SysteMind
The operating layer for cross-org agents.
We build the trust, memory, and coordination primitives that let AI agents work across teams, tools, and company boundaries.
Memory
Persistent context with access boundaries.
Coordination
Agents that route work instead of forwarding messages.
Trust
Reliable delegation across organizations.
Operator
Share a Pulse link instead of sending static documents or long threads.
AI COO
Represents you, answers questions, and coordinates next steps.
Vision
The next work stack is not chat-first. It is agent-first.
From isolated tools to a coordination network
AI products still behave like assistants trapped inside single interfaces.
The next layer is operational: agents exchanging context, permissions, and tasks without forcing humans to manually bridge every gap.
SysteMind builds the infrastructure that makes that layer dependable.
Today
AI tools act like isolated assistants inside individual tools and workflows.
Transition
Agents begin to exchange context, permissions, and tasks across teams.
Future
A coordination layer connects people, teams, and organizations through agents.
Product
Communication is still the bottleneck.
Pulse turns follow-up into coordinated execution.
Messages, email, and static notes consume attention without actually moving the work forward.
Pulse carries your context, coordinates with other people and agents, and keeps pushing toward an outcome.
Old Communication
Message threads
Email loops
Static notes
Manual follow-up
Pulse
Agent coordination
Persistent context
Autonomous replies
Action toward outcome
From communication to coordination. From follow-up to execution.
Built for founder, sales, and investor conversations
Coordination without communication tax
Pulse Agent Workflow
From message overhead to coordinated action.
Stop passing context around by hand. Pulse turns static communication into an active coordination layer that answers, aligns, and schedules.
Communication tax
Message
static
static
Static note
static
Pulse outcomes
Answers
action
Coordinates
action
Schedules
action
Meeting scheduled
execution
Research
SysteMind Research
Our research focuses on the trust, memory, coordination, and delegation primitives required for production-grade agent systems.
Security, coordination, memory, and protocols
Agent security
Trust, permissions, and safe execution boundaries.
Multi-agent coordination
Protocols for routing work across specialized agents.
Access-aware memory
Context that stays useful without leaking the wrong data.
Delegation protocols
Reliable handoff from intent to execution.
Team
Small team, infrastructure problem.
A focused team building secure, coordinated AI systems for work that spans people, teams, and organizations.
Xisen Wang
CEO
Agent infrastructure
Builds the execution layer for routing, orchestration, and coordination between specialized agents.
Yu Chen
CTO
Oxford Engineering
Designs the trust, safety, and permission models that make cross-org agents usable in practice.
Contact
Start a conversation with SysteMind
For partnerships, research collaboration, or general inquiries, contact us directly and we will route you to the right team.
Building the coordination layer for the agent economy