A transfer confirms quickly. The ledger that has to agree with it, the custody model deciding who can move funds, the reconciliation that runs when a chain reorganises, and the reporting a regulator eventually asks for are the parts that take engineering. We build the operational layer around the chain and treat the chain itself as one input among several.
Where keys live determines both what an attacker gains and what an operator can do by mistake. Hot, warm and cold boundaries, signing thresholds, withdrawal allowlists and the approval path for moving between tiers are architectural decisions, not settings to be chosen after launch.
The balance a user sees is an internal number; the chain is the authority. Deposits arrive unannounced, reorganisations reverse confirmations and fees are deducted outside your control, so the ledger needs explicit rules for confirmation depth, reversal and unmatched funds.
Network fees move independently of whatever triggered them. Fee estimation, replacement transactions, batching, dust thresholds and the accounting treatment of a transaction that failed after broadcast all have to be decided deliberately rather than discovered in production.
Each chain brings its own finality, address format, token standard, decimal handling and node behaviour. One abstraction across them keeps the codebase manageable, but it has to leak deliberately at the points where those differences genuinely change the outcome.
Identity checks, sanctions screening, travel-rule data and transaction monitoring sit against a product whose users expect speed and self-service. These controls work best applied at defined points in the flow rather than as a blocking layer draped over everything.
A multi-chain toolkit for deploying tokens, reading on-chain data and taking payments.
cryptogenieai.com (opens in a new tab)ERC-20, BEP-20 and SPL tokens are deployed on-chain through a guided wizard.
Live price and volume data across the supported chains, with honeypot security scoring built in.
Crypto arrives directly in your own wallet, through hosted checkout or a REST API.
Presales run with escrow contracts, whitelist tiers and automated distribution.
Holder distribution, liquidity depth and security scoring are broken down per contract.
Rarely in the cryptography. The failures that take a platform down are ordinary systems failures with money attached: a deposit credited twice because a node replayed an event, a withdrawal queue that cannot be paused during an incident, a balance drifting from the chain over months because a reversal path was never written, an operator holding more authority than the runbook assumes.
We design the ledger, the custody boundary and the reconciliation loop first, and treat trading or token features as what sits on top. Every movement of value is an entry with a source, a state machine and a reversal rule, so the question of why a balance is what it is always has an answer.
A crypto platform is an operational commitment more than a delivery. Nodes fall behind, chains fork, providers rate-limit, fees spike, and a support team has to answer where the funds of one specific user are at one specific moment. That needs tooling built for operators: transaction search, manual reconciliation with an audit trail, controlled replay, and a firm separation between what support can see and what support can move.
Monitoring watches for the signs of trouble before users report them, including node lag, unmatched deposits, stuck withdrawals, balance drift against the chain and unusual withdrawal patterns against a baseline. Alerts route to a runbook rather than to a dashboard nobody is watching at the weekend.
The first phase is the ledger, one chain, and the deposit and withdrawal path, exercised against a testnet and then with small real amounts under manual approval on every movement. That proves confirmation handling, fee behaviour and reconciliation before any volume depends on them.
Further chains, assets and features follow one at a time, each with its own reconciliation evidence. Custody automation is relaxed last and deliberately, because moving from manual approval to threshold signing changes who is able to lose the funds.
Both. A full build covers the ledger, matching, custody and settlement. An integration puts your product in front of liquidity and custody someone else operates. The decision mostly turns on whether you intend to hold customer funds, because that is what brings the operational and regulatory weight.
Through a custody model chosen for the product: non-custodial, where the user holds the keys, or a hot, warm and cold split with threshold signing where the platform does. Either way the boundary is explicit in the architecture, and moving funds between tiers is an approved and recorded operation.
Credits are held until a configured confirmation depth for that chain, and a reorganisation deeper than the threshold triggers a defined reversal against the internal ledger rather than a manual repair. The depth is a product decision balancing speed against risk, set per asset.
We build the technical side: identity capture, screening integrations, monitoring hooks, travel-rule data and reporting extracts. What is legally required of a given platform in a given jurisdiction is a question for its own advisers, and the system is built to be configured against their answer.
The major EVM chains and the common non-EVM ones, behind an abstraction that handles addresses, decimals, finality and token standards per chain. Adding a chain is a defined piece of work rather than a rewrite, provided its differences are modelled rather than assumed away.
Share the workflows, records, exceptions and integration boundaries the system needs to support. We will help define the technical scope.