About VeroTX

    VeroTX is the System of Action for enterprise work.

    Run AI agents with your people and systems under your policies. Predictable costs and outcomes.

    Why enterprises choose VeroTX now.

    Teams are moving past pilots. Work needs an execution layer with clear guardrails.

    Execution over pilots

    Buyers are done testing demos. They need systems that finish work.

    Reason through exceptions

    When rigid scripts break, agents reason within policy instead of halting.

    One coordination layer

    Agents, people, and existing tools run toward one shared outcome.

    250+ systems connected

    Connectors via MCP and REST APIs, without rewrites.

    AI is the execution system now, not a sidebar add-on.

    Built from day one to run multi-step enterprise work with a tamper-evident audit trail.

    Our Mission

    Give every enterprise team an accountable system to run mission-critical work.

    The challenge

    Disconnected AI tools

    Point assistants create silos, duplicate actions, and untracked failures. More bots without a shared execution layer means more risk.

    Our solution

    One System of Action

    Specialized agents work alongside your people. Every step follows a versioned Playbook and lands in a tamper-evident Execution Ledger.

    Execution, not advice.

    Production go-live in 4–5 weeks, governed under your security policies.

    Built for how enterprise work actually runs.

    Architecture for operations that cannot afford silent failures.

    Bounded by design

    Design-time harnesses, approval thresholds, and human escalations.

    Predictable cost per run

    Fixed AI models on fixed steps. Measured in outcomes, not tokens.

    Single-tenant isolation

    Your cloud or ours. Your data never trains public models.

    Leadership

    Decades of enterprise operations, systems architecture, and AI governance.

    Arun Kanchi

    Arun Kanchi

    CEO and Co-Founder

    Two decades leading global IT, product, and services, including CIO roles at Arista Networks and Force10 Networks. President and CEO of Exafort since 2009.

    "Enterprises don't need more AI advice. They need governed work that ships, with costs they can predict."

    Rick Bradley

    Rick Bradley

    COO and Co-Founder

    Two decades in global IT and business systems, including Alvarez & Marsal, Global Head of IT at Meltwater, and CIO roles at Gilead Sciences and Plastic Logic.

    "Every action an agent takes should be one your auditors can trace and your CFO can explain."

    Wendy Walter

    Wendy Walter

    Marketing & Design Lead

    Writer, designer, and web developer. Editorial lead at Sand Hill Review and founder of red green blue studio.

    "Complex systems earn trust when people can see exactly what happened."

    Vishy Poosala

    Vishy Poosala

    Strategic Advisor, Engineering & Architecture

    Former Distinguished Engineer and Senior Director of GenAI Engineering at Meta, leading safety and governance for LLaMA. Led Bell Labs India. 50+ patents. Ph.D., University of Wisconsin-Madison.

    "Enterprise work is the frontier for AI agents, but only with reliability and trust built in."

    Brad Kovacs

    Brad Kovacs

    Head of Deployment Engineering

    Two decades in engineering and program leadership, including VP of Engineering at Vinfolio and co-founder of Bottlerie. BS in Computer Science, Purdue.

    "My job is getting your first WorkStream into production in weeks, with full accountability."

    Built for production.

    Operational reliability you can measure.

    4–5 weeks

    First production WorkStream, integrated with your ERP or CRM.

    Tamper-evident

    Every agent decision, policy check, and system write on the Execution Ledger.

    250+ systems

    Connectors across Procurement, Accounting, People Ops, and Product Ops.

    Join our team

    Build the system enterprises run their work on.

    Who thrives here

    • Builders who ship and iterate
    • People who solve real customer problems
    • Generalists at ease with ambiguity

    What you get

    • Work that defines a new category
    • Direct impact on product and strategy
    • Equity, benefits, remote-first

    Current focus

    • Full-stack engineers (React, Node.js)
    • AI specialists (LLMs, agents)
    • Enterprise sales and customer success

    Stop piloting. Start shipping.

    Move enterprise AI into production in 4–5 weeks. Governed under your policies, integrated with your systems.