A small team building big AI capabilities.
dyta.ai is a focused team of engineers who build AI-powered software. We handle the full stack — from strategy to production — so you get AI as a real capability, not a buzzword.
Dyta reads as "data" — the raw material that AI transforms into capability.
A 4-letter, geography-neutral brand built to serve a global audience. No regional identity limiting our reach — just a sharp name that signals exactly what we do: turn data into intelligent software.
AI-native, not AI-adjacent
We don't bolt AI onto finished products. Every system we build has AI as a core architectural decision — from the data model to the user experience.
Transparent, not black-box
We instrument everything. You see the architecture, the evaluation results, and the decision rationale. Documentation is part of the build, not an afterthought.
Ownership, not dependency
All code, models, prompts, and documentation transfer to you. No vendor lock-in, no proprietary platforms. Your team should be able to maintain and extend everything without us.
Results, not demos
We measure ourselves on production outcomes — adoption, accuracy, time saved. A system that impresses in a meeting but fails in production is a system that failed.
The people behind the builds.
Sajjad Gul
Founder & Principal AI Engineer
Full-stack architect and AI engineer with deep experience building production software. Directs all system architecture, evaluation suites, and client IP handoffs at dyta.ai.
Founder & Lead
Hamid Anjum
Cloud Security & Infrastructure Lead
Network partner focusing on Azure/AWS AI deployment, isolated vector DB namespaces, PII data masking, and SOC2/HIPAA compliance boundaries.
Cloud & Security
Hamza Malik
Senior AI & Agent Specialist
Network partner specializing in LangGraph agentic workflows, multi-tool MCP server development, and LLM evaluation benchmarks for complex automation builds.
Agentic Systems
Muhammad Zeeshan
Full-Stack & UI Systems Engineer
Crafting high-performance interfaces, legacy API retrofits, and low-latency streaming AI user experiences.
Application Stack