Deep learning framework for research and production ML models. Hire senior PyTorch engineers and fractional CTOs who ship production-grade code and mentor your team.
Ship production-grade PyTorch applications with proper architecture, testing, and deployment pipelines from day one.
Build scalable APIs and integrations with PyTorch that handle enterprise workloads and third-party systems.
Optimize existing PyTorch codebases for speed, reliability, and maintainability as you scale.
Get expert review of your PyTorch architecture with recommendations for scaling and technical debt reduction.
Add senior PyTorch engineers to your existing team who mentor junior developers while shipping features.
Migrate to PyTorch from legacy systems or modernize existing PyTorch applications.
From fractional CTO leadership to embedded PyTorch engineers, we scale with your needs.
Technical leadership with deep PyTorch expertise. Architecture, team building, and strategic guidance.
Learn more →⚡Senior PyTorch developers who embed in your team and ship production code from week one.
Learn more →🤖Add AI capabilities to your PyTorch application. Copilots, automation, and intelligent features.
Learn more →Fractional CTO from Seed to Series A, scaling ARR from $100K to $5M.
Read case study →Founding engineer from 0→1 to enterprise-scale data platform.
Read case study →Technical due diligence that unlocked acquisition by Gambling.com.
Read case study →“Aravind is in the top 1% of engineers I've hired. He supported us from $100K to $5M ARR, keeping us shipping through crazy growth and investor scrutiny.”
Our engineers have shipped production PyTorch code at scale across healthcare, fintech, SaaS, and other industries. We bring senior-level expertise with years of hands-on PyTorch development experience.
Absolutely. We specialize in joining existing teams and codebases. Our engineers quickly get up to speed on your PyTorch architecture and start contributing value from week one.
Both. Our fractional CTOs provide PyTorch architecture guidance and technical leadership. Our founding engineers embed in your team for hands-on PyTorch development. Many engagements combine both.
Unlike freelancers, our PyTorch engineers embed as founding team members with outcome ownership. They attend your standups, join your Slack, and ship like your first 5 engineers—not hourly contractors.
Yes. We've helped companies migrate legacy systems to PyTorch and also transition away when needed. Our engineers bring experience with gradual migration strategies that minimize risk.
Large language model integration for intelligent application...
Framework for building LLM-powered applications and agents....
End-to-end machine learning platform for production deployme...
Open-source AI/ML model hub and transformers library....
Vector database for semantic search and RAG applications....
Let's discuss your PyTorch engineering needs and how we can help.