AI Agents for Renewable Energy Projects
Plan, procure, and operate with sub-hourly resolution and your market’s actual rules built in.
10 GW+ of projects and $1B+ in energy decisions simulated for industries carrying the grid’s largest loads
S5 looks strongest. Hold 70% RE offset under a $40M capex ceiling — what breaks?
AI Copilot · grounded in 3 sources
- SimulateRe-run TEIP at $40M ceilingrun #482
- TariffRe-price on the ToD orderMSEDCL 2024/17
- FinanceCheck DSCR headroomterm sheet v3
Equity IRR
13.1%
LCoE
$57/MWh
DSCR
1.38
Proven on the loads that carry the grid, from pilots with IPPs to C&I consumers.
10 GW+
Solar & wind simulated
4 GWh
Battery storage modelled
$1B+
Energy decisions run
5
Heavy-load industries
- & more
- C&I energy consumers
- IPPs & developers
- Advisors & consultants
- Financiers & investors
- Traders & market desks
- DISCOMs & utilities
The AI Copilot for energy decisions
Ask anything in plain language, or set it loose. The Copilot works across the platform, running simulations, automating workflows, and watching markets and regulations.
- PlanSweep capex $34–42M over 7 scenariosRunningS5 best · IRR 14.4%
- ProcureScore 3 vendor responses on your loadQueuedVendor B · 91/100
- OperateReprice tomorrow’s day-ahead bid curveQueued96 blocks priced
Watching
- IEX DAM · evening peak+$8/MWh
- MSEDCL ToD orderRevised
Works across every module
Describe the outcome. The Copilot drafts the scenarios, runs the sweeps, and iterates autonomously.
Custom workflow automations
Turn any repeatable task into a standing automation: run on schedule, results handed back.
AI-based monitoring
Agents watch your portfolio, markets, and regulations, flagging what changed and what it does to your numbers.
Grounded and cited
Every answer runs the model and cites its sources: the simulation, the tariff order, the market series.
The whole lifecycle, on one screen
Plan the right project, procure it with confidence, operate it at sub-hourly granularity: one data model, end to end.
RE offset target: 65% · State: Tamil Nadu
Engineered for the complexity
your projects actually face
Multi-scenario simulation
Co-optimise solar, wind, and storage across dozens of scenarios, with Monte Carlo sweeps to stress-test each one.
Regulatory-first modelling
Every simulation runs on the market's actual rules: settlement, banking, open access, RPO. Never annual averages.
End-to-end coverage
Planning to procurement to live market operations: one platform across the whole project lifecycle.
Intuitive network modelling
Sketch buses, feeders, and injection points. The engine builds the power-flow model, evaluated at every node.
AI & market intelligence
Block-level price forecasts, capture-rate optimisation, and agentic AI that reads tariff orders in plain language.
Hands-on support
Software with a team behind it: specialists set up projects, validate assumptions, and pressure-test results.
Energy science is universal, the policies are built in
Settlement regimes, tariffs, and incentives enter the engine as constraints and price signals, so one platform speaks every market’s language, natively.
One engine · three continents · live in India, the US, and Europe
The world’s most granular power market
India settles electricity every fifteen minutes, across day-ahead, green, and real-time exchanges, priced against twenty-eight state rulebooks, no two alike. EarthSync was built here, in the deep end. That is why it models the block, not the average.
What the engine encodes
- IEX DAM, GDAM, and RTM forecasting
- 28 state open-access, banking, and wheeling regimes
- ToD tariffs and RPO obligations as hard constraints
- Sub-hourly DSM deviation-band economics
Energy is scaling worldwide, and the tooling to model it rigorously hasn’t kept up
9–18 months
for a large consumer to sign a single renewable agreement, most of it spent reconciling numbers nobody fully trusts.
Sub-hourly
settlement is the reality of modern power markets. Value is won and lost in intervals annual averages hide.
$100M+
rides on one project’s capex, tariff, and IRR calls. Small modelling errors compound across a portfolio.
20–30%
Revenue loss
of a battery’s revenue is forfeited when schedules run on rules of thumb instead of price-aware optimisation.
Every 1%
of avoidable network loss compounds into millions when grids are planned on annual balances, not power flows.
EarthSync closes the gap: one model, from plan to procurement to live operations.
The work behind the numbers
EarthSync in the news
Ready to optimise your
energy strategy?
10 GW+
Solar & wind simulated
4 GWh
Battery storage modelled
$1Bn+
In energy decisions