Industries Digital Assets & Web3
On-chain approvals,built to run decentralized.
AI Engineering and software development for Web3 companies.
Exchanges, wallets, protocols, and tokenization platforms run against adversarial users, markets that never close, and a settlement layer nobody controls. We build the indexing, risk, and data infrastructure that makes an onchain product usable, along with the offchain systems it quietly depends on.
AllmarketsCrypto & Stock Trading Platform
A crypto and stock market portfolio tracking and trading platform, built end to end over three years. Forty exchanges normalized behind a single API, fifty million data points stored daily, and the charting, screening, and trading platform on top of them.
- 50M
- Data points stored daily
- 40
- Exchanges connected
- 1
- Single API
Why digital asset companiestrust us with delivery.
An unchecked approval, or a bridge assumption that only held on testnet, drains real balances in public, and the loss is final long before the postmortem starts. This is why we pay special attention to the most sensitive parts of the system.
Deployed code is the contract
Once bytecode is live it holds real balances, and there is no quiet patch. Whether a bug is fixable at all was settled months earlier, so invariants, audits, and the upgrade path are design decisions, not release checks.
The adversary reads your source
Everything about your protocol is public: the code, the mempool, the position about to be liquidated. Attacks here are economic before they are technical, so the design has to price them in from the start.
Chains disagree about the present
A support ticket about a vanished deposit usually traces back to an interface that treated a pending transaction as settled. Finality differs by chain and reorgs happen, so pending and final have to stay apart.
Custody is the entire trust model
Whoever holds the key holds the asset, and there is nobody to call when it goes wrong. Signing policy, MPC or multisig thresholds, and a recovery story that survives a lost device are the real product.
Regulation already arrived
MiCA, the Travel Rule, and sanctions screening at the address level landed while the industry was still arguing about whether they would. Compliance is a set of features with latency budgets now, not a legal appendix.
What Web3 demandsfrom engineering and AI.
01Indexing that keeps up with the chain
Nothing in a wallet or exchange interface reads from the chain directly; it reads from your pipeline. Reorg-safe ingestion, decoded event history, and sub-second queries are what the product's speed actually rests on, and they are the first thing to break when volume arrives.
02Risk scoring on a public graph
Every address carries its history in the open, and the only cheap moment to act on it is before a deposit clears. Clustering, exposure scoring, mixer and sanctions proximity, and anomaly detection turn that history into a decision made while it still costs nothing to make.
03Agents that transact under policy
Account abstraction and intent-based flows moved the hard part from signing to deciding: what an automated actor may do, up to what value, against which contracts. Simulation before signature, with hard policy limits around it, is what makes that autonomy safe enough to ship.
04Tokenization built for the back office
Issuing a real-world asset onchain is the easy half; whether the instrument is actually operable is decided by transfer restrictions, investor registries, corporate actions, and reconciliation against the offchain record. That work looks more like back-office finance than crypto, and it takes the same rigour.
Real-life stories of triumph.
Get In Touch
Nortik created a strong microservice architecture that handled over 50m data points daily, which led us to ultimately become the 3rd product of the day on Product Hunt.
Nortik’s Impact
Three years of end to end delivery: the crypto and stock market data infrastructure, and the web and mobile trading platform built on top of it.
Discover more of our insights.
Recent Posts
Fraud, KYC, and disputes: the unglamorous AI that pays for itself in fintech
Fintech AI headlines chase robo-advice and chatbots. The returns live in the back office: KYC document review, transaction enrichment, dispute handling, and fraud ops, with the audit trail regulators expect.
Why AI prototypes fail in production (and how to ship one that doesn't)
Most AI prototypes stall somewhere between the demo and the deploy. The problem is rarely the model. It's the evals, guardrails, and infrastructure nobody scoped.
The eval suite is the product: testing LLM features like an engineer
Prompt changes without a test harness are blind bets. How we build eval suites from real traffic, and why they outlive every model you'll ever swap in.
Frequently asked questions
Everything teams usually want to know before building onchain. Not here? Ask us directly.
We write them: Solidity on EVM chains and L2s, and Rust where the target calls for it, with invariants, fuzzing, and simulation as part of the build rather than a phase at the end.
We do not sign off on our own code. Anything holding value goes to a specialist audit firm before it ships, and we treat their findings as release-blocking.
Kite Network is the recent example: a plug and play bridge that carries a token from one chain to another over Axelar, with wallet connection, route selection, and an up front relayer gas quote, built end to end alongside their own engineers.
The EVM ecosystem and its rollups first, Solana where the product needs it, and the offchain half that most teams underestimate: indexers, RPC infrastructure, data pipelines, and the APIs your interface actually talks to.
Chain choice is usually the smallest decision in the architecture. What matters is how state is read, cached, and reconciled once the chain moves on.
We integrate with established custody and MPC providers rather than rolling our own key management, and we design the signing policy with your security team before anything touches mainnet: thresholds, limits, approval paths, and hardware boundaries.
Private keys never live in application code or a developer's environment. Where self-custody is the product, recovery is designed at the same time as the happy path.
Yes, but not by querying a node. It comes from a reorg-safe indexing pipeline with decoded history, materialised views for the queries your screens make, and caching that knows the difference between confirmed and pending.
In practice your product is exactly as fast and as correct as your indexer, so that is where the engineering goes.
We build address screening, exposure scoring, Travel Rule messaging, and the audit trail into the transaction path, working with the analytics providers you already use or helping you pick one.
We are engineers, not your compliance function. Your compliance team owns the policy; we make sure the system enforces it and can show that it did.
You do. Code, trained models, pipelines, and documentation are yours, along with the infrastructure access to run them without us.
We hand over a codebase your own team can pick up. Nothing we build is designed to keep you dependent on us.