Klutch AI Raises $8 Million to Bring Intelligent Agents and Workflow Automation to Construction Teams

Klutch AI Launches with $8 Million Seed Funding to Streamline Construction Workflows

Klutch AI has stepped out of stealth mode, announcing its public launch along with $8 million in seed funding. The round was led by Bain Capital Ventures and Bling Capital, with support from Brick & Mortar Ventures, Original Capital, Anthology Fund, and angel investors from Autodesk and BuildZoom. These funds will accelerate the development of workflow automation and integrations with key construction tools.

Construction projects often face costly delays and rework caused by communication gaps between onsite teams and office staff. Despite widespread use of project management software, an estimated 96% of construction data goes unused. Project managers spend hours on manual data entry, while critical decisions are hindered by fragmented information.

Klutch AI addresses these challenges by embedding AI agents that automate essential tasks such as permit review, takeoffs, estimates, jobsite documentation, and vendor coordination. This automation reduces manual workload and improves project outcomes by ensuring timely, accurate data flow.

Beyond Basic AI Copilots: Intelligent Agents for End-to-End Construction Management

Unlike typical AI copilots powered by GPT, Klutch’s agents manage entire workflows and provide advanced analytics. They gather jobsite updates, identify issues, and extract vendor insights from photos, texts, calls, and emails. These agents can be deployed as a full construction management platform or integrated into existing systems.

Construction teams using Klutch save over 10 hours each week, while accessing higher-quality data that supports smarter decisions at every project stage. Early users report faster project timelines, less manual work, fewer site visits, and risk reduction worth millions.

Key AI Agents Offered by Klutch

• Archie AI: Automates zoning and permit review for architectural planning.
• Bob AI: Captures 10 times more jobsite data—photos, punch lists, safety issues—in a fraction of the time using SMS and WhatsApp.
• Petra AI: Handles takeoffs, estimates, bid leveling, and vendor scoring for procurement.
• Hailey AI: Manages work tickets and links issues to vendor performance, enhancing homeowner experience.
• Custom Workflows: Builds agents tailored to specific business processes.

Founders with Construction and Tech Experience

Klutch was founded by Xu Rui (CEO) and Tanin Na Nakorn (CTO). Xu Rui’s experience ranges from growing up on construction sites to running a real estate investment company, where she saw how field teams rely heavily on photos and messages while office tools advanced. Both founders previously led machine learning and analytics projects at Stripe, recognizing a clear opportunity to bring intelligent workflows to construction.

Xu Rui sums it up: “The future of construction isn’t forcing field teams to adopt complex software — it’s AI that works within their existing habits. Our early customers are capturing 10 times more jobsite data, saving hours on repetitive tasks, and making faster, data-driven decisions. With this funding, we’re building an AI workforce that transforms how projects get done, one workflow at a time.”

Investor Perspectives

Kevin Zhang, Partner at Bain Capital Ventures, highlights the scale of the opportunity: “Construction is one of the largest, least-digitized sectors in the economy. Xu Rui’s hands-on experience in property management and strong product vision position her to transform this untapped market.”

Ben Ling, Founder & General Partner at Bling Capital, adds, “There are many legacy point solutions in construction. With AI advances, there’s a chance to build a compound startup. We’ve backed companies like Rippling and Palantir early on and are excited to support Klutch in the $2 trillion construction market.”

For construction professionals interested in how AI can improve workflows and data utilization, Klutch AI’s approach offers practical automation built for field realities.