Research Center

We explore AI models and industries
for informed integration
into business processes

Research
We test models on industry-specific applied tasks: where the result is stable and what can be entrusted to agents.
Monitoring
We track global research, model releases, and benchmarks. Significant findings are translated into actionable insights for projects and clients.
Strategy
We provide consulting on integrating AI into business processes: priorities, work sequencing, and performance metrics.

Ocean Tech Research Center

Research Directions

Industries
Working implementations, solution economics, limitations. Finance, healthcare, law, manufacturing, e-commerce, education.
Long-term Agents
Result stability, error accumulation, boundaries of autonomy.
Russian Language and Local Context
Terminology, document flow, legal specifics. Global benchmarks do not measure these.
Security and Controllability
Predictability of behavior, data access control, compliance with company policies.
Global Research and Implementations
Scientific publications, model releases, practical applications.

Research Center

Feasibility Assessment
The company wants to understand whether it needs AI now and where to start. We conduct an audit of processes and data, study industry practices, and provide a reasoned answer. If implementation is not feasible, we say so directly.
01
Implementation from Scratch
The company has no AI practice yet, but there are tasks that AI could solve. We go through the entire journey together: from the first hypotheses and pilot to stable operation in production.
02
Process diagnostics
The company wants to know exactly where implementation will deliver measurable impact. We study team workflows through interviews and operational data, identifying areas with the highest potential return.
03
Team Adaptation
The tools have been selected, but employees are not using them to their full potential. We help them master the technology, restructure processes, and redefine role distribution.
04

Research Center

“Most AI implementation projects fail not at the development stage, but at the decision stage: what exactly to implement, when, and for which tasks”

Konstantin Moroshin

Head of the Ocean Tech Research Center

Why us