We build products, train teams, and advise leaders on AI-native software delivery.
AI in software engineering cannot remain a collection of disconnected tools. To make AI useful, teams need clearer requirements, better specifications, governed workflows, architecture discipline, and visibility across the delivery lifecycle. That is where InfoMover focuses: building Projekts.ai, training engineering teams, and helping leaders adopt AI-assisted software delivery in a practical, structured way.
Projekts.ai is where our AI-native software delivery vision becomes a product.
AI coding assistants are useful, but serious software delivery starts before code and continues long after code is generated. Teams still need discovery, requirements, PRDs, architecture, UX direction, epics, stories, acceptance criteria, review context, governance, and delivery visibility.
Projekts.ai is being built to bring those artifacts and workflows into one AI-native software engineering platform, helping teams move from scattered prompting to specification-driven delivery.
Training that teaches the discipline behind AI-native delivery.
Our training programs are live, hands-on, and rooted in working systems. They help teams adopt the same practices that Projekts.ai brings into a platform: specification- driven development, AI-assisted planning, architecture discipline, governed execution, and production-grade AI thinking.
2 days
Specification-Driven Development
Ship reliable software with AI agents, not vibes. Teams learn context setup, spec drafting, approval gates, task decomposition, AI-agent execution loops, and contract verification.
5 days
Become an AI Developer
A practical track across AI application engineering, machine learning, deep learning, and MLOps. Participants build, evaluate, deploy, and operate AI systems.
3 days
Build a Language Model From Scratch
A technical intensive covering language model fundamentals, fine-tuning, RAG, frontier models, private AI choices, and production deployment trade-offs.
Consulting for practical AI adoption.
We help technology leaders move from scattered AI experiments to structured adoption. Our consulting work covers AI-assisted SDLC transformation, specification-driven development, AI governance, RAG and agent architecture, production readiness, and Projekts.ai pilot planning.
