Veta — Agentic Mineral-Tracking Decision Support
A private decision-support system that turns a natural-language question (typed or spoken) about a mineral-processing operation into a traceable, evidence-backed answer — a multi-stage agent pipeline routes the query to tiered solvers and grounds every recommendation in plant data with RAG.
Business Context
Plant decisions are high-stakes and time-sensitive, yet the supporting analysis is often locked in spreadsheets and specialists' heads. A conversational, evidence-first assistant compresses the loop from question to defensible recommendation, and makes the reasoning auditable rather than a black box.
Strategic Value
Veta is a working pattern for agentic decision support in heavy industry: a voice/text front door, a staged agent pipeline, solver tiers that spend compute only when justified, and RAG that keeps every answer grounded and traceable. The same architecture generalizes to any operation where decisions must be fast, defensible, and reproducible.
The Challenge
In a mineral-processing operation, the knowledge needed to answer "what should we do about this feed and these operating constraints?" is spread across telemetry, historical runs, and expert intuition. Pulling it together is slow, manual, and hard to audit — and an answer with no traceable evidence is hard to trust on the plant floor.
Our Approach
Veta exposes a single chat surface (text and voice). Each request flows through a multi-stage agent pipeline that interprets intent, assembles the relevant plant state, and routes to a tiered solver (cheap heuristics first, heavier optimization only when warranted). Every recommendation is grounded with retrieval over the tracked sites' data (RAG), so the answer arrives with its supporting evidence attached. An offline pipeline builds per-site artifacts that are content-addressed (sha256-manifested) for reproducibility.
Key Performance Indicators
| KPI | Baseline | Result | Impact |
|---|---|---|---|
| Question → recommendation | Manual analysis across tools/people | Single conversational surface (text + voice) | Compressed decision loop |
| Trust in the answer | Opaque, untraceable | Every answer carries its RAG evidence | Auditable recommendations |
Proprietary — source code not publicly available
Architecture
veta architecture
A conversational front door to plant decisions
Veta is a private decision-support system for mineral-processing operations. Ask it a question — typed or spoken — and a multi-stage agent pipeline interprets the intent, gathers the relevant plant state, routes to the right solver tier, and answers with the supporting evidence attached.
This is proprietary work; the live deployment is private. The card describes the architecture and intent without exposing internal data or logic.
Technology Stack
Visual assets for this project are not publicly available.