Optimized Global AI Inference Platform
In the rapidly evolving AI landscape, our startup, Pipelet.ai, serves as an efficient and reliable platform for new models and AI workflows. We provide a seamless infrastructure that integrates GPU rental and ensures their optimal and cooperative functionality. Our service eliminates the complex task of managing infrastructure, empowering developers to focus on their core role: building and scaling their innovations.
Make AI as easy to consume as tap water. We'll be the utility that provides the right amounts where needed and supply the world with an abundance of it.
Application and Model developers. Startups and companies that want to iterate fast and avoid building a team to manage GPU infrastructure.
speed up product iteration, scaling, and distribution. Help address compliance across jurisdictions. Lower costs and protect reputation by avoiding outages, bad service quality, and data breaches.
There are lots of promising AI products and companies, but their growth is limited and cashflow negative due to relying on single closed providers like OpenAI.
Our solution is an AI platform that offers seamless product development, improved scale and distribution capabilities, and ensures compliance across jurisdictions while keeping costs low. It negates the need for a dedicated team to manage the GPU infrastructure by preventing outages, providing optimal service
Cloudflare, Kubernetes, vLLM, SGLang, multiple GPU providers
You upload model weights, choose your preferences like jurisdiction, and we configure an accessible API promptly while managing day-to-day operations.
We streamline AI development, enabling rapid implementation & scaling while reducing infrastructural complexities and costs for developers.
We estimate the market size for which our solution is designed in monetary terms as follows
Is our goal in the next 3 years
As the technical CEO, my primary role is to steer our startup's vision while being directly responsible for overseeing all technical aspects and technological resources.
Our team presently consists of two key members including our CTO, Xiaoman Dong. We have developed a working prototype and are currently aligning it for production with aggregators like OpenRouter.
Several competitors exist, including Runpod and Modal who offer serverless containers but are unreliable and costly. GPU clouds provide services with varying quality while tying customers to a single provider. Fireworks and Together focus on enterprise solutions neglecting startups, whereas Hyperscaler is expensive with rigid commitments.
Our product excels in user-friendliness and addresses growth challenges with auto-scaling and capacity management. By supporting multiple GPU clouds, we offer selection, reliability, and value. With a low latency routing layer for scalability, DDoS protection is ensured along with customer account billing handled by us.
Pre-revenue, we're launching our service on OpenRouter. Self-serve onboarding for customer models to follow shortly.
We started from an idea, progressed to deep market research, validated the hypothesis by building a basic solution - our MVP. After iterative testing and refining with real users, we reached a reliable product that effectively solves customers' pressing problems.
Our startup has achieved a significant milestone, amassing 2 million ARR. We've successfully secured five major accounts, each yielding in excess of $100k annually, demonstrating robust growth potential.
We're currently at the pre-revenue stage, launching our General Availability (GA). We track metrics such as signups, active user count and GPU usage hours. Token allocation is also evaluated even though we haven't started revenue generation yet.
Our company incorporated in
Deltaware
The main risks for my startup could include possible technical failures or downtimes, escalating operational costs, securing reliable GPU rental partnerships and managing potential regulatory challenges across various jurisdictions.
$
25000
We raised investments
self funded
$
1000000
Currently, we are raising investments
$
4000000
Estimated pre-investment valuation of the company
I'm the founder of Pipelet.ai, an optimized global AI inference platform. By offering a proven and efficient platform for AI workflows and new models, we make AI as easy to consume as tap water. I’m currently searching for a like-minded co-founder who shares my passion for AI and is driven by the ambition to simplify the AI application landscape. The ideal candidate will bring a depth of experience in leading product development and scaling businesses. This includes a strong background in startups, a clear understanding of AI and GPU infrastructure, as well as the ability to tap into their existing network to drive our growth. As a co-founder, your primary responsibilities will include aligning our tech product with market needs, driving product development, helping to scale the business, and actively participating in fundraising rounds. This role offers significant equity and the opportunity to shape the future of AI consumption together with a dedicated team of forward-thinking individuals.
We're actively seeking an enthusiastic and passionate Application Developer to join our rapidly growing team at Pipelet.ai. As an AI inference platform, we provide a seamless infrastructure that integrates GPU rental, simplifying and accelerating the process for developers and teams across the globe to build, scale, and distribute their AI-powered applications innovatively. This role provides a unique opportunity to be a part of a startup that is simplifying AI development and infrastructure, and you'll have a significant hand in shaping our product and user experience. Responsibilities: - Participate in the entire application life cycle, focusing on coding and debugging. - Write clean code to develop functional applications. - Troubleshoot and debug applications. - Produce and maintain software documentation. Key Qualifications: - Proven experience as an application or model developer. - Familiarity with Cloudflare, Kubernetes, vLLM, SGLang, and multiple GPU providers. - Understanding of AI workflows and GPU infrastructures.
As founding engineers, my co-founder and I successfully navigated the tech market with two startups: StarTree, a database firm, and Parasail—an AI inference company.