Ask anything. Get answers grounded in live state.
Ask the platform anything in plain English. Get answers grounded in live sensor data, with the citations to back them. Natural language is a first-class interface, not a chat widget.
The problem
- 01LLM hallucinations. Unattached LLMs fabricate operational facts. In production environments, this is unacceptable.
- 02Multilingual ops. Major operations span dozens of language communities. English-only conversational AI excludes most operators.
- 03Voice-first environments. Ops floors are loud, hands-full, gloved-handed environments. Text-only interfaces don't cut it.
- 04Answers without action. A conversational AI that can only answer questions is half a product. The other half is taking action.
The capability surface.
NL queries on the ops graph
"Show me every pallet over 72 hours dwell time in Houston." The platform answers — and shows its work.
Grounded LLM with citations
Every answer cites the underlying graph nodes, sensor readings, and operational records.
Voice-first mode
Push-to-talk and continuous-listen modes tuned for ops-floor environments.
Multi-language
12 languages at launch. Voice and text. Per-operator language preferences.
Action-taking via agents
Conversational responses can trigger agentic actions under the same policy controls.
Audit-traceable
Every conversational interaction logged. Every action recorded with full provenance.
"Show me every pallet over 72 hours dwell time in Houston." The platform answers, cites its sources, and offers to take action.
What this delivers.
- 01Time-to-answer reduced from minutes to seconds for operational queries
- 0212-language support enables operator inclusion across global deployments
- 03Voice-first mode supports hands-free ops-floor workflows
- 04Grounded LLM eliminates hallucinations in production
- 05Action-taking via agents brings the full agentic surface to natural language
See Conversational Ops running in your environment.
A 60-minute architecture review with our solutions team. We map your sensors, your systems, and the workflows where this capability moves the needle.