We make AI tools to turn data centre decision-makers into powerful data engineers

By putting data analytics at the heart of Data Centre (DC) operations, TycheTools provides immediate energy savings and the insights operators need to transform their businesses

Ultra fast thermal audits of computer rooms

Automatic detection of zombie servers

Automatic detection of attacks / early detection of HW failures

We deliver this value proposition through a proprietary ecosystem - software, firmware and sensors - that is easily integrated into existing DC management platforms

More accurate and richer information

Safer approach (no single point of failure - more redundancy)

Sensor network deployment ultra-easy and fast

WHY TYCHETOOLS

TycheTools provides immediate energy savings and the insights data centre operators need to transform their businesses

1 IN 4 SERVERS PROCESSES NO DATA

'Koomey Analytics and Anthesis, 2017'

This means

IT ENERGY WASTE
25%
GLOBAL AVERAGE PUE

'Uptime Institute, 2019'

1.65

This means

COOLING ENERGY WASTE
33%

POTENTIAL ENERGY SAVINGS > 50%

DC energy consumption represents 20% of TCO and up to 50% of OPEX

DC energy consumption is a rapidly growing contributor to climate change

To address these challenges DC operators need to optimise and automate mission-critical business functions like cooling control, inventory and predictive maintenance

OUR SOLUTIONS

Data Driven Data Centres

TycheTools’ immediate value proposition leverages proprietary software, firmware and sensors to optimise DC cooling and automate inventory, delivering immediate, measurable savings through reductions in PUE and much greater operational efficiency

Our “correct by design” sensors provide more —and more accurate— measurements than Schneider’s industry standard sensors; they also offer higher security and avoid single points of failure, key value propositions for critical infrastructures like data centres

Our software and algorithms can be deployed over existing sensor setups, enabling clients to realize immediate energy savings and basic optimisation without further HW investments

Our early focus on cost savings and observability put all the tools in place for future business transformation

Our software and analytics will ultimately allow clients to optimise and automate all aspects of DC operations

  • OPEX-based
  • Nonintrusive, no service disruption
  • 15% - 50% energy savings

Initial pilots have shown >20% energy savings using our software and trained algorithms, with more possible as our products develop

HOW

DYNAMIC INFRASTRUCTURE OPTIMISATION


  • Dynamic cooling control accounting for periods of inactivity.
  • In colocation, optimum clustering of customers in rooms or containers and optimal customer allocation.
  • Automatic management of energy storage,renewable generation and workload distribution to minimise energy cost.
  • Recommendations for infrastructure improvements accounting for resource utilisation under their actual workload.

DYNAMIC IT OPTIMISATION


  • Optimising servers for their workload by assessing performance and consumption of both IT energy and cooling energy.
  • Global management of low-power modes (DVFS and/or standby and/or power-off).
  • Workload allocation policies to minimise cooling requirements.
  • VM/container consolidation strategies to minimise total energy consumption while ensuring SLA compliance.
  • Federated workload distribution taking into account cooling requirements.

DYNAMIC BUSINESS OPTIMISATION


  • Understand key differences in customer and service profiles, taking into account resource demand, behaviour over time and revenue generation.
  • Understand the profitability of different customer and service profiles in order to develop better commercial strategies.
  • Optimised partnership or federation decisions.

TycheTools' highly scalable predictive analytics platform generates transformational insights for data centre operators

CLIENT FEEDBACK

2019 Adam Data Centres


Applying only our automated Cooling Control algorithm, TycheTools obtained for our client total energy consumption savings of approximately 20%

We deployed a dense network of our Iris [TM pending] wireless sensors covering hot and cold aisles, as well as measuring cooling systems' supply and return temperatures, developing high-precision thermal maps of the rooms within minutes

Sensors are optimised to minimise power consumption, with a button battery lasting at least 3 years

Data from this sensor network was used to train advanced neural networks to generate efficient and accurate predictions [Mean Absolute Error < 3,5%, 5 minutes in advance] about thermal behaviour and power consumption. This level of accuracy allows dynamic adjustment of cooling system set points to minimise cooling power and maximise energy saving


"Using TycheTools, Adam can optimize energy efficient modular data centres, and Adam's customers can be confident that the operations management is both accurate and supported by state-of-the-art technology."

"At Adam, we value the security of our customer's data, so we rely on TycheTools solutions to provide a secure environment for data acquisition and analysis."


José Mejías

CEO Adam

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