Carl Data Solutions (CRL.C) partners with AGORACOM platform for online investors

03/03/2021

On March 3, 2021 Carl Data Solutions (CRL.C) announced that it has partnered with an online digital network, AGORACOM – a leading market platform that connects investors with public companies.

Carl Data Solutions is an Industrial “Internet of Things” (IIoT) and Big Data as a Service (BDaaS) company that provides next generation collection, storage and analytics solutions for data-centric organizations.

The Internet of Things refers to the exploding network of physical objects that have an IP address for internet connectivity, and the communication that occurs between these objects.

It may not be intuitively obvious why a toaster-oven needs to converse with a rectal thermometer – but IoT is a big thing.

Forecasts by Statista suggest that the market will grow to around 1.6 trillion by 2025.

“Data generated from sensors attached to machines on factory floors worldwide enables a supply chain manager to remotely pinpoint potential problems,” writes Margaret Harris of Oracle, “Meanwhile, artificial intelligence algorithms sift through current and historical data to predict and automatically schedule machine maintenance—and let the service tech know exactly which tools are needed—substantially reducing downtime.”

Carl Data works with new cloud-based mass storage services and machine learning (AI) analytical tools to provide the scalability required to effectively monitor large amounts of data collected by both government and industry.

The software suite saves clients time and money by aggregating information from any sensor or source to create a real-time decision support system with deep insights into how to protect infrastructure and assets.

AGORACOM specializes in providing online Investor Relations and Marketing to Small Cap Companies and has over 300 companies currently on its platform.

With an average of 55 million page views per year, and an average read time of over 8 minutes, the platform is a forum for public companies, shareholders and prospective shareholders to have open discussions in a controlled environment.

CRL will receive significant exposure through continuous brand impression, content marketing, search engine marketing and social media engagement throughout the entire AGORACOM network.

“Carl Data Solutions provides a suite of software tools called Flow Works, that are used by municipalities to help manage their wastewater infrastructure,” states CRL, “The tools pull data from various sensor channels that measure variables such as water flow, velocity, and depth”.

“These sensors sometimes malfunction or behave unexpectedly, causing skewed readings. Since forecasting models are built on top of these sensors, skewed data can negatively influence accuracy.

Due to the overhead in time and cost, Carl Data was interested in building an anomaly detection model to automate the identification of these errors”.

Anomaly Detection ML Methodology

Model #1 : Outlier Detection (Unsupervised)

  1. Read in raw historical data from the velocity sensor channel.
  2. Read in the tagged anomalies from the curated velocity sensor channel data.
  3. Send the raw data to the Microsoft Anomaly Detection API to tag outliers.
  4. Score outlier model using Anomaly Detection API results against the ‘manually tagged anomalies.’

Model #2: Binary Classifier (Supervised)

  1. Read in raw historical data from the velocity sensor channel.
  2. Read in and merge the tagged anomalies from the curated velocity sensor channel data.
  3. Create a historical window of the previous four velocity channel readings values at each time.
  4. Create a train and test set from a random split on the historical windows.
  5. Train a random forest classifier on the train data.
  6. Benchmark the random forest on the test data.

Model #3: Hybrid Classifier (Differentiate Between Anomalies and Outliers)

  1. Read in raw historical data from the velocity sensor channel.
  2. Read in the tagged anomalies from the curated velocity sensor channel data.
  3. Send the raw data to the Microsoft Anomaly Detection API to tag outliers.
  4. Create a historical window of the previous four velocity channel readings values at each time using only the values marked as outliers.
  5. Create a train and test set from a random split on the historical windows.
  6. Train a random forest classifier on the train data.
  7. Benchmark the random forest on the test data.
  8. Benchmark the random forest on the entire velocity time series excluding the training set.

On February 11, 2021 Equity Guru’s Jody Vance talked to Carl Data Solutions CEO Jean-Charles Phaneuf.

“My top priority in the first 100 days is to clean up the balance sheet,” stated Phaneuf, “Too much debt in my point of view, and I wanted to resolve that.”

“Admittedly, data monitoring, visualization, and prediction doesn’t necessarily seem sexy in the way that ‘we’re gonna put psychedelics in your cereal’ sounds sexy,” wrote Equity Guru’s Chris Parry on February 3, 2021, “but this deal has managed to jack its revenues by between 50% and 100% annually for the last three years, so there’s something here”.

“What Carl Data Solutions does specifically, right now, is focuses on mining, water utilities, and the oil and gas industry, though it’d be a short step to plug into just about any business,” added Parry.

“They monitor, set alarms, and provide predictive analytics for tailings ponds, and air quality, water quality, wastewater overflows, risk mitigation, they have advanced analytics and modeling, they can help you deal with risk assessment, capital project planning, remediation, infrastructure, capacity testing, and regulatory compliance”.

“Do you know what it costs to deal with a burst dam, or an hour added to a morning commute, or arsenic in the groundwater? You’re not saving ten bucks by spending five bucks here, you’re saving literal millions by spending five digits. and when your clients are government bodies, you will never not get paid.

Government pays its invoices as a standard way of doing business. If you have government-based monthly recurring revenue, you are making money, not chasing money.

And if you’re plugged into these systems in a way that makes those cities better, you will never lose a client. Indeed, Carl retains 97.5% of its clients annually.

They’re also building revenue, from 2017’s $1.2 million to $1.6 million in 2018, $3.2 million in 2019, a whopping $5.5 million during a pandemic!” – End of Parry.

“I believe this partnership will be a major improvement to our business communications with stakeholders,” stated Carl Data’s CEO, Jean Charles Phaneuf, “because I feel that AGORACOM’s ‘think outside the box’ approach to Investor Relations is a fresh look and feel for the company’s communication outlets.”

Carl Data has agreed to pay AGORACOM a total of $100,000 for one year of its services.

Full Disclosure: Carl Data is an Equity Guru marketing client

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