Nyquist Nyquist
CLOSED BETA · 2026 Start a 60-day pilot
Team

One founder. A senior team. One execution unit.

Egor founded Nyquist after four years inside a financial mega-regulator. He's building with a senior team across engineering, data, ML, distributed systems, quant research and business. People who shipped production financial systems — and validated IRB models inside the regulator.

01   Founder & CEO

Built from inside the regulator.

EG

Egor Galkin

Founder & CEO · Product & Quant
Market risk Credit risk IRB validation Bank supervision Suptech
LinkedIn
★ Path
Bank of Russia · CBSS → Market Risk Analysis → IRB validation → Market Risk Analysis
★ Delivered
Four years inside the Bank of Russia across three departments — Current Banking Supervision, Market Risk Analysis, and Systemically Important Credit Institutions Supervision, validating Internal Ratings-Based (IRB) methodologies and models for the largest banks in Eastern Europe.
★ Edge
Built supervisor procurement intuition from inside the regulator — not guessing it from outside. Knows what passes IRB validation because he has rejected models himself. Ships to the bar supervisors actually accept.
★ Owns
Project vision and direction. Owns the 7,553-document regulatory corpus powering Nyquist's SLM — and carries ownership across product, quant research, financial models and data infrastructure.
02   The team

Senior people who have shipped this before.

IF

Igor Fedorov

Head of Engineering

Path: Digital Economy League → SberTech → T-Bank. Shipped production financial systems at every level of the Russian financial hierarchy.

Owns: backend architecture and high-performance financial math — the gateway and the services behind it, so the book reprices overnight and the desk stays up when one piece fails.

SRE / PlatformPerformanceHFT JavaPayment systems
NS

Nikita Sobolev

Head of Data · Ontology & Frontend

Path: T-Bank credit-scoring → Yandex pricing → T-Bank. Crossed three ML domains end-to-end.

Owns: the data plane and the surface that exposes it — data engineering, the bitemporal ontology, and the frontend across the 53-hub portal.

Data engineerMachine learningData ontologyDynamic pricing
LinkedIn
NB

Nikita Byshnov

Head of ML

Owns: the ML layer end to end — model selection and training, evaluation harnesses, and the inference path the agent swarm runs on.

Machine learningModel trainingEvaluationMLOpsLLM systems
DS

Daniil Sergienko

Head of Distributed Systems

Owns: the compute substrate — the distributed, fault-tolerant backbone running pricing, risk and stress under real load.

Distributed systemsHigh-loadFault toleranceConcurrency
AP

Anatoly Podyman

Head of Quant Research

Owns: the quantitative core — analytics and research behind the models, from method selection to validation against real market data.

Quant researchFinancial modelingModel validationBacktesting
AM

Alexander Melnik

Head of Business

Owns: the commercial side — positioning, partnerships, pilots and go-to-market. The route from a running platform to funds using it.

Business devGo-to-marketPartnershipsStrategy
03   Walk the platform

Want to see what we built?

Walk through the live platform with the founder — closed beta, founder-led onboarding. The full demo runs in your browser, no scheduling.