VIDA Global Inc. is building the AI Agent Operating System for modern businesses (the “Vida Agent OS”). Our platform is designed to enable enterprises, service providers, software vendors, and entrepreneurs to deploy, govern, and manage production-grade AI agents across voice, messaging, email, and web. These agents connect to systems companies already rely on—such as phones, CRMs, ticketing tools, calendars, and billing systems—and are intended to perform work that often falls through the cracks, including recovering missed calls, qualifying leads, scheduling and confirming appointments, triaging support tickets, maintaining CRM accuracy, and initiating payments. For businesses, we believe these capabilities may help support faster response times, fewer dropped handoffs, and higher conversion and completion rates, although results vary by customer and use case. Our mission is to make the AI-agent economy accessible to every business by equipping service and software providers with a platform for deploying and selling agents quickly and at scale. We focus on the “Business AI Agent” category—agents that are designed to operate within a company’s existing communication channels and systems of record to complete well-defined tasks such as answering inbound calls, responding to missed contacts, booking meetings, following up with prospects, and capturing payments. We believe the public markets currently offer limited opportunities for investors seeking focused exposure to the emerging Business AI Agent category as a standalone operating theme. As of April 14, 2026, Microsoft Corporation, Alphabet Inc. (GOOG), and Meta Platforms, Inc. had market capitalizations of approximately $3.59 trillion, $2.94 trillion, and $1.84 trillion, respectively, based on publicly available information, which we believe illustrates that much of public-market exposure to AI remains concentrated in large, diversified technology companies rather than companies focused primarily on the Business AI Agent category. We pursue a channel-first distribution strategy supplemented by targeted direct sales. Accordingly, our go-to-market model is designed around two primary buyer groups: channel partners that embed, resell, and operate Vida agents for their own customers, and end businesses that deploy Vida directly where they require larger-scale rollouts, deeper integrations, or more centralized governance and billing controls. We enable managed service providers (“MSPs”), IT solution providers, telecom advisors, technology agents, vertical software vendors, and UCaaS/CCaaS platforms to embed, resell, and operate Vida agents across their installed bases. These partners can manage many tenants from a single, secure, multi-tenant console and use branded options and pass-through billing to present agents as an integrated part of their existing offerings. At the same time, we maintain direct engagement with larger organizations that require hundreds of agents, deep integrations, and advanced governance and billing controls. Our platform is designed to be omnichannel from the outset. Vida AI agents can handle inbound and outbound communication across voice, text messaging, email, and web chat, and are designed to work alongside a broad range of telephony systems, including SIP-based VoIP and PBX environments. Core workflows include inbound reception and routing, outbound lead follow-up with consent and retries, CRM summarization and tagging, appointment confirmations and reminders, and payment capture through customer-selected providers. Agents operate inside existing systems and are designed so that actions taken on behalf of the customer are recorded in the relevant systems of record with appropriate tags and attribution. Under the surface, the Vida Agent OS brings together omnichannel I/O, AI model orchestration, policy and compliance controls, integrations with CRMs and other business systems, observability and auto-QA, usage-based billing, and embeddable interfaces and APIs. Turnkey connectors to schedulers, ticketing tools, and payments providers give agents the ability to read and write business data, while dashboards and tracing tools allow partners and customers to monitor throughput, conversion rates, and quality at the agent, tenant, and brand levels. Branded UIs, APIs, and billing integrations are intended to help partners commercialize agents as part of their existing product and service lines. We operate in a nascent and rapidly evolving industry. We are building toward a long-term shift from software that people operate to software that operates on their behalf. We believe that this transition—from screen-based, seat-priced applications to agentic, outcome-aligned systems—will require safe orchestration, reliable integrations with systems of record, and distribution models that reach businesses through the vendors they already trust. Our limited operating history at the scale and scope contemplated by this offering, together with the early stage of the Business AI Agent category, means that our business, unit economics, and growth trajectory are subject to significant uncertainty. Our Solution The Vida Agent OS is a cloud-based platform designed to enable partners and customers to deploy, manage, and scale AI agents in production without having to build and maintain their own underlying agent infrastructure. Our platform is structured around several core layers: . Omnichannel communications. Vida agents can initiate and receive conversations via phone, SMS, email, and web chat, and are designed to integrate with existing telephony infrastructure using SIP, VoIP, and PBX interfaces. This is intended to allow customers to introduce agents into the channels where their teams already operate, rather than adding separate tools that sit alongside their existing systems. . Security and compliance features. Our agents and telephony features are designed to support compliance and verification in regulated communication environments. For example, we support registration and verification flows through industry frameworks such as The Campaign Registry for messaging and STIR/SHAKEN caller ID attestation for voice, which are intended to help reduce spam classification and caller ID spoofing. We also incorporate consent, quiet-hours, and do-not-contact lists at the tenant level to help customers implement their own compliance policies, though we cannot guarantee full compliance in every deployment. . Integrations and tools. Our platform includes connectors to commonly used CRMs, schedulers, ticketing tools, and payment providers, enabling agents (when configured by customers) to read and update records, schedule meetings, open and route tickets, and, in some cases, accept payments through providers such as Stripe and Chargebee. These integrations are designed to make agents operationally useful from the outset, rather than requiring extensive custom development. . Observability and auto-QA. Vida provides tracing, analytics, and dashboards that surface key performance indicators such as volume, conversions, and completion quality across agents, tenants, and brands. Auto-QA capabilities flag conversations or tasks that fall outside of expected parameters, enabling operators to review and tune agent behavior. . Embeddable UIs and APIs. Prebuilt web components, management consoles, and APIs allow partners and software vendors to embed agent configuration and monitoring directly into their own products or customer portals. White-label support, including custom domains and branded dashboards, is intended to help partners present Vida-powered agents as a native part of their offerings. . Usage and billing constructs. We align pricing with usage and outcomes rather than seats. Our platform includes primitives for per-minute, per-message, and per-task metering, along with pass-through billing, SKU controls, and integrations with common billing providers. For many SaaS vendors and service providers, our platform access fee model and usage-based metering are intended to make it easier to launch agent-based offerings without re-architecting financial systems. Collectively, these layers are designed to allow partners and customers to focus on configuring agent policies, prompts, and workflows for their verticals and use cases, while we handle much of the underlying complexity around communications infrastructure, model orchestration, and compliance-oriented tooling. We believe this combination can reduce time-to-value, improve completion rates, and lower the barrier to adopting AI agents at scale, although performance and outcomes will vary by customer, configuration, and use case. Key Benefits of Our Platform We believe the Vida Agent OS offers several key benefits to partners and customers: . Agents that work inside existing systems of record. Our agents are designed to operate within a customer’s existing CRMs, calendars, ticketing tools, and billing systems rather than requiring new front-office applications. This can reduce the need for replatforming and help keep data, reporting, and user access models consistent. . Omnichannel responsiveness and continuity. Vida agents can answer calls, respond to missed texts and emails, and maintain continuity across channels, handing off to humans with full transcripts and context so customers do not need to repeat themselves. We believe this can support faster response times and fewer dropped handoffs, subject to configuration and system capacity. . Channel-first distribution for partners. MSPs, telecom advisors, SaaS vendors, and other partners can manage many tenants from a single console, use white-label controls and pass-through billing, and embed agents directly in their offerings. We believe this model can help partners create new recurring revenue streams and differentiate their services, while expanding Vida’s reach into existing customer bases. . Usage-aligned economics. Because we price on usage and outcomes rather than seats, customers can start with small deployments, test agent workflows, and scale usage as agents prove their value and expand into additional processes and channels. This structure is intended to align cost more closely with utilization and measurable output, although actual economics will depend on specific deployments and contract terms. . Compliance-oriented design. Our support for STIR/SHAKEN, The Campaign Registry, consent management, quiet-hours policies, and tenant-level do-not-contact controls is intended to help customers implement their compliance strategies in regulated communication environments, including those subject to telephony and marketing rules. While these capabilities cannot guarantee compliance, we believe they make it easier for customers and partners to design and monitor compliant programs. Platform-level observability and control. Our tracing, analytics, and auto-QA capabilities provide visibility into agent performance and quality, helping customers and partners identify issues and refine workflows. We believe visibility is a prerequisite for trust in AI systems, especially where they interact directly with end customers. Our principal executive offices are located in Cedar Park, TX.
