Universal Reasoning Assistant

A multi-agent reasoning system for industrial operations.

AURA is not a chatbot.

The Transformation

AURA converts your facility from a place where knowledge walks out the door with every retiree into an institution that compounds intelligence over time.

Traditional Approach

User specifies exactly what data to query
Document search returns a list of matches
Each session starts from scratch
Investigations lost if browser closes

AURA Approach

Discovers relevant signals semantically
Retrieves, synthesizes, and cites the answer
Site Facts persist indefinitely
Durable workflows survive crashes
Data & Discovery

Find What Matters

🔍 Semantic Signal Discovery

Ask for "suction pressure on Compressor 1" in plain English. AURA finds the right signal even if naming is inconsistent.

📊 Smart Time Series Retrieval

Fetches data with automatic downsampling. You get exactly what fits—no overwhelming the model or missing the trend.

📄 Document Search with Citations

Upload manuals and SOPs. AURA finds the exact paragraph and shows you where it came from.

📷 Photo & File Attachments

Snap a photo of a nameplate or attach a datasheet. AURA can see images and search documents in one flow.

Intelligence & Memory

Remember Everything

🧠 Persistent Site Facts

"Compressor 3 trips when oil temp exceeds 250°F." AURA remembers this forever and tells every future user.

� Pattern Detection

AURA automatically spots trends, oscillations, step changes, and anomalies in your data—with confidence scores.

⚙️ Control Logic Explained

"How does Stage-Up work?" AURA explains complex control sequences in plain English anyone can understand.

🔗 Equipment Dependencies

"If I take Pump 4 offline, what stops?" AURA traces the topology and shows downstream impacts.

Operations & Safety

Act with Confidence

🔧 Safe Settings Changes

Change setpoints or app settings through natural language. AURA shows exactly what will change and waits for your approval.

� Change Audit Trail

"Who changed that setpoint last week?" AURA shows who, when, and the exact before/after values.

💬 Smart Clarifications

When AURA isn't sure, it asks—instead of guessing. Multiple-choice questions keep you in control.

� Share & Export

Share via link, export as PNG image, print to PDF, or download as markdown. Perfect for reports and handoffs.

The Intelligence Flywheel

Every interaction deposits knowledge. The facility gets smarter over time.

1

A user asks a question

2

AURA reasons, retrieves, and synthesizes an answer

3

User confirms or corrects: "Actually, the valve sticks when suction hits 20 psi"

4

AURA deposits this as a Site Fact

5

Any team member's future question is answered with this context

∞

Facility intelligence compounds over time

Three Pillars

📍

Grounded

Every answer cites a timestamp, signal, or document. If AURA doesn't know, it asks—it doesn't guess.

⚡

Durable

Investigations survive browser crashes, shift changes, and vacation. Memory compounds indefinitely.

🛡️

Safe

No invisible actions. Commands require confirmation. Tool budgets prevent runaway costs.

Addressing Objections

"Why not just use ChatGPT?"
ChatGPT has no access to your data, no persistent memory, and no auditable tool calls. AURA is purpose-built for industrial operations.
"Is this another 'AI experiment'?"
AURA is in production. Investigations are durable (Temporal). Memory is persistent. This is infrastructure, not a demo.
"What if it hallucinates?"
Bounded contexts. Explicit citations. Retry mechanisms. AURA is designed to fail gracefully, not confidently wrong.
"What about security?"
Org-scoped data isolation. No cross-tenant leakage. Explicit user confirmation for any write operation.

Demo Flow (5 min)

0:30

"What's wrong with Compressor 1?" — Watch AURA orchestrate: pulling alarms, settings, and snapshot data automatically.

1:30

Interactive chart appears — This is semantic discovery. The user asked in plain English.

2:30

Manual passage with citation — Grounded retrieval. AURA shows exactly where the answer came from.

3:30

"Remember: this compressor has a bad separator valve." — This is now a Site Fact. Every future team member will have this context.

4:30

Refresh the browser. — Durable. The investigation survived. This is infrastructure.

Cost Model

Fixed Infrastructure

~$500/mo
AURA + Temporal services
~10% of shared EKS cluster

Per-Turn (Prompt Caching)

~$0.10–$0.35
Cold start: ~$0.35
Warm turn: ~$0.10

Example Sessions

💬

Quick Check

$0.45

2 turns

🔍

Typical Investigation

$0.75

5 turns

🔧

Deep Troubleshooting

$1.25

10 turns

Strategic Questions

Positioning & Market

  • Product vs. Feature: Is AURA standalone or a capability of ATLAS?
  • Wedge Selection: Lead with data access, docs, or memory?
  • Competitive Narrative: 30-second differentiator vs "just add ChatGPT"

Value Capture

  • Pricing Metric: Seats, investigations, or site-months?
  • Switching Cost: When do Site Facts become a moat?

Adoption Dynamics

  • Champion vs. Buyer: Equip the Reliability Engineer to sell internally
  • 30-Day Value: Minimum viable deployment that demonstrates value
  • Land-and-Expand: Trigger for org-wide rollout

Ready to discuss?

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