app.neura.energy/portfolio/overview
Distributed energy assets can earn more per MW than utility-scale, but bespoke underwriting and management requirements have left them largely uninvestable at portfolio scale. Neura's EASOS changes that.
EASOS models PPA rates against live grid tariffs, stacks every revenue stream — self-consumption, export, demand-charge savings, VPP trading — and shows the investor-grade numbers that turn a proposal into a signed contract.
Distributed energy earns more per MW than utility-scale, and the advantage is widening as grids constrain and batteries enter the mix. But each site needs bespoke underwriting, contracting and management — transaction costs that don't scale have kept institutional capital out.
EASOS applies agentic systems and cutting-edge energy modelling to collapse the cost of underwriting and operating distributed assets — unlocking behind-the-meter energy as an investable, scalable asset class.
Circumvent grid restrictions on asset deployment. Capture fast-growing revenue from local flexibility markets.
Managed, funded smart energy solutions that meet electrification needs while saving on cost — zero upfront capital.
AI agents handle the repetitive, data-heavy work that makes distributed energy expensive to underwrite and operate. Every stage runs autonomously, validates its own outputs, and flags what it can't resolve.
Upload any consumption file — CSV, Excel, PDF — and AI agents parse the structure automatically. Merged headers, inconsistent date formats, mixed units, missing intervals: resolved without manual intervention.
Agentic research and data analysis allows for immediate quotations at tolerable risk levels. Credit checks, company filings, and financial health indicators are gathered and assessed without manual due diligence cycles.
Automated retrieval from Elexon BMRS, PVGIS, EPEX Spot, and regulated tariff databases. Settlement prices, irradiance data, and tariff structures are fetched, validated, and cached.
Upload manufacturer datasheets as PDF or images. Extracts rated power, efficiency curves, temperature coefficients, and degradation factors into structured specifications ready for modelling.
Real-time agentic control across every site simultaneously. The system stacks contracted supply, balancing services, and flexibility markets — optimising revenue without human-in-the-loop.
Fault detection, performance benchmarking, and automated investor reporting across hundreds of sites. Anomalies are flagged before they impact revenue.