We are the
team behind Devanshu
We're ML engineers who got tired of managing inference infrastructure. Devanshu is the platform we wish we had—so we built it for teams who ship AI at scale.
Julian Pierce
CHIEF ML ENGINEEREx-Google ML. Julian leads our inference platform and GPU orchestration. 10 years in large-scale ML systems.
Elena Rossi
HEAD OF PRODUCTElena shapes the Devanshu product experience. Previously led ML platform at Stripe. Obsessed with developer UX.
Marcus Chen
INFRASTRUCTURE LEADEx-AWS. Marcus runs our global GPU fleet and edge network. Delivers sub-50ms inference at 99.99% uptime.
Our Capabilities
GPU-powered inference across 12 regions. Sub-50ms latency, auto-scaling, enterprise security. Built for ML teams who ship.
Edge Rendering
Components delivered via 150+ global POPs for zero-latency loading on any device.
State Management
Real-time collaborative state sync built into the visual layer with zero config.
Quantum Security
Next-gen encryption protecting every user interaction and data pipeline.
Engineering Milestones
From the first line of code in 2024 to the autonomous SaaS environments of 2035, our roadmap is a testament to architectural evolution.
Our Foundation
Launch of the Core V8 rendering engine for SaaS platforms, achieving a 40% reduction in browser-side memory overhead.
Edge-Native SaaS Mesh
Deploying distributed UI state synchronization, allowing multi-user collaboration with sub-5ms global latency.
Predictive UI Synthesis
Interfaces that self-assemble based on user intent. AI layer generates custom views in real-time.
Global Telemetrics
Monitoring the heartbeat of 5,000+ SaaS instances powered by our architecture across every continent in real-time.
Uptime Reliability
Global Edge PoPs
Daily Data Packets