Market Surveillance & Analytic

Network Security, Fintech software, Blockchain

A client is a group of people from Standford University with an experience in law and e-commerce industries. When cryptocurrencies ski up from $1000 to $18 000 for bitcoin in about two years, it was a bloom of different startups, companies, and technologies based on blockchain technology. It was also bloom for venture capital and angel investors. While blockchain opens a lot of new opportunities, cryptocurrency markets are global, fragmented, and still widely unregulated.

Network Security, Fintech software, Blockchain

Research, Development

Tech stack
Google Cloud and related services: Google SQL, Kubernetes, Google build, and Cloud functions, python, golang, Vuejs, Stylus, Postgres, testcafe.

Project goals


The company has a massive goal of collecting, storing and identifying transactions in bitcoin, ethereum, and other blockchain ledgers. While reading and transcoding blockchain transactions in a traditional SQL database is not a trivial task by itself, analyzing mixer transactions and identifying wallet owners was complicated and hard to solve challenge. In addition, the company has a tradiional problem of growing, building relations with customers and were actively looking for engineers, designers, data scientists, and quality engineers.


At first, we split our resources based on priorities and company goals. Relatively quickly we manage to set up google dataflow jobs to build bitcoin and ethereum blockchain ledger parser and saved all the data into postgresql and bigquery storages. Using google cloud AI tools (deep learning VM images, data labeling services, AI Hub) data scientists we able to process raw transactions and build prediction models. Partnership with different exchanges helped us to retrieve vital data set to deanonymize and label wallets with concrete identifies.


At first, the company were able to reach intermediate results. By building analyzer tool for bitcoin ledger company attracted different venture capitals: Pantera, foundation capital, aspect venture, digital currency group. This provides critical connections to get data sets to work with wallet identifies and funds prediction after mixers. While those tasks aren’t possible to solve 100% correctly the company was successful enough to be bought by a big player on the market

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