• RIIG

  Led · Seed · Nov 2024

  RIIG Technology, operating as HOOTL™, develops automation infrastructure and AI platforms focused on trust, compliance, and explainability for regulated and complex industries. Initial applications include healthcare insurance processing—where it is deploying a dental solution integrated with OpenDental and Dentrix Cloud—cybersecurity, and field service operations, with a forthcoming roofing-focused field service management suite. The company is building an AI Center of Excellence, including an NVIDIA DGX B300, to develop in-house models, analytics, computer vision, and drone-enabled services, and is advancing edge-deployed AI for real-time processing at the point of data collection. RIIG reports active client deployments and live use cases such as autonomous surveillance, asset tracking, and rapid decision-making that reduce latency and improve operational resilience. It is expanding internationally through joint ventures with Dubai government-backed organizations and the establishment of a Canadian subsidiary, positioning HOOTL™ for broader public sector and infrastructure engagements. Headquartered in Charlottesville, Virginia, the company emphasizes secure, scalable solutions for organizations requiring high levels of compliance and precision.

• Knit

  Participated · Equity · Sep 2024

  Knit is an end-to-end, AI-native platform transforming how enterprises conduct consumer research by combining human researcher expertise with generative AI. The platform enables teams to run custom quantitative and qualitative studies and receive report-ready insights within days. Knit embeds customer context and researcher nuance into its models so AI outputs preserve depth and rigor while accelerating analysis, synthesis, and reporting. The company reports 5X year-over-year growth and serves more than 60 enterprise brands, including Amazon, NASCAR, Mars Wrigley, and Overtime. Knit has raised over $30M in total funding to date and uses its product to make research faster and more decision-ready. Future plans include accelerating product development with new AI-powered features, expanding research use cases, scaling go-to-market and research teams, and growing international research capabilities. Knit provides an end-to-end, AI-native platform that streamlines the consumer research process by marrying quantitative and qualitative data in the same survey. The product uses researcher-driven AI to take time-intensive tasks off researchers' plates and deliver stakeholder-ready reports faster. In the past year Knit has onboarded more than 30 enterprise brands, including T-Mobile, NASCAR, the WNBA, Mars Wrigley, Overtime, and JBL. The company reports that its annual recurring revenue grew 5X over the past year. Knit launched Report-Ready Insights — an offering that produces agency-quality quantitative and qualitative research at DIY costs. The company says its approach centers researcher expertise as the engine with AI as the navigator, enabling faster, more customizable research. Knit was founded in 2021 and is based in Austin, Texas.

• Knit

  Participated · Equity · Sep 2024

  Knit provides an end-to-end, AI-native platform that automates the consumer research process, using Researcher-Driven AI to take time-intensive research tasks off researchers' plates. The platform combines quantitative and qualitative data in the same survey to deliver agency-quality insights in days. The company is led by CEO Aneesh Dhawan and CTO Raahish Kalaria. Knit is using the new funding to launch Report-Ready Insights, its latest offering aimed at enabling researchers to run agency-quality quantitative and qualitative research at DIY costs. Over the past year it has onboarded more than 30 enterprise brands and grown its annual recurring revenue 5X. The company is based in Austin, TX. Knit operates a platform that lets brands upload custom research questions and receive 30–90 second selfie video responses from hundreds of Gen Z consumers in hours, alongside quick quantitative data. The company uses video-analysis AI to turn hours of footage into insights in minutes. Knit reports access to a panel of over 1 million Gen Z and 4 million Millennial consumers and more than 30 enterprise customers, including NASCAR, WNBA, Harman (JBL) and Moët Hennessy. Since its January 2021 launch the business has observed seven-times growth. Led by CEO Aneesh Dhawan and CTO Raahish Kalaria, the team are Techstars alumni and position the product as an on-demand think tank for Gen Z insights. With the new capital the company plans to further automate video analysis and expand its panel beyond Gen Z into a cross-generational solution, beginning in EMEA and LATAM.

• Caju AI

  Participated · Seed · Jun 2024

  Caju AI offers a platform that captures and analyzes customer communications across messaging channels and engagement data to deliver conversation intelligence, call summaries, regional activity monitoring, trend analysis, and actionable business intelligence. The platform emphasizes generative AI capabilities to accelerate field engagement and enhance customer satisfaction across the enterprise. It also includes features to ensure regulatory compliance, prevent data loss, and mitigate other risk concerns. Led by CEO Otavio Freire, the company positions itself as a player in AI-driven customer engagement and compliance solutions. Caju AI plans to use recent funding to accelerate a new phase of growth and innovation and to consolidate its market position. The company is headquartered in Charlottesville, VA.

• DoorList

  Participated · Seed · Feb 2024

  DoorList is a social-first events platform that lets users manage their social calendar and enables hosts to quickly and efficiently create events. The company raised a $3 million Seed round announced in coverage of the transaction. Participating investors included Felton Group LLC (Jaffray Woodriff), Neo, Service Provider Capital and various individual investors. Silicon Legal represented DoorList in the raise. Silicon Legal’s DoorList client team included Sarah Boulden, Madelyn Tarr and Corin Medrano. The articles do not disclose operating metrics, use of proceeds, founding year, or location.

No current team members are available.