What Pluvia.ai does

Pluvia.ai is a Singapore-based weather intelligence company that delivers hyper-local rainfall and flood forecasting through two API products—the Rainfall Prediction API and the Flood Prediction API—built on a common Weather & Climate Technology platform. Its forecasting stack combines physics-informed AI, machine learning, and deep learning with multi-source data inputs including X-band weather radars (six units deployed in Singapore via partner Furuno), street-level CCTV imagery processed through a proprietary VGG-based convolutional neural network, and opportunistic rainfall sensing derived from StarHub mobile base station signal variations. The platform produces 25 million weather forecasts daily and advertises accuracy claims of 3x over other providers, with a stated 65% accuracy for 30-minute nowcast predictions.

The company operates an API-first, direct-enterprise go-to-market motion with quote-based pricing for engagement; distribution is anchored on a self-serve developer dashboard (docs.pluvia.ai) supplemented by a 'Book a Demo' sales motion targeting government and enterprise buyers. Revenue streams span recurring subscription access to the APIs, usage-based API consumption, and ancillary advisory and consulting services for weather-driven solutions. Customer segments include on-demand services and ride-hailing (Gojek, Jago Coffee), asset and location management, construction, government and public safety, disaster response, and insurance.

Pluvia.ai is closely linked to H2i (Hydroinformatics Institute), its technology parent, which originated the underlying rainfall monitoring and nowcast systems beginning in 2016 for Singapore's PUB (National Water Agency). Strategic customer and partnership relationships include PUB (anchor government client across multiple project phases since 2018), Furuno Singapore (X-band radar supply), and StarHub (mobile signal-based rainfall sensing). The company is private, headquartered at 77 Science Park Drive in Singapore, operates with 11–50 employees, and has raised approximately $2.09M across four disclosed funding rounds between 2020 and 2024. Compliance posture covers GDPR, PIPEDA, and PDPA across Singapore, Malaysia, Indonesia, Thailand, Vietnam, and the Philippines.

Name

Pluvia.ai

Legal name

Pluvia

Website

https://pluvia.ai

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

11–50 employees

Short description

Pluvia.ai is a Singapore-based weather intelligence company that delivers hyper-local rainfall and flood forecasting via API products to enterprise and government clients across Southeast Asia, with anchor deployments including Singapore's PUB, Gojek, StarHub, and Furuno.

Ownership category

akta.pro rank

Product category

Weather Intelligence API

NAICS

Software Publishers (513210), Computer Systems Design and Related Services (54151)

SIC

Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)

akta.pro secondary industries

Supply Chain, Logistics & ETA Prediction (HDAAAHAF), Real-Time Monitoring & Smart Stormwater (Sensors, SCADA/IoT, RTC) (EUANAEAK), Flood Risk Modeling, Mapping & Forecasting (Hydrology/Hydraulics, Digital Twins) (EUANAEAH), AI/ML Engineering & Model Development Services (BPAEAHAF)

Keywords

• Weather prediction API
• Hyperlocal rainfall forecasting
• Flood prediction software
• Weather intelligence platform
• Nowcasting and historical data

Headquarters

HQ city

Singapore

HQ country

Singapore

HQ region

Asia

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

1. API Access Subscriptions: Pluvia generates revenue through API access subscriptions for weather intelligence data. Customers pay for access to Rainfall Prediction API and Flood Prediction API services, with different tiers potentially available for Nowcast, Forecast, and Historical Data access.
2. Usage-based API Consumption: Revenue is generated based on API usage for weather data integration, with flexible data formats available (detailed forecasts, simplified summaries, or raw data).
3. Advisory and Consulting Services: Pluvia offers advisory services including consulting and implementation support for weather-driven solutions across industries.

Go-to-market motion1 record

Distribution channels3 records

Marketing channels5 records

Core offering

Pluvia.ai provides AI-powered weather intelligence primarily through two API products: a Rainfall Prediction API (offering 0–6 hour nowcasts, 7–10 day forecasts, and historical rainfall data) and a Flood Prediction API (delivering early warnings and real-time flood risk data using hydrological models and machine learning). Both APIs are built on a proprietary physics-informed AI platform that integrates X-band radar, CCTV computer vision, mobile signal-based sensing, and trusted meteorological sources to serve enterprise and government clients across Southeast Asia.

Product overview

Pluvia.ai is a weather intelligence platform offering AI-powered weather forecasting solutions primarily through two API products: the Rainfall Prediction API and the Flood Prediction API. Both APIs are built on a common Weather & Climate Technology platform that leverages physics-informed AI, machine learning, and hydrological models. The platform processes data from weather stations, satellite networks, rain gauges, and radar systems to deliver hyper-local, real-time weather insights. The products target diverse industries including on-demand services, ride-hailing, construction, government, insurance, and flood management, providing flexible data formats ranging from detailed forecasts to simplified summaries and raw data.

Differentiator

Problem solved

Functional benefit

Products and services

• Rainfall Prediction API Advanced Weather Prediction API delivering real-time and forecasted weather data including up-to-the-minute hyper-local rainfall predictions, instant updates for short-term forecasts (0–6 hours), and access to detailed past rainfall data for any location worldwide. Targets enterprises in agriculture, logistics, construction, on-demand services, ride-hailing, insurance, and government.
• Flood Prediction API Flood Prediction API providing early warnings and real-time flood risk data powered by cutting-edge hydrological models and machine learning, designed for easy integration and reliable performance for government agencies, insurers, and enterprises exposed to flood risk.
• Weather & Climate Technology platform Proprietary AI and machine learning platform combining advanced data modeling with trusted meteorological sources and real-time updates to deliver hyper-local weather intelligence across Southeast Asia; serves as the underlying technology powering Pluvia's APIs and advisory offerings.

Quantifiable outcome

• 3x more accurate weather forecasts compared to other providers
• +2 more outcomes

Named customers5 records

Segments6 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability5 records

Feature6 records

Partnerships

Six partnerships are on record, tiered core.

• StarHubcoreStrategic or Co-development Partner · 19 January 2022StarHub partnered with H2i to use mobile base stations as opportunistic rainfall sensors. The collaboration mines data on rain's impact on mobile signal strength to provide PUB with additional rainfall intensity measurements. This won PUB Global Innovative Challenge's 'Cost-effective Rainfall Monitoring' award from 57 applicants. The PoC was launched in Q2 2022 in Singapore's southwestern district.
• H2i (Hydroinformatics Institute)coreOthers · 1 June 2021H2i (Hydroinformatics Institute) is the parent company behind Pluvia.ai, developing the core technology including X-band radar rainfall monitoring systems, CCTV-based rainfall detection using Deep Learning, and mobile signal-based rainfall sensing. H2i has been working on rainfall detection and forecast systems since 2016.
• PUB (Singapore's National Water Agency)coreStrategic or Co-development Partner · 12 April 2021H2i collaborated with PUB on a 1.5-year R&D project (2019) investigating rainfall monitoring through street-level CCTV footage. Results were promising, leading to a scale-up project (April 2021 - October 2022) using 150 CCTVs across Singapore. The scale-up is supported by Singapore's National Research Foundation (NRF) under the Living Lab (Water) Scheme.
• PUB (Singapore's National Water Agency)coreStrategic or Co-development Partner · 1 February 2020PUB awarded H2i a follow-up project in February 2020 to enhance the rainfall forecasting system with three additional X-band radars and Machine Learning techniques. The project aims to improve accuracy of nowcast predictions for flash flood forecasting 30 minutes before heavy rain events.
• PUB (Singapore's National Water Agency)coreStrategic or Co-development Partner · 23 January 2020H2i (parent company of Pluvia) developed a smart rainfall prediction system for PUB combining X-band radar data, nowcast models, and machine learning. The system allows PUB to respond faster and more effectively to flash floods. In development since 2016, the system was completed in March 2019 and continues with follow-up projects.
• Furuno SingaporecoreTechnology or Integration · 31 December 2018Furuno Singapore supplies compact, cost-effective X-band weather radars for the rainfall monitoring system. Three radars were installed in Northern, Eastern, and Western Singapore in 2018, with three more added in 2020. Furuno radars scan the sky every 2 minutes to provide near real-time, high-resolution rainfall data.

Scale indicators4 records

Recent moves6 records

Expansion highlights5 records

Broad incumbents

• DTN: Large established weather data provider serving agriculture, energy, transportation, and construction with operational forecasts and insights. Comparable to Pluvia in target verticals but with broader geographic reach and more comprehensive product suite.
• AccuWeather: Established weather forecasting company providing data, APIs, and enterprise solutions across multiple industries. Comparable to Pluvia through enterprise weather data services, though its accuracy claims for hyperlocal tropical regions are less specialized.
• IBM (The Weather Company): Operates one of the world's largest weather data platforms, providing forecasts and APIs to enterprise and government clients globally. Comparable through API-first weather data delivery but operates at vastly larger scale and broader geographic coverage than Pluvia.

Emerging players

• Earth Networks: Operates a global weather observation network including lightning detection and weather stations, providing real-time and forecast data. Comparable to Pluvia through its proprietary sensor network approach and enterprise weather data delivery.
• Jupiter Intelligence: Provides climate risk analytics and flood prediction for infrastructure, insurance, and government clients. Comparable to Pluvia's Flood Prediction API and government-facing flood early warning systems, though Jupiter focuses more on long-term climate risk than operational nowcasting.
• Climavision: Operates a proprietary network of weather radar stations combined with AI/ML models for high-resolution forecasting. Comparable to Pluvia's X-band radar infrastructure and nowcasting approach, with similar focus on filling gaps in existing weather observation networks.

Direct peers

• Visual Crossing Corporation: Provides weather data APIs including historical, forecast, and real-time data for enterprise integration. Comparable to Pluvia's API-first weather data delivery model, though Visual Crossing focuses more on historical data analytics than hyperlocal nowcasting.
• Tomorrow.io: Direct competitor offering a weather intelligence API platform with hyperlocal forecasting and nowcasting capabilities. Serves enterprise and government clients across multiple industries with API-first delivery, making it the closest comparable to Pluvia.ai's offering, though Tomorrow.io operates globally rather than regionally.
• OpenWeather: Provides weather data APIs including current, forecast, and historical data, with both free and paid tiers. Comparable to Pluvia's Rainfall Prediction API in core functionality, though OpenWeather's coverage is global and its predictive accuracy level for hyperlocal tropical forecasting is less differentiated.
• StormGeo: Provides weather intelligence and decision-support services to shipping, energy, and aviation industries. Comparable to Pluvia's enterprise weather intelligence focus, though StormGeo has stronger penetration in maritime and offshore sectors rather than tropical government markets.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks7 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/pluvia-ai

Compliance3 records

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds4 records

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Pluvia.ai