Overview
Portfolio
More
Multifaceted
New York, United States
Community‑focused, founder‑first early‑stage venture capital targeting strong founders from elite alumni networks, fostering a powerful interconnected startup ecosystem.
Portfolio
12+
Employees
20+
Founded
2022
AUM
≈ $225.0K
Investment focus
Stages
No stages listed
Industries
No industries listedGeographic scope
United States
Fund details
Funds
A1
Vintage 2023 • $225.0K
Sources
Multifaceted
Community‑focused, founder‑first early‑stage venture capital targeting strong founders from elite alumni networks, fostering a powerful interconnected startup ecosystem.
Portfolio
12+
Employees
20+
Founded
2022
AUM
≈ $225.0K
Funds
A1 · Vintage 2023 • $225.0K
Stages
No stages listed
Industries
No industries listedGeographic scope
United States
Sources
Showing 9 of 9 matched portfolio companies
Amori provides AI dating coaches that analyze user conversations to deliver personalized dating insights. The platform uses this analysis to enhance matchmaking effectiveness for users seeking romantic connections. This service offers data-driven guidance directly within the dating communication process.
Commons provides secure and auditable intranet access specifically designed for autonomous agents. It connects to an existing technology stack via integrations, allowing agents to search and operate across internal systems using defined permissions. This platform ensures that all agent actions are fully logged, offering granular control over data access for various enterprise functions.
Coverd offers a fee‑free credit card that provides up to 100 % cash back on eligible purchases and real‑time spending insights to help users build better habits. Each transaction automatically enters cardholders into sweepstakes‑style games where they can win additional Coverd Cash, redeemable for cash, prizes, or credit card payments. The platform combines traditional rewards with a gamified experience to make everyday spending more rewarding and transparent.
Funding: $6.2M
Rough estimate of the amount of funding raised
Funding: $6.2M
Rough estimate of the amount of funding raised
Minerva provides an AI-powered platform designed to enhance knowledge management and decision support for enterprises. The system integrates disparate data sources to deliver contextualized insights directly to users. This capability streamlines complex workflows by making relevant organizational intelligence immediately accessible.
Novoflow provides an AI-powered receptionist that automates appointment scheduling and patient intake for medical clinics. The platform also manages cancellation waitlists through automated outbound calls, maximizing provider utilization and reducing lost revenue.
Funding: $500.0K
Rough estimate of the amount of funding raised
Funding: $500.0K
Rough estimate of the amount of funding raised
Prism is an AI video creation platform that enables creators, marketers, and businesses to generate video content from text prompts. The platform integrates multiple state-of-the-art AI models for video and image generation, lip-syncing, and editing functions. Users can produce short-form content, marketing materials, and storytelling series with commercial usage rights.
Ruya AI develops advanced generative AI models focused on synthetic media creation for the entertainment industry. The platform enables studios and content creators to produce high-fidelity visual assets and digital doubles efficiently. This technology streamlines complex post-production workflows by automating aspects of character rendering and scene generation.
Tornado provides a secure, AI-powered synthesis layer for financial institutions to analyze company filings and proprietary research at scale. The platform ingests diverse datasets, including SEC filings and internal documents, to generate human-quality financial analysis and unique investment insights. This accelerates deal flow generation and decision-making while maintaining strict data security and compliance workflows.
Funding: $10.0M
Rough estimate of the amount of funding raised
Funding: $10.0M
Rough estimate of the amount of funding raised
Develops algorithms that optimize matrix multiplication—the core operation in AI compute—to achieve 1.6x faster training and inference on existing GPU hardware without quantization or pruning. This approach eliminates accuracy degradation while significantly reducing compute costs, addressing the limitations of current AI hardware scalability.
Funding: $12.0M
Rough estimate of the amount of funding raised
Funding: $12.0M
Rough estimate of the amount of funding raised
Showing 3 of 3 unmatched portfolio companies