Actuality
Convertible Note in 2025
Actuality is a technology company specializing in streamlining the Request for Proposal (RFP) process for businesses, particularly in the architecture, engineering, and construction (AEC) industry. It leverages artificial intelligence (AI) and extended reality (XR) technologies to automate RFP analysis, generate content, provide pricing recommendations, and facilitate team collaboration. By integrating with industry-standard tools like Revit, Procore, and InDesign, Actuality helps AEC businesses enhance proposal accuracy, reduce response times, and create visually compelling presentations, ultimately increasing their chances of winning contracts.
Airfive
Pre Seed Round in 2025
Airfive is a technology company that specializes in AI-driven customer support solutions for small teams. It develops automated communication tools to streamline customer support operations, including smart email filtering, automated responses, and analytics. These features help clients manage customer interactions more efficiently and improve response times.
Talla
Pre Seed Round in 2020
Talla, Inc., founded in 2015 and based in Brookline, Massachusetts, is an AI and automation platform that enhances customer support and internal service management. The company develops software that automates support workflows, enabling users to find accurate answers to their questions through self-service. Talla's platform is designed for various internal teams, including HR and IT, and prioritizes inquiries while automating responses to frequently asked questions. By integrating with essential tools used by support teams, Talla not only improves customer satisfaction but also increases the productivity of support representatives. The platform's machine learning capabilities allow it to learn and adapt over time, ensuring continuous improvement in service delivery.
Talla
Pre Seed Round in 2019
Talla, Inc., founded in 2015 and based in Brookline, Massachusetts, is an AI and automation platform that enhances customer support and internal service management. The company develops software that automates support workflows, enabling users to find accurate answers to their questions through self-service. Talla's platform is designed for various internal teams, including HR and IT, and prioritizes inquiries while automating responses to frequently asked questions. By integrating with essential tools used by support teams, Talla not only improves customer satisfaction but also increases the productivity of support representatives. The platform's machine learning capabilities allow it to learn and adapt over time, ensuring continuous improvement in service delivery.
Talla
Venture Round in 2016
Talla, Inc., founded in 2015 and based in Brookline, Massachusetts, is an AI and automation platform that enhances customer support and internal service management. The company develops software that automates support workflows, enabling users to find accurate answers to their questions through self-service. Talla's platform is designed for various internal teams, including HR and IT, and prioritizes inquiries while automating responses to frequently asked questions. By integrating with essential tools used by support teams, Talla not only improves customer satisfaction but also increases the productivity of support representatives. The platform's machine learning capabilities allow it to learn and adapt over time, ensuring continuous improvement in service delivery.
Talla, Inc., founded in 2015 and based in Brookline, Massachusetts, is an AI and automation platform that enhances customer support and internal service management. The company develops software that automates support workflows, enabling users to find accurate answers to their questions through self-service. Talla's platform is designed for various internal teams, including HR and IT, and prioritizes inquiries while automating responses to frequently asked questions. By integrating with essential tools used by support teams, Talla not only improves customer satisfaction but also increases the productivity of support representatives. The platform's machine learning capabilities allow it to learn and adapt over time, ensuring continuous improvement in service delivery.