The world is becoming intelligent faster than its infrastructure was designed to support.
AI is the most advanced technology of our generation
It's going to be integrated into every critical industry, every company, every country
Critical industries were never built for AI.The problem is that the technology is fragmented. It was built to be operated, not think.
The models exist. The infrastructure to put intelligence into critical systems does not.
We make critical systems AI-native.
Unify machines, sensors, software and operational data.
Run AI where critical workloads actually happen — cloud, edge or on-premise (sovereign).
Turn real-time data into predictions, decisions and autonomous operations.
We build the network that makes the world’s critical systems intelligent.
AI infrastructure spend 2026
projected 2027
AI compute infrastructure required through 2030
Sources: Gartner, Worldwide AI Spending Forecast, Sept. 2026; McKinsey, The Cost of Compute, 2025.
AI is scaling faster than its infrastructure can consolidate.
AI infrastructure spend in 2026
AI inference compute demand through 2030
organizational AI adoption
The next infrastructure giant will connect the stack.
| Company | What they own | Gap Cencori attacks |
|---|---|---|
| AWS | Cloud, compute, networking, custom AI chips | Optimized around AWS infrastructure Source ↗ |
 Microsoft Azure | AI infrastructure from silicon to systems | Deep vertical stack, centered on Azure Source ↗ |
| NVIDIA | Chips, systems, networking, AI software | Extremely deep hardware stack, centered on NVIDIA infrastructure Source ↗ |
 Palantir | Enterprise data, models, agents, operations | Strong operational software layer, not neutral infrastructure across the entire compute stack Source ↗ |
 Baseten / Modal | Inference + developer compute | Strong developer infrastructure, but concentrated around inference/compute rather than the whole stack Source ↗ |
They own pieces of the stack. Cencori makes the stack one system.
The same infrastructure that serves a 19-year-old building an AI startup can serve an energy company deploying models inside a power facility (obviously, the requirements become radically different).
We don't have to replace the giants.
We aim to be part of the giants.
AI is already running on Cencori.
All while still in beta.
This is only the beginning. More of the world’s AI will run on Cencori.
We earn the right to move down the stack.
Today, Cencori developer infrastructure is live.
Intelligent model routing and inference orchestration across providers and endpoints.
Deploy inference, agents and AI jobs once. Cencori schedules where they run.
Optimize placement, scaling, failover and cost from live workload performance.
Bring the same runtime into private cloud, on-premise and edge environments.
Connect GPU clouds, data centers, enterprise clusters and edge nodes into one compute fabric.
Purpose-built servers, edge systems and networking informed by workload data.
Design specialized chips using what the infrastructure network learns about AI workloads.
Co-Founder & CEO
Bola Banjo is an engineer, technologist, and deep-tech founder working across modern computing, AI infrastructure, and advanced systems. He is the Founder & CEO of Cencori, where he is building the computing infrastructure for the next generation of intelligent and mission-critical systems. His interests span compute architecture, distributed systems, semiconductors, cloud infrastructure, robotics, energy, and the future of technology in Africa.
Co-Founder & COO
Daniel is a product builder and growth engineer with 5+ years of experience specializing in scaling internet-native consumer platforms and AI applications. With a deep background in designing tech architecture and user experiences, he drives the operational execution, product velocity, and high-impact GTM loops for Cencori. He focuses on bridging the gap between advanced language models and direct, mass-market consumer acquisition.
9-person total team size
Founders + engineering, product and operations
Next hires
Distributed Systems · AI Infrastructure · Systems Engineering · Hardware · Enterprise
We’re intentionally building a small, exceptional technical team around the founders.
Raising a $3M pre-seed round to build the infrastructure beneath the next generation of applications and critical systems.
Target runway: 18–24 months
| 45% | Engineering & ResearchCore infrastructure team, distributed systems, inference, runtime and orchestration. | $1.35M |
|---|---|---|
| 25% | Compute & InfrastructureGPU capacity, cloud, testing environments, networking and deployment infrastructure. | $750K |
| 15% | Enterprise & Critical SystemsPilots, integrations, field deployments and strategic customer development. | $450K |
| 10% | Security & ReliabilityObservability, security, compliance, redundancy and production-grade infrastructure. | $300K |
| 5% | OperationsLegal, finance, recruiting and core company operations. | $150K |
