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Seeq is a technology company.
Seeq delivers industrial analytics and AI software to drive operational excellence in process industries. Its platform analyzes complex time series data from industrial assets, enabling engineers to discover insights, diagnose issues, and predict performance. Its offering facilitates cleansing, contextualizing, and modeling operational data for improved decisions.
Founded in Seattle, Washington in 2013, Seeq was established by Steve Sliwa, Brian Parsonnet, Jon Peterson, and Mark Derbecker. The founders recognized a critical market need for specialized tools to effectively leverage the complex time series data inherent in industrial operations. Their insight was that process manufacturing companies required intuitive analytics to extract value from operational technology data, a challenge for traditional business intelligence.
Seeq's solutions serve diverse process industries like pharmaceuticals, chemicals, and oil and gas, empowering operational teams to optimize production and enhance asset reliability. The company envisions industrial organizations integrating and analyzing data for continuous improvement and innovation. Seeq aims to be the essential analytics layer transforming raw industrial data into actionable intelligence.
Seeq has raised $159.0M across 6 funding rounds.
Seeq has raised $159.0M in total across 6 funding rounds.
Seeq is a Seattle-based technology company specializing in advanced industrial analytics, AI, and enterprise monitoring software for process industries.[1][2][3] It builds a self-service SaaS platform that unlocks value from time-series data, serving engineers, analysts, data scientists, and executives in sectors like oil and gas, chemicals, pharmaceuticals, energy, utilities, mining, food and beverage, and manufacturing.[1][2][3][5] Seeq solves the challenge of high-volume, high-velocity industrial process data—such as time-series signals, events, and contextual information—by enabling rapid analysis, prediction, collaboration, and insight-sharing to boost operational efficiency, sustainability, and business outcomes like yield, margins, and quality.[1][2][3][5][6] The company demonstrates strong growth momentum, recognized as a Leader in the 2025 Verdantix Green Quadrant for Industrial AI Analytics for its innovation in data contextualization, process optimization, and machine learning, while backed by prominent investors including Insight Partners, Sixth Street Growth, Chevron Technology Ventures, and Saudi Aramco Energy Ventures.[2]
Seeq was founded in May 2013 by Steve Sliwa and an experienced team of executives, engineers, and data scientists with prior roles at OSIsoft, Honeywell, Microsoft, and Insitu.[1][3] The idea emerged from the need to accelerate analytics on complex industrial process data, which often requires extensive manipulation due to its volume, velocity, and variety, particularly in markets like oil refineries, pharmaceuticals, and energy production.[3] Early traction came from its focus on sophisticated yet user-friendly tools for time-series data investigation, establishing Seeq as a provider of industrial SaaS solutions.[1][2][4] Today, it operates as a fully remote global company led by CEO Dr. Lisa Graham, who drives scaling, revenue growth, and a high-performance culture.[1][3]
Seeq rides the wave of industrial AI and digital transformation in process manufacturing, where underutilized time-series data from sensors and operations hinders efficiency amid rising demands for sustainability and optimization.[1][2][6] Its timing aligns with the maturation of AI for industrial applications—evidenced by 2025 analyst leadership recognitions—capitalizing on market forces like energy transitions, supply chain pressures, and regulatory pushes for greener operations in oil/gas, chemicals, and renewables.[2] By enabling predictive analytics and collaborative insights, Seeq influences the ecosystem through its investor-backed expansion, partner network, and tools that standardize data-driven decisions, accelerating adoption of AI in heavy industries traditionally slow to digitize.[1][2][5]
Seeq is poised to expand its leadership in industrial AI analytics, leveraging generative AI advancements and enterprise monitoring to capture more market share in sustainability-focused sectors.[2][5] Trends like AI democratization for non-data experts, edge-to-cloud data integration, and global net-zero mandates will propel its growth, potentially through deeper partnerships and new vertical solutions.[1][6] As it scales under Dr. Lisa Graham, Seeq's influence could evolve from analytics enabler to full AI-orchestrator for industrial operations, transforming data seas into strategic assets and solidifying its role in a sustainable manufacturing future.[1][2]
Seeq has raised $159.0M in total across 6 funding rounds.
Seeq's investors include Sixth Street, Accel, Bain Capital, Bain Capital Credit, Cisco Investments, Company Capital, Insight Partners, Lakestar, Propel Venture Partners, Saudi Aramco Energy Ventures, Second Avenue Partners.
Seeq has raised $159.0M across 6 funding rounds. Most recently, it raised $50.0M Series D in August 2024.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Aug 1, 2024 | $50.0M Series D | Sixth Street | Accel, Bain Capital, Bain Capital Credit, Cisco Investments, Company Capital, Insight Partners, Lakestar, Propel Venture Partners, Saudi Aramco Energy Ventures |
| Apr 1, 2021 | $50.0M Series C | Cisco Investments, Insight Partners, Saudi Aramco Energy Ventures, Sixth Street | |
| Sep 1, 2020 | $6.0M Series B | Cisco Investments | |
| Dec 1, 2019 | $24.0M Series B | Saudi Aramco Energy Ventures | |
| Jul 18, 2018 | $23.0M Series B | ||
| Nov 5, 2013 | $6.0M Series A | Second Avenue Partners |