Loading organizations...
Procense is the first industrial automation platform designed specifically for personal care and chemical manufacturing, combining AI-powered software with plug-and-play IoT sensors.
Procense.ai has raised $2.0M across 1 funding round.
Procense.ai has raised $2.0M in total across 1 funding round.
Procense.ai has raised $2.0M across 1 funding round. Most recently, it raised $2.0M Seed in September 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Sep 1, 2025 | $2M Seed | Kevin Mahaffey, HighSage Ventures | Inovia Capital, SNR | Announced |
Procense.ai has raised $2.0M in total across 1 funding round.
Procense.ai's investors include Kevin Mahaffey, HighSage Ventures, iNovia Capital, SNR.
Procense.ai is an industrial automation startup building the first AI-powered platform tailored for personal care and chemical manufacturing. It combines plug-and-play IoT sensors with cloud-based software to digitize production processes, capture real-time data, and optimize yield, compliance, and cycle times without lengthy IT setups or hardware overhauls.[1][2] The platform serves regulated manufacturers like Dr. Squatch, replacing paper-based systems and legacy ERPs with automated traceability, intelligent forms, and AI-driven insights—delivering 50x faster deployment, 15%+ cycle time improvements, and zero manual data entry errors.[2][3] Early traction includes a $1.5 million seed round in September 2025, fueling team expansion and AI enhancements like LLM-powered digitization and process optimization agents.[3][4]
Procense was co-founded by Nirat Keswani, who serves as CEO, though specific details on additional founders or their prior backgrounds are not detailed in available sources.[3] The idea emerged to address the underserved needs of personal care and chemical facilities, which rely on paper, spreadsheets, and manual processes despite complex regulations—modernizing an industry left behind by generic ERPs.[1][2] A pivotal moment came with early customer adoption, such as Dr. Squatch, where Procense's sensors and platform cut cycle times by 10% per batch by automating data collection and compliance.[3] The company raised $1.5 million in seed funding on September 10, 2025, led by investor Kevin Mahaffey (Business Insider's #1 seed investor of 2025) and HighSage Ventures, a Boston family office focused on software and tech.[3][4] This capital validates their mission and accelerates development of an AI-native platform.[3]
Procense stands out in industrial automation through purpose-built features for regulated, non-discrete manufacturing:
Procense rides the wave of AI-driven industrial digitization in process manufacturing, a sector lagging in IIoT adoption due to regulations and legacy reliance on paper/manual methods.[1][2] Timing is ideal amid rising demands for real-time visibility and predictive insights in a post-pandemic supply chain era, where inefficiencies cost manufacturers dearly—Procense's quick-deploy model bridges this gap faster than incumbents.[3] Market forces like FDA compliance pressures and AI advancements (e.g., LLMs for automation) favor them, enabling scalability from personal care/chemicals to all process industries.[2] By providing a foundation for AI applications like anomaly detection and optimization, Procense influences the ecosystem, empowering giants like Dr. Squatch to boost OEE and paving the way for broader manufacturing AI transformation.[3]
Procense is poised to disrupt regulated manufacturing with its seed-funded momentum, expanding AI agents for adaptive optimization and targeting full process industry coverage.[2][3] Trends like edge AI, 5G IIoT, and regulatory digitization will accelerate growth, potentially yielding more customer wins and metrics like Dr. Squatch's 10% cycle gains.[3] Influence may evolve from niche modernizer to end-to-end platform leader, as intelligent software replaces manual configs—watch for Series A and enterprise pilots amid underserved market demand.[3] This positions Procense as a high-potential bet in AI-industrial convergence, echoing its rapid seed validation.