Our Services

Explore our comprehensive suite of services designed to empower your business with cutting-edge technology solutions. From blockchain development to AI integration, we tailor our offerings to meet your unique needs.

Karakod engineers digital infrastructure across three disciplines — blockchain, cybersecurity and applied AI — for organisations that answer to a regulator as well as to a user. Compliance is treated as an architectural constraint rather than a review step at the end, which is why the blockchain practice centres on standards such as ERC-3643 and the security practice is framed around GDPR, ISO 27001 and NIST. The eighteen services below are the individual engagements. Each belongs to one of the three pillars, and each pillar has a page setting out how we approach it.

Blockchain Infrastructure

Blockchain work at Karakod starts from the compliance question rather than the consensus one. We build permissioned and public-chain systems in which identity, transfer restrictions and reporting live inside the contract logic — the model behind standards such as ERC-3643 for regulated token issuance. In practice that spans smart contract engineering for EVM-compatible chains, private network deployment on Hyperledger, Quorum or Polygon Edge, validator and RPC operations, token economy and governance design, decentralised applications, and independent audits of what gets built.

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Cybersecurity & Cloud Security

Security engagements are scoped around the frameworks a client is already accountable to — GDPR, CCPA, ISO 27001, NIST — so that hardening the estate and producing evidence for an audit come out of the same work rather than two competing projects. That covers cloud infrastructure hardening and identity and access management reviewed together, zero-trust access rules, continuous monitoring and SOC operations for detection and response, and threat intelligence that assesses exposure before an incident forces the question.

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AI Systems & Automation

AI work here covers the whole path from model to production system: machine learning for prediction, classification and natural language processing, computer vision for detection and recognition, and predictive modelling that turns historical data into decisions a business can take earlier. Integration is treated as its own discipline, with scalable APIs, inference layers and cloud deployment strategies. AI Audit exists because a model that cannot be explained for fairness, transparency and regulatory compliance is not actually finished.

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We Provide What You Need

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