Participated · Seed · Sep 2025

Gain develops virtual AI employees that combine advanced reasoning engines, domain-specific models, and orchestration layers to work together as a secure, high-performing team inside customer environments. Each AI employee is tailored to the client through training camps, simulations, and live feedback until it surpasses human benchmarks, adheres to compliance requirements, and delivers measurable ROI. Key product attributes include predictable pay-per-outcome pricing, optional human-in-the-loop oversight, deep industry and geographic tuning, and end-to-end encryption with enterprise-grade security. The company plans to add new AI employee roles, expand its product teams, and boost go-to-market efforts across the United States and Europe. Gain’s seed-stage balance sheet has been strengthened by $12 million in new capital, providing resources for continued R&D and commercial expansion. No revenue, user, or other operating metrics were disclosed in the article.

Participated · Series A · Aug 2023

Aperio provides a software platform that detects and fixes poor operational data quality at scale through visualization, prioritization, and remediation. The system ingests operational customer data captured in historians, databases, and data lakes and evaluates its quality using proprietary machine learning engines. Aperio's platform is designed to help industry leaders improve operational performance, mitigate risks, and enable data-driven decision making to deliver data services. Earlier in the year the company released APERIO DataWise 2.0, which added comprehensive root cause analysis and event pattern recognition and improved workflows and issue prioritization. The company intends to use the new funding to grow the team, invest in the product, and improve the customer experience. Aperio is led by CEO Jonas Hellgren and is based in Boston, MA. Aperio Systems offers an industrial data integrity platform that automatically validates operational data at scale using machine learning and AI. Its solution validates data in real time so organizations can reduce operational expenses, make better-informed strategic decisions, and turn validated industrial data into a competitive asset. Aperio serves global customers across sectors including refining, mining, manufacturing, power utilities, process manufacturing, oil & gas, and chemical processing where data integrity is crucial. The company highlights that data integrity has become the number-one inhibitor to maximizing ROI in digital solutions, with over 50% of data science budgets dedicated to cleaning data quality. With the new capital, Aperio plans to scale its industry-first IIoT data integrity solution and provide comprehensive, long-term support for global industrial leaders. Financially, the company has closed an $8.5M Series A to fund that expansion. Aperio Systems develops ML‑based tools that detect when physical sensor data in power plants and industrial sites has been forged by analysing normally filtered sensor noise to create individual sensor fingerprints. The system can both flag tampering and often reveal the underlying physical state so operators can choose between emergency shutdowns or controlled responses. Its solution integrates without requiring changes to existing plant setups. The company says it is currently active mostly in Israel and Europe, has begun work with a customer in Australia, and is evaluating expansion into Asia and the U.S. Aperio has about a dozen employees, mostly engineers. It plans to use the new funding to improve its core technology, build additional customer tools, and expand into new geographies.