Deploy AI Agents That Think,
Decide, and Act on Their Own
We build custom AI agents on top of models like Claude, GPT-4, or Gemini. They handle customer queries, retrieve knowledge, summarize data, and run multi-step tasks, live 24/7 and wired into the systems you already use.
Types of AI Agents We Build
Every agent is built for your specific use case, trained on your data, and integrated with your tools. It's not a template chatbot with your logo slapped on.
Customer Service Agent
Handles tier-1 support tickets, FAQs, order inquiries, and escalation routing, trained on your product knowledge and internal policies.
Internal Knowledge Agent
Gives employees instant access to company policies, procedures, and documentation just by asking in plain language. Every answer cites where it came from.
Data Analysis Agent
Ask questions about your data in plain English. The agent queries databases, runs calculations, and returns formatted summaries and insights without requiring SQL expertise.
Process Orchestration Agent
Multi-step agents that plan and execute complex tasks. They call APIs, make decisions based on what comes back, and finish workflows that used to need a person coordinating each step.
Content Generation Agent
Generates content in your brand's voice (product descriptions, reports, proposals, summaries) from structured data or plain-language prompts.
Compliance Review Agent
Reviews contracts, policies, and documents against your compliance rules. It flags issues, suggests corrections, and keeps an audit log of every pass.
Our Technical Approach
We use Retrieval-Augmented Generation (RAG) and fine-tuning so the model answers from your data, not from whatever it remembers from general training.
RAG Architecture
Your documents, databases, and knowledge bases get indexed as vector embeddings. Before answering, the agent pulls the most relevant context and builds the response on those facts, not a guess.
Model Selection
We select the right LLM (Claude, GPT-4, Gemini, or open-source models) based on your latency, cost, privacy, and accuracy requirements. No vendor lock-in.
Human-in-the-Loop
For sensitive decisions, we build escalation paths that send edge cases to a human reviewer. Control stays where it matters, and we automate the rest.