HDGE
We build the OS
hedge funds run on.
The problem we saw firsthand
Every growing hedge fund hits the same wall. You start with a spreadsheet and an API key. Then you need a backtesting engine, so you hire a quant developer. Then broker integrations, risk monitoring, audit logging, alerting. Suddenly you have 3–5 engineers spending 80% of their time on plumbing and 20% on alpha research.
The infrastructure costs $300–500K/year, takes 6–18 months to reach production, and when your lead engineer leaves, half the system becomes a black box.
We watched this happen at fund after fund. $50M funds that couldn’t afford the build. $200M funds that built it and regretted the maintenance burden. $500M funds running on duct-taped scripts that nobody dared to touch. The industry had no middle path.
For quantitative finance, that platform doesn’t exist yet. The current market is fragmented: a backtesting library here, a broker API wrapper there, a risk dashboard somewhere else. None of them talk to each other. None of them scale from paper trading to live capital without a full rewrite.
HDGE is the unified layer: research, risk, execution, AI orchestration, and compliance in one product.
Our thesis
The next 10,000 hedge funds won’t build their own infrastructure from scratch. They’ll buy an operating system. Shopify proved this for e-commerce. Stripe proved it for payments. Toast proved it for restaurants. Every industry eventually converges on a shared platform layer so that practitioners can focus on their actual craft.
Where we are today
Live in production. Active enterprise pilots with quantitative funds running multi-strategy, statistical arbitrage, momentum, and mean-reversion workflows.
6 broker adapters covering institutional prime brokers, crypto exchanges, and FIX Protocol connectivity. 5 LLM providers integrated as composable AI nodes.
Delaware incorporated. Strictly non-custodial by design: we never hold, transfer, or have withdrawal access to client capital. Credentials are encrypted at rest in an isolated vault. The platform runs 24/7 on a global edge network with sub-20ms dispatch latency.
Built by operators, not observers.
We didn’t study fund infrastructure from the outside. We lived it, broke things, rebuilt them, and eventually decided the whole approach was wrong.
Yacine Belaid
Co-founder & CTO at HDGEYacine has been building in startups and innovation since 2018. Over 7+ years, he shipped production systems where failure is expensive: serverless architectures that cut infrastructure costs by 99%, data pipelines that migrated 20 years of legacy data, fraud detection systems that saved $5M+, and identity and security projects for luxury brands and multinational enterprises.
In 2023, he joined an early-stage AI startup where he helped build one of the first agentic workflows on the market, contributing to a multi-million dollar valuation. That experience crystallized a pattern he’d seen at every company: brilliant teams burning months and millions rebuilding the same infrastructure from scratch, plumbing that should have been a solved problem.
At HDGE, he designed the entire platform from the ground up: a serverless edge runtime with sub-20ms dispatch latency, multi-LLM orchestration, and a non-custodial security model where client credentials never leave an encrypted vault. He writes the code that runs between a fund’s strategy and their broker.
Chahine Saibi
Co-founder & CEO at HDGEChahine has spent nearly a decade at the intersection of operations, capital, and product. He started in international business development in London, then moved into creative strategy in Paris where he built brand identities and learned how to make complex products feel clear. That design thinking still drives how HDGE presents itself to institutional buyers.
He then joined a Web3 venture as one of the first three employees. Over 3 years, he built the community from scratch, structured fundraising rounds (SAFT, investor coordination, KYC/KYB), designed the token economics, and helped scale the company to a $20M valuation. He learned how capital flows actually work, from term sheets to token launches, and what it takes to build trust with institutional investors when you’re starting from zero.
In 2025, he shifted to venture building, designing AI-driven trading systems and execution infrastructure from the ground up. That’s where HDGE was born: the realization that every fund was rebuilding the same operational stack from scratch, and that the market needed a platform, not another framework. Today he leads HDGE’s go-to-market, institutional partnerships, and sales across the US and Europe.
Talk to us directly.
Every demo is with a founder. 30 minutes — we’ll show you the platform, answer architecture questions, and scope a pilot.
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