How Locale Validated a No-Code Ops Tool and Reached $650K ARR
Two former data consultants built a control tower for operations teams at physical businesses, validated it with paid pilots and lean prototyping, and grew it to $650K ARR across 33 countries.
Part of Indian SaaS builders
Business snapshot
Monthly revenue
≈₹79 lakh/mo
$83,333/mo · reported Sept 2022
- Business model
- SaaS
- Started
- Dec 2019
- Team
- 2 founders + 30 staff
- Based in
- Bengaluru, Karnataka, India
- Annual recurring revenue
- $650K
- Monthly revenue
- $83,333
- Countries with customers
- 33
- Data ingested daily
- 1.5 terabytes
- Team size
- 30
Tools
- Webflow
- Ghost
- Notion
- HubSpot
- Mapbox
- Fullstory
- Intercom
Founder-reported figures, not independently verified. ₹ amounts use the ECB reference rate rate of Oct 2026 (₹94.82/$).
Who built it, and what they built
Aditi Sinha is the co-founder of Locale, a SaaS control tower built for operations and data teams at physical businesses. The company is based in Bengaluru, Karnataka, India, started in December 2019, and has grown to a team of 30 with two co-founders.
Locale's customers span 33 countries and include large operations teams at companies such as a major beverage brand's Japan arm and several mobility and delivery businesses. The platform ingests about 1.5 terabytes of data daily and the business reports an ARR of $650K.
Where the idea came from
Before starting Locale, Aditi and co-founder Rishabh Jain worked as analysts at a data analytics consulting company. Their daily work involved finding insights that drove business outcomes for clients, and they kept noticing the same pattern: companies were hiring external analysts for work that sat at the core of their own operations.
They also saw that while functions like sales, marketing, and engineering had specialized software, operations teams did not. Ops teams depended on data and engineering colleagues for reporting, root cause analysis, and dashboards, and often firefought daily issues with ad-hoc responses, gut-feel decisions, and outdated tooling.
To test the hypothesis, the pair spoke with dozens of operations leaders across industries. The same refrain came up regardless of sector: things break in operations every single day. That repeated signal convinced them to build a product to make operations simpler.
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