Cerebrium, Inc.
Cerebrium is a serverless AI infrastructure platform built to power the next generation of high-performance AI applications, enabling teams to deploy, scale, and operate AI workloads without managing servers.
At a Glance
- AI/ML engineering teams at startups
- AI/ML engineering teams at enterprises
- Healthcare and regulated industries
- Financial services
- +4 more
AI Tools by Cerebrium, Inc.
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Cerebrium
Serverless GPU Infrastructure for AI
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Latest News
Cerebrium is now ISO 27001 Compliant
Introduction New Regions: India & Stockholm
Multiverse Computing and Cerebrium Bring Compressed AI to the Cloud, Creating a Blueprint for Economically Sustainable AI at Scale
Cerebrium Raises $8.5M led by Gradient to Scale the Leading High-Performance Serverless AI Platform
Products & Services
A comprehensive serverless AI infrastructure platform for building, deploying, and scaling high-performance multimodal AI applications including LLMs, voice agents, video models, and large-scale data analytics.
Feature for executing cloud code
Deploy AI applications globally across multiple regions for better compliance and improved performance
ASGI support for ML apps at scale
Market Position
Cerebrium positions itself as a high-performance, serverless alternative to traditional cloud providers (AWS Sagemaker) and competitors like Baseten, Modal, RunPod, and Replicate. Key differentiators include: 40% cost reduction compared to traditional cloud providers, 2-4 second cold starts (faster than competitors), 99.999% uptime reliability, developer-friendly experience with simple deployment (single .toml file configuration), responsive customer support across all timezones from a small team, and focus on real-time, low-latency applications (voice, video, multimodal AI). Unlike competitors, Cerebrium built custom infrastructure from the ground up rather than tweaking existing tools.
Leadership
Founders
Michael Louis
Previously CTO at OneCart (acquired by Walmart/Massmart). South African entrepreneur who founded businesses in ML, AI, blockchain, retail, and marketplaces. Also held roles as Lead Developer at OneCart, Head of Product at registree, Co-Founder and CTO at Sxuirrel, Consultant at MTN, and Part-time iOS Developer at Craftr.
Jonathan (Jono) Irwin
Co-founder & CTO with over 8 years of experience as a Javascript developer. Previously worked as Lead Engineer at OneCart before it was acquired. Holds a BComm and Finance Honours from the University of Cape Town and studied Data Science at Tilburg University.
Executive Team
Michael Louis
Co-Founder & CEO
Previously CTO at OneCart (acquired by Walmart/Massmart). Serial entrepreneur with experience in ML, AI, blockchain, retail, and marketplaces.
Jonathan (Jono) Irwin
Co-Founder & CTO
8+ years experience as a Javascript developer. Previously Lead Engineer at OneCart. BComm and Finance Honours from University of Cape Town, studied Data Science at Tilburg University.
Board of Directors
Founding Story
Cerebrium was founded by Michael Louis and Jonathan Irwin after they struggled with the complexity, cost, and fragmented tooling of building AI-driven products at their previous company OneCart. They experienced firsthand the challenges of productionizing AI applications and managing infrastructure, which inspired them to create a platform that makes it radically easier for teams to focus on building AI products that users love rather than managing infrastructure.
Business Model
Revenue Model
Usage-based pricing model where customers pay only for compute resources used (per-second billing for GPUs and CPUs). Additional revenue from subscription tiers (Hobby, Standard, Enterprise) with monthly platform fees for higher tiers.
Pricing Tiers
3 user seats, up to 3 deployed apps, 5 concurrent GPUs, Slack & intercom support, 1 day log retention, 1000 CPU concurrency. First 100GB storage free.
10 user seats, 10 deployed apps, 30 concurrent GPUs, 30 day log retention, 1000 CPU concurrency, SOC2 compliance, observability features.
Unlimited deployed apps, unlimited concurrent GPUs, unlimited log retention, dedicated Slack support, unlimited CPU concurrency, full SOC2 compliance, priority support.
Target Markets
- AI/ML engineering teams at startups
- AI/ML engineering teams at enterprises
- Healthcare and regulated industries
- Financial services
- B2B SaaS companies building AI features
- Voice AI application developers
- Real-time voice agents and voice bots
- Large Language Model (LLM) applications
- LLM fine-tuning
- Video models and pipelines
- Image generation and processing
- Multimodal AI applications (language, voice, image, video)
- Tavus
- Deepgram
- Vapi
- bitHuman