Reduce your Electricity Cost and Emissions
AI that acts on real-time price and grid signals, automatically.
Your power bill is bigger than it needs to be - and you can't prove it's clean.
Cost
You're losing money
3% of energy savings are lost to human error in demand scheduling (ISTS) and 6% of paid renewable power is lost in lapsed banking (InSTS) — and it repeats every single cycle.
Control
You can't act in time
RE Generation and Facility Load data never meet in one place, so nothing can optimise real-time for battery storage and wholesale market arbitrage.
Proof
You can't prove it
When an auditor — or a tenant's ESG team — asks for block-level proof, stitched-together records don't pass global sustainability frameworks.
Electricity management systems are changing.
Price Signals and Sustainability Frameworks reward absorbing Clean Energy's supply-demand volatility. An AI infrastructure can act on this volatility.
Price Signals
State Grids are tightening energy-banking blocks. Time-of-day tariffs now reward real-time load-matching and battery-based peak-hour savings.
AI Enablement
Integrated data across your electricity vendors and facility loads unlocks AI-powered tools for cost and workflow optimisation.
Emission Accounting
CBAM, GHGP, SBTi and RE100 programmes are evolving from annual and global offset to real-time and local grid offset.
LineSteer is the AI layer for clean energy infrastructure.
A live context layer — the MCP (Model Context Protocol) — runs two passes per 15-minute block: forward to dispatch at least cost, backward to settle what happened. Both write to one source of truth for Agentic Tools — Linesteer's, yours and your auditor's.
How we cut your electricity cost.
Each 15-minute block, LineSteer allocates load across solar / wind PPAs, stores the surplus, or buys the shortfall — whichever costs least, for what your PPAs allow.
deviation > band → fix before gate.
3% → ≤1% human error
Forecast Banked Quantum and Optimise (6% savings recovery)
surplus → store → discharge at peak.
Use BESS to minimise deviation and reduce peak-hour electricity cost.
Wholesale (Landed) < DISCOM → buy shortfall.
~6% on wholesale procurement
Let's build the infrastructure to
consume cleaner and cheaper power.
Tell us your priority — cost, control, or proof — and we'll shape the first pilot around it.
- GenerationAPI integration for Generation forecast | Settlement Report | Receipts
- DemandFacility Demand forecast | Electricity Bill
- Wholesale TraderAPI integration to receive shortfall signal- time and quantum
Infrastructure
- Scheduling errorPotential ≤1%, from 3% today (ISTS)
- Banking lapseUp to 6% recoverable (InSTS)
- Real-time wholesale buy~6% lower energy bill, potential
From you — connect the three streams above (API or manual), and name a Project Champion for weekly coordination.
Start with one site — read-only feeds, advisory only, zero risk to uptime.
Operators of the Indian RE market and builders of AI Native platforms.
Ismail Ahmed
Leads business development, regulatory liaising, customer success and strategic planning. 8+ years with Fourth Partner Energy across India+APAC, and contracted as Transaction Specialist for Apple.
Michael Kevin Victor
Leads data architecture, product development and data security. 10+ years building real-time data platforms and enterprise systems. Founded Commutatus, a Bangalore-based digital agency, and consults on technology strategy. Leads a 30-person full-stack team supporting LineSteer.
2 leads
Today — CEO & CTO, hands-on through pilot.
+2 scheduling managers
Hired post-pilot to run live operations.
30-person full-stack support
Commutatus engineering bench — deployment, integration and on-call.
Book your pilot call.
Reduce your electricity cost and emissions with AI Infrastructure.