For teams that need the engineering, not the hype.
We build the blockchain layer of real products: smart contracts written and tested like the financial code they are, dApp frontends and APIs your users actually touch, and the integration that bridges an on-chain ledger to off-chain systems.
Scoped to what is genuinely deliverable, built in your own environment, every line assigned to you — fixed scope, one accountable lead, production discipline from day one.
Because they start from the technology instead of the problem. A pilot gets funded, a chain gets chosen for reasons nobody can later defend, and the result is a system that solves something a shared database already handled — slower and at higher cost. The technology then takes the blame for a scoping failure.
The honest framing matters here. Gartner predicted that 90% of enterprise blockchain platform implementations would need replacing within roughly 18–24 months, largely because they were built on the wrong premise rather than the wrong code.
Where blockchain genuinely earns its place — a ledger multiple distrusting parties must share, an asset that needs verifiable provenance, value that has to settle without an intermediary — the deciding factor is the same as any hard software problem: clear scope, contracts engineered to financial-code standards, and the integration work that connects the chain to everything off it. That surrounding engineering is the job, and it is what we do.
Blockchain is not a default; it is the right tool for a specific shape of problem — shared state among parties who don’t fully trust each other, or assets that need provable history. For each, what it does, the benefit it produces, and how that plays out:
A shared, tamper-evident record of where a product or component has been, written by each handler as custody changes. Benefit — origin and recall traceability in seconds instead of days, with no single party owning the record.
For example, a food or pharma recall that once meant phoning every supplier to reconstruct a paper trail becomes a single query that returns the affected lots immediately — so the blast radius is contained in minutes, not days.
Representing an asset — a loyalty point, a fund unit, a certificate, a real-world claim — as a token with programmable rules and an auditable ledger. Benefit — faster settlement and a single source of truth, without manual reconciliation.
For example, a loyalty balance that today lives in three disconnected systems becomes one tokenized record both the brand and its partners read from — so a point earned in one place is spendable in another without a nightly batch job to reconcile.
On-chain transfer and settlement rails, integrated with the off-chain accounting and compliance systems a business already runs. Benefit — value that settles directly between parties, cutting intermediary delay and cost.
For example, a cross-party payment that traditionally clears through several correspondents over days settles against a shared ledger far faster — the kind of compression banks have already reported in trade finance (see Measured impact).
Business logic — escrow, royalty splits, vesting, conditional release — executed automatically and identically for every party from agreed code. Benefit — fewer disputes and less manual processing, because the agreement enforces itself.
For example, a revenue-share that once required an accountant to calculate and a counterparty to trust pays out automatically when the on-chain condition is met — removing both the delay and the argument.
Anchoring a hash of a document, credential, or audit log on-chain so its integrity can be proven later without exposing its contents. Benefit — provable authenticity and tamper-evidence at low cost.
For example, a certificate or compliance record can be verified as unaltered by anyone holding it, without trusting the issuer’s database to still exist or be honest — useful exactly where an audit trail must outlive the system that produced it.
We deliver the blockchain engineering — the application, contract, and integration layers — and integrate with the chain or network you choose. We do not operate validators, custody assets, or sell you a token. The scope below is what we actually build.
We pressure-test whether your problem genuinely needs a blockchain or whether a database serves it better, faster, and cheaper — and we’ll say so plainly. This runs the same way as our broader custom software discovery, with the honest no-build recommendation included.
We write the on-chain logic — escrow, tokens, access rules, settlement — and treat it like the financial code it is: comprehensive test suites, deterministic test networks, and a documented threat model before anything touches a live chain.
We build the application layer your users and systems actually touch — web and in-app interfaces, wallet connection, and the read/write APIs over the chain — engineered like any production web application, not a demo.
We connect the ledger to the systems your business already runs — payments, identity, ERP, databases — through indexers, oracles, and event pipelines, typically as part of a microservices architecture so on-chain and off-chain state stay consistent.
Where the use case calls for it, we model the token or asset representation and wire it into existing accounting, reconciliation, and compliance flows — the same payments and transaction engineering described in Proof, applied to an on-chain ledger.
Contracts get an internal security review against known vulnerability classes (re-entrancy, access control, integer and oracle failure modes) before deployment; we coordinate a third-party audit for anything handling real value. We ship behind a staged rollout and instrument the system after, as part of our DevSecOps practice.
What you get when you hire us — all assigned to you under full work-for-hire IP
The same delivery model behind all our software engineering work, applied to on-chain systems — one accountable lead, fixed scope, no handoffs.
Establish whether the problem genuinely needs a blockchain, which chain or network fits, and what “done” means — including an honest “don’t build this on-chain”.
Output: a fit decision, a target architecture & the metrics
Model the contracts, the token or data schema, and the on-chain/off-chain boundary; choose the network on requirements, not on hype.
Output: a contract design, a threat model & an integration plan
Develop contracts and the application layer in your own environment, with full coverage on deterministic test networks and an internal security pass against known vulnerability classes.
Output: tested contracts, a working dApp & the integration layer
Coordinate a third-party audit where real value is at stake, then a staged rollout to production with monitoring in place.
Output: a deployed system, an audit on record & a trained team
Fixed scope, one accountable lead, full IP assignment signed at kickoff — timelines set explicitly in scoping, never a generic promise.
Let’s be direct, because it’s the basis you’d hire us on. Silicon Prime has not shipped a public blockchain product, and we don’t claim a portfolio of audited on-chain contracts or named-protocol specialization. A blockchain “development company” that implies otherwise without naming the work is exactly the kind of vendor that produces the 90% of projects Gartner expected to be scrapped.
What we bring instead is the engineering discipline these systems actually demand — and adjacent work that is directly relevant, labeled plainly as adjacent, never as a blockchain case:
Silicon Prime is a Stanford-rooted Responsible AI and software-engineering lab, founded in 2011, run by founder Kelvin Tran — 20+ years of production engineering, personally accountable for every engagement. The same accountability means we’ll tell you when blockchain is the wrong answer for your problem, which a vendor paid to ship a chain won’t.
We scope for fit before we build. The most valuable thing we’ll tell some buyers is that they don’t need a blockchain at all. That honesty is the difference between a system that lasts and one that joins Gartner’s 90%.
Financial-code discipline. Immutable, value-bearing contracts demand the same test rigor and pre-release review behind our zero-critical-defect production record — not demo-grade code with a deploy button.
The integration is the hard part, and it’s our core craft. Bridging an on-chain ledger to off-chain payments, identity, and data is full-stack engineering — exactly what we’ve done for marketplaces and enterprises for over a decade.
Founder-led, and built to transfer. One accountable lead, no handoffs; contracts, code, and runbooks are assigned to you, with your team trained to operate the system when we step back.
Settlement, tokenized assets, and auditable transaction records, integrated with the compliance and reconciliation systems you already run. Fintech software →
Multi-party provenance and traceability, where no single participant should own the shared record.
Programmable settlement and escrow between parties, built on the same transaction-infrastructure engineering behind our marketplace work.
What teams want to know before they begin a blockchain development project.
Often a database is the better answer, and we’ll tell you when it is. Blockchain earns its place only when multiple parties who don’t fully trust each other must share one record, when an asset needs provable history, or when value has to settle without an intermediary. If your problem isn’t that shape, a shared database is faster, cheaper, and easier to operate — and we’d rather scope you out of an on-chain build than ship one you’ll replace. That honest fit call is the first stage of every engagement.
Not as a shipped public product — and we won’t pretend otherwise. Silicon Prime has no portfolio of audited on-chain contracts or named-protocol specialization. What we bring is the engineering these systems require: we built the payments and transaction infrastructure for YardClub ($120M+ processed, acquired by Caterpillar), and we hold a four-year, zero-critical-defect production record with BJ’s Restaurants. Both are adjacent — not blockchain projects — and we label them that way. If you need a firm with a deep public on-chain track record, we’ll say so.
Whichever fits the requirements we establish in scoping — public or permissioned — chosen on your constraints around cost, throughput, privacy, and who needs to participate, never on hype. Because the application and integration layers sit behind clear interfaces, the chain choice is an engineering decision we justify to you, not a fashion we follow.
We treat contracts as financial code: comprehensive test suites on deterministic test networks, a documented threat model, and an internal review against known vulnerability classes (re-entrancy, access control, integer and oracle failure modes) before anything reaches a live chain. For anything handling real value we coordinate a third-party audit — we manage that external review rather than presenting ourselves as the auditor — because immutable code with a bug is a loss you can’t roll back.
You do — completely. Contracts, dApp code, the integration layer, the test suite, and the threat model all transfer under full work-for-hire IP assignment signed at kickoff, and your team is trained to operate and extend the system. There is no lock-in to us and no token or platform you have to keep paying into.
The system is built in your own environment under your access controls, integrations use scoped and permissioned connections, and every engagement starts with an NDA and a security review. We document every on-chain/off-chain data path so your team and compliance function can verify rather than trust — and in regulated settings we keep on-chain data minimal, anchoring hashes rather than exposing records. See our cybersecurity services for how that’s structured.
Cost and timeline depend on contract complexity and, critically, the external audit cycle for value-bearing systems — so we set both explicitly in scoping rather than quoting a generic number. The engagement runs on fixed scope with one accountable lead; our AI development cost guide explains how we price software builds, and a 30-minute scoping call gets you a real range for yours.
Thirty minutes · No pitch deck
Bring the problem — we’ll tell you honestly whether it needs a blockchain at all, what it would take to build properly, and what it costs. If a database is the right answer, that’s the call we’ll make.