Messaging (IM)
Channels, group and direct messages, threads; rich text, reactions, message search — from open discussion to a durable decision trail.
Bring agents into real collaboration and business workflows: messaging, tasks, approvals, and calendar — AI-native by design, private by default.
Messaging + business apps + AI assistant, woven together — AI that lives inside everyday workflows.
Channels, group and direct messages, threads; rich text, reactions, message search — from open discussion to a durable decision trail.
Workspace → project → task with list and board views; assignments and follow-ups notify the right people — progress stays visible.
Form + process engine: multi-level approvals with countersign / transfer / delegate / CC — from submission to archival, fully online.
Events, recurrence rules, reminders, and participant responses; schedules link back to channels, connecting meetings with discussion.
Not an add-on: it can search the org and messages, create channels and events, and send notices — with clear permission boundaries and tool allowlists.
General OA is the starting point. The next step is pushing agents into business operations — replacing traditional ERP through custom delivery.
On-site assessment of business processes, data, and existing systems — identifying what can be handed to agents.
Connect existing systems and data, linking procurement, inventory, production, and sales into one information flow.
Inject company knowledge and industry rules to train a dedicated business agent — one that speaks your business language.
Gradually take over business functions, replacing the heavy lift of traditional ERP — a bespoke system per company.
* Business modules are delivered as professional services; scope and timeline follow an on-site assessment.
The platform ships in stages — here is what is in progress.
Data sovereignty, secure access, and centralized governance — part of the architecture, not a switch added later.
Platform, models, and data all run on your own servers and intranet; model access, data, and logs never leave your boundary.
mTLS-encrypted tunnels traverse NAT, and VPN networking links multiple sites; credentials are rotatable and revocable, node identities auditable.
Workspace-level isolation and multi-machine management; HelixVM provides VM-grade sandboxed execution for parallel projects.
Session-level execution tracing, token usage and cache-hit statistics, and centralized model access policy — for audit and compliance.
Thin frontend, heavy backend; AI-native, metadata-driven, pluggable.
The messaging model, approval engine, and task & calendar models are built in-house; storage stands on proven open source (TiDB).
Business objects are configurable — new modules ship without rewriting the frontend; the platform grows with the business.
AI capabilities run on our own aiagent engine, deployed independently and integrated via API — decoupled from, yet deeply linked to, business data and workflows.
Private deployment, secure connectivity, product customization — get in touch.