FAQ
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We’re a team of highly passionate tech and business savvy individuals, that is a looking to make an impact on this universe, by combining siloed technologies (Blockchain enabled Federated Learning) in solving some of the most complexed problems through the next phase of digital transformation. Data is now the lifeline of all organizations. We support enterprises in architecting data privacy models, enhance security, automate workflows, and solidifying trust amongst partnersOur mission is to provide a secure enterprise data privacy platform for organizations to securely utilize their data assets, monetize and accelerate industry collaboration.Imagine a world where data could be shared across industries and enterprises. However, this is not feasible due to the sensitivity of the data, regulatory compliance and user privacy. Secondly, data is in a state of constant move that changes daily, and thirdly, the threat of security through data breaches. These challenges hinders global technology acceleration, costing time, money and inefficiencies by limiting industry collaboration. In essence, its about securely removing industry “data silos” We found a solution to overcome these challenges with a framework that allow enterprises to move algorithms and models through enhanced privacy preservation technique, combining Federated learning (FL) and blockchain, without moving or accessing the sensitive part of the data that encourages collaboration at the same time.We offer the following solutions:Terracuda – A blockchain cloud based software platform, allowing enterprises to securely build application interacting with their business partners (via decentralized service automation) across various industries. Find out moreTerracuda.Ai – A state of the art A.I based solution that combines both federated learning and blockchain in a decentralized and distributed manner, that will assist enterprises in securing precision data, through privacy, security and trust enabling industry collaboration. Find out moreBlockchain Integrated Edge System (BIES) – An edge (Multi-Access Edge Computing) based hardware system (Plug-n-Play) that integrated Terracuda / Terracuda.Ai solution, with a selective set of features for a complete on-premises solution, allowing for fast deployment. Find out moreOur company values consists of :Integrity : In everything we do and encounterPerseverance : “Impossible does not exist in our dictionary” We continue to break boundaries.Empowerment : This is embedded in our DNA. From the software protocols that we design to the partners, employees and the society that we serve. Our solutions will support stakeholders to achieve more and competitively at every level.
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With global data proliferation, AI and machine / federated learning are increasingly crucial in business decision making. We help enterprises to utilize data for strategic decision making, by providing trusted datasets (distributed & decentralized manner) via algorithms / models without exposing sensitive data sources through authorized mechanisms. This infrastructure enables a wide range of use cases, from autonomous vehicle, supply chain, manufacturing automation, powering smart cities, intelligent healthcare, energy, life science and much more. This will bring benefits to industries in terms of :Preserving privacyEnhance securityBring data transparency through auditability and traceabilityBridge trust amongst industry partnersService automation through operational efficiency & cost reductionNew business model innovationThe most transformative era in business is happening right now. The industry is embracing our blockchain / Federated learning solution to bring revolutionary trust and transparency to various vertical industries involving:ManufacturingSupply chainSmart cityHealthcare & life scienceSmart agricultureFinance & BankingAviationThat will remove friction, build trust and unlock new values both across industries and around the world.Blockchain (will enhance security, provide greater transparency) with instant traceability. Delivering business benefits in the form of speed, efficiency and automation with reduced errors. Embedding federated learning orchestration capabilities with blockchain, we have exposed a very powerful solution, through orchestrated learning on distributed datasets that is decentralized, without the need to move data centrally or even share your data source, in ensuring privacy. Blockchain will track & trace all changes on the distributed models in real-time across multiple consortium nodes, ensuring model precision and integrity. Thereby facilitating the secure collaborative development of highly accurate machine learning models for analytics use casesCompanies can no longer ignore the importance of data privacy and security. The business model for Blockchain enabled Federated Learning (FL) has a provided a new paradigm for applications leveraging data. The goal with FL is that when the isolated dataset used by each company fails to create an accurate model, the mechanism of FL makes it possible for companies to share a united model without any direct data exchange. It would be possible for companies to access more data and better train their models. Our business model is to build an alliance network that spans across multiple research institutions (healthcare and life science). By joining the alliance, entities can cooperate using data under the FL framework. It will be a multi-party system forming an alliance to train a shared model on their diversified datasets through FL. The alliance will apply blockchain for all the institutions involved, recording and computing aggregate models on an immutable ledger, in ensuring data authenticity and model validity without exposing sensitive datasets. Thereby, conforming to data regulations within their own jurisdictions, and accelerating the advancement in healthcare & life science research collaborations within the global community. We unlock AI, break data silos, and protect privacy with our federated learning solutions.We can provide you with the most suitable solution (hardware & software), that is fully tailored to your requirements through:Use case assessmentRapid prototypingSolution designBuild & implementRolloutAsset maintenance
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Blockchain orchestrated Federated Learning (FL) aims to address privacy and regulation of data. In the FL mechanism, the central server act as an orchestrator to start the FL learning process through a secure protocol, and only model parameters' updates are shared between end devices and the central orchestrator. This is done with a set of defined access policies, and how updated model weights are encrypted via our blockchain consensus solution (avoid data poisoning, leakage or unwanted data insertion) through both a distributed and decentralized scenario. Included are a set of audit trail logs undertaken within the network that keeps a list of participants hidden. This integrated solution can be hosted on a cloud or multi-Access Edge Computing (MEC) infrastructure, that provides low latency connectivity such as 5G, with close to endpoint computation for a particular device or service. Find out moreMulti-Access Edge Computing (MEC) provides execution resources (compute and storage) for applications (Blockchain enabled federated learning) with networking close to end users. MEC can also be placed at enterprise premises, for example, across multi manufacturing premises. The edge infrastructure can be managed or hosted by communication service providers or service providers like us. If we setup a private consortium for a particular industry, MEC can be deployed at various distributed sites. The advantages of MEC solutions is that it provides low latency, high bandwidth, device processing and data offload as well as trusted secure computing and storage. Thereby, processing intelligence at the network edge. Find out moreBlockchain is a shared, immutable ledger that facilitates the process of recording transactions and tracking assets in a business network. An asset can be tangible or intangible. Blockchain is ideal for executing information transactions because it provides immediate, shared and completely transparent information stored on an immutable ledger that can be accessed only by permissioned network members. A blockchain network can track orders, payments, accounts, production and much more. Main traits of a blockchain :All transactions are stores on a distributed immutable shared ledger that are executed on the blockchainConsensus algorithms are used to achieve agreements on data values amongst a decentralized and distributed systems in order to achieve trust, security, transparency and reliabilitySmart contracts are set of contracts (a set of rules) in the form of programmable codes that are executed automatically once terms & conditions are met. Find out moreMachine Learning (ML) is a system that improves performance, increases accuracy, and scales to larger input data sizes. It reduces errors made by the machine and assists individuals to make informed decisions and analyses from large amounts of data. Distributed machine learning algorithms have evolved to handle enormous data sets. is a challenge to handle large-scale data due to the limitations of machine learning algorithms in terms of scalability and efficiency. Distributed ML algorithms are integral to large-scale learning because of their ability to allocate learning processes onto several workstations to enable faster learning algorithms.Federated Learning (FL) is a centralized server first approach. It is a distributed ML approach where multiple users collaboratively train a model. Here, the raw data is distributed without being moved to a single server or data center. It selects a few nodes and sends the initialized version containing model parameters of an ML model to all the nodes. Each node now executes the model, trains the model on their local data, and has a local version of the model at each node. Thereby ensuring data privacy at the source, without actually moving and exposing the data. Find out moreHardware Security Module (HSM) is a security solution that manages digital keys and is been used widely in PKI environments that facilitates encryption, decryption, signing, verification. Motivation behind HSM is to provide a safe environment to interact with a private key. Without this environment, the key is risk being exposed. HSM is a cryptography device (Hardware server / PCIe) card that is responsible for governing the entire life cycle of private keys. The life cycle includes generation, distribution, rotation, storage, destruction and archiving. Built to create a tamper resistant secure environment for cryptographic operations which is fast and secure, without compromising the secret keys it contains. There are many ways in which HSM devices can be used in blockchain, leveraging this established hardware technology to protect keys. The potentials are as follows:Generation of private and public key pairsSecure storage for private keysSign & verify transactionsHierarchical deterministic wallet supportEncrypt, decrypt and use keys records from databasesLogging in tracking usage of keysWe offer an optional Blockchain Integrated Edge System (BIES) solution combining HSM for enterprises requiring an extra added layer of security. Find out more