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Dista is a Milpitas, California-based software company that provides an artificial intelligence-enabled location intelligence platform for enterprise field force automation, delivery management, and ride-sharing operations. The enterprise software-as-a-service platform helps corporate clients optimize their location-based operations, supply chain logistics, and field sales management through proprietary machine learning algorithms. While specific financial metrics and user counts remain undisclosed, the organization secured its second technology patent in 2023 for an artificial intelligence-powered location clustering method. To expand its enterprise distribution channels, the company launched its primary field sales management software directly on the Google Cloud Marketplace. This strategic integration allows the firm to target multinational organizations operating across the retail, healthcare, and logistics sectors. The company was originally founded as Dista Technology Private Limited in Pune, India, in 2020 by co-founders Deepak Krishna Garg, Nishant Kumar, and Shishir Shamsundar Gokhale.
Dista has raised $1.0M across 1 funding round.
Dista has raised $1.0M in total across 1 funding round.
Dista has raised $1.0M in total across 1 funding round.
Dista's investors include Pentathlon Ventures, Core91.
Dista has raised $1.0M across 1 funding round. Most recently, it raised $1.0M Seed in December 2021.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Dec 1, 2021 | $1M Seed | Pentathlon Ventures | Core91 | Announced |
Dista is an AI-enabled location intelligence platform that empowers large enterprises to leverage location data for strategic decision-making, field operations optimization, sales enhancement, service delivery, and logistics.[1][2][3] Headquartered in Pune, India, with a US presence in Princeton, NJ, Dista offers a patented low-code/no-code suite of products—including Dista Sales, Collect, Service, Deliver, and Insight—that provide maps-based visualization, geospatial analytics, intelligent scheduling, territory management, and performance tracking to boost efficiency and growth.[1][3][4] Serving over 50 enterprise customers in sectors like financial services and supply chain, it focuses on field sales, debt collection, service management, delivery orchestration, and market expansion, with backing from Google Maps Platform.[3][5]
Dista Technology Pvt. Ltd. was founded in 2017 in Pune, Maharashtra, India, as a private software company specializing in GIS, spatial analytics, and emerging technologies.[2][4] Emerging from the need for enterprises to operationalize location data, Dista quickly positioned itself as a customizable platform backed by Google Maps, enabling businesses to improve customer experiences and scale operations.[4] Key milestones include achieving ISO 27001:2013 certification in 2022 for information security, expanding US operations to a new office in Princeton, NJ that same year, and growing to 51-200 employees while serving global enterprises.[2][4]
Dista rides the wave of AI-driven geospatial analytics and location intelligence, a trend fueled by the explosion of real-time location data from IoT, GNSS, and sensors, enabling enterprises to transform raw geo-data into actionable insights for sales, logistics, and services.[2][3] Timing aligns with post-pandemic supply chain disruptions and field operation digitization, where market forces like e-commerce growth, last-mile delivery demands, and regulatory compliance (e.g., RBI for collections) amplify demand.[3] By providing low-code tools for micromarket mapping and workload balancing, Dista influences the ecosystem as a Google Cloud partner, helping enterprises in India and globally scale efficiently amid rising infrastructure analytics needs.[5]
Dista is poised for accelerated expansion as location intelligence becomes integral to AI ecosystems, with potential growth in emerging sectors like autonomous logistics and smart cities. Trends such as advanced earth observation integration and frontier tech will shape its trajectory, likely driving more global partnerships and product innovations in predictive analytics. Its influence may evolve from operational optimizer to strategic growth enabler, solidifying its role as enterprises increasingly prioritize geo-data for competitive edges—echoing its core mission to make location intelligence the "North Star" for business decisions.[1]
