AI Agents Development

Enterprise-Grade AI Agents That Understand Your Business

Build intelligent AI assistants powered by RAG and LangChain that handle customer support, sales qualification, and internal knowledge management with 90%+ reduction in response time.

What We Build

Customer Support Agents

AI-powered support agents that understand context, access your knowledge base via RAG, and resolve 80%+ of customer queries autonomously.

Sales Qualification Bots

Intelligent lead qualification agents that engage prospects, extract key information, and route high-intent leads to your sales team automatically.

Internal Knowledge Assistants

Company-wide AI assistants that instantly answer employee questions by retrieving information from your internal docs, wikis, and databases.

Custom Business Agents

Tailored AI agents for your specific use case - from data analysis to workflow orchestration - built with your business logic.

Our Technology Stack

LangChain & LangGraph

Advanced agent orchestration and complex reasoning flows

OpenAI & Anthropic

GPT-4, GPT-4o, Claude 3.5 Sonnet for powerful language understanding

Vector Databases

Pinecone, Qdrant, ChromaDB for efficient RAG retrieval

LangSmith Observability

Production monitoring, tracing, and evaluation pipelines

Function Calling

Structured outputs and tool use for reliable integrations

Multi-Channel Deployment

Web, Slack, WhatsApp, email integration ready

Proven Results

QUALITY CONTROL

CLACE (Quality Control)

Challenge

Manual processing of quality control reports taking 4+ hours per batch

Solution

Custom RAG agent that extracts data, validates against compliance rules, and generates reports automatically

Impact
90% reduction
in processing time
100% accuracy
in compliance checks
PROFESSIONAL TRAINING

Cursos CST (Education)

Challenge

Student support team overwhelmed with repetitive course and enrollment questions

Solution

Multi-channel AI support agent with RAG access to course catalog, FAQs, and enrollment policies

Impact
92% reduction
in support tickets
24/7 availability
instant responses

Our Development Process

01

Discovery & Use Case Definition

We analyze your workflows, identify high-impact use cases, and define success metrics for your AI agent.

02

Data Preparation & RAG Setup

We structure your knowledge base, create vector embeddings, and build the retrieval pipeline for accurate context.

03

Agent Development & Testing

We build your agent with LangChain, implement function calling, and rigorously test with real-world scenarios.

04

Evaluation & Optimization

We run structured evals, optimize prompts and retrieval, and fine-tune performance to meet your quality standards.

05

Deployment & Monitoring

We deploy to your channels, set up LangSmith observability, and provide ongoing monitoring and improvements.

Ready to Build Your AI Agent?

Let's discuss your use case and design an intelligent agent that transforms your operations.

Schedule a Chemistry Call