96
readings a day
One every 15 minutes, for each plant
+12%
margin
vs static strategy (fixed thresholds)
<3s
latency
Chat query response time
24/7
online
Never offline · always active
Atlas in 2 modes
Atlas' 2 modes
Atlas is a single brand · 2 different modes based on context. On the site it orients visitors. In the platform it orchestrates trading for customers.
Atlas Site Assistanthere on site | Atlas Trading Co-pilotin platform | |
|---|---|---|
| For whom | Site visitors · not logged in | Logged customers · brokers · funds |
| Knows | AXORI documentation · models · pricing · IT regulatory | Specific customer history · their assets · their performance · their choices |
| Memory | Current session only · zero persistence | 24-month decision history · trading patterns per customer |
| Does | Replies · orients · directs to demo CTA | Decides · executes trades · forecasts · proactive alerts |
| Real-time market | No · uses static knowledge 2024-2025 | Yes · hourly PUN · 48h weather · 7 EU markets · TERNA MSD |
| Example query | "What is MSD?" · "How much does Asset Management cost?" | "Customer C BESS: what are you doing tonight?" · "Show me Customer B P&L Q3" |
| Cost | Free · max 15 messages/h | Included in all plans · unlimited |
Want to try Atlas Site Assistant now? Click the button bottom-right (Atlas icon). Replies to any question about AXORI in real time.
A day in Atlas' life
What Atlas does in real time
Example of a standard operating day on the AXORI portfolio. Every decision is logged and auditable.
06:30
Refresh weather forecast + 24h PV/wind production prediction
08:45
Submit MGP offer for next day · 24 hour bands + market zone
11:00
MGP results · recompute strategy for intra-day MI
14:30
Decision: current PUN €142/MWh · sell extra 30% PV surplus over PPA
17:15
Customer C BESS: forecast Terna MSD call · hold 60% SoC for evening
21:00
MSD execution: sell 40 MWh secondary band at €198/MWh
23:50
Daily settlement · generate per-customer P&L · prep morning report
Data sources
What data Atlas uses
6 data sources combined in real time. No magic · just many inputs + a good decision model.
Hourly PUN (Day-Ahead Market)
7 EU markets (DE, FR, AT, CH, ES, GR, SI)
48h weather forecast (Open-Meteo + ECMWF)
12-month asset production history
Customer consumption patterns (if onsite PPA)
Applicable regulatory constraints (AXORI holds no UdD/MSD/Capacity qualification)
Atlas vs static strategy
Why "fixed thresholds" aren't enough
Traditional management uses rules like "sell if PUN > €100/MWh". Atlas decides case by case.
❌ Static strategy (fixed rules)
Example
“If current PUN > €110/MWh → sell all PV surplus. Otherwise hold in battery.”
- ❌ Doesn't look at weather forecast (sell now but rain comes → better wait)
- ❌ Doesn't consider MSD opportunities (could sell €198/MWh in evening)
- ❌ Doesn't differentiate per asset (PV north ≠ PV south ≠ BESS ≠ wind)
- ❌ Doesn't learn from customer historical data
✅ Atlas (contextual decision)
Same case
“Current PUN €110/MWh, but forecast 14:00-17:00 raises to €142/MWh (heat wave + low national wind production). Also this BESS likely MSD-called at 19:00 (€185/MWh). Decision: sell 30% now, hold 70%.”
- ✅ Combines weather forecast + PUN prediction + MSD opportunities
- ✅ Decides per specific asset (zone, type, contract)
- ✅ Learns from per-customer historical patterns
- ✅ Result: +12% average margin vs fixed rules
Want to see Atlas in action?
Live dashboard demo, real examples on assets similar to yours, Q&A.
Request Atlas demo