OptimiseAI Revenue and Competitors
Employee Data
- OptimiseAI has 13 Employees.
- OptimiseAI grew their employee count by 44% last year.
OptimiseAI's People
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OptimiseAI Competitors & AlternativesAdd Company
Competitor Name | Revenue | Number of Employees | Employee Growth | Total Funding | Valuation |
---|---|---|---|---|---|
#1 | $114.4M | 453 | 6% | N/A | N/A |
#2 | $0.5M | 5 | -29% | N/A | N/A |
#3 | $11.3M | 62 | 7% | N/A | N/A |
#4 | $12.9M | 87 | 24% | N/A | N/A |
#5 | $16.4M | 91 | 15% | N/A | N/A |
#6 | $9.3M | 44 | -12% | N/A | N/A |
#7 | $137.6M | 545 | 70% | N/A | N/A |
#8 | $11.5M | 63 | 5% | N/A | N/A |
#9 | $15.8M | 86 | 13% | N/A | N/A |
#10 | $20.6M | 102 | N/A | N/A | N/A |
What Is OptimiseAI?
Optimise is transforming building energy management through its ground-breaking virtualized BMS technology, which harnesses the power of digital twins and building data to optimize energy usage and minimize carbon emissions in buildings.\n\nOptimise AI enables you to create various scenarios for your buildings, that will allow you to make informed decisions on whether potential actions will give benefit and to what extent.\n\nThese scenarios simulate results for future operations of the building, showing impact of changes over time!\n\nOptimise AI provides a holistic and accessible approach to your energy savings and carbon reduction, tailored to your preferences, previous data availability, and individual circumstances:\n\n1. Data acquisition\n\nOptimise AI conducts site analysis & collects any additional information needed from the user (for example, the building owner or the Facilities Manager).\n\nOptimise AI then determines the best methodology to set up a Digital Twin.\n\n2. Digital Twin creation\n\nOptimise AI creates a Digital Twin using the data from: BIM (Building Information Model), BMS (Building Management System)\n\n3. Simulation\n\nOptimise AI creates bespoke energy simulation models to forecast energy usage and carbon emissions, on various levels of granularity: buildings, blocks, floors, and spaces.\n\n4. Optimisation\n\nOptimise AI uses the simulation data and fine-tunable Machine Learning models to:\n- set energy and carbon saving scenarios\n- run optimisations\n- provide control instructions to the Facilities Manager.\n\n5. Actuation\n\nThe building owner or Facilities Manager operates the building via Digital Twin to generate new savings forecast. Optimise AI can reduce valuable time & resources spent using the automation manager.
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Total Funding
13
Number of Employees
N/A
Revenue (est)
44%
Employee Growth %
N/A
Valuation
N/A
Accelerator
Company Name | Revenue | Number of Employees | Employee Growth | Total Funding |
---|---|---|---|---|
#1 | N/A | 13 | 117% | N/A |
#2 | $2.3M | 14 | N/A | N/A |
#3 | $2.5M | 15 | -25% | N/A |
#4 | $1.3M | 15 | -17% | N/A |
#5 | $1.4M | 15 | 0% | N/A |