Written by 5:49 am AI, Technology

### Enhancing Design and Landscaping Industries: AI Secures $7M for Technological Advancements

Attentive.ai, a startup building vertical software for landscaping and construction services in the…

Attentive, a startup focused on developing horizontal software for landscaping and design services in the United States, has secured \(7 million in new funding to enhance its AI-driven services and expand its reach to more businesses. This funding, part of the all-equity Series A round following a previous \)5 million seed round, was supported by Vertex Ventures Southeast Asia and India, with participation from existing investors like InfoEdge Ventures and Peak XV’s Surge, as well as Tenacity Ventures.

The core method employed in landscaping and outdoor services involves human measurements, encompassing labor and operational expenses. Businesses invest significant resources in estimating costs, materials, and project timelines before commencing work, often facing challenges such as inaccurate estimates leading to bidding discrepancies. With the real estate sector burgeoning, lawn care and outdoor service enterprises are seeking tech-driven solutions to streamline operations and reduce costs. Attentive.ai leverages computer vision and AI to address these needs effectively.

Established in April 2021 in Delaware with an office in Noida, India, Attentive.ai primarily targets North America, offering a comprehensive business management platform with AI-powered workflows tailored for vegetation and construction companies. Through Automeasure, the system automates site measurements, enabling swift and profitable bidding for exterior contracts. Renowned industry players like Juniper, U.S. Lawns, Beary Landscaping, Greenscape, Nanak, and East Coast Facilities already leverage this technology for services ranging from snow control to landscape design and facility maintenance.

Utilizing a Google Maps-like interface, Attentive.ai’s Automeasure tool facilitates property measurements for corporate, retail, and residential properties. Users can input specific addresses to determine property boundaries and manually upload blueprints in PDF format for accurate material calculations based on site dimensions. Moreover, the platform offers a dedicated on-site support app for real-time data access and geotagging capabilities to streamline operations.

In addition to Automeasure, Attentive.ai provides Accelerate, a cloud-based business management software tailored for vegetation and construction companies. This solution automates administrative tasks, sales processes, and production planning, offering features like live sales pipeline tracking and overtime alerts, compatible with drone and template flights for enhanced efficiency.

Attentive.ai, spearheaded by co-founder and CEO Shiva Dhawan alongside Rishabjit Singh (CTO) and Aishwarya Maurya (VP Product Strategy), aims to revolutionize the construction and outdoor service sectors through innovative software solutions that optimize sales and operations. With a recent shift towards construction operations utilizing Beam AI, the company targets contractors and suppliers in a market estimated at over $3 trillion, offering quick design estimates and quality assurance checks for user-generated plans.

Despite the presence of established players in the industry, Attentive.ai distinguishes itself through its AI-centric approach, leveraging computer vision expertise to drive technological advancements in the sector. The company plans to utilize the recent funding to expand its team, enhance product offerings, and bolster its presence in the U.S. market, with a focus on disrupting traditional industries through Vision AI technology.

With a strong customer base spanning over 500 businesses in the U.S. and Canada, generating an annual recurring revenue of $4 million, Attentive.ai aims to further enhance its branding and product portfolio to attract a broader clientele from landscaping, paving preservation, and construction sectors.

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Tags: , Last modified: February 8, 2024
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