Mastering time-series data not only avoids costly downtime in large-scale infrastructure operations, but also allows customers to take advantage of predictive and prescriptive analytics on processes or forecasted events to optimize outcomes and mitigate risks.
Financial highlights for Q2 – 2022 ended
- The Company recognized a Comprehensive Loss of $
$615,206 in Q2 – 2022, down from$687,152 in Q1 – 2022. - The Company recognized Revenue of
$362,880 in Q2 – 2022, down slightly from$380,970 in Q4 – 2021. - The Company's Loans and Debentures totalled
$511,020 in Q2 – 2022, up slightly from$506,899 in Q1 – 2022 due to accrued interest. - Cash on Hand of
$1,553,457 in Q1 – 2022 is down from$2,066,322 in Q1 – 2022. The Company estimates it has enough Cash on Hand to fund operations at current levels for a minimum of 1.25 years based on projected expenditures.
Operational highlights for Q2 – 2022 ended
- On
October 4 , the Company published a customer case study withNew Jersey -basedCSL Services Inc. The customer stated that the Company's FlowWorks I&I Analysis Tool in an invaluable component of its toolkit that decreases engineering time spent on flow monitoring studies. - On
October 28 , the Company announced annual results for its fiscal year endedJune 30, 2021 that underlined a positive transformation led by a$3,886,650 increase of Shareholder Equity of over the previous year. - On
November 24 , the Company announced that new products were being Beta-tested with large enterprise infrastructure customers acrossNorth America , and those products would be launched commercially in calendar year 2022. Those products are:
Auto QA/QC: Auto QA/QC isCarl Data Solutions' latest Machine Learning (ML) technology for automatically cleaning and performing Quality Assurance (QA) and Quality Control (QC) on time-series data derived from sensors.
The automation aspect of Auto QA/QC detects and prevents bad sensor data from generating results or triggering alerts. At the same time, Auto QA/QC flags legitimate data anomalies that may require further investigation by infrastructure engineers.
Auto I&I: Auto I&I isCarl Data Solutions' newest technology for Inflow & Infiltration required by municipal water treatment plants. Auto I&I detects storm events that match defined rainfall criteria.
It also capitalizes on Auto QA/QC to prevent bad sensor data from distorting results. By automating I&I data gathering and reports, municipal water treatment engineers will quickly see which areas of their systems are most impacted by a storm event, and visualize real-time I&I metrics on a Geographic Information System (GIS) map.
EMaaS: EMaaS is Carl Data Solutions' most advanced technology platform required by Smart City and industrial applications desiring the foresight of predictive analytics to protect compliance-driven infrastructure operations.
Driven by time-series data that is essential to understanding statistical anomalies, our EMaaS solution will be deployed to monitor environmental changes that affect critical infrastructure. EMaaS fuses on-site sensor-driven data with a myriad of third-party atmospheric, seismic and geographic data streams.
Management commentary and forward-looking statements
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