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Bucharest, Romania
Kethalia helps teams ship production-grade software across TypeScript product systems, Web3 infrastructure, Kubernetes/GitOps operations, CI/CD hardening, and AI-assisted delivery workflows.
Each service page explains the situation it fits, the outcome Kethalia owns, and relevant shipped work—not just a list of technologies.
Email KethaliaSenior TypeScript, Next.js, React, Node, database, and product engineering consulting for teams that need production-ready full-stack delivery.
Useful when an important product crosses React or Next.js, backend, database, and deployment boundaries and needs one senior owner rather than another narrow contributor.
02Next.js consulting for teams that need App Router architecture, React Server Components, static export, Cloudflare deployment, performance, and production feature delivery.
Useful when App Router boundaries, server and client components, metadata, forms, static export constraints, and deployment behavior must work as one production system.
03Web3 development consulting for EVM/LUKSO applications, Solidity contracts, Viem/Wagmi apps, indexers, subgraphs, APIs, and production blockchain data systems.
Useful when contract behavior, wallet identity, blockchain data, frontend UX, indexing, and deployment need to become one dependable product path.
04Kubernetes, Helm, ArgoCD, Cloudflare, CI/CD, backup, ingress, and deployment consulting for teams that need reliable production delivery.
Useful when applications work locally but environments, ingress, secrets, backups, release promotion, or rollback behavior make production delivery unreliable.
05CI/CD consulting for TypeScript, Web3, and platform teams that need build checks, quality gates, preview deployments, secret handling, and rollback-aware release paths.
Useful when releases depend on tribal knowledge, checks are inconsistent, preview environments are missing, or production changes cannot be verified before merge.
06AI-assisted engineering workflow consulting for teams using Codex, Claude, automated review, task-to-PR systems, and verification gates.
Useful when AI-generated changes are fast but difficult to scope, observe, review, test, or trust as they move toward production.