We build controllable AI for real operations
Xong AI helps organizations automate complex workflows using agentic pipelines grounded in a governed Data House and made safe with sessions, HITL, and tool boundaries.
What we do
We do not just add an LLM. We redesign workflows and build production systems where AI can safely execute actions with humans in control.
- Process analysis: map real workflows, bottlenecks, and exceptions.
- Data House: unify and govern documents, media, sensors, and events.
- Orchestration: reasoner-driven agents that plan, act, verify, and escalate.
- WebKit tools: safe integrations with ERP/CRM and internal apps.
- Continuous improvement: sessions + HITL rewards power interval training.
- Traceable: you always know what AI did and why.
- Safe: tool boundaries + approvals for high-risk steps.
- Measurable: KPIs, evaluation packs, and regression tests.
- Flexible: cloud, on-prem, dedicated, or hybrid deployments.
Operational outcomes we optimize
We build systems you can explain, govern, and scale.
Every engagement focuses on traceability, safety, and measurable improvements in throughput.
- End-to-end session traceability from input to action.
- Governance controls with approvals and audit logs.
- Measurable accuracy and cycle-time gains.
How we deliver
A phased path from discovery to measurable production impact.
Operators, engineers, and applied AI builders
We combine enterprise delivery experience with deep ML engineering to ship production-grade automation.
Vision · Product Strategy · Enterprise Delivery
AI Architecture · Orchestration · Platform
Data Foundations · Integrations · Reliability
ML Systems · Multimodal Models · Evaluation
MLOps · Platform · Observability
Full-Stack · Workflow UI · Tooling
Want to build a production pilot?
Bring a workflow and sample data. We will propose an end-to-end plan from foundation to automation to continuous improvement.