The people who build your system run one of their own.
An AI systems company. We design and build the system and make every output traceable to its source. You own it either way; what varies is who operates it.
For teams whose work runs on information they cannot fully trust — prospect data, custodian files, settlements, documents spread across tools — we build the revenue and operations systems that turn that work into something the team can operate.
Unlike agencies that run it on their own accounts, platforms that sell you seats, or consultancies that sell you a recommendation, we build the system in your environment, make every output traceable to its source, and you keep all of it.
Two directions of work: systems for how a business wins revenue, and systems for how it runs. Two domains we have gone deep in: financial and investment firms, and commerce. Everything else arrives by referral, against a rule we publish.
An AI consultancy. An outbound agency. A software outsourcer. A dashboard studio. A finance consultancy. A firm that claims every industry and every size.
We would rather be the obvious answer to a narrow question than a plausible answer to a broad one.
What we build
Systems that show their work.
Built in your environment, on your data, under your accounts. Six kinds of system, each one a thing you are handed.
Your ICP as testable rules, run on data and live signals. Every account checked against its own site before anyone writes to it.
Continuous checks against a rule you define. Exceptions, not dashboards.
Answers from your own documents, every figure carrying its page.
Two or more sources matched line by line, with an exception queue.
Assembled from reconciled data and checked before they leave.
The repetitive path between tools, built once, with a record of every step.
You own it either way.
Principals, and no junior bench.
The person who scopes your system is the person who builds it, and is on the call when it misbehaves in production. You will not meet one team in the pitch and a different team in delivery.
We do not recommend anything we could not implement ourselves, and we start with the workflow rather than the tooling: what your team does at 9:05, what breaks at month-end, and what a wrong number costs.
- Ankush GoyalFounder. Engineering degree from IIT Roorkee. Product leadership at large consumer-technology companies. Ran a multi-channel commerce venture end to end — category evaluation, unit economics, advertising, operations and a self-built P&L. Builds and runs the research, monitoring and outreach systems this firm operates on its own account.
- EngineeringSystems and data engineering. A decade across enterprise data platforms, analytics and reporting infrastructure, now working on broker and market-data APIs, pipelines, reconciliation and the monitoring systems this firm runs on its own account. Builds the data foundation a system stands on, and the checks that tell you when it has moved. Named to clients under engagement.
We hire engineers and specialists in India, and take interns on real projects. Join OPSPHI · Partners, advisers and investors: Collaborate
Where we are, plainly
The systems described on this site run on our own account today. That is why every number on this site is one we measured rather than one a client let us publish — rejections included.
What we can show you instead: the systems themselves, measured on real data; a published method with real durations and prices; the failure cases we know about; and a first step that is fixed, paid and allowed to end in no.
We build systems our clients own. OPSPHI is not SEBI registered and does not provide investment advice, trading signals, recommendations, or portfolio or fund management.