CubeAPM, a bootstrapped observability startup, claims to cut enterprise monitoring costs by 60-80% compared to incumbents like Datadog and New Relic. Founded by Vineet Chirania and Vijay Aggarwal, the platform serves around 50 enterprise clients including Delhivery, RedBus, PolicyBazaar, Shadowfax, and Ola Group. CubeAPM reported an annual recurring revenue (ARR) nearing $1.5 million, growing 3-4 times in the past year while remaining profitable since inception, according to inc42.com.
The startup emerged from the founders' experiences with high monitoring bills at their previous companies. Chirania encountered unexpected cost spikes at Trainman due to additional custom metrics in Datadog, while Aggarwal faced similar challenges at BharatPe with New Relic. These issues around unpredictable costs, data residency, and dashboard latency motivated them to build CubeAPM, which keeps customer data within their own cloud environments and offers a more predictable pricing model.
CubeAPM enters a competitive market dominated by established players like Datadog and New Relic, which are known for high costs as applications scale. By focusing on affordability and data control, CubeAPM positions itself as a cost-effective alternative in the AI observability space. Its growth to $1.5 million ARR and a client roster of prominent enterprises highlights demand for more economical monitoring solutions amid rising telemetry data volumes.
CubeAPM’s current customer base includes major Indian enterprises such as Delhivery and Ola Group. The startup’s sustained profitability and rapid ARR growth underscore its traction in the observability market, which continues to expand as software complexity increases.