Team
Engineering Team
The Engineering team at Datics AI does the work that lets AI run inside a live product: connectors and MCP servers, integrations with existing APIs, data pipelines, cloud setup, and the permission, logging and deletion changes production needs.
The team works inside clients' own code and cloud accounts, so its articles start from what an established codebase already has and what it takes to change it safely. Each article is reviewed by Rana Umar Majeed, co-founder and CTO of Datics AI.
Engineering Team
Datics AI
MCP servers · API integration · Data engineering · Cloud architecture · SaaS security
Articles by Engineering Team
AI security and compliance
Soft delete vs hard delete in SaaS: AI, GDPR and audits
Soft delete vs hard delete: a clear comparison, SQL patterns, GDPR erasure, and how deletion reaches embeddings, search indexes and AI logs.
Read the articleClaude and ChatGPT connectors
Build an MCP server for your product: a production guide
Build an MCP server as a thin remote service over your API: a few tools from real questions, Streamable HTTP, OAuth per user, limits, logs and real tests.
Read the articleYour customers already expect AI from your product.
Let us make it real inside the product you run today.