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Bairong Inc. Announces 2024 Annual Financial Results

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Bairong Inc. Announces 2024 Annual Financial Results

Solid Revenue Growth Coupled with High Gross Profit Margin (73%) and Non-IFRS Profit (RMB 376 Million)

BEIJING, March 26, 2025 /PRNewswire/ — Bairong Inc. (the “Company”, “we” , “us” or “our” ; HKEX: 6608), a leading cloud-based AI turnkey service provider, today announced the consolidated results of the Company for the year ended December 31, 2024.

Mr. Zhang Shaofeng, our founder, chief executive officer and chairman of the Board, commented:
“As a leading cloud-based AI turnkey service provider, Bairong achieved revenue growth and sustained profitability in 2024 when the industry as a whole was weak. We also generated an operating cash flow of RMB 303 million in 2024, which fully demonstrates the resilience of our business. In terms of technology and products, our VoiceGPT continues to iterate rapidly, and at the same time, new products such as the digital human All – in – One Machine AvatarGPT and Cybotstar Agent Platform have been further implemented. In 2025, we will increase our investment in new businesses and new scenarios, especially in the two fields of Pan-financial AI and Pan-industry AI, so as to achieve a vertical and horizontal business layout supported by AGI.”

Financial Summary

Year ended December 31,

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2024

2023

Change

(RMB in thousands, except percentages)

Revenue

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2,929,267

2,680,915

9 %

Model as a service (“MaaS“)

932,473

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891,248

5 %

Business as a service (“BaaS“)

1,996,794

1,789,667

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12 %

BaaS – Financial Scenario

1,410,695

1,184,728

19 %

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BaaS – Insurance Scenario

586,099

604,939

(3 %)

Gross profit

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2,141,712

1,954,532

10 %

Operating profit

285,234

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346,886

(18 %)

Profit for the period

266,029

335,259

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(21 %)

Non-IFRS measures

Non-IFRS profit for the period

376,051

375,064

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Non-IFRS EBITDA

486,176

463,782

5 %

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Revenue

Our total revenue increased by 9% from RMB2,680.92 million for the year ended December 31, 2023 to RMB2,929.27 million for the year ended December 31, 2024, primarily attributable to our enhanced capabilities of providing products and services despite a challenging macroeconomic and consumption environment.

For the year ended December 31, 2024, our MaaS business reported revenue of RMB932.47 million, representing an increase of 5% year-over-year. During the Reporting Period, the number of Key Clients reached 211, while average revenue per Key Client was RMB3.37 million. Our Key Client retention rate was 97%.

Key metrics of MaaS

Year ended December 31,

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2024

2023

Change (%)

(unaudited)

(unaudited)

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(RMB in thousands, except percentages)

Revenue from MaaS

932,473

891,248

5

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Revenue from Key Clients(Note)

711,328

744,489

(4)

Number of Key Clients

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211

213

(1)

Average revenue per Key Client

3,371

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3,495

(4)

Retention rate of Key Clients

97 %

99 %

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(2) pct

Note:Key Clients” are defined as paying clients that each contributes more than RMB300,000 total
revenue to the Company year-to-date.

In 2024, our BaaS – Financial Scenario business reported revenue of RMB1,410.70 million, representing a year-over-year increase of 19% from RMB1,184.73 million for the year ended December 31, 2023. During the Reporting Period, we maintained growth against the industry’s downturn, with our brand gaining increasing recognition from more and more partners. A significant number of institutions prioritize choosing us as their partner of choice, indicating that the brand effect has been established.

In 2024, our BaaS – Insurance Scenario reported revenue decrease by 3% year-over-year to RMB586.10 million. Total premiums increased by 63% year-over-year to RMB5,442.43 million, with first year premiums increasing by 86% year-over-year to RMB3,641.10 million and renewal premiums increasing by 31% year-over-year to RMB1,801.34 million. The persistency rate of life insurance premiums continued to exceed 90%, ranking among the top in the industry.

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Key metrics of BaaS – Insurance Scenario

Year ended December 31,

2024

2023

Change (%)

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(unaudited)

(unaudited)

(RMB in thousands, except percentages)

Revenue from BaaS – Insurance Scenario

586,099

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604,939

(3)

Revenue from first year premiums

486,964

508,207

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(4)

First year premiums

3,641,095

1,952,887

86

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Revenue from renewal premiums

99,136

96,732

2

Renewal premiums

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1,801,335

1,377,605

31

Cost of sales 

Our cost of sales increased by 8% from RMB726.38 million for the year ended December 31, 2023 to RMB787.56 million for the year ended December 31, 2024, in line with the growth of our business scale.

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Gross profit and gross margin

As a result of the foregoing, the Group’s gross profit increased by 10% from RMB1,954.53 million for the year ended December 31, 2023 to RMB2,141.71 million for the year ended December 31, 2024. The Group’s gross margin were approximately 73% for both the year ended December 31, 2024 and 2023.

Research and development expenses

The Group’s research and development expenses increased by 34% from RMB378.79 million for the year ended December 31, 2023 to RMB509.29 million for the year ended December 31, 2024, primarily attributable to the increase in the staff costs of our research and development personnel to support product offerings and technology development about various AI application technology, algorithm-driven machine learning platform and underlying database performance. Research and development expenses as a percentage of revenue increased by 3pct to 17%.

General and administrative expenses

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The Group’s general and administrative expenses increased by 26% from RMB259.28 million for the year ended December 31, 2023 to RMB327.72 million for the year ended December 31, 2024, primarily attributable to the increase in share-based compensation expenses from the grant of share options and restricted share units by the Company during the year ended December 31, 2024. General and administrative expenses as a percentage of revenue increased slightly by 1pct to 11%.

Sales and marketing expenses

Our sales and marketing expenses increased by 4% from RMB1,072.99 million for the year ended December 31, 2023 to RMB1,118.94 million for the year ended December 31, 2024, primarily due to an increase of RMB74.62 million of promotion, advertising, information technology services and other related expenses, which was mainly due to the increased branding and business promotion to enhance our brand recognition and our continuous efforts to obtain high-quality traffic to improve conversion efficiency. Sales and marketing expenses as a percentage of revenue decreased by 2pct to 38%.

Other income

Our other income decreased by 28% from RMB183.01 million for the year ended December 31, 2023 to RMB130.90 million for the year ended December 31, 2024. This is primarily due to a decrease of RMB37.00 million of government grants.

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Profit for the year

As a result of the foregoing, the Group’s profit for the year decreased by 21% from RMB335.26 million for the year ended December 31, 2023 to RMB266.03 million for the year ended December 31, 2024.

Cash, cash equivalents and time deposits

The Group had cash and cash equivalents and time deposits of RMB3,176.39 million and RMB3,301.84 million as at December 31, 2024 and December 31, 2023, respectively.

Purchase, sale or redemption of the Company’s listed securities

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During the Reporting Period, the Company repurchased a total of 25,490,000 Class B Shares on the Stock Exchange at an aggregate consideration (including transaction cost) of approximately HK$237.51 million including expenses. In addition, 10,331,500 Class B Shares were purchased by trustees of the Companys share award schemes on the market during the year ended December 31, 2024 to satisfy share awards to be vested in subsequent periods.

Conference Call

Our management will hold a conference call at 17:30p.m. Beijing / Hong Kong Time on Wednesday, March 26, 2025 to discuss the financial results and answer questions from investors and analysts.

For participants who wish to join the call, please complete online registration using the link provided below prior to the scheduled call start time.

Participant Online Registration:
https://webcast.roadshowchina.cn/b2hMVjJranVjWXRBMVR4R1ExcWIwdz09/meet

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Dial-in details for the earnings conference call are as follows:

International: +86-23-62737100
Mainland China: 023-63623333/4008-063-263
HK China: +852-30183602/+800-961505

English Dial-in Password: 290534058
Chinese Dial-in Password: 297236054

Please scan the QR code in the poster below to register for the conference:

Bairong Invitation to the 2024 Annual Results Presentation

Additionally, a live and archived webcast of the conference call will be available on the Company’s investor relations website at http://ir.brgroup.com/earnings

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About Bairong Inc.

Bairong Inc. is a leading artificial intelligence (AI) technology services company. The Company applies natural language processing (NLP), privacy computing, machine learning, cloud computing and other technologies to provide services to enterprises through model-as-a-service (MaaS) and business-as-a-service (BaaS). The MaaS services leverage discriminant AI to digitalize the know-your-customer (KYC) and know-your-product (KYP) process for enterprises, by analyzing users’ risk, willingness, and capability. The BaaS services use discriminant AI to analyze and stratify users into groups and develops generative AI-powered VoiceGPT using human natural languages to interact with users. The Company’s products and services are widely used by enterprise customers in banking, consumer finance, insurance, e-commerce, automobiles, logistics, ticketing, energy, construction and other industries.

For more information, please visit: http://ir.brgroup.com

Safe Harbor Statement

This press release contains statements that may constitute “forward-looking” statements. These forward-looking statements can be identified by terminologies such as “will,” “expects,” “anticipates,” “aims,” “future,” “intends,” “plans,” “believes,” “estimates,” “likely to,” and the negative of these words and other similar expressions or statements. Bairong may also make written or oral forward-looking statements in its periodic reports to the HKEx, in its annual and interim reports to shareholders, in press releases and other written materials, and in oral statements made by its officers, directors, or employees to third parties. Statements that are not historical facts, including statements about Bairong’s beliefs, plans, and expectations, are forward-looking statements. Forward-looking statements involve inherent risks and uncertainties. A number of factors could cause actual results to differ materially from those contained in any forward-looking statements, including but not limited to the following: Bairong’s strategies, future business development, and financial condition and results of operations; Bairong’s limited operating history; risks associated with the financial service industry, Bairong’s ability to develop and deliver services of high quality and appeal to clients; Bairong’s ability to generate positive cash flow and profits; Bairong’s ability to compete successfully; Bairong’s ability to build its brand and withstand negative publicity; and changes in client demand and government incentives, subsidies, or other favorable government policies. Further information regarding these and other risks is included in Bairong’s filings with the HKEX. All information provided in this press release is as of the date of this press release, and Bairong does not undertake any obligation to update any forward-looking statements, except as required under applicable laws.

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For investor inquiries, please contact:
Bairong Inc.
Ms. Sandy Qin, CFA, CMA, FCG HKFCG
Email: ir@brgroup.com

For media inquiries, please contact:
Bairong Inc.
Email: brmarketing@brgroup.com

(PRNewsfoto/Bairong Inc)
(PRNewsfoto/Bairong Inc)
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SOURCE Bairong Inc.

Finance

Edge AI Emerges as Critical Infrastructure for Real-Time Finance | PYMNTS.com

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Edge AI Emerges as Critical Infrastructure for Real-Time Finance | PYMNTS.com

The financial sector’s honeymoon phase with centralized, cloud-based artificial intelligence (AI) is meeting a hard reality: The speed of a fiber-optic cable isn’t always fast enough.

For payments, fraud detection and identity verification, the milliseconds lost in “round-tripping” data to a distant server represent more than just lag — they are a structural vulnerability. As the industry matures, the competitive frontier is shifting toward edge AI, moving the point of decision-making from the data center to the literal edge of the network — the ATM, the point-of-sale (POS) terminal, and the branch server.

From Batch Processing to Instant Inference

At the heart of this shift is inference, the moment a trained model applies its logic to a live transaction. While the cloud remains the ideal laboratory for training massive models, it is an increasingly inefficient theater for execution.

Financial workflows are rarely “batch” problems; they are “now” problems. Authorizing a high-value payment or flagging a suspicious login happens in a heartbeat. By moving inference into local gateways and on-premise infrastructure, institutions are effectively eliminating the “cloud tax” — the combined burden of latency, bandwidth costs and egress fees. This local execution isn’t just a technical preference; it’s a cost-control strategy. As transaction volumes surge, edge deployments offer a more predictable total cost of ownership (TCO) compared to the variable, often skyrocketing costs of cloud-only scaling.

Coverage from PYMNTS highlights how financial firms are transitioning from cloud-centric large models toward task-specific systems optimized for real-time operations and cost control.

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From Cloud-Centric AI to Decision-Making at the Edge

The first wave of enterprise AI adoption leaned heavily on cloud infrastructure. Large models and centralized data lakes proved effective for analytics, forecasting and customer insights. But financial workflows are not batch problems. Authorizing a payment, flagging fraud or approving a cash withdrawal happens in milliseconds. Routing every decision process through a centralized cloud introduces latency, cost and operational risk.

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Edge AI moves inference into branch servers, payment gateways and local infrastructure, enabling systems to decide without every query circling back to a central cloud. That local execution is especially critical in finance, where latency, privacy and compliance are business requirements.

Real-time processing at the edge trims costly round trips and avoids the cloud bandwidth and egress fees that accumulate at scale. CIO highlights that as inference volumes grow, edge deployments often deliver lower and more predictable total cost of ownership than cloud-only approaches.

Banks and payments providers are identifying specific edge use cases where local intelligence unlocks business value. Fraud detection systems at ATMs can use facial analytics and transaction context to assess threats in real time without routing sensitive video data, keeping customer information on-premise and reducing exposure.

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Edge AI also supports smart branch automation, real-time risk scoring and adaptive security controls that respond instantly to contextual signals, functions that centralized cloud inference cannot economically replicate at transaction scale.

Edge AI delivers clear operational and governance advantages by reducing bandwidth use, cloud dependency and attack surface. Keeping decision logic local also simplifies compliance by limiting unnecessary data movement, a priority for regulated financial institutions.

Edge AI Stack Is Coalescing Across the Tech Industry

The broader tech ecosystem reinforces this trend. As reported by Reuters, chipmakers such as Arm are expanding edge-optimized AI licensing programs to accelerate on-device inference development, reflecting growing conviction that distributed AI will capture a larger share of enterprise compute workloads. Nvidia is advancing that shift through platforms such as EGX, Jetson and IGX, which bring accelerated computing and real-time inference into enterprise, industrial and infrastructure environments where latency and reliability matter.

Intel is taking a similar approach by integrating AI accelerators such as its Gaudi 3 chips into hybrid architectures and partnering with providers including IBM to push scalable, secure inference closer to users. IBM, in turn, is embedding AI across hybrid cloud and edge deployments through its watsonx platform and enterprise services, with an emphasis on governance, integration and control.

In financial services, these converging moves make edge AI more than a deployment option. It is increasingly the infrastructure layer for enterprise AI, enabling institutions to embed intelligence directly into transaction flows while maintaining discipline over cost, risk and operational continuity.

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Spanberger taps Del. Sickles to be Secretary of Finance

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Spanberger taps Del. Sickles to be Secretary of Finance

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by Brandon Jarvis

Gov.-elect Abigail Spanberger has tapped Del. Mark Sickles, D-Fairfax, to serve as her Secretary of Finance.

Sickles has been in the House of Delegates for 22 years and is the second-highest-ranking Democrat on the House Appropriations Committee.

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“As the Vice Chair of the House Appropriations Committee, Delegate Sickles has years of experience working with both Democrats and Republicans to pass commonsense budgets that have offered tax relief for families and helped Virginia’s economy grow,” Spanberger said in a statement Tuesday.

Sickles has been a House budget negotiator since 2018.

Del. Mark Sickles.

“We need to make sure every tax dollar is employed to its greatest effect for hard-working Virginians to keep tuition low, to build more affordable housing, to ensure teachers are properly rewarded for their work, and to make quality healthcare available and affordable for everyone,” Sickles said in a statement. “The Finance Secretariat must be a team player in helping Virginia’s government to perform to its greatest potential.”

Sickles is the third member of the House that Spanberger has selected to serve in her administration. Del. Candi Mundon King, D-Prince William, was tapped to serve as the Secretary of the Commonwealth, and Del. David Bulova, D-Fairfax, was named Secretary of Historic and Natural Resources.


This work is licensed under CC BY-NC-ND 4.0

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Stories posted on Virginiascope.com are available for publications to republish in their entirety for free.

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Bank of Korea needs to remain wary of financial stability risks, board member says

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Bank of Korea needs to remain wary of financial stability risks, board member says

SEOUL, Dec 23 (Reuters) – South Korea’s central bank needs to remain wary of financial stability risks, such as heightened volatility in the won currency and upward pressure on house prices, a board member said on Tuesday.

“Volatility is increasing in financial and foreign exchange markets with sharp fluctuations in stock prices and comparative weakness in the won,” said Chang Yong-sung, a member of the Bank of Korea’s seven-seat monetary policy board.

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The won hit on Tuesday its weakest level since early April at 1,483.5 per dollar. It has fallen more than 8% in the second half of 2025.

Chang also warned of high credit risks for some vulnerable sectors and continuously rising house prices in his comments released with the central bank’s semiannual financial stability report.

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In the report, the BOK said it would monitor risk factors within the financial system and proactively seek market stabilising measures if needed, though it noted most indicators of foreign exchange conditions remained stable.

Monetary policy would continue to be coordinated with macroprudential policies, it added.

The BOK held rates steady for the fourth straight monetary policy meeting last month and signalled it could be nearing the end of the current rate cut cycle, as currency weakness reduced scope for further easing.
Following the November meeting, it has rolled out various currency stabilisation measures.

The BOK’s next monetary policy meeting is in January.

Reporting by Jihoon Lee; Editing by Jamie Freed

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