Aurassure: Making Climate Risks Visible With Real-Time Hyperlocal Data

Discover how Aurassure's real-time data helps cities, insurers, and industries tackle pollution and climate threats.

Jun 12, 2025 - 11:00

Aurassure: Making Climate Risks Visible With Real-Time Hyperlocal Data

Key Takeaways

Aurassure deploys smart environmental sensors to generate hyperlocal, AI-powered climate insights.
With a presence in 165+ cities, Aurassure serves 75+ customers like Google, Jindal Steel, Tata Realty, Honeywell, LTI Mindtree etc. and government bodies through environmental organizations like ICLEI, Taru Leading Edge, Irade, etc.
The startup raised ₹4 crore in seed funding and aims to lead climate resilience in the Global South.

Founded in 2022 in Bhubaneswar, Aurassure was born from a deeply personal motivation. When founder Akanksha Priyadarshini's mother developed asthma after moving to Rourkela, the lack of environmental data shocked her.

This personal crisis revealed a systemic blind spot: India lacked localised, real-time data on pollution and climate risks. Akanksha, having grown up in varied environments across India and with experience in smart cities and IoT, set out to build a system that makes the invisible visible.

Climate Intelligence Infrastructure for Urban India

Aurassure builds and operates rugged, multi-parameter environmental sensors across urban India. These IoT nodes monitor PM2.5, PM10, NO₂, SO₂, CO₂, temperature, humidity, rainfall, and wind at hyperlocal scales. The real-time data along with satellite datasets are processed via AI models for predictive analytics, visualisations, alerts, and sector-specific insights. From city planners, developers, safety and environmental managers, project leads to insurers and researchers, Aurassure enables a shift from reactive to preventive climate planning.

What differentiates Aurassure is its ownership of both hardware and analytics. The company's edge-AI capabilities self-calibrate sensors to maintain accuracy, and its SaaS layer transforms data into actionable dashboards. Each sensor installation creates value across sectors, compounding its proprietary data advantage.

Customers, Market, and Expansion

Aurassure counts Google, Jindal Steel & Power, Honeywell, and the Indian Council of Medical Research among its partners. Its data powers climate resilience, employee heath and safety, operational planning, supports ESG compliance, development of sustainable smart cities and informs public health research.

With an estimated $6.5 billion TAM globally and a SOM of $600 million across India, Brazil, and Southeast Asia, Aurassure focuses on cities with populations over 100,000 and high climate risk. Its pricing model includes hardware sales and recurring SaaS subscriptions, making it scalable and adaptable.

Aurassure uses a "land and expand" strategy, beginning with pilots and expanding to multi-site deployments. The startup processes over 10 million data points monthly and has built one of India’s largest private air quality datasets.

Backing, Challenges, and Impact

Incubated at FTBI, NIT Rourkela and STPI Bhubaneswar, Aurassure has received support from Villgro, Startup Odisha, and MeitY. It raised ₹4 crore in seed funding from Unicorn India Ventures, enabling product development, certifications and business expansion to Brazil.

The biggest challenge? Convincing large institutions to trust a small team from a Tier-2 city. But successful deployments and 350% YoY growth have shifted perceptions.

Aurassure has won the Good Air Award (2024), CASCA 2025 recognition, and is Google's largest AQ partner for Air View+. Its sensors reduce blind spots in climate risk, guiding smarter infrastructure, insurance models, and health outcomes.

Looking Ahead

Short-term, Aurassure is expanding in Brazil and launching new products like flood risk maps and insurance APIs. Long-term, it aims to be the default climate resilience platform for the Global South by 2027.

"Choose a problem bold enough to matter for the next 50 years," says Priyadarshini. "Build with purpose, stay close to the problem, and let data be your compass."