IVAN ALVOVSKY

I build the map.

For decisions where there isn’t one yet.

Owners, boards and investors bring me decisions that don’t fit their existing tools. I build what’s missing: the model, the protocol, the market data, the criteria. Then they decide.

Scattered unknowns joined by construction lines; one ink route runs through them to a marked decision point. market regulation risk process capital evidence unknown unknown DECISION avg. < 1 year to first result
Decidable
Drawn byIvan Alvovsky
FieldStrategy · Investment · Corporate Development
Based inSaint Petersburg
LanguagesEN C1 · DE C1 · RU native
Contactax2207@yandex.ru
LinkedIn

When there was no map

BIOCADClinical development · 2018, 2020

There was no template.

In 2018 nobody in Russia had written a clinical trial protocol for CAR-T cell therapy. In 2020, there was none for HER2 bispecific antibodies.

So I wrote the first ones. From scratch.

Notes. BIOCAD, Russia’s leading biotech company. The oncology portfolio: 14 trials, phases I–III, for the EAEU, EMA, FDA and other regulators.

Fig. 2 · Protocols without precedent Timeline 2016 to 2022; before 2018 a hatched zone with no domestic precedent; first CAR-T protocol in 2018, first HER2 bispecific protocol in 2020. no domesticprecedent 2016201820202022 CAR-T PROTOCOL first in Russia HER2 BISPECIFIC first in Russia
First in Russia
Fertoing / Russian Marine TeamMarine robotics · 2025

The numbers didn’t agree.

A marine robotics company had to choose: build a 3,000 m underwater vehicle or a 400 m one. Public estimates of how many such vehicles work in Russia differed tenfold: from 50 to 700.

So I stopped choosing between estimates and built the registry: every operator and its vehicles, public tenders since 2020, customs declarations.

Market: ~₽7B in 2025, ~₽10B by 2030. The model went to the CEO and into the company’s reply to the Ministry of Industry and Trade.

Notes. Sources: EIS procurement 2020–2025, Federal Customs declarations, SPARK. The top-down estimate is cross-checked bottom-up.

Fig. 3 · Estimate vs. count Log scale of vehicles in operation: public estimates of 50 to 70 and 500 to 700, a tenfold gap; an own registry by operator, model and year; market of 7 billion roubles in 2025 and 10 billion in 2030. 101001000 ×10 public estimates own registry: counted operatormodelyear ₽7B₽10B 20252030
Sent to the Ministry
GremediumBiotech, EU · Series A · 2022

The investors couldn’t read the technology.

A European biotech company was raising a Series A to scale up manufacturing. The science was sound. The investors couldn’t price its risk.

So I translated the risk into their language: the financial model, the due diligence, the investor conversations.

Round closed: €1.5M.

Fig. 4 · Translation Two blocks, technology and capital, joined by three translation lines: risk becomes price. TECHNOLOGY CAPITAL processIPscale-up modeldue diligenceterms RISK → PRICE
Round closed · €1.5M
Leningrad RegionGovernment technology · 2021–2022

The answer took a month.

When an investor in the Leningrad Region asked a routine question, government bodies and utilities had up to 30 days to respond.

So we built the Investor’s Personal Account: the digital front door of the region’s investment agency, one route for every request.

Response time: 30 → 7 working days.

Notes. Public figure, reported by the regional government and Kommersant. The agency accompanies about 300 projects worth ~₽7 trillion.

Fig. 5 · To scale Two dimension lines drawn to scale: 30 working days before, 7 working days after. before 30 after 7 working days to answer an investor
7 days
Government of St PetersburgClient · 2022

There was nothing to measure with.

The St Petersburg government needed to know how digitally mature the city’s key enterprises were. No instrument existed.

So I built one: metrics, reporting, a transformation roadmap.

The directorate’s annual KPIs: exceeded by 20%.

Fig. 6 · The instrument Enterprises feed into metrics, then reporting, then a roadmap that steps upward. enterprises METRICS REPORTING ROADMAP
KPI +20%
BIOCADFederal funding · 2020

The samples sat unused.

A biobank of clinical trial samples: valuable in theory, useful to no one.

So I initiated a federal programme to sequence it: ₽30M of state funding.

It became a patent: a diagnostic tool that predicts which melanoma patients will respond to anti-PD-1 immunotherapy.

Notes. Patent RU 2771080 C2, 2022. Public record.

Fig. 7 · From storage to asset Sample tubes lead to sequencing funded with 30 million roubles, which leads to patent RU 2771080. samples SEQUENCING ₽30M federal RU 2771080 C2
Patent granted

Also in the specification

Pos.There wasSo I builtResultYear
1No export route: sanctions had closed the usual one.Another route for an industrial automation manufacturer: 13 product groups, 12 countries, prices benchmarked against Schneider, ABB and Siemens on 150 items, entry through the state export agency.Buyer search launched in every target country2024
2No way to buy the drugs: a clinical standard blocked them.An expert council of key opinion leaders; lobbied the Ministry of Health to change the standard.Drugs entered the federal procurement programme2020–21
3No way to compare products.Evaluation standards (PLM, KPI) and DCF models for the board.+35–50% upside from new product lines estimate2025
4No single logic to compare investment initiatives.One evaluation framework for a family-office-style holding.The shareholder decides on verified data2026, now
5Too many candidate molecules, one development budget.Expert screening on the early development committee.More than half of the drugs in development passed my screening2018–21

Method

Before anyone decides, one question:

What has to be true?

Most of the variables won’t matter. Three or four will. Finding them is the work.

About

You may be wondering why the industries keep changing.

  1. Molecular medicine
  2. Clinical development
  3. Government technology
  4. Export
  5. Venture deals
  6. Investment

The industries changed. The situation didn’t: an important decision, and no map for it yet. That’s where I go.

Ivan Alvovsky
Fig. 8 · The author

Ivan Alvovsky

Based in
Saint Petersburg
Education
B.Sc. Molecular Medicine, Medical University of Innsbruck
Science
4 publications, 3 in Scopus Q1 journals · 1 patent
Languages
EN C1 · DE C1 · RU native

I don’t make the decision. I make it possible.

Contact

What are you trying to figure out?

ax2207@yandex.rulinkedin.com/in/ialvovsky

If it’s already obvious what to do, you probably don’t need me.