Sensewaves provides Adaptix.Grid, a pure‑software AI analytics platform that ingests existing GIS, AMI and SCADA data to reconstruct high‑resolution LV/MV network topology, load‑flow and voltage quality without additional hardware. The platform delivers real‑time operational insights, scenario‑based planning, demand‑response coordination and predictive asset health scores through a web dashboard and open REST/GraphQL APIs for integration with ADMS/DERMS tools.
Funding
$150K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Distribution System Operators often rely on fragmented, low‑resolution data sources (GIS, AMI, SCADA) that provide incomplete visibility of network topology, load flows, and asset health. This data scarcity hampers accurate planning, real‑time control, and predictive maintenance, especially as distributed energy resources increase grid complexity.
Solution
Sensewaves delivers Adaptix.Grid, a pure‑software AI analytics platform that ingests existing grid data and generates high‑resolution, end‑to‑end visibility of electricity flows and congestion across low‑ and medium‑voltage networks. Proprietary machine‑learning models fuse sparse measurements to reconstruct topology, estimate load flow, and assess voltage quality without additional hardware. The platform supplies operators with actionable insights for grid reinforcement, real‑time dispatch, and condition‑based asset management. Integrated modules enable scenario‑based planning, demand‑response coordination, and automated failure prediction, all accessible through a web‑based dashboard and open APIs for seamless integration with existing ADMS/DERMS tools. Deployment can be completed within weeks, turning legacy data into a reliable decision‑support engine.
Features
- AI‑driven Connected GIS that infers complete LV/MV topology, phase allocation, and asset relationships from GIS data alone, achieving >95 % accuracy for LV and >99.5 % for MV networks.
- Load Flow Analysis module providing real‑time and historical load‑flow, voltage‑quality, and congestion metrics at any asset level using only smart‑meter or AMI data.
- Grid Planning & Distribution Design tools for congestion testing, voltage‑quality assessment, and expansion scenario analysis with multi‑year forecasting.
- Real‑time Operations & Management suite delivering load forecasts, outage alerts, and demand‑response triggers, integrated with DERMS workflows.
- Hybrid AI‑based Failure Prediction delivering context‑aware asset health scores, remaining‑useful‑life estimates, and root‑cause diagnostics for transformers, cables, and switchgear.
- Asset Investment & Maintenance Manager that co‑optimizes budget, reliability (SAIDI/SAIFI), and ROI across inspection, replacement, and repair schedules via a map‑based UI.
- Open REST/GraphQL APIs and native connectors for GIS, ERP, and planning software, enabling data exchange and workflow automation.
- Cloud‑native architecture with end‑to‑end encryption, role‑based access control, and scalable compute for networks serving millions of customers.