Engineering-First. Code-First. Built for Financial Systems.
Engineers who build systems where speed and correctness both matter, and use modern tools, AI included, to ship them faster.
Kasi Kalidindi
I'm Kasi Kalidindi, founder of HD Labs. For 20+ years I've built systems where speed and correctness both matter: at Sun Microsystems; at Comstock, later Interactive Data, where I worked on the market data aggregation and resale platform; at the New York Stock Exchange, where I worked on market data and proprietary data systems; and at Yahoo Finance.
Since then I've built payment, credit-card and blockchain platforms for startups and financial firms. Same lesson every time: a system is only as good as what it does on its worst day.
HD Labs brings that discipline to startups and financial firms. Every project has a senior engineer setting the architecture and reviewing what ships, and you talk to the people building it.
Building something hard? Let's talk it through.
Talk to UsWe Write the Code. We Own the Outcome.
At HD Labs, engineering judgment is the product, and what we deliver is running systems: documented, tested and maintainable.
Our philosophy is simple: understand the problem deeply, design the simplest system that solves it correctly, and use every tool available to build it faster. Right now, AI tools are the most powerful lever we've ever had. We use them deliberately.
Why “HD”? HD Labs stands for Heuristic Deterministic. Heuristic: judgment, experience and AI for the problems that have no single right answer. Deterministic: systems that give the same correct result every time, because that’s what money needs. We use each where it belongs.
We write code that runs in production environments with real users. Not demos. Not POCs with no test coverage. Deliverable = deployable.
AI accelerates our work. It doesn't replace engineering judgment. Every architectural decision is made by a human who has done this before.
We stay in our lanes: capital markets, financial services and banking, and enterprise systems. Deep expertise in a few areas beats a long list of services.
If a timeline is unrealistic, we'll say so. If a technology is wrong for the problem, we'll say that too. You hire us for honest engineering, not comfortable answers.
// hdlabs.engineering.ts
class HDLabsEngineer {
readonly approach = 'code-first';
readonly aiTools = [
'Claude',
'Copilot',
'Cursor'
];
async deliver(project: Project): Promise<ShippedSystem> {
const scope = await this.defineScope(project);
const arch = await this.architect(scope);
const code = await this.buildWithAI(arch);
return this.ship(code);
}
private async buildWithAI(arch: Architecture) {
// AI as force multiplier, not replacement
const speed = this.aiTools.reduce(
(acc, tool) => acc * 1.4, 1
);
return this.write(arch, {
speed,
quality: 'high'
});
}
}AI Is How We Work. Not What We Sell.
We don't pitch AI as a product feature. It's how our engineers work every day. Here's what that actually looks like.
Coding
Claude and GitHub Copilot handle scaffolding, pattern implementations, and routine code. Engineers set the architecture, review every suggestion, and own what ships. Every piece of AI-generated code is reviewed by a senior engineer before it ships.
Architecture
When exploring design options, we use AI to rapidly draft and critique alternatives. It surfaces trade-offs we might miss and validates patterns against known anti-patterns. The final decision is always ours.
Testing
Automated test generation raises our coverage baseline, and we still write critical-path tests by hand. Together, that means more test coverage in less time.
Documentation
AI generates first drafts of technical documentation from code and comments. Engineers edit, expand, and validate. Clients receive documentation that's accurate because it came from the code itself.
From First Call to Shipped System
One lean team that scopes, builds and delivers, start to finish.
Week 1 — Scope & Architecture
We begin with a focused technical discovery: your stack, your constraints, your actual deadline. Within a week you have a written scope, a proposed architecture, and a timeline we'll hold ourselves to.
Weeks 2–N — AI-Accelerated Build
We ship in tight weekly cycles with working code in your repo from day one. AI tools compress routine work so senior engineering time goes toward architecture, edge cases, and correctness — not boilerplate.
Handoff — Documented & Deployable
Every engagement ends with production-ready code, test coverage, and documentation that your team can actually maintain. We don't disappear after deployment — we stay available through a structured transition window.
Ongoing — On Your Terms
After handoff, clients can retain us for a defined monthly hours block — for new features, incident support, or a second opinion on architectural decisions. No retainer minimums that don't match what you actually need.
Work with engineers who ship.
We take on a limited number of projects to maintain quality. If you have a complex system to build, let's talk.