AI Development Foundations
MLOps and pipeline automation, model registry and experiment tracking, collaborative notebooks, and visualization dashboards.
DATA SKY NET LLC / BUILDING THE FUTURE OF AI
Deep engineering. Forward thinking.
Data Sky Net LLC is a U.S.-based technology company focused on the engineering challenges behind modern AI, secure infrastructure, and increasingly autonomous software systems.
OUR ENGINEERING PHILOSOPHY
Autonomy requires trust.
Trust requires engineering.
We believe the next generation of intelligent technology must be built on strong technical foundations: clear trust boundaries, resilient infrastructure, operational visibility, and security-conscious design.
Our original vision spans scalable AI infrastructure, automated model optimization, and collaborative AI research environments. Our focus includes distributed AI systems, neural architecture search, data-centric AI, explainability, autonomous agents, and foundation models.
Company
DATA SKY NET LLC
Published leadership
Mikhail Koren
Founder & Chief Technologist
Published business address
75 E 3rd St Ste 7Sheridan, WY 82801
FOUNDATIONS FOR GENERALIZABLE INTELLIGENCE
From development to deployment.
Intelligent Infrastructure
GPU/TPU-aware training schedulers and lifecycle management from data ingestion to model deployment across heterogeneous hardware.
Responsible AI
Fairness, accountability, privacy, and explainable decision-making belong in the engineering process. OECD AI principles provide technical and ethical context, not a certification claim.
Cross-Domain Engineering Interests
Healthcare AI, finance and FinTech, cybersecurity, autonomous systems, enterprise automation, and creative technologies remain part of our broader AI vision.
WHO WE AIM TO WORK WITH
Built for teams engineering the next generation.
01 / TARGET AUDIENCE
AI-first startups
02 / TARGET AUDIENCE
Enterprise AI teams
03 / TARGET AUDIENCE
Security engineering organizations
04 / TARGET AUDIENCE
DevOps and platform teams
05 / TARGET AUDIENCE
Cloud infrastructure providers
06 / TARGET AUDIENCE
Software development companies
07 / TARGET AUDIENCE
Research and engineering organizations
08 / TARGET AUDIENCE
Businesses deploying private AI
These are intended customer segments, not claims of existing customer engagements.
OUR ENGINEERING APPROACH
From architecture to operational confidence.
Discover
Understand requirements, assets, existing infrastructure, business constraints, and risks.
YOUR NEXT CHAPTER
Let’s engineer what’s next.
Complex challenges. Clear architecture. A conversation is a good place to start.