CoreAI

AI cloud infrastructure

CoreAI is an AI infrastructure platform that helps companies in Central Asia deploy, train and serve generative AI and ML models in production. The AI inference market is projected to reach $255 billion by 2030.

The problem

A developer building an AI product faces a bad trade-off. Closed model APIs (OpenAI, Anthropic) are easy to start with, but expensive at scale, offer no control or customization, and send data abroad.

Running an open model yourself requires GPUs and rare engineering skills
As a result the project either burns money on APIs or stalls on infrastructure
There is no platform in the region to rent a GPU from

The solution

CoreAI provides the full stack: rentable GPU servers, a ready-to-use AI chat, a pay-as-you-go model API and fine-tuning on the company's own data - all on one platform, with no in-house technical team.

GPU rental - On a monthly contract
Inference API - Pay-per-token, first in the region
Fine-tuning - On the client's own data
Data collection - As an enterprise service

Founders

Sanjarbek Rakhmonov

Founder & CEO at CoreAI

A founder who has seen both sides of AI engineering and venture capital: computer science in Korea, a Master's in AI in Germany, and in between led a team as Lead AI Engineer and observed corporate AI adoption from an investor's perspective at a €175M fund. Has worked with AI and LLMs since 2019 and has fine-tuned many LLMs that serve real users.

Professional experience

AI startup - Lead AI Engineer, ~2 years

Joined after graduating from KAIST and rose to Lead AI Engineer, leading a team of four engineers.

Alstin Capital, Germany - a €175M early-stage venture fund

Worked there in parallel with his Master's and saw enterprise AI adoption from the investor's side. This experience is rare: most technical founders do not know how a corporate purchasing decision is made, whereas he has watched it from the inside.

Technical role

At CoreAI he does all AI-related technical work himself:

Inference optimisation

Model fine-tuning
Evaluating and testing new models
Performance benchmarking

Education

KAIST, South Korea - Computer Science, Bachelor's, on a full scholarship

KAIST is Korea's leading technical university. A full scholarship is the university's highest level of admission.

FAU Erlangen-Nürnberg, Germany - Artificial Intelligence, Master's

Left the programme early to devote full time to CoreAI - a conscious decision to give up a ready academic path and choose the startup.

Why this team

The founder's formula is clear: AI infrastructure requires three rare things at once - AI engineering, hardware operations and enterprise sales. Most teams in the region have one of them.

The CoreAI team has demonstrated all three in practice: brought GPUs in through customs, commissioned the fleet, built the serving stack and closed paying enterprise customers through competitive tenders - validated by revenue.

H200-class hardware is currently running in production without interruption.

Sherzod Safarov

CTO at CoreAI