Run AI agents with your people and systems under your policies. Predictable costs and outcomes.
Teams are moving past pilots. Work needs an execution layer with clear guardrails.
Buyers are done testing demos. They need systems that finish work.
When rigid scripts break, agents reason within policy instead of halting.
Agents, people, and existing tools run toward one shared outcome.
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.
Give every enterprise team an accountable system to run mission-critical work.
The challenge
Point assistants create silos, duplicate actions, and untracked failures. More bots without a shared execution layer means more risk.
Our solution
Specialized agents work alongside your people. Every step follows a versioned Playbook and lands in a tamper-evident Execution Ledger.
Production go-live in 4–5 weeks, governed under your security policies.
Architecture for operations that cannot afford silent failures.
Design-time harnesses, approval thresholds, and human escalations.
Fixed AI models on fixed steps. Measured in outcomes, not tokens.
Your cloud or ours. Your data never trains public models.
Decades of enterprise operations, systems architecture, and AI governance.

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."

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."

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."

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."

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."
Operational reliability you can measure.
First production WorkStream, integrated with your ERP or CRM.
Every agent decision, policy check, and system write on the Execution Ledger.
Connectors across Procurement, Accounting, People Ops, and Product Ops.
Build the system enterprises run their work on.
Move enterprise AI into production in 4–5 weeks. Governed under your policies, integrated with your systems.