Pipeshift

Pipeshift provides a high-performance AI inference platform that delivers production infrastructure, tooling, and expertise for deploying open-source, custom, and fine-tuned AI models at massive scale. The platform is powered by MAGIC (Modular Architecture for GPU Inference Clusters), a proprietary framework that compiles workload-specific inference pipelines to deliver customized performance SLAs. MAGIC controls every layer of inference from model to silicon, including KV caching, custom kernels, speculative engines, model parallelism, quantization, model backends, inference frameworks, and GPU orchestration. Pipeshift offers single-tenant dedicated deployments with 99.99% uptime, 10+ deployment regions, ultra-low latency, blazing fast cold-starts, and auto-scaling with scale-to-zero capabilities. The platform addresses key inference challenges including unreliable shared API endpoints, privacy concerns with shared APIs, peak-hour latency spikes, and uncontrolled cost creep at scale. Pipeshift supports real-time AI agent workloads including voice agents, agentic coding, document parsing, audio transcription, and chat support, with the ability to scale compound AI (STT + LLM + TTS) on the same pod to shave milliseconds of latency. The platform includes enterprise-grade security with SOC2 compliance, end-to-end data encryption, RBAC, observability tools, and Forward Deployed Engineers for hands-on support. Founded in 2023 and headquartered in San Francisco with operations in India, Pipeshift has raised $3.2M in seed funding from investors including 100X.VC, Y Combinator, SenseAI, Arka Venture Labs, Good News Ventures, Nivesha Ventures, Astir Ventures, gradCapital, MyAsiaVC, and Shavdia Ventures.

AI Infrastructure > Enabling Technologies > Software > ML Orchestration

Serial Founder