What We Build
We develop custom AI agents — autonomous software entities powered by large language models that can reason, plan, use tools, and accomplish complex tasks without constant human oversight. These aren't simple chatbots; they are intelligent systems that understand your business context, make decisions within defined boundaries, and take action across your software ecosystem.
Our agents leverage Retrieval-Augmented Generation (RAG) to ground responses in your proprietary data, function calling to interact with external APIs and databases, and multi-agent orchestration to coordinate complex workflows where multiple specialized agents collaborate to complete tasks. The result is AI that truly works for your business — not just talks about it.
Agent Types
Purpose-built AI agents tailored to your specific business needs
Customer Service Agents
AI agents that handle customer inquiries across chat, email, and tickets. They understand context from past interactions, resolve issues autonomously, escalate intelligently, and maintain your brand voice at every touchpoint.
Data Analysis Agents
Agents that connect to your databases and data sources, run complex queries, identify trends, generate visualizations, and deliver actionable insights in natural language — no SQL or Python required from your team.
Content Generation Agents
Create blog posts, social media content, marketing emails, product descriptions, and reports. These agents learn your brand guidelines, maintain consistent tone, and produce publish-ready content at scale.
Research Agents
Autonomous agents that crawl the web, analyze competitor strategies, monitor industry news, aggregate data from multiple sources, and compile comprehensive research briefs — saving hours of manual work.
Workflow Automation Agents
Orchestrate complex multi-step business processes end-to-end. From data extraction to decision-making to action execution, these agents coordinate across systems to eliminate manual handoffs and bottlenecks.
Code Assistant Agents
AI-powered development assistants that review pull requests, detect bugs, generate documentation, suggest optimizations, and help your engineering team ship faster with fewer errors and higher code quality.
Our Tech Stack
We use industry-leading tools and frameworks to build reliable, scalable AI agents
Development Process
A structured, transparent process from discovery to deployment
Case Studies
Real results from AI agents we have built for our clients
AI Support Agent for E-Commerce
Challenge
A fast-growing online retailer was drowning in 2,000+ daily support tickets across email, chat, and social media. Their 15-person support team had an average resolution time of 4.5 hours, and customer satisfaction scores were declining.
Solution
We built a multi-channel AI support agent powered by GPT-4 with RAG, connected to their Shopify backend, order management system, and knowledge base. The agent handles order status inquiries, returns, product questions, and account issues autonomously.
Results
- 70% reduction in average resolution time
- 62% of tickets resolved without human intervention
- Customer satisfaction score improved from 3.2 to 4.6/5
- Support team reassigned to high-value interactions
Research Agent for Financial Firm
Challenge
A mid-size investment advisory firm needed analysts to manually review hundreds of SEC filings, earnings reports, and market analyses daily. Each research report took 6-8 hours to compile, limiting the number of companies they could cover.
Solution
We developed a multi-agent research system: one agent ingests and indexes documents, another extracts key financial metrics and sentiment, and a third compiles structured analysis reports. All agents share a unified vector knowledge base.
Results
- Processes 1,000+ documents daily (up from 50 manually)
- Research report generation reduced from 8 hours to 15 minutes
- Coverage expanded from 30 to 200+ companies
- Analysts now focus on strategy and client relationships
Frequently Asked Questions
What is custom AI agent development?
Custom AI agent development means building AI software trained on YOUR business data that works autonomously — answering customer queries from your knowledge base, processing documents, qualifying leads, or handling support tickets. Unlike generic chatbots, custom agents use technologies like LLMs, RAG (retrieval-augmented generation), and LangChain to give accurate, on-brand answers.
How much does it cost to build a custom AI agent?
It depends on scope: a knowledge-base chatbot trained on your documents is an affordable few-week build, while multi-step autonomous agents integrated with your systems cost more. Axdox, an AI agent development company in India, offers fixed quotes after a free scoping call — typically 40–60% below equivalent US development rates.
Which technologies does Axdox use for AI agents?
We build with the latest production-grade stack: OpenAI GPT models and Anthropic Claude for reasoning, RAG pipelines with vector databases (like Pinecone) for accurate answers from your data, LangChain for orchestration, and FastAPI/Next.js for deployment. Every agent ships with monitoring and guardrails.
How long does it take to develop an AI agent?
Most custom AI agents launch in 2–6 weeks. A document Q&A or support chatbot is usually live in 2–3 weeks; complex multi-system autonomous agents take 4–6 weeks including testing. You see working demos throughout, not just at the end.
Do you develop AI agents for US and international businesses?
Yes. Axdox is an AI agent development company in Bangalore, India serving startups and enterprises in the USA, UK, and worldwide. Delivery is fully remote with overlap in your time zone, source-code handover, and post-launch support included.