Real-Time Reliability for Revenue: Turning Streaming Data Into Business Assurance

In every digital business, revenue depends on trust. When production systems drift or break, the first symptom often shows up in the data long before an outage ticket. The teams that catch those signals quickly protect revenue and customer experience; the teams that miss them pay twice, in incident cost and reputation.

Suvodeep Pyne, a Staff Software Engineer II at StarTree Inc., built ThirdEye to turn raw telemetry into continuous assurance. A Fellow at the BCS, The Chartered Institute for IT, Pyne grounds the work in a simple principle: reliability is a product feature rather than a back-office function.

From Detection Windows to Business Windows

The economics of reliability are now measurable at the executive level. Recent global benchmarks place the average financial impact of a data breach at $4.44 million, while industry analyses show that 54 percent of operators say their most recent significant outage exceeded $100,000 and 20 percent topped $1 million. Meanwhile, adversaries have shortened attack timelines as well; nearly one in five cases of data theft happens in under an hour. In that world, the difference between 60 and 6 minutes can be the difference between a blip and a board-level event.

ThirdEye is built around that clock. Pyne designed an always-on pipeline for Apache Pinot telemetry that schedules detection windows per signal, applies seasonal baselines and triggers root-cause workflows the moment drift exceeds policy. Operating at roughly 10 terabytes of data ingestion per day, the platform continuously monitors business-critical metrics such as ad revenue and clickstream performance for multiple Fortune 500 enterprises, including DoorDash, Razorpay, Robinhood and Just Eat Takeaway—forming a new revenue stream of more than $1 million for StarTree. The result is fewer false positives and faster time to triage for revenue-facing services at petabyte scale.

“Reliability you can’t measure is just hope. We designed ThirdEye so leaders see risk in minutes, not after the quarter closes,” notes Pyne.

Fraud and Transaction Integrity, Measured in Minutes

That risk posture meets the hard math of fraud. Consumers worldwide reported losses exceeding $12.5 billion in 2024, while merchants absorbed an average of $4.61 in total cost for every dollar of fraudulent activity. Industry surveys show that 79 percent of organizations encountered payment-fraud attempts during the same period. These are detection-window problems rather than reporting-window problems.

ThirdEye’s production outcomes translate those numbers into measurable results. At Razorpay, the platform reduced fraud detection time to under 10 minutes and cut annual losses by approximately $3 million, while Just Eat Takeaway saved about $2 million by triaging delivery-network issues across multiple countries and surfacing root causes that legacy monitors missed.

“Revenue observability earns its keep when it prevents silent failures. The test is simple: fewer surprises, faster fixes, measurable lift,” states Pyne.

Financial Networks at Real-Time Scale

That scale is not theoretical for the data plumbing behind modern finance. Recent research sizes global cross-border payments near 1 quadrillion dollars. Global inclusion data shows 42 percent of adults in low- and middle-income economies made digital merchant payments in 2024, up from 35 percent in 2021. Independent market analyses report global real-time transactions grew 42.2 percent year over year in 2023, pushing “instant” rails into mainstream settlement patterns. Reliability, explainability and speed now share the same budget line.

ThirdEye operates natively at that velocity. Robinhood monitors roughly 200 billion transactions per month with ThirdEye at terabyte scale to protect market integrity and customer trust. Under the hood, Pyne extended matrix-profile techniques for irregular data and authored IP for high-dimensional monitoring, reflected in his patent application titled “Alert monitoring of data based on recommended attribute values.”

“When money moves in milliseconds, your monitoring has to think in milliseconds too. The platform’s job is to spot drift, tell you why and point to the fix,” observes Pyne.

Workforce and Operations, Built for 24/7 Monitoring

Carrying real-time performance into day-to-day practice, operations now treat continuous monitoring as a first-class workload. The global market for observability software is projected to reach $2.9 billion by 2025. Analysts also estimate that 68 percent of enterprises now maintain dedicated observability teams, reflecting how continuous visibility has become essential to business reliability.

At StarTree, Pyne built ThirdEye with an operational mindset from day one. As the founding engineer, he cultivated a team of six and carved clear domains across backend, UI and model pipelines. He designed pluggable workflow modules so clients—from social platforms to e-commerce systems—could tailor anomaly detection to their unique data flows. He also forged tight feedback loops with customers to refine detection models, synchronize release schedules and ensure detection, alerting and investigation happen along a unified workflow that teams can run continuously.

“Great platforms reduce toil. Great reliability platforms reduce regret. ThirdEye was built to do both,” notes Pyne.

Looking Ahead — The Business Case for Always-On Insight

Flowing from operations to strategy, continuous monitoring is shifting from after-the-fact reporting to a real-time control surface for revenue and risk. Global payment flows are set to expand significantly this decade, with B2B transaction value projected to reach $224 trillion by 2030. That expansion raises the stakes for systems that can detect drift in seconds, explain it in context and route the right action before it compounds.

That is the direction of the work. Pyne’s most recent patent application, “Incomplete matrix profile-based anomaly detection in time series data,” advances detection on irregular datasets so real-world gaps do not become blind spots, reinforcing reliability as a product capability rather than an afterthought. As teams industrialize these practices, the organizations that treat real-time insight as an operating discipline will set the pace.

“We’re not chasing dashboards. We’re shipping business assurance. That’s the standard,” says Pyne.