Generative AI
Build production-ready AI solutions with Amazon Bedrock
RAG systems, AI agents, and custom LLM applications that deliver real business value — not just demos.
Challenges We Solve
Moving from ChatGPT experiments to production AI is hard. We make it easy.
LLM Hallucinations
Generic AI models give inaccurate answers because they lack your company's specific knowledge and context.
Data Security
Worried about sending sensitive data to third-party AI services and losing control of your information.
Integration Complexity
Struggling to connect AI capabilities with your existing systems, databases, and workflows.
Cost at Scale
Token costs explode as usage grows, making AI initiatives unsustainable without optimization.
What We Build
Enterprise-grade Gen AI solutions powered by Amazon Bedrock.
RAG Systems (Retrieval Augmented Generation)
Ground LLM responses in your company's actual data. Connect to documents, databases, and knowledge bases for accurate, cited answers.
AI Agents & Automation
Build autonomous AI agents that can reason, plan, and take actions. Automate complex workflows with multi-step reasoning.
Enterprise Chatbots & Assistants
Deploy intelligent chatbots for customer support, internal help desks, and domain-specific Q&A with proper guardrails.
Custom LLM Applications
Build bespoke AI applications tailored to your business — from document processing to code generation to creative tools.
Why Choose PATHSDATA
Grounded Responses
RAG ensures AI answers are based on your actual data, not hallucinations.
Enterprise Security
Your data stays in your AWS account. No third-party API calls with sensitive info.
Production Ready
We build for scale — proper error handling, monitoring, and cost controls.
Domain Expertise
AI that understands your industry terminology and business context.
Popular Use Cases
Customer Support Automation
AI chatbot that resolves 70%+ of support tickets by searching your knowledge base and previous resolutions.
Document Intelligence
Extract insights from contracts, reports, and emails. Summarize, compare, and answer questions about documents.
Code Assistant
Internal copilot trained on your codebase, documentation, and coding standards for faster development.
Sales Intelligence
AI that analyzes calls, emails, and CRM data to surface insights and automate follow-ups.
Technology Stack
Foundation Models
- Claude 3.5
- Llama 3
- Titan
- Cohere
Vector DB
- OpenSearch
- Pinecone
- pgvector
- Chroma
Orchestration
- Bedrock Agents
- LangChain
- MCP
AWS Services
- Bedrock
- Kendra
- SageMaker
- Lambda
Our Process
Use Case Discovery
Identify high-impact Gen AI opportunities. Define success metrics and ROI expectations.
Data & Architecture
Design RAG architecture, knowledge base structure, and integration points with your systems.
Build & Iterate
Develop, test, and refine with real users. Prompt engineering and guardrails optimization.
Deploy & Monitor
Production deployment with proper observability, cost tracking, and continuous improvement.
Fatevision LLC — Gen AI Astrology Platform
POC delivered in 4 weeks using Amazon Bedrock and RAG for personalized readings.
Ready to Build Your Gen AI Solution?
Let's discuss how Generative AI can transform your business. Start with a free AWS-funded POC.
