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About Zelth
Zelth delivers production-grade AI systems tailored to your specific requirements. From concept to deployment, we build solutions that integrate seamlessly with your existing infrastructure.
Our Mission
Most enterprises know they need AI. Few have the infrastructure to make it work. Zelth exists to close that gap — building intelligent, production-ready systems that solve real operational problems at scale. We don't sell demos. We ship systems that run in production, integrate with your existing stack, and deliver measurable ROI.
How We Work
Every system we build is designed for production from day one — no prototypes disguised as products.
Intelligence is embedded at the foundation, not bolted on as an afterthought.
Built for the compliance and reliability requirements of large-scale organizations.
LLM integration (GPT-4, Claude), RAG systems with vector databases, multi-agent orchestration, and natural language interfaces.
Natural language to SQL conversion with 200+ database connectors, multi-database orchestration, and real-time data synchronization.
OSINT automation platforms, threat intelligence aggregation, and security orchestration tools.
API development, microservices architecture, cloud deployment (AWS, GCP, Azure), and Kubernetes orchestration.
Deep dive into requirements and challenges
Develop comprehensive technical roadmap
Architecture and system design
Build robust and scalable solutions
Deploy, monitor, and optimize
Python · LangChain · LangGraph · OpenAI · Anthropic Claude
FastAPI · PostgreSQL · MongoDB · Redis · Pinecone
React · Next.js
Docker · Kubernetes · AWS
Snowflake · BigQuery · Salesforce · HubSpot · Kafka · Kinesis
We integrate with SQL (PostgreSQL, MySQL, SQL Server, Oracle, MariaDB), NoSQL (MongoDB, DynamoDB, Cassandra, Elasticsearch, Redis), Data Warehouses (Snowflake, BigQuery, Redshift, Databricks), Data Lakes (S3, GCS, Azure Data Lake), APIs (Salesforce, HubSpot, Stripe, Twilio), Streaming (Kafka, Kinesis), and Legacy Systems (SAP HANA, Teradata, Netezza).