PATHSDATA
Case Study · POC · Generative AI

Fatevision LLC

Gen AI-Powered Astrology Platform

How PATHSDATA delivered a proof-of-concept in just 4 weeks — building an intelligent astrology backend that generates personalized horoscopes and birth chart readings using Amazon Bedrock and RAG.

4 Weeks

POC Delivery

Gen AI

Amazon Bedrock

< 2s

Response Time

Production

Ready Architecture

About Fatevision LLC

Fatevision LLC is an innovative astrology technology startup aiming to democratize access to personalized astrological guidance. Their vision was to create a platform where anyone could receive accurate, insightful, and deeply personalized astrology readings instantly — something that traditionally required expensive consultations with professional astrologers.

Fatevision partnered with PATHSDATA to validate their Gen AI concept. In just 4 weeks, we delivered a working proof-of-concept that demonstrated the feasibility of AI-powered astrology readings at scale.

The Challenge

Scalability Limitations

Manual astrology readings couldn't scale beyond a few hundred users per day, limiting business growth.

Consistency & Quality

Human-generated readings varied in quality and tone, creating inconsistent user experiences.

Real-Time Personalization

Needed instant, personalized readings based on exact birth time, location, and planetary positions.

Cost Per Reading

High cost of human astrologers made the freemium model unsustainable at scale.

Our Solution

Amazon Bedrock Integration

Leveraged Claude on Amazon Bedrock for nuanced, context-aware astrological interpretations with consistent quality.

RAG-Powered Knowledge Base

Built a comprehensive astrology knowledge base with Vedic, Western, and Chinese astrology traditions for accurate readings.

Real-Time Ephemeris Engine

Integrated Swiss Ephemeris for precise planetary position calculations at any given moment.

Serverless Architecture

AWS Lambda + API Gateway for auto-scaling infrastructure that handles traffic spikes during astrological events.

Architecture Overview

How It Works

  1. 1

    User Input

    Birth date, time, location, and reading type requested

  2. 2

    Ephemeris Calculation

    Swiss Ephemeris computes exact planetary positions

  3. 3

    RAG Retrieval

    Fetches relevant interpretations from astrology knowledge base

  4. 4

    AI Generation

    Claude synthesizes personalized reading with astrological context

  5. 5

    Caching & Delivery

    Response cached for quick retrieval, delivered via API

Key Technical Decisions

  • Claude 3.5 Sonnet for nuanced, empathetic interpretations
  • Vector embeddings for semantic search across 10,000+ interpretations
  • Redis caching for sub-second response on repeated queries
  • Prompt versioning for A/B testing reading styles
  • Guardrails to ensure responsible, non-deterministic language

Features Delivered

Personalized daily, weekly, and monthly horoscopes
Detailed birth chart (natal chart) analysis
Compatibility readings for relationships
Transit and progression forecasts
Vedic astrology (Jyotish) interpretations
Chinese zodiac integration
Moon phase and eclipse predictions
Career and financial guidance readings
Personalized gemstone recommendations
Lucky dates and timing suggestions

Technology Stack

AI/ML

  • Amazon Bedrock
  • Claude 3.5 Sonnet
  • RAG Pipeline
  • Prompt Engineering

Backend

  • Python
  • FastAPI
  • AWS Lambda
  • API Gateway

Data

  • Swiss Ephemeris
  • PostgreSQL
  • Redis Cache
  • S3

Infrastructure

  • AWS CDK
  • CloudWatch
  • Secrets Manager
  • WAF

Project Timeline

Week 1

Discovery & Eligibility

Astrology domain deep-dive, use case validation, POC scope definition

Week 1-2

Architecture & Design

API design, prompt engineering strategy, RAG architecture planning

Week 2-3

Core Development

Ephemeris integration, Bedrock setup, RAG pipeline implementation

Week 4

Testing & Demo

Accuracy validation, performance testing, stakeholder demo

Total POC Duration: 4 weeks from kickoff to working demo

POC Results & Validation

Business Validation

  • Proved AI can match human astrologer quality
  • Validated 95% cost reduction potential at scale
  • Confirmed freemium model feasibility
  • Secured investor confidence with working demo

Technical Validation

  • Response time under 2 seconds
  • Production-ready architecture documented
  • RAG accuracy validated by professional astrologers
  • Clear scaling roadmap for production

"PATHSDATA delivered exactly what we needed. In just 4 weeks, they proved that our vision was technically feasible. The working demo helped us secure our next funding round and gave us confidence to move forward with production development."

— Founder, Fatevision LLC

Ready to Build Your Gen AI Solution?

Whether it's astrology, healthcare, finance, or any domain — we can help you leverage Generative AI to create intelligent, scalable solutions that delight your users.