Wattif
PlatformSite Intelligence

Site intelligence

Every document, every sensor, every conversation makes the agents smarter.

Three ways to feed intelligence. AI parses everything into structured operational knowledge. The more context the agents have, the better they perform.

Intelligence inputs

Three paths in. One knowledge graph out.

Intelligence path

Upload documents

AI reads, extracts, and structures operational knowledge from any document type. No templates. No forms. Just upload.

·AI reads SLD drawings and maps panel hierarchies
·Parses utility bills into demand, consumption, tariff components
·Extracts equipment specs from datasheets and nameplate photos
·Pulls contract terms, expiry dates, auto-renewal traps

Accepts

SLD drawingsUtility billsEquipment manualsSite photosContractsFloor plans

What AI extracts

Every document becomes structured intelligence.

Upload once. AI reads, extracts, cross-references, and stores. The knowledge compounds. Every new document enriches what the agents already know.

Input

Upload an SLD drawing

AI extracts

AI maps 89 circuits to 12 panels, identifies load types, builds electrical hierarchy. Panel relationships extracted. Feeder capacities documented.

Input

Upload a utility bill

AI extracts

AI decomposes into demand charges, consumption tiers, network fees, tariff structure. Identifies billing anomalies. Compares against interval data.

Input

Send a nameplate photo

AI extracts

AI extracts model number, rated capacity, efficiency rating, manufacture date, refrigerant type. Cross-references with equipment database.

Input

Upload an energy contract

AI extracts

AI pulls contract start, term length, renewal date, rate structure, exit fees. Flags auto-renewal traps. Calculates days to decision point.

Knowledge depth

Nine dimensions of operational intelligence.

Each dimension fills independently. Documents, sensors, and conversations all contribute. Agents perform better as coverage deepens across every dimension.

Electrical

85%

Panel hierarchy, circuit mapping, feeder capacity

Spatial

72%

Zones, floors, areas, space-to-circuit relationships

Equipment

90%

Make, model, capacity, age, efficiency ratings

Energy

95%

Consumption patterns, baselines, load profiles

Operations

78%

Schedules, shift patterns, seasonal adjustments

Contracts

45%

Tariff structure, expiry dates, retailer terms

Photos

60%

Nameplate data, installation quality, site conditions

Install

100%

Sensor placement, commissioning, pairing status

Context

82%

Operator knowledge, repair history, business drivers

Intelligence compounds. Start feeding it.

Every document uploaded, every sensor connected, every conversation completed makes the agents more effective for your operation.

Get started