The end of the consulting contract

For decades, building financial technology required a six to seven-figure statement of work, a retainer, a bench of consultants billed whether they produced or not, and change orders every time reality disagreed with the contract. That model is over.

Modulus delivers the same systems through Work Units: $399 each, one job description in, reviewed work back within 24 hours. An entire exchange is built the same way a single feature is, unit by unit, with no vendor lock-in, source code ransom, or minimum budget. You have the opportunity to evaluate us every single day with our completed work.

There is no SLA to worry about, because the protection is not based on contractual promises. As long as you hold an active Work Unit, Modulus is on the job, and support, maintenance, and upgrades are bought the same way the build was: by the unit, for as long as you need them.

• No long-term contract or vendor lock-in
• No time limit. Start, pause, resume any time
• Change orders are no longer a problem
• Support and maintenance provided via Work Units

Pre-built foundations across financial services

Modulus operates the world's largest privately owned fintech source-code repository, millions of lines of reusable, documented, patented, and production-proven source code. Combined with AI-accelerated delivery, that foundation lets Modulus ship at up to 10 times the speed of traditional software development.

• AI and large language model systems
• Banking and core banking platforms
• Multi-asset trading platforms
• Matching engines and order books
• Risk engines and pre-trade controls
• Real-world asset exchanges, spot and futures
• Carbon credit exchanges
• Prediction market platforms
• Crowdfunding platforms
• AI-powered investment advisory systems
• Financial engineering services
• Ultra high-performance computing and FPGA acceleration
• Market data and analytics terminals
• Regulatory compliance guidance across jurisdictions

Built to your budget, not our contract

Funding arrives in rounds and budgets arrive in quarters, but consulting contracts never cared. Work Units do. Scale capacity up before launch and down after. Pause when the budget pauses, and resume when time and money permit.

Nothing is lost in between. Your architecture, source code, context, and history are stored securely, so the next unit picks up exactly where the last one left off. Pausing costs nothing, which means the decision to build no longer has to wait for the decision to commit.

Trusted by the largest global institutions

Since 1997, Modulus has powered operations at international banks, financial institutions, brokerages, exchanges, payment processors, digital-asset platforms, hedge funds, and government agencies in more than 100 countries, reaching millions of traders. An estimated 30 percent of daily US equity market volume has been processed through Modulus systems, and significant portions of capital markets volume in countries such as India and Brazil have run through Modulus systems for nearly two decades.

Our clients include Nasdaq, JPMorgan Chase, Bank of America, Goldman Sachs, Merrill Lynch, BlackRock, UBS, HSBC, Citigroup, BNP Paribas, Fidelity, Questrade, Zerodha, Investopedia, TradeStation, cTrader, eToro, dozens of digital-asset exchanges (previously including BitMEX, FTX, and Celsius), and thousands of others. Modulus technology is also utilized by numerous prominent proprietary trading firms and hedge funds worldwide.

Recognized expertise in AI, HPC, and FinTech

Modulus expertise has been cited by Bloomberg, Reuters, Forbes, S&P Global, CIO Magazine, Business Insider, Yahoo Finance, the International Financial Law Review, Nasdaq, The History Channel, US News & World Report, Information Week, ETF Trends, MoneyWeek, IB Times, Benzinga, The Detroit Free Press, The Business Journals, Asia Times, Hacker Noon, and dozens of other regional and industry publications. Parade Magazine has described Modulus as "a globally recognized subject matter expert for more than two decades on AI and financial software development." Fox News has featured Modulus as a notable proponent of responsible AI regulation, alongside Congressman Ted Lieu and other industry leaders.

Modulus holds international patents in financial technology and AI, including foundational work on large language models. Modulus engineers have also provided editorial review for technology titles published by Wiley & Sons.

• 2015: NASA ISS real-time telemetry charting and display
• 2010: Cloud-based NLP for social-media stock prediction
• Founding member, American Society for Artificial Intelligence
• Awarded patents in fintech and large language models
• Featured in Bloomberg, Reuters, Forbes, S&P Global, CIO Magazine
• Editorial review for Wiley & Sons technology titles

Proofs of concept and MVPs

Validating a new product or accelerating time-to-market often requires a working prototype rather than a full custom build. Modulus delivers proofs of concept and minimum viable products on a foundation of proven SaaS products, enabling clients to demonstrate market traction before committing to a complete platform investment.

This approach provides the fastest path from concept to a working system, with no vendor lock-in and no revenue-share commitment. Typical builds include wealth and portfolio management platforms, dark pools and private liquidity venues, market-data and analytics terminals, and investor-ready prototypes for early-stage validation.

From first unit to final product

A full exchange build may still become a seven-figure project, but it no longer has to begin with a seven-figure commitment. Start with a specification, continue into architecture, move into development, add compliance workflows, connect market data, build admin tools, test, document, and scale into launch support, one Work Unit at a time. Some days require one unit, others may require multiple Work Units in parallel. The pace, spend, scope, and timing stay in your hands.

If you prefer human engineers without AI

Modulus engineered financial systems for nearly three decades before LLMs existed, and still does. If your firm prefers it, or if your policies restrict AI tooling, traditional engineering engagements are available, with AI tools limited or excluded entirely and your data-handling requirements honored. Scoped and quoted individually.

Those decades of mission-critical work cover enterprise financial software architecture, matching engines and exchange infrastructure, low-latency and high-frequency trading systems, risk, analytics, and post-trade platforms across every major asset class, and high-performance computing down to FPGA and ASIC engineering. The same team that builds with AI can build without it. Schedule a call to discuss details.