Blockchain is the right tool for a narrow set of problems: when several parties who do not fully trust each other need to agree on a record, and no one of them should own it. Outside that, a database is faster, cheaper and easier to fix. Zelpex builds on-chain systems for the cases that genuinely qualify, and says so plainly when a project does not.
We work on EVM chains and Solana, building the contracts, the indexing layer and the application around them. Most of the engineering effort is off-chain: indexers, wallet handling, transaction retry, and a front end that stays comprehensible to people who do not think in gas fees.
We ask which parties distrust each other and what breaks if one controls the record. If there is no good answer, we recommend a database and a smaller engagement.
Deployed contracts cannot be patched like a service. Upgrade paths, admin keys and emergency stops are decided before deployment, because afterwards the options narrow sharply.
Indexing, caching and APIs make chain data usable at application speed. Reading directly from a node on every page load is why many blockchain products feel slow.
Full runs on testnet with realistic data and adversarial testing, then a staged mainnet rollout with limits in place, so the first real transaction is not the first honest test.
Often not, and we would rather establish that in the first conversation than six months in. The test is whether multiple parties need to agree on a record without trusting a single operator. Supply chain provenance across independent companies can qualify; an internal audit log almost never does.
It depends on transaction cost, finality requirements, where your users already hold assets, and which ecosystem has the tooling you need. We would rather choose after understanding the usage pattern than start from a chain preference — and sometimes the answer is an L2 rather than the L1 people assume.
That is usually the hardest part of the product, not the contracts. Options range from embedded wallets and social login to account abstraction that sponsors gas. Each trades custody and complexity differently, and the choice should follow who your users are rather than what is technically elegant.
Conservatively. Deployed code is difficult to change and mistakes are permanent and public.
We build the unglamorous parts properly — indexing, error handling, transaction retries, monitoring — because that is what separates a product people can use from a demo that works when the network is calm. We will also decline work where the chain adds nothing but risk.
Tell us what you are building and what is getting in the way. You will get an honest read on scope, approach, and whether we are the right team for it — including when the answer is that you do not need us.
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