Data Layer Setup
PostgreSQL databases, vector stores, and data pipelines optimized for AI applications.
What's Included
Everything you need for a robust data foundation.
PostgreSQL Setup
Production-grade PostgreSQL databases optimized for AI applications with proper indexing and query optimization.
Vector Databases
Pinecone, Weaviate, or Qdrant setup for semantic search and RAG applications with embedding pipelines.
Data Migration
Seamless migration from existing databases with zero data loss and minimal downtime.
Backup Strategy
Comprehensive backup and disaster recovery with point-in-time recovery and geo-redundancy.
Database Options
PostgreSQL
Relational & vectors
Pinecone
Vector search
Weaviate
AI-native database
Qdrant
High-performance vectors
Redis
Caching layer
MongoDB
Document storage
How We Build
Data Modeling
Design optimal schema for your AI application's data requirements.
Database Setup
Provision and configure databases with security best practices.
Migration Execution
Execute data migration with validation and rollback capabilities.
Optimization & Docs
Optimize performance and deliver comprehensive documentation.
Why Our Data Layer
Sub-millisecond Queries
Optimized queries and proper indexing for lightning-fast responses
Enterprise Security
Encryption at rest, in transit, and role-based access control
99.99% Durability
Multiple backup strategies ensure your data is never lost
Scalable Architecture
Designed to grow from thousands to billions of records
Real Results
MedSearch AI
Challenge
Healthcare startup needed a data layer supporting both structured patient data and semantic search across 10M+ medical documents.
Solution
Designed a hybrid architecture with PostgreSQL for structured data and Pinecone for vector search, with HIPAA-compliant security measures.
Results
What You Receive
Data Layer Setup
Agreed after a meeting2-3 week delivery
Industries We Serve
Enterprise
E-commerce
FinTech
HealthTech
Manufacturing
EdTech