EnergiSensEI
EnergiSensEI is LTTS' energy and sustainability platform for industrial plants. Leveraging engineering physics, the solution verifies your plant data before AI acts on it, ensuring that the resultant reports, decisions, and savings hold up to scrutiny.
Reduce energy costs, simplify compliance, and improve operational efficiency with a platform designed for industrial environments. Gain complete visibility across energy, water, emissions, and sustainability performance through a single, engineering-verified platform.
Most energy AI blindly trusts data. EnergiSensEI verifies it first.
Most energy AI solutions are confidently wrong
Training AI models on raw plant data makes it learn the plant's trends and mistakes. It then keeps recommending the same patterns with full confidence.
Meters drift. Dashboards believe them.
A mis-calibrated meter can report a false problem for weeks before users downstream question it
Sensors go dark. The AI keeps talking.
Unverified data-led training and the recommendations built on a sensor that was offline half the month continue to arrive with full confidence
Three vendors, three numbers.
The meter company, the software vendor, and the consultant each quote a different saving — and no one owns the gap
It is not just an energy bill anymore.
Energy data has become business-critical. It affects financial performance, regulatory reporting, investor confidence, and access to sustainability-linked capital
The result: A savings number that nobody can defend.
Tell Us What You’re Looking For in EnergiSensEI
Handpicked for You
Five Agents, One Verified Pipeline
Each EnergiSensEI agent works only from data that has already passed the physics check.
Optimizer: Watches live operations and flags where energy is being wasted right now
Trends: Reads historical data to forecast demand and catch problems before they hit the P&L
Insights: Answers plain-language questions about your plant, grounded in your own data
Reports: Produces audit-ready daily, weekly and monthly reports automatically
Dashboard: Builds and updates executive and shop-floor dashboards — no developer needed
Where It Goes to Work
The same verified pipeline, wherever energy loss is costly and the cause is hard to pin down.
What EnergiSensEI does
Finds leaks against a verified baseline, not raw sensor noise
Outcome
Less leakage
What EnergiSensEI does
Tunes set points to real conditions instead of a fixed schedule
Outcome
Lower energy use
What EnergiSensEI does
Traces a fault to its physical cause, fast
Outcome
Faster diagnosis
What EnergiSensEI does
Forecasts demand and flags losses across every site from one pipeline
Outcome
Portfolio-wide savings
What EnergiSensEI does
Automates ISO 50001 cycles and emissions tracking
Outcome
Audit-ready
What EnergiSensEI does
Spots drift and loss even where instrumentation is thin
Outcome
Loss prevention
Deployed across manufacturing, process industries and utilities
Resources
Architecting Operational Intelligence for Energy & GHG Emiss...
LTTS unified monitoring across 44 upstream assets - unlocking $20-30M in energy optimization value and 3-5% YoY GHG performance gains.
AI-Enabled Precise ESG Insights Across 1,000+ Operational Si...
LTTS unified ESG reporting across 1,000+ sites, delivering 100% traceability, 80% effort reduction, and enabling $100M in green financing.
Energy Savings You Can Trust
EnergiSensEI combines engineering-verified AI, industrial intelligence, and sustainability analytics to optimize energy usage, reduce costs, and simplify ESG.
Unlike most energy AI, which trains directly on raw plant data (including sensor drift and errors), EnergiSensEI verifies every meter and sensor reading against engineering physics before the AI learns from it, so recommendations are never built on bad data.
Typical results are 5–15% energy and water reduction with a payback period of under 3.5–4 years, based on deployments across 1,000+ industrial sites.
Yes. The Optimizer agent watches live operations and flags where energy is being wasted as it happens, while the Trends agent reads historical data to forecast demand and catch problems before they hit the P&L.
Common use cases include compressed air leak detection, HVAC and thermal set-point tuning, motor and rotating equipment fault diagnosis, and boiler and steam loss prevention, all benchmarked against a verified baseline rather than raw sensor noise.
No, it works with any meter or vendor already on the plant floor and integrates with systems already in use, such as SAP, Power BI, and SCADA/IoT, without a rip-and-replace approach.
Every meter and sensor reading is checked against engineering physics first, so drift, calibration errors, or offline sensors are caught before they reach the AI. Only readings that pass this physics check are used for training and recommendations, following a four-step Verify, Learn, Recommend, Act pipeline.
The platform's Sustain stage automates one-click ISO 50001 and emissions reporting, and the Reports agent produces audit-ready daily, weekly, and monthly reports automatically, cutting manual reporting effort by up to 70%.
Yes. It forecasts demand and flags losses across every site from a single pipeline, delivering portfolio-wide visibility and savings, and is already deployed at scale across 1,000+ industrial sites in manufacturing, process industries, and utilities.