Technology
TERAGO Reports Fourth Quarter and Full Year 2023 Financial Results
Published
2 years agoon
By
TORONTO, March 6, 2024 /CNW/ – TERAGO Inc. (“TERAGO” or the “Company”) (TSX: TGO), https://terago.ca/), today reported financial and operating results for the fourth quarter and fiscal year ended December 31, 2023.
“I am proud to report my second quarter since becoming CEO on June 12th, 2023. Our “Value Creation Strategy” accelerated delivery on behalf of customers, employees, shareholders – continued apace in the final quarter of 2023. In our prior earnings release I highlighted improvements across all of our key financial indicators. Today I am pleased to share that in the second half of 2023, we have continued the trend of strengthening these metrics.
Improvements in second half of 2023 as compared to the second half of 2022
Increased Adjusted EBITDA1,2 by 8%Improved positive cashflow from operations1 by 96%
In the second half of 2023, we delivered substantial financial wins that have afforded TERAGO the opportunity to reinvest in its transformation. This will drive a reenergizing of our top line. With new sales leadership in place and further growth investments anticipated, it is my intention to drive value as much from top line revenue growth as from cost optimization and careful management of our capital expenditures. TERAGO is extremely well positioned as a nimble, carrier-grade managed service provider of choice with differentiated frequencies, deep capabilities and a delivery track record in emerging growth areas. Smart, profitable growth will be a theme in 2024 and beyond,” said Daniel Vucinic, CEO.
Key Developments and Financial Highlights
Total revenues for the three months ended December 31, 2023, were $6.5 million compared to $6.3 million for the same period in 2022. Total annual revenue in 2023 was $26.1 million compared to $27.6 million in the prior year. The decrease of $1.5 million was the result of the prior year including one month of Cloud and Colocation and post transaction related support services (“Other Revenue”).Connectivity revenues were $6.5 million and $26.0 million, for the three months and year ended December 31, 2023, respectively. This is an increase of $0.2 million compared to same quarter prior year and $0.1 million compared to prior year annual.Adjusted EBITDA1,2, remained flat at $1.2 million for the three months ended December 31, 2023, compared to the same period in 2022. For the year ended December 31, 2023, Adjusted EBITDA1,2 decreased 17.1% to $3.4 million compared to $4.1 million for the same period in 2022. The decrease is the result of the prior year including one month of Cloud and Colocation Revenue ($1.4 million), partially offset by a reduction of overall operating expenses in the current year.Net loss increased to $3.6 million for the three months ended December 31, 2023, compared to a net loss of $2.4 million for the same period in 2022. Net loss was $13.2 million for the year ended December 31, 2023, compared to a net loss of $11.6 million for the same period in 2022. The increase in net loss was a combination of higher finance costs, lower total revenues, as described above combined with non-recurring costs associated with the staffing and management changes. These were partially offset by a reduction in overall operating expenses year over year.Gross Margin remained consistent year over year achieving 73.3% in 2023 compared to 73.1% in the prior year.Backlog MRR1 decreased year over year to $65,363 as of December 31, 2023, from $178,948 for the same period in 2022. The decrease in backlog MRR is the result of onboarding of new customers with improved installation processes yielding much faster installations which reduced the backlog due to installations exceeding new bookings in the year and combined with de-bookings of previously recorded orders due to technical, geographical and customer landlord limitations preventing fulfillment of the orders.ARPU1 for the connectivity business was $1,164 in Q4 2023 up from $1,127 in Q3 2023 and compared to $1,063 for the same period in 2022 due to changes in customer base and product mix and a new pricing strategy implemented in 2023 Q4. ARPU has been increasing every quarter for the past five quarters.
_________________________________________
(1)
See ” Non-IFRS Measures”
(2)
See “Adjusted EBITDA” for a reconciliation of net loss to Adjusted EBITDA.
Additional Management Commentary
“The Value Creation Strategy has gained sufficient traction and is already yielding tangible benefits. I expect that TERAGO’s efforts will be further buoyed by the addition of a permanent Chief Financial Officer, following the departure of the previous CFO due to personal family reasons after a brief tenure. A search is well underway for a permanent Chief Financial Officer, and I look forward to reacquainting the investor community with TERAGO and the Value Creation Strategy in the second half of 2024 following the integration of this key member of our team.
“In addition, we noted with great interest the consultation launched by Innovation, Science and Economic Development Canada with respect to license renewals impacting our 38 GHz and 24GHz bands, as well as the preliminary consultation launched on changes to our 24 GHz band. Like any wireless business, spectrum is our lifeblood. Reasonable long-term visibility and our ability to put our spectrum to work in a way that fosters a growing, competitive and knowledge-based economy is absolutely critical for us to be able to invest in our diverse and innovative service offerings. We remain fully engaged in this important process.”, said Daniel Vucinic.
RESULTS OF OPERATIONS
Comparison of the three months and year ended December 31, 2023 and 2022
(In thousands of dollars, except with respect to gross profit margin, earnings per share, Backlog MRR, and ARPU)
(unaudited)
Three months ended
December 31
Year ended
December 31
2023
2022
2023
2022
Financial
Cloud and Colocation Revenue
$
–
–
–
1,355
Connectivity Revenue
$
6,536
6,285
26,034
25,860
Other Revenue
$
–
50
18
407
Total Revenue
$
6,536
6,335
26,052
27,622
Cost of Services1
$
1,801
1,578
6,948
7,437
Selling, General, & Administrative Costs
$
4,577
3,980
18,430
19,188
Gross Profit Margin1
72.4 %
75.1 %
73.3 %
73.1 %
Adjusted EBITDA 1,2
$
1,190
1,164
3,435
4,077
Net Loss
$
(3,561)
(2,406)
(13,185)
(11,571)
Basic loss per share
$
(0.18)
(0.12)
(0.67)
(0.61)
Diluted loss per share
$
(0.18)
(0.12)
(0.67)
(0.61)
Operating
Backlog MRR1
Connectivity
$
65,363
178,948
65,363
178,948
Churn Rate1
Connectivity
1.0 %
0.9 %
1.1 %
0.8 %
ARPU1
Connectivity
$
1,164
1,063
1,125
1,085
(1)
See ” Non-IFRS Measures”
(2)
See “Adjusted EBITDA” for a reconciliation of net loss to Adjusted EBITDA.
Conference Call
Management will host a conference call on Thursday, March 7, 2024, at 10:00 AM ET to discuss these results.
To access the conference call, please dial 888-506-0062 or 973-528-0011 and use conference ID 572559 if applicable. Please call the conference telephone number 15 minutes prior to the start time so that you are in the queue for an operator to assist in registering and patching you through.
An archived recording of the conference call will be available through Thursday, March 21, 2024. To listen to the recording, call 877-481-4010 or 919-882-2331 and enter passcode 50012# if applicable.
(1) Non-IFRS Measures
This press release contains references to “Cost of Services”, “Gross Profit Margin”, “Adjusted EBITDA”, “Backlog MRR”, “ARPU”, and “churn” which are not measures prescribed by International Financial Reporting Standards (IFRS).
Cost of Services consists of expenses related to delivering service to customers and servicing the operations of our networks. These expenses include costs for the lease of intercity facilities to connect our cities, internet transit and peering costs paid to other carriers, network real estate lease expense, spectrum lease expenses and lease and utility expenses for the data centres and salaries and related costs of staff directly associated with the cost of services.
Gross Profit Margin % consists of gross profit margin divided by revenue where gross profit margin is revenue less cost of services.
Adjusted EBITDA – The Company believes that Adjusted EBITDA is useful additional information to management, the Board and investors as it provides an indication of the operational results generated by its business activities prior to taking into consideration how those activities are financed and taxed and also prior to taking into consideration asset depreciation and amortization and it excludes items that could affect the comparability of our operational results and could potentially alter the trends analysis in business performance. Excluding these items does not necessarily imply they are non-recurring, infrequent or unusual. Adjusted EBITDA is also used by some investors and analysts for the purpose of valuing a company. The Company calculates Adjusted EBITDA as earnings before deducting interest, taxes, depreciation and amortization, foreign exchange gain or loss, finance costs, finance income, gain or loss on disposal of network assets, property and equipment, impairment of property, plant, & equipment and intangible assets, stock-based compensation and restructuring, acquisition-related and integration costs. Investors are cautioned that Adjusted EBITDA should not be construed as an alternative to operating earnings (losses), or net earnings (losses) determined in accordance with IFRS as an indicator of our financial performance or as a measure of our liquidity and cash flows. Adjusted EBITDA does not take into account the impact of working capital changes, capital expenditures, debt principal reductions and other sources and uses of cash, which are disclosed in the consolidated statements of cash flows.
A reconciliation of net loss to Adjusted EBITDA is found below and in the MD&A for the three months and year ended December 31, 2023. Adjusted EBITDA does not have any standardized meaning under IFRS/GAAP. TERAGO’s method of calculating Adjusted EBITDA may differ from other issuers and, accordingly, Adjusted EBITDA may not be comparable to similar measures presented by other issuers.
The table below reconciles net loss to Adjusted EBITDA for the three months and year ended December 31 2023 and 2022.
(in thousands of dollars, unaudited)
Three months ended
December 31
Year ended
December 31
2023
2022
2023
2022
Net loss for the period
$
(3,561)
(2,406)
$
(13,185)
(11,571)
Foreign exchange loss
24
45
7
83
Finance costs
1,154
491
3,707
2,089
Finance income
(35)
(38)
(209)
(123)
Impairment loss on divested assets
–
–
–
107
Loss from operations
(2,418)
(1,908)
(9,680)
(9,415)
Add/(deduct):
Depreciation of network assets, property and equipment
and amortization of intangible assets
2,474
2,529
9,974
10,085
Loss on disposal of network assets
39
–
83
171
Impairment of other assets and related charges
64
147
297
750
Stock-based compensation expense
227
115
590
688
Restructuring, acquisition-related, integration and other
related costs
804
281
2,171
1,798
Adjusted EBITDA1
$
1,190
1,164
$
3,435
4,077
*Prior year figures have been adjusted to conform with current year presentation.
Backlog MRR – The term “Backlog MRR” is a measure of contracted monthly recurring revenue (MRR) from customers that have not yet been provisioned. The Company believes backlog MRR is useful additional information as it provides an indication of future revenue. Backlog MRR is not a recognized measure under IFRS and may not translate into future revenue, and accordingly, investors are cautioned in using it. The Company calculates backlog MRR by summing the MRR of new customer contracts and upgrades that are signed but not yet provisioned, as at the end of the period. TERAGO’s method of calculating backlog MRR may differ from other issuers and, accordingly, backlog MRR may not be comparable to similar measures presented by other issuers.
ARPU – The term “ARPU” refers to the Company’s average revenue per customer per month in the period. The Company believes that ARPU is useful supplemental information as it provides an indication of our revenue from an individual customer on a per month basis. ARPU is not a recognized measure under IFRS and, accordingly, investors are cautioned that ARPU should not be construed as an alternative to revenue determined in accordance with IFRS as an indicator of our financial performance. The Company calculates ARPU by dividing our total revenue before revenue from early terminations by the number of customers in service during the period and we express ARPU as a rate per month. TERAGO’s method of calculating ARPU has changed from the Company’s past disclosures to exclude revenue from early termination fees, where ARPU was previously calculated as revenue divided by the number of customers in service during the period. TERAGO’s method may differ from other issuers, and accordingly, ARPU may not be comparable to similar measures presented by other issuers.
Churn – The term “churn” or “churn rate” is a measure, expressed as a percentage, of customer cancellations in a particular month. The Company calculates churn by dividing the number of customer cancellations during a month by the total number of customers at the end of the month before cancellations. The information is presented as the average monthly churn rate during the period. The Company believes that the churn rate is useful supplemental information as it provides an indication of future revenue decline and is a measure of how well the business is able to renew and keep existing customers on their existing service offerings. Churn and churn rate are not recognized measures under IFRS and, accordingly, investors are cautioned in using it. TERAGO’s method of calculating churn and churn rate may differ from other issuers and, accordingly, churn may not be comparable to similar measures presented by other issuers.
Cash from Operations – The term “Cash from Operations” refers to the “Cash from Operating Activities” as shown on the “Consolidated Statement of Cash Flows” in the Company’s Consolidated Financial Statements.
Overall Cash Consumption – The term “Overall Cash Consumption” refers to the “Net change in cash and cash equivalents during the period” as shown on the “Consolidated Statement of Cash Flows” in the Company’s Consolidated Financial Statements.
About TERAGO
TERAGO provides managed wireless and wireline connectivity and private 5G wireless networking services to businesses operating across Canada. As Canada’s biggest mmWave spectrum holders, the Company possesses exclusive spectrum licenses in the 24 GHz and 38 GHz spectrum bands, which it utilizes to provide secure, dedicated SLA guaranteed enterprise grade performance that is technology diverse from buried cables ensuring high availability connectivity services. TERAGO serves over 1,900 Canadian and Global businesses operating in major markets across Canada, including Toronto, Montreal, Calgary, Edmonton, Vancouver, Ottawa and Winnipeg, and has been providing wireless services since 1999. For more information about TERAGO, please visit www.terago.ca.
Forward-Looking Statements
This news release includes certain forward-looking statements. By their nature, forward-looking statements are subject to numerous risks and uncertainties, some of which are beyond TERAGO’s control. Forward-looking statements may include but are not limited to statements regarding the further developing our 5G Fixed Wireless Access program, consistently executing across all fronts of the business, success in providing Canadian enterprises with managed services and the 5G fixed wireless trials being conducted by the Company. All such statements constitute “forward-looking information” as defined under, applicable Canadian securities laws. Any statements contained herein that are not statements of historical facts constitute forward-looking information. The forward-looking statements reflect the Company’s views with respect to future events and is subject to risks, uncertainties and assumptions, including those risks set forth in the “Risk Factors” sections in the annual MD&A of the Company for the year ended December 31, 2023 available on www.sedar.com under the Company’s corporate profile. Factors that could cause actual results or events to differ materially include the inability to consistently achieve sales growth across all lines of TERAGO’s business including managed services, inability to complete successful 5G technical trials, the impacts and restrictions caused by the COVID-19 pandemic are prolonged which may further delay customer trials and/or cause a negative impact on future financial results of the Company, TERAGO’s Pandemic Response Plan may not mitigate all impacts of COVID-19, the results of the 5G trials not being satisfactory to TERAGO or any of its technology partners, regulatory requirements may delay or inhibit the trial, the economic viability of any potential services that may result from the trial, the ability for TERAGO to further finance and support any new market opportunities that may present itself, and industry competitors who may have superior technology or are quicker to take advantage of 5G technology. Accordingly, readers should not place undue reliance on forward-looking statements as several factors could cause actual future results, conditions, actions or events to differ materially from the targets, expectations, estimates or intentions expressed with the forward-looking statements. Except as may be required by applicable Canadian securities laws, TERAGO does not intend, and disclaims any obligation, to update or revise any forward-looking statements whether in words, oral or written as a result of new information, future events or otherwise.
SOURCE TeraGo Inc.
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Technology
Samsung Selects Chandigarh University Student as ‘Punjab AI State Topper’
Published
55 seconds agoon
July 18, 2026By
CU Student Devesh Panwar Wins Rs 1 Lakh Award for Developing AI-Based Document Search System
CHANDIGARH, India, July 18, 2026 /PRNewswire/ — A Bachelor of Computer Applications (BCA) student of Chandigarh University, Devesh Panwar, has been named the “Punjab State Topper” in the Artificial Intelligence (AI) under the Samsung Innovation Campus (SIC) AI Program organised by Samsung in collaboration with Telecom Sector Skill Council (TSSC) and training partner Focal Skill Development (Focalyt) to equip Indian youth with industry-relevant in-demand skills in AI, loT, Big Data, and Coding & Programming, preparing them for future careers.
A final-year student of Bachelor of Computer Applications (BCA) at University Institute of Computing (UIC) of Chandigarh University, Devesh Panwar also won a cash award of Rs 1 lakh along with a laptop, and exclusive Samsung rewards for achieving this remarkable milestone under the Samsung Innovation Campus AI Program.
“Being named ‘AI State Topper’ was a moment of profound pride and validation for me. Hard work, intense technical training and a passion for AI culminated in the immense honor of the Punjab State Topper title. Besides getting access to state-of-the-art tools to fuel my future research and development endeavor, I gained world-class knowledge during the Samsung Innovation Campus (SIC) AI Program. It helped me in gaining hands-on experience and applied AI to solve real-world challenges, especially in aeronautical and technical domains,”
During Samsung Innovation Campus (SIC) AI Program, Devesh and his team worked on innovative AI capstone project which was presented before the jury panel as part of the final assessment.
“Our team developed the advanced AI-powered system AI Research Agent, a Retrieval-Augmented Generation (RAG) platform designed for intelligent querying of private document collections. Organizations, researchers, legal professionals, and HR teams often work with large collections of documents. Traditional search methods rely heavily on keyword matching and require significant manual effort to locate relevant information. The project was developed to address the limitations of traditional document search systems, which often struggle with contextual understanding, retrieval accuracy, learning adaptability, and response speed,” said Devesh.
“The developed system demonstrated significant improvements over traditional document retrieval approaches with faster response generation with integration of modern AI techniques, full-stack development, database systems, and intelligent automation into a single practical solution. By combining modern RAG architecture with innovative retrieval and reasoning mechanisms, this system provides a fast, intelligent, and user-friendly solution for knowledge discovery and resume evaluation. This project not only enhanced our technical expertise in Artificial Intelligence and Full-Stack Development but also strengthened our problem-solving, teamwork, and professional communication skills. It stands as a significant achievement of our Samsung Innovation Campus 2025 journey and reflects our commitment to building impactful AI solutions for real-world challenges,” he added.
Congratulating Devesh Panwar for being named “Punjab State Topper” AI under the Samsung Innovation Campus Samsung Innovation Program, Deepinder Singh Sandhu, Senior Managing Director, Chandigarh University, said, “Devesh’s achievement reflects Chandigarh University’s focus on experiential learning and industry-academia collaboration. Through the Samsung Innovation Campus AI Program, CU students gain practical exposure to AI and building solutions for real-world challenges. This accomplishment reflects not only Devesh’s commitment to excellence but also the growing culture of innovation and industry-oriented learning at Chandigarh University,”.
“Since its inception, Chandigarh University has set benchmarks for world-class education with its dynamic hands-on experiential learning model, industry-aligned programs, dynamic fraternity, state-of-the-art infrastructure facilities and impeccable placements. Samsung Innovation Program is also part of our initiatives to develop a future-ready talent pool equipped with advanced capabilities in AI, loT, Big Data, and Coding and Programming. By bridging the gap between theoretical learning and real-world application, this collaboration helps in providing CU’s computer science and computing students exposure to cutting-edge and emerging technologies. CU’s this partnership with Samsung is focused on building future-ready talent equipped with industry-relevant skills in AI and emerging technologies,” Sandhu said.
He said Chandigarh University’s Institute of Computing (UIC) prepares students for a successful career in computing, to create and disseminate computing knowledge and technology. “Chandigarh University carries a vision of crafting next-gen IT professionals who can take up industry challenges effectively and our Institute of Computing (UIC) prepares students for a successful career in computing, to create and disseminate computing knowledge and technology. UIC’s hands-on approach paves the way for a smooth transition to the workforce after graduation. Our students are equipped with the best knowledge, skills and passion to succeed in any number of computing careers. CU’s Institute of Computing renders cutting-edge education ranging from the expertise in traditional software development -to- modern computing technologies. Fully-equipped industry-sponsored labs, industry-aligned curriculum, and accreditations and validations by top companies such as Intel, Microsoft, Google Android, Red Hat etc. give our students an exclusive edge over others,” the Chandigarh University CMD said.
Sandhu said the latest edition of QS World University Rankings has yet again reaffirmed Chandigarh University global standing as a top educational institution. “Continuing its remarkable rise among the world’s leading higher education institutions, Chandigarh University (CU) has made impressive strides in the latest edition of prestigious QS World University Rankings 2027 by securing an overall world rank of 526, an increase of 49 ranks as compared to 575th rank in QS’ 2026 Rankings. This is for the fifth consecutive year that Chandigarh University’s global rankings have witnessed an impressive surge with CU’s world rank going up by an impressive 274 ranks — from the 800th rank in 2023 to 526th in 2027’s Rankings,”.
“As per the latest QS World University Rankings, with All India Rank of 13 among all universities in the country as compared to 16th rank in 2026’s rankings, Chandigarh University now ranks among the top 1% of universities in India and the top 2% of universities in the World, underscoring its growing reputation as a leading institution of higher learning, both in India and globally,” he added.
About Chandigarh University
Chandigarh University is a NAAC A+ Grade University and QS World Ranked University. This autonomous educational institution is approved by UGC and is located near Chandigarh in the state of Punjab. It is the youngest university in India and the only private university in Punjab to be honoured with A+ Grade by NAAC (National Assessment and Accreditation Council). CU offers more than 109 UG and PG programs in the field of engineering, management, pharmacy, law, architecture, journalism, animation, hotel management, commerce, and others. It has been awarded as The University with Best Placements by WCRC.
Website address: https://www.cuchd.in/
View original content to download multimedia:https://www.prnewswire.com/in/news-releases/samsung-selects-chandigarh-university-student-as-punjab-ai-state-topper-302828991.html
Technology
Samsung Selects Chandigarh University Student as ‘Punjab AI State Topper’
Published
55 seconds agoon
July 18, 2026By
CU Student Devesh Panwar Wins Rs 1 Lakh Award for Developing AI-Based Document Search System
CHANDIGARH, India, July 18, 2026 /PRNewswire/ — A Bachelor of Computer Applications (BCA) student of Chandigarh University, Devesh Panwar, has been named the “Punjab State Topper” in the Artificial Intelligence (AI) under the Samsung Innovation Campus (SIC) AI Program organised by Samsung in collaboration with Telecom Sector Skill Council (TSSC) and training partner Focal Skill Development (Focalyt) to equip Indian youth with industry-relevant in-demand skills in AI, loT, Big Data, and Coding & Programming, preparing them for future careers.
A final-year student of Bachelor of Computer Applications (BCA) at University Institute of Computing (UIC) of Chandigarh University, Devesh Panwar also won a cash award of Rs 1 lakh along with a laptop, and exclusive Samsung rewards for achieving this remarkable milestone under the Samsung Innovation Campus AI Program.
“Being named ‘AI State Topper’ was a moment of profound pride and validation for me. Hard work, intense technical training and a passion for AI culminated in the immense honor of the Punjab State Topper title. Besides getting access to state-of-the-art tools to fuel my future research and development endeavor, I gained world-class knowledge during the Samsung Innovation Campus (SIC) AI Program. It helped me in gaining hands-on experience and applied AI to solve real-world challenges, especially in aeronautical and technical domains,”
During Samsung Innovation Campus (SIC) AI Program, Devesh and his team worked on innovative AI capstone project which was presented before the jury panel as part of the final assessment.
“Our team developed the advanced AI-powered system AI Research Agent, a Retrieval-Augmented Generation (RAG) platform designed for intelligent querying of private document collections. Organizations, researchers, legal professionals, and HR teams often work with large collections of documents. Traditional search methods rely heavily on keyword matching and require significant manual effort to locate relevant information. The project was developed to address the limitations of traditional document search systems, which often struggle with contextual understanding, retrieval accuracy, learning adaptability, and response speed,” said Devesh.
“The developed system demonstrated significant improvements over traditional document retrieval approaches with faster response generation with integration of modern AI techniques, full-stack development, database systems, and intelligent automation into a single practical solution. By combining modern RAG architecture with innovative retrieval and reasoning mechanisms, this system provides a fast, intelligent, and user-friendly solution for knowledge discovery and resume evaluation. This project not only enhanced our technical expertise in Artificial Intelligence and Full-Stack Development but also strengthened our problem-solving, teamwork, and professional communication skills. It stands as a significant achievement of our Samsung Innovation Campus 2025 journey and reflects our commitment to building impactful AI solutions for real-world challenges,” he added.
Congratulating Devesh Panwar for being named “Punjab State Topper” AI under the Samsung Innovation Campus Samsung Innovation Program, Deepinder Singh Sandhu, Senior Managing Director, Chandigarh University, said, “Devesh’s achievement reflects Chandigarh University’s focus on experiential learning and industry-academia collaboration. Through the Samsung Innovation Campus AI Program, CU students gain practical exposure to AI and building solutions for real-world challenges. This accomplishment reflects not only Devesh’s commitment to excellence but also the growing culture of innovation and industry-oriented learning at Chandigarh University,”.
“Since its inception, Chandigarh University has set benchmarks for world-class education with its dynamic hands-on experiential learning model, industry-aligned programs, dynamic fraternity, state-of-the-art infrastructure facilities and impeccable placements. Samsung Innovation Program is also part of our initiatives to develop a future-ready talent pool equipped with advanced capabilities in AI, loT, Big Data, and Coding and Programming. By bridging the gap between theoretical learning and real-world application, this collaboration helps in providing CU’s computer science and computing students exposure to cutting-edge and emerging technologies. CU’s this partnership with Samsung is focused on building future-ready talent equipped with industry-relevant skills in AI and emerging technologies,” Sandhu said.
He said Chandigarh University’s Institute of Computing (UIC) prepares students for a successful career in computing, to create and disseminate computing knowledge and technology. “Chandigarh University carries a vision of crafting next-gen IT professionals who can take up industry challenges effectively and our Institute of Computing (UIC) prepares students for a successful career in computing, to create and disseminate computing knowledge and technology. UIC’s hands-on approach paves the way for a smooth transition to the workforce after graduation. Our students are equipped with the best knowledge, skills and passion to succeed in any number of computing careers. CU’s Institute of Computing renders cutting-edge education ranging from the expertise in traditional software development -to- modern computing technologies. Fully-equipped industry-sponsored labs, industry-aligned curriculum, and accreditations and validations by top companies such as Intel, Microsoft, Google Android, Red Hat etc. give our students an exclusive edge over others,” the Chandigarh University CMD said.
Sandhu said the latest edition of QS World University Rankings has yet again reaffirmed Chandigarh University global standing as a top educational institution. “Continuing its remarkable rise among the world’s leading higher education institutions, Chandigarh University (CU) has made impressive strides in the latest edition of prestigious QS World University Rankings 2027 by securing an overall world rank of 526, an increase of 49 ranks as compared to 575th rank in QS’ 2026 Rankings. This is for the fifth consecutive year that Chandigarh University’s global rankings have witnessed an impressive surge with CU’s world rank going up by an impressive 274 ranks — from the 800th rank in 2023 to 526th in 2027’s Rankings,”.
“As per the latest QS World University Rankings, with All India Rank of 13 among all universities in the country as compared to 16th rank in 2026’s rankings, Chandigarh University now ranks among the top 1% of universities in India and the top 2% of universities in the World, underscoring its growing reputation as a leading institution of higher learning, both in India and globally,” he added.
About Chandigarh University
Chandigarh University is a NAAC A+ Grade University and QS World Ranked University. This autonomous educational institution is approved by UGC and is located near Chandigarh in the state of Punjab. It is the youngest university in India and the only private university in Punjab to be honoured with A+ Grade by NAAC (National Assessment and Accreditation Council). CU offers more than 109 UG and PG programs in the field of engineering, management, pharmacy, law, architecture, journalism, animation, hotel management, commerce, and others. It has been awarded as The University with Best Placements by WCRC.
Website address: https://www.cuchd.in/
View original content to download multimedia:https://www.prnewswire.com/in/news-releases/samsung-selects-chandigarh-university-student-as-punjab-ai-state-topper-302828991.html
Technology
Black Lake Technologies Shortlisted as SAIL Award TOP30 Finalist and Selected as Global Industrial AI Flagship Case, Showcasing Latest Industrial Agent at WAIC 2026
Published
1 hour agoon
July 18, 2026By
SHANGHAI, July 18, 2026 /PRNewswire/ — The 2026 World Artificial Intelligence Conference (WAIC) opened in Shanghai on July 17. Shanghai Blacklake Technologies Co., Ltd. (“Black Lake”), an industrial AI company, is showcasing a portfolio of industrial AI agents at the conference. The company has also been named to the Top 30 shortlist for the 2026 WAIC Super AI Leader (SAIL) Award and selected as a Trusted Partner under the Global Call for Trusted Partners for Industrial AI in the Global South.
The accreditations highlight Black Lake’s latest progress in bringing AI into critical manufacturing decision-making workflows and deploying industrial AI capabilities on the shop floor around the world.
This year’s conference attracted over 1,100 exhibiting companies and showcased more than 3,000 exhibits, setting a new record for exhibition scale. The conference delivered a clear signal: as artificial intelligence becomes a common priority across global industries, attention is moving beyond model capabilities toward practical applications in real-world operating environments.
Manufacturing provides a particularly demanding test for this transition. Factory operations are governed by multiple constraints, including process specifications, equipment capabilities, material availability, production capacity, delivery schedules and quality requirements. Therefore, AI has to do so much more than simply comprehend information input. It must make reliable judgments within clearly defined business rules and operational constraints.
Black Lake has focused on industrial digitalization and industrial AI for years, developing and deploying AI applications in a range of factory environments.
At WAIC 2026, the company is presenting industrial AI agents covering order splitting and process planning, quotation and pricing, procurement, production scheduling, quality inspection, and order tracking. These applications are designed to move AI beyond an auxiliary role and into critical manufacturing decision-making workflows.
Traditional industrial software is primarily responsible for data recording, digital workflows, and worker coordination. However, critical decisions such as how to split an order, determine pricing, schedule production, and assess quality risks still depend heavily on the experience of engineers and frontline workers.
Industrial AI agents are intended to convert fragmented industrial knowledge and production experience into decision-making capabilities that can be invoked, reused and continuously refined by software systems.
Order decomposition and process planning are representative examples. After receiving an engineering drawing, a factory typically relies on experienced engineers to identify components, materials and dimensions, define the required manufacturing processes and technical specifications, and establish a basis for subsequent quotation and quality inspection.
The process is highly dependent on individual expertise and represents one of the first critical decision points after an order is received.
Black Lake Technologies’ CAD-to-Process Agent can understand product drawings and, taking into account the factory’s equipment capabilities, process requirements, and production practices, rapidly generate process steps along with the corresponding technical requirements. Drawing analysis that once took hours can now be completed in approximately one minute, achieving an accuracy rate of over 95% in real deployment and providing engineers with stable, efficient decision support. Currently, the industrial agents developed by the company cover core processes including design, scheduling, production, and quality inspection, and have entered the stage of large-scale deployment.
Founded in 2016, Black Lake serves nearly 40,000 factories worldwide. Its customers span more than 30 industries, including food and beverage, automotive components and equipment manufacturing.
By working across factory order management, production and fulfillment workflows, Black Lake has accumulated the technical capabilities and industry knowledge required to support decision-making in complex industrial environments.
In April 2026, Black Lake completed a Series D funding round of nearly RMB 1 billion. The company said the proceeds would primarily be used to accelerate the deployment of its industrial AI products and support its international expansion.
AI-related products are becoming a new source of growth for the company. In a recent interview, Black Lake founder and CEO Zhou Yuxiang said that the company had recorded significant growth in AI-related revenue since the beginning of 2026. He also said that manufacturing customers were taking less time to make purchasing decisions for industrial AI agents.
Zhou expects AI adoption among Chinese factories to increase substantially over the next three to four years.
Unlike consumer-facing AI, which is primarily associated with content generation and personal productivity, industrial AI agents can directly affect production costs, capacity utilization, delivery performance, and product quality. Their commercial value therefore depends largely on whether they can perform specific tasks reliably in complex production environments.
During WAIC 2026, Black Lake was named to the Top 30 shortlist for the 2026 Super AI Leader (SAIL) Award. The SAIL Award is one of WAIC’s major awards and recognizes achievements in technological breakthroughs, application innovation, and industrial value.
Black Lake was also selected as a Trusted Partner under UNIDO’s Global Call for Trusted Partners for Industrial AI in the Global South.
The Global Call was launched under the guidance of the United Nations Industrial Development Organization (UNIDO), in partnership with the Shanghai Artificial Intelligence Research Institute, and in connection with the work of UNIDO AIM Global and its Shanghai-based Centre of Excellence.
The initiative aims to build a curated pool of leading partners to co-develop scalable industrial AI solutions and public goods for the Global South.
For Black Lake, the two accreditations underscore the growing importance of reliability, explainability, and scalability in the evaluation of industrial AI, in addition to the capabilities of AI models.
Global expansion will be a major priority in the company’s next phase of development. Black Lake is currently focusing on Southeast Asia, Latin America and Eastern Europe, adapting its industrial AI agents to the industrial structures, production processes and management requirements of different markets.
Although manufacturing operations vary across countries and regions, manufacturers share similar concerns about efficiency, quality, delivery reliability and production flexibility.
Black Lake is transforming industrial AI capabilities that have been validated in complex factory environments into configurable and deployable products. Through these products, the company aims to work with manufacturers worldwide to explore more efficient, flexible and intelligent approaches to production.
SOURCE Black Lake
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