01
Knowledge Q&A and Retrieval
Connect enterprise documents, standards, and past experience to the agent — employees find the evidence in natural language, with citations and permission boundaries preserved.
Enterprise AI Scenarios
Start with one process. Ship an agent that actually works.
Start from your knowledge, rules, and existing systems — and bring AI into the work that happens every day.
02
Approvals and Process Collaboration
Read forms, validate rules, complete materials, and move approvals forward — agents take the repetitive judgment, humans keep the final decision.
03
Customer and Operations Assistants
Connect CRM, tickets, and the knowledge base to draft replies, summarize context, and trigger next steps — keeping service teams consistent.
04
Data and Business Analysis
Put metrics, databases, and business rules into one execution loop — with queries, explanations, and auditable results.
05
Purpose-Built Scenario Agents
Start customized from one high-value process, then progressively connect systems, knowledge, and permissions into an enterprise AI workflow that keeps evolving.
Delivery · Custom Services
From requirements to launch, every step reviewable
Helix Flow delivers runnable, governable, iterable AI scenarios — bounded by your real data and processes.
01
Research
On-site assessment of business processes, data, and existing systems — identifying what can be handed to agents.
02
Integration
Connect existing systems, knowledge, and permissions — establishing stable, traceable tool-call boundaries.
03
Validation
Validate continuously with real tasks and historical samples, so every answer, judgment, and action can be reviewed.
04
Delivery
Launch one scenario, then expand to more processes; metrics, logs, and permissions land together with delivery.
* Business modules are delivered as professional services; scope and timeline follow an on-site assessment.
Roadmap
The next modules under construction
The platform ships in stages — here is what is in progress.
01
In progressDocs & Knowledge Base
- Real-time collaborative docs (multi-user editing)
- Nested trees and version history
- AI-searchable documents (MCP access)
02
In progressAudio & Video Meetings
- Self-hosted audio/video (built on LiveKit)
- AI transcription and meeting notes
- Integrated with calendar and channels
Enterprise-Grade
Built for enterprise deployment
Data sovereignty, secure access, and centralized governance — part of the architecture, not a switch added later.
01
Private Deployment
Platform, models, and data all run on your own servers and intranet; model access, data, and logs never leave your boundary.
02
Secure Connectivity
mTLS-encrypted tunnels traverse NAT, and VPN networking links multiple sites; credentials are rotatable and revocable, node identities auditable.
03
Isolation & Sandboxing
Workspace-level isolation and multi-machine management; HelixVM provides VM-grade sandboxed execution for parallel projects.
04
Governance & Observability
Session-level execution tracing, token usage and cache-hit statistics, and centralized model access policy — for audit and compliance.
Architecture
Built to scale and to evolve
Thin frontend, heavy backend; AI-native, metadata-driven, pluggable.
01
Core In-House, Proven Foundation
The messaging model, approval engine, and task & calendar models are built in-house; storage stands on proven open source (TiDB).
02
Metadata-Driven
Business objects are configurable — new modules ship without rewriting the frontend; the platform grows with the business.
03
Reusable Agent Engine
AI capabilities run on our own aiagent engine, deployed independently and integrated via API — decoupled from, yet deeply linked to, business data and workflows.
Want to deploy an AI collaboration & agent platform in your company?
Private deployment, secure connectivity, product customization — get in touch.