Together with our client, the Web3 Foundation, we’ve published a blog about our trusted off-chain computing platform SubstraTEE which improves confidentiality, scalability and interoperability of blockchain solutions:

Have a TEE with Polkadot

More technical detail and a live demo with private token transactions is given in the recording of our recent meetup:

This project is open source and the code is available on GitHub

SCS has received a development grant from the web3 foundation in Zug for developing a privacy enhancement for blockchains that are based on  Parity Substrate, such as Polkadot and its parachains. SCS will leverage Trusted Execution Environments, namely Intel SGX, to enable use cases requiring enhanced confidentiality or integrity of decentralized computation.

This means that you will be able to transact cryptocurrency privately, that you will be able to swap cryptocurrency across different blockchains without a trusted intermediary or that you can vote privately and verifiably.

The project is open source from the start.

As of July 1, 2018, SCS has launched a new Department for Blockchain and Internet-Of-Things. Alain Brenzikofer heads the newly formed group as the new Department Head. We congratulate Alain Brenzikofer on the new role and wish him every success.

Distributed Ledger Technologies, Blockchain, Cryptocurrencies, IoT: The terms are ubiquitous and will disrupt various industries. Alain Brenzikofer has been observing these technologies for years and is a profound expert on the scene. Interesting applications arise today in the energy sector, but also in the commodity trade, with guarantees of origin. Some of these are already under development at SCS: As Partner in the “Quartierstrom” project in Walenstadt, where a blockchain-based peer-to-peer energy market is being created.

Industrial applications require an increasing degree of trust and privacy protection. Proof of existence, of origination or of a consistent track record gain importance. Trusting the timestamps and the integrity of sensor data can be a crucial requirement, i.e. for using surveillance camera footage as evidence in court.

SCS has set up an infrastructure that proves a concept to add trusted timestamps to sensor data based on a public blockchain. This allows to prove that (sensor) data has been captured at a specific point in time. Such a proof includes existence at certain time as well as prior inexistence, with a time precision of minutes. While it has previously been possible to prove that data existed before a certain point in time, this concept show a way to also prove that data only existed after
a certain point in time.

Please read our whitepaper: