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From competitive gaming to critical real-world environments, we are building AI that makes human behavior measurable, explainable, and useful.
Our journey
What started as an AI coaching idea became a platform, a proprietary data engine, and a growing behavioral intelligence system.
The beginning
20232023
Rankacy was founded in Ostrava around a focused question: could AI understand the decisions that shape performance in Counter-Strike?
February
The founding team begins building early prototypes of an AI coach for competitive Counter-Strike players.
17 November
A pivotal working session in Ostrava brings Kannan Paul into the story and validates the ambition behind the project.
Finding the platform
20242024
The team moves beyond a single coaching product and starts building a platform where players create measurable behavioral data at scale.
January
Kannan helps define a broader product direction: build the environment first, then use its data to develop better intelligence.
August
Rankacy opens its first live alpha around high-quality CS2 highlights, giving players an immediate reason to return.
December
Early adoption confirms that the platform can grow while continuously expanding its proprietary behavioral dataset.
Building the intelligence
20252025
Rankacy develops from a growing gaming platform into an AI company with its own research team, models, and validation environment.
April
The team begins focused development of GPRT, a foundational model trained on complex Counter-Strike behavioral sequences.
Research
GPRT reaches 75 million parameters and achieves up to 90% predictive accuracy in selected validation tasks.
Recognition
MSIC names Rankacy among its top startups to watch, recognizing the company’s technical progress and ambition.
October — December
The Rankacy.com beta launches, real-time training maps follow, and the mobile app arrives as the community passes 50,000 users.
Expanding the application
20262026
The underlying technology begins moving into new high-stakes environments while the company separates its product, research, and commercial tracks.
May
Rankacy formalizes work with OneArc on behavioral data, after-action review, and drone-simulation applications.
Summer
Rankacy’s bot systems begin entering commercial gambling environments, opening a new applied AI track.
Autumn · Next
The roadmap targets the first sold drone-simulator versions, initial bot revenue, and a regular scientific publishing cadence.
Company structure
Gaming & R&D, iGaming, and Defence develop as distinct business areas, while Mesocort.AI takes shape as a dedicated human-behavior AI research company.
Mesocort.AI · Next
The next phase combines new investment with senior scientific leadership focused on foundational human-behavior AI.