Mappls / MapmyIndia

Mappls markets a full location-technology stack spanning map data, maps/search/routing APIs and SDKs, GIS and analytics, IoT/telematics, workforce automation, navigation, and consumer products; it offers developer sign-up and contact-led enterprise buying paths.

The listed company identifies itself as C.E. Info Systems Limited, describes MapmyIndia as a B2B/B2B2C maps and geospatial SaaS/PaaS/MaaS provider, and names co-founders Rakesh Kumar Verma and Rashmi Verma, CEO Rohan Verma, and current senior leadership.

For FY26 the company reports INR 474.1 crore revenue from operations, a INR 1,754.4 crore open order book, 3,000+ B2B/B2B2C customers since inception, 1,150+ MaaS/SaaS/PaaS customers in FY26, and 1,460 workers split evenly between permanent and non-permanent staff. The presentation also shows fixed-price and volume-projection order models and names current enterprise/logistics go-lives and wins without naming most customers.

The FY26 results release says C.E. Info Systems pioneered digital mapping in India in 1995 and offers proprietary map data, APIs, GPS/IoT fleet management, logistics optimisation, workforce management, and coverage including global maps for more than 200 countries.

The official annual report discloses two contract approaches, fixed price and volume projections, and says payment can be annuity, per asset, per vehicle, per use case, per user, per API transaction, or subscription per device. It does not provide a public rate card or typical contract value.

The current product page documents autosuggest, nearby and text search, geocoding, reverse geocoding, place details, address standardisation, POI-along-route and geolocation. Address standardisation cleans, parses, normalises, validates administrative chains and populates missing values; geocoding returns coordinates plus resolution and confidence indicators.

The public developer documentation exposes a programmatic address-standardisation API; this is an API response capability and not proof that Mappls edits a merchant's order record or dispatches a shipment.

The documented GET endpoint converts an address into coordinates/eLoc, supports urban/rural bias and administrative-level filters, and requires the capability to be enabled in Mappls Console. Premium parameters are not included in evaluation sign-up and require API Support.

Mappls documents turn-by-turn navigation, car/truck/bike/pedestrian routing, predictive ETA distance matrices, snap-to-road, and vehicle-routing optimisation with capacity, time-window, priority and skill constraints. The service returns route plans and guidance; it does not itself prove courier booking, order dispatch or delivery completion.

The documented optimisation input accepts vehicles, jobs and pickup/delivery shipments and returns assigned vehicle routes, ordered job/pickup/delivery steps, ETAs, distance, cost, loads, waiting/service time, violations and unassigned tasks.

Workmate is a current workforce application for sales, service, delivery, drivers and surveys. It assigns tasks and trip tasks, plans and optimises daily routes, captures check-in/out and electronic proof of delivery, tracks staff, syncs offline work, supports manager reimbursement approvals, and sells a one-month/10-user free plan plus a custom enterprise plan with user-based licences.

Workmate's documented OAuth-based APIs connect existing systems to user, company configuration, client, task, attendance and location data. Access requires a Workmate account and API-support enablement.

RouteNet is marketed as a last-mile planning product that assigns orders and drivers to routes under delivery-window, priority, capacity, skill and service-time constraints. It claims up to 15% rural and 30% urban cost/delivery-time reduction, but provides no named customer, baseline, cohort, formula or measurement window for that claim.

The live hub presents 11 distinct named story cards: MG Motor India, Paytm, PhonePe, UMANG, Alexa/Amazon India, McDonald's India, EatFit, Bajaj Auto/Chetak, Maruti Suzuki, Nissan Motor India and Bajaj Finserv. The Maruti Suzuki link returned a Mappls 404 page at access time; the other ten resolved to qualitative deployment stories.

The vendor story says MG Motor India embeds Mappls Connected Navigation Suite with house-number maps, online/offline navigation, voice search, safety alerts and live traffic incidents. No quantified business outcome, baseline or measurement window is supplied.

Paytm's vendor-hosted story describes doorstep-level maps, reverse geocoding and autosuggest for delivery addresses, plus routes, live traffic and ETA used by delivery operations to match delivery people to orders. It says this reduces delivery time but supplies no measured value, baseline or timeframe.

The vendor story says PhonePe uses Maps SDK, POI data and routing to show nearby merchants and directions. It cites PhonePe's 17 million merchants and 300 million-plus users as customer scale, not Mappls-attributable outcomes; its body unexpectedly includes an unrelated MeitY/UMANG statement.

The story says the Government of India's UMANG app integrates Mappls Map APIs so citizens can find and navigate to nearby facilities including fair-price shops and mandis, and see lightning-strike areas. It provides no quantified outcome.

The story says Alexa natively calls Mappls location APIs for real-time nearby-place addresses and travel distance across Alexa-enabled devices, and includes a named Amazon India executive quotation. It supplies no Mappls-attributable quantified outcome.

McDonald's India uses Mappls maps, reverse geocoding, autosuggest, POI-along-route and routing for delivery address capture, outlet discovery and on-the-go pickup. A named former CIO describes the partnership as cost-effective and efficient, but no quantified outcome is given.

EatFit uses autosuggest and a pin-drop address picker, distance matrix to match orders to the nearest kitchen, and route optimisation using distance, ETA, fuel and custom factors. The page cites customer scale of 2 million-plus customers and 15-plus kitchens but no measured Mappls-attributable outcome.

The Bajaj Chetak app uses Mappls maps and nearby-place data for charging/service stations and Snap-to-Road for trip history. The story is qualitative and gives no outcome baseline or timeframe.

Nissan Motor India, IRSC and Mappls launched a crowdsourced blind-spot mapping and verification campaign. The story describes Mappls as the collection/map layer and gives a launch date, but no quantified safety outcome.

The page says Bajaj Finserv developers created a branded store locator using Mappls nearby-distance and directions plugins and uploaded store data, but it shifts between prospective 'aim to build' language and completed-integration language. No measured outcome is supplied.

Mappls publishes a partner-program surface, establishing an official route for ecosystem participation alongside direct developer and enterprise sales.

Mappls publishes general service terms; the retained public product documentation separately specifies credential enablement and IP/domain whitelisting. No public page found establishes merchant-configurable approval gates for route plans, address changes or shipment actions.

Mappls publishes a privacy policy for its services. The policy is not evidence of a public least-privilege action model or customer-visible agent trace system.

Developers can sign up and manage keys; allowed hits are plan-dependent and usage is pooled across web, Android and iOS. The page does not disclose numeric plan limits or prices.

A legacy official PDF describes an unnamed telecom company's cell-tower-triangulation platform integrated with MapmyIndia maps for field-force optimisation, asset tracking, trip reporting and expense computation. It gives no named customer or measured outcome.

A legacy official PDF describes geocoding loyalty-member addresses and combining them with store and demographic data for catchment, competition, merchandising and site-selection analysis for an unnamed retailer. It gives no quantified achieved outcome.

A legacy official PDF describes a cloud geo-marketing application integrated with an unnamed cement company's ERP to map sales hierarchy, outlets and sales representatives and analyse daily regional performance. No measured outcome is provided.

A legacy vendor PDF describes an unnamed automaker embedding MapmyIndia navigation in an SUV and separately claims more than 94% of the Indian automotive industry uses MapmyIndia navigation. The claim lacks a named reporting customer, denominator definition, baseline, formula and measurement date.

A legacy official PDF describes rural bus-fleet monitoring for an unnamed private operator, including distance/path verification, reports, alerts, route selection and geofencing. It provides no named customer or quantified outcome.