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Run AI pipelines 10x faster
Texel is a platform that enables developers to generate hardware-accelerated APIs for running AI pipelines 10 times faster, including image and video applications. For example, developers can use the latest NVIDIA GPUs or Google TPUs without having to become hardware experts themselves.
Texel.ai provides an AI-powered media creation platform that enables building and editing images, videos, and audio with developer-friendly APIs. It emphasizes fast, scalable AI processing and customizable pipelines for media workloads. The site highlights hardware-backed performance and cost-efficient optimization to speed up production.
Texel.ai offers a platform to generate and edit images, videos, and audio in one place using easy-to-use APIs for developers. It enables building custom pipelines by adding required steps, with infrastructure, model, and data-flow optimizations to maximize speed and minimize costs. The system emphasizes hardware-backed decoding/encoding, scalable AI processing, and a focus on keeping data on local hardware while reducing transfer costs.
Who it’s for: Developers and teams building AI-powered media workflows who need fast, scalable image/video/audio generation and editing via APIs; organizations seeking customizable pipelines and hardware-optimized processing for media workloads.
mentions of scalable processing, customer testimonials, and readiness to start with API access indicate active traction and product-market fit; no explicit funding or hiring data provided
Rahul is co-founder and CEO of Texel.ai. He worked on Bitmoji at Snapchat for almost 8 years after completing a Computer Science PhD at Stanford in character animation and physics simulation. He is interested in scalable systems for computer graphics and artificial intelligence.
Eli is the Co-founder and CTO of Texel.ai. He worked at Snapchat for the last 5 years, building one of the worlds largest graphics GPU deployments. At Texel.ai he's solving the next big problems in Generative AI enabling new and exciting large scale applications.
Helping businesses make their GPU-based AI infrastructure 10x more efficient
Texel provides APIs and tooling to optimize end-to-end GPU-based AI workflows, from input to output, including media encoding/decoding and model inference, with options to host or run on-premise. It targets teams running media-heavy AI inference to reduce GPU usage and cost while enabling real-time editing and processing.
From the original launch (Mar 2023) — may be outdated.
Formerly “Aimoji” · why startups rename →
Infrastructure for AI labs to focus on research.
AI-Native Cloud Platform
