Custom Software Engineering & Support
We study the workflow before writing a line of code — then design, build, and integrate software that fits how your firm actually operates, and we stand behind it long after launch.
Invand is a software engineering team that came out of the hedge-fund world. We design, build, and modernize the front-, middle-, and back-office systems financial firms depend on — engineered to be clear, supportable, and free of key-man risk.
We study the workflow before writing a line of code — then design, build, and integrate software that fits how your firm actually operates, and we stand behind it long after launch.
Risk and performance analytics, financial models, and data warehouses — delivered with Power BI, Python, and modern ML where it genuinely earns its place.
We re-architect legacy systems onto Azure-native platforms, designed for broad supportability so any qualified engineer can run them — not only the people who built them.
Experienced engineers and risk analysts who slot into your team for a sprint or a year — including fractional CTO and CRO capacity when you need senior judgment, not just hands.
Most failures in financial technology don't come from a single broken component. They come from the compounding interest of small, invisible risks — undocumented systems, knowledge locked in one person's head, decisions no one can trace. We build to make that risk visible and manageable.
Every engagement starts with the business workflow and an honest build-versus-buy conversation — not the assumption that more software is the answer.
We've sat on your side of the desk. Front office, middle office, back office — we speak the operations, not just the code.
Documented, standards-based systems a qualified engineer can pick up and run. No vendor lock-in, no key-man risk.
Compliance, auditability, and data protection are designed in from the first commit — because in this industry they're the requirement, not a feature.
We also build applied-AI capabilities — conversational data interfaces and LLM-assisted analysis — on the same privacy-first foundations.
Tell us about your firm and the problem you're trying to solve. We'll reply personally — usually within a business day.