approach. Sometimes a simple rules engine works better than an LLM — we will tell you honestly if AI is not the right fit, saving you money upfront.
Data Audit & Architecture Design
We review your existing data (docs, tickets, databases) and design the RAG pipeline, vector store, and API architecture. You approve the technical plan before any development begins.
Prototype & Prompt Engineering
A working prototype in 2–3 weeks so you can test AI responses on real data. We iterate on prompts, retrieval quality, and response formatting until accuracy meets your standards.
Production Development
Full build with proper error handling, rate limiting, logging, admin dashboard, and user-facing UI. Two-week sprints with demo calls so you see progress continuously.
Testing & Accuracy Validation
We test with edge cases, adversarial inputs, and real user scenarios. Target: 90%+ accuracy on your core use cases before go-live. No shipping half-baked AI to production.
Deploy, Monitor & Improve
Production deployment with usage analytics, cost monitoring (token spend), and a feedback loop to improve responses over time. 30-day post-launch support included.
AI Development Pricing
AI project costs depend on complexity, data volume, and model choice. As an AI development company based in India, we typically deliver at 50–60% lower cost than US agencies — with the same production quality.
AI Chatbot MVP
$3,000 – $8,000
- ✓ GPT-4 powered chatbot
- ✓ Trained on your docs/FAQs
- ✓ Web widget or API
- ✓ Basic analytics dashboard
- ✓ 30-day support & tuning
Custom LLM Application
$10,000 – $40,000
- ✓ Full RAG architecture
- ✓ Vector database setup
- ✓ Custom admin panel
- ✓ Multi-source data ingestion
- ✓ 3-month support included
Enterprise AI Platform
Custom Quote
- ✓ Multi-model orchestration
- ✓ Fine-tuning on your data
- ✓ On-premise / private cloud
- ✓ Dedicated AI engineering team
- ✓ SLA & compliance support
Real Projects, Real Results
These are real outcomes from AI projects we shipped — not hypothetical case studies.
65%
Fewer Support Tickets
B2B SaaS — San Francisco, USA
Built a GPT-4 support chatbot trained on 800+ help articles. Ticket volume dropped 65% in month one. Average first-response time went from 4 hours to under 30 seconds.
10K+
Docs Processed Monthly
Legal Tech Startup — London, UK
LLM-powered contract review tool processes 10,000+ documents monthly. Lawyers now review flagged clauses only — cutting review time from 2 hours per contract to 15 minutes.
+28%
Higher Order Value
E-Commerce Brand — Melbourne, Australia
AI recommendation engine on their Shopify Plus store increased average order value by 28% within 90 days. Personalized "You might also like" based on browsing behavior.
Frequently Asked Questions
Straight answers to the questions we hear most from businesses exploring AI development services for the first time.
How much does AI development cost in 2026?
A simple AI chatbot MVP starts around $3,000–$8,000 and can be live in 3 weeks. Custom LLM applications with RAG architecture typically run $10,000–$40,000 depending on data complexity and integrations. Enterprise AI with fine-tuning and on-premise deployment is quoted per project. We always provide a detailed scope document before you commit.
Can you add AI to our existing web app or SaaS product?
Yes — this is actually our most common request. We integrate OpenAI, Claude, or custom models into existing React, Next.js, Node.js, or Python applications via API. Your users get AI features without rebuilding your entire product from scratch.
Is our company data safe when using AI APIs?
We take this seriously. For sensitive data, we use enterprise API tiers with zero data retention, deploy on your private cloud, or run open-source models on-premise. Every project starts with an NDA, and we follow GDPR, HIPAA, and SOC 2 practices where applicable.
ChatGPT vs custom LLM — which should we use?
For most business use cases, GPT-4o or Claude 3.5 via API is the fastest and most cost-effective path. Custom fine-tuning makes sense when you have large proprietary datasets and need domain-specific accuracy (medical, legal, financial). We assess your data and recommend the right approach — no upselling.
How long does it take to build an AI chatbot?
A production-ready AI chatbot MVP takes 2–4 weeks. This includes training on your knowledge base, building the chat widget, integrating with your website or help desk, and testing accuracy. More complex LLM applications with multiple data sources take 6–12 weeks.
Do you provide ongoing AI maintenance and improvement?
Yes. AI models and prompts need tuning as your product evolves. We offer monthly retainers starting from $500/month covering prompt updates, accuracy monitoring, model upgrades, and new feature additions as OpenAI and other providers release new capabilities.
What industries do you build AI solutions for?
We have shipped AI products for SaaS, healthcare (HIPAA-aware), legal tech, e-commerce, EdTech, customer service, manufacturing, and real estate. Each industry has different compliance and accuracy requirements — we account for that in architecture from day one.
Still have questions? Talk to our team directly — we typically respond within 24 hours.
Have an AI Idea? Let's Make It Real.
Book a free 30-minute AI strategy call. We will honestly tell you if AI is the right fit, what it would cost, and how long it would take — no sales pressure.