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Chunghwa Telecom Reports Un-Audited Consolidated Operating Results for the Second Quarter of 2024

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TAIPEI, Aug. 6, 2024 /PRNewswire/ — Chunghwa Telecom Co., Ltd. (TAIEX: 2412, NYSE: CHT) (“Chunghwa” or “the Company”) today reported its un-audited operating results for the second quarter of 2024. All figures were prepared in accordance with Taiwan-International Financial Reporting Standards (“T-IFRSs”) on a consolidated basis.

(Comparisons throughout the press release, unless otherwise stated, are made with regard to the prior year period.)

Second Quarter 2024 Financial Highlights

Total revenue increased by 1.2% to NT$ 54.12 billion.Consumer Business Group revenue increased by 2.6% to NT$ 33.60 billion.Enterprise Business Group revenue decreased by 3.7% to NT$ 16.89 billion.International Business Group revenue increased by 21.8% to NT$ 2.64 billion.Total operating costs and expenses increased by 2.4% to NT$ 42.19 billion.Operating income decreased by 2.7% to NT$ 11.93 billion.EBITDA decreased by 1.7% to NT$ 21.81 billion.Net income attributable to stockholders of the parent decreased by 1.0% to NT$ 9.82 billion.Basic earnings per share (EPS) was NT$1.27.Operating income, EBITDA, net income attributable to stockholders of the parent, and EPS all exceeded our proposed guidance.

“The year-over-year improvements in the second quarter underscored the strength of our strategic execution and operational excellence,” stated Mr. Shui-Yi Kuo, Chairman and CEO of Chunghwa Telecom. “Chunghwa Telecom is delivering industry-leading, best-in-class service to our customers. As a result, we have proudly set a new record for total revenue for the same period since 2018, increasing our mobile revenue market share and subscriber share in the new market landscape. Our postpaid mobile ARPU has continued to outperform peers, demonstrating the highest YoY growth in the Taiwanese telecom industry for six consecutive quarters. Additionally, our fixed broadband service has seen a remarkable uptick as the number of subscribers opting for services of 300Mbps or higher continued to grow, resulting in revenue increase.”

“Regarding our three business groups, the Consumer Business Group sustained its growth trajectory, primarily due to mobile revenue growth driven by ongoing 5G migration and an increase in postpaid subscribers, as well as fixed broadband revenue growth. As a testament of our successful investment in media content, we saw our video platform subscriptions exceeded three million in the first week of broadcasting the Olympic Games, further expanding our lead in the industry as the largest video platform in Taiwan. Our Enterprise Business Group’s revenue decreased due to the higher base from the large ICT project revenue recognized last year, offset by increased IDC and cybersecurity revenues this quarter. A noteworthy highlight is the 10 consecutive quarters of year-over-year growth in our cybersecurity business driven by growing demand. Furthermore, we are impressed with the performance of our International Business Group, where revenue increased by 21.8% year-over-year, mainly driven by overseas ICT business.”

“Targeting the vast AI opportunities, we constructed AI Data Centers, GPU Cloud, and CHT AI Factory. These efforts support enterprise and government clients in facilitating AI transformation. Additionally, to strategically enhance our overall group’s market value, we focused on carving out subsidiaries for spin-offs and continuously evaluating potential M&A opportunities. Our subsidiary, CHT Security and International Integrated Systems Inc., will complete their listing on Taiwan’s Emerging Stock Market Board by the second half of 2024. Looking ahead, we remain confident that the consistent execution of our strategies will enable us to achieve our long-term goals for superior value creation for all our stakeholders,” Mr. Kuo concluded.

Revenue

Chunghwa Telecom’s total revenues for the second quarter of 2024 increased by 1.2% to NT$ 54.12 billion.

Consumer Business Group’s revenue for the second quarter of 2024 increased by 2.6% YoY to NT$ 33.60 billion. Mobile service revenue increased 3.8% YoY, mainly due to ongoing 5G migration and increase in postpaid subscriber. Fixed broadband revenue continued to grow year over year owing to the successful upsell of speed upgrade. Sales revenue increased 2.4% YoY mainly due to the strong sales of iPhone series. CBG’s income before tax decreased 1.6% YoY, mainly due to the increase of personnel expenses resulting from the company’s salary raises rolled out this year

Enterprise Business Group’s revenue for the second quarter of 2024 decreased 3.7% YoY to NT$ 16.89 billion, due to last year’s high base from large ICT projects and the deferral of revenue that was expected to be recognized in the second quarter. ICT business revenue remained on track when excluding those factors. Mobile service revenue slightly decreased due to the higher base of prepaid card project in the same period of last year, while 5G migration, international roaming revenue and text message revenue continued to grow. Fixed-line revenue slightly decreased year-over-year due to that the decline in fixed voice revenue offset the growth of broadband access revenue and data communication revenue. This was the main cause of the 9.6% year-over-year decrease in EBG’s income before tax.

International Business Group’s revenue for the second quarter of 2024 increased by 21.8% to NT$ 2.64 billion, while its income before tax increased 8.2% YoY. The positive growth was mainly due to overseas ICT business growth driven by clients’ global expansion.

Operating Costs and Expenses

Total operating costs and expenses for the second quarter of 2024 increased by 2.4% to NT$ 42.19 billion, mainly due to higher manpower cost and electricity expenses.

Operating Income and Net Income

Operating income for the second quarter of 2024 decreased by 2.7% to NT$ 11.93 billion. The operating margin was 22.0%, as compared to 22.9% in the same period of 2023. Net income attributable to stockholders of the parent decreased by 1.0% to NT$ 9.82 billion. Basic earnings per share was NT$1.27.

Cash Flow and EBITDA

Cash flow from operating activities, as of June 30th, 2024, increased by 3.0% year over year to NT$ 29.32 billion, mainly due to a rise in unearned revenue from ICT projects.

Cash and cash equivalents, as of June 30th, 2024, decreased by 24.2% to NT$ 37.71 billion as compared to that as of June 30th, 2023.

EBITDA for the second quarter of 2024 was NT$ 21.81 billion, decreasing by 1.7% year over year. EBITDA margin was 40.31%, as compared to 41.51% in the same period of 2023.

Business Highlights

Mobile

As of June 30th, 2024, Chunghwa Telecom had 13.42 million mobile subscribers, representing a 4.5% year-over-year increase. In the second quarter, total mobile service revenue increased by 3.5% to NT$ 16.73 billion, while mobile post-paid ARPU excluding IoT SIMs grew 2.0% year over year to NT$ 556.

Fixed Broadband/HiNet

As of June 30th, 2024, the number of broadband subscribers slightly increased by 0.6% to 4.41 million. The number of HiNet broadband subscribers increased by 1.3% to 3.72 million. In the second quarter, total fixed broadband revenue grew 4.4% year over year to NT$ 11.39 billion, while ARPU increased 2.0% to NT$ 790.

Fixed line

As of June 30th, 2024, the number of fixed-line subscribers was 9.02 million.

Financial Statements

Financial statements and additional operational data can be found on the Company’s website at http://www.cht.com.tw/en/home/cht/investors/financials/quarterly-earnings

NOTE CONCERNING FORWARD-LOOKING STATEMENTS

This press release contains forward-looking statements. These statements constitute “forward-looking” statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, and as defined in the U.S. Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as “will,” “expects,” “anticipates,” “future,” “intends,” “plans,” “believes,” “estimates” and similar statements. Statements that are not historical facts, including statements about Chunghwa’s beliefs and expectations, are forward-looking statements. Forward-looking statements involve inherent risks and uncertainties that could cause actual results to differ materially from the forward-looking statements. A number of important factors could cause actual results to differ materially from those contained in any forward-looking statement. Investors are cautioned that actual events and results could differ materially from those statements as a result of a number of factors including, but not limited to the risks outlined in Chunghwa’s filings with the U.S. Securities and Exchange Commission on Forms F-1, F-3, 6-K and 20-F, in each case as amended. The forward-looking statements in this press release reflect the current belief of Chunghwa as of the date of this press release and Chunghwa undertakes no obligation to update these forward-looking statements for events or circumstances that occur subsequent to such date, except as required under applicable law.

This press release is not an offer of securities for sale in the United States. Securities may not be offered or sold in the United States absent registration or an exemption from registration. Any public offering of securities to be made in the United States will be made by means of a prospectus that may be obtained from the issuer or selling security holder and that will contain detailed information about the company and management, as well as financial statements.

NON-GAAP FINANCIAL MEASURES

To supplement the Company’s consolidated financial statements presented in accordance with International Financial Reporting Standards pursuant to the requirements of the Financial Supervisory Commission, or T-IFRSs, Chunghwa Telecom also provides EBITDA, which is a “non-GAAP financial measure”.  EBITDA is defined as consolidated net income (loss) excluding (i) depreciation and amortization, (ii) total net comprehensive financing cost (which is comprised of net interest expense, exchange gain or loss, monetary position gain or loss and other financing costs and derivative transactions), (iii) other income, net, (iv) income tax, (v) (income) loss from discontinued operations.

In managing the Company’s business, Chunghwa Telecom relies on EBITDA as a means of assessing its operating performance because it excludes the effect of (i) depreciation and amortization, which represents a non-cash charge to earnings, (ii) certain financing costs, which are significantly affected by external factors, including interest rates, foreign currency exchange rates and inflation rates, which have little or no bearing on our operating performance, (iii) income tax (iv) other expenses or income not related to the operation of the business. 

CAUTIONS ON USE OF NON-GAAP FINANCIAL MEASURES

In addition to the consolidated financial results prepared under T-IFRSs, Chunghwa Telecom also provide non-GAAP financial measures, including “EBITDA”. The Company believes that the non-GAAP financial measures provide investors with another method for assessing its operating results in a manner that is focused on the performance of its ongoing operations.

Chunghwa Telecom’s management believes investors will benefit from greater transparency in referring to these non-GAAP financial measures when assessing the Company’s operating results, as well as when forecasting and analyzing future periods. However, the Company recognizes that:

these non-GAAP financial measures are limited in their usefulness and should be considered only as a supplement to the Company’s T-IFRSs financial measures;these non-GAAP financial measures should not be considered in isolation from, or as a substitute for, the Company’s T-IFRSs financial measures;these non-GAAP financial measures should not be considered to be superior to the Company’s T-IFRSs financial measures; andthese non-GAAP financial measures were not prepared in accordance with T-IFRSs and investors should not assume that the non-GAAP financial measures presented in this earnings release were prepared under a comprehensive set of rules or principle.

Further, these non-GAAP financial measures may be unique to Chunghwa Telecom, as they may be different from non-GAAP financial measures used by other companies. As such, this presentation of non-GAAP financial measures may not enhance the comparability of the Company’s results to the results of other companies. Readers are cautioned not to view non-GAAP results as a substitute for results under T-IFRSs, or as being comparable to results reported or forecasted by other companies.

About Chunghwa Telecom

Chunghwa Telecom (TAIEX 2412, NYSE: CHT) (“Chunghwa” or “the Company”) is Taiwan’s largest integrated telecommunications services company that provides fixed-line, mobile, broadband, and internet services. The Company also provides information and communication technology services to corporate customers with its big data, information security, cloud computing and IDC capabilities, and is expanding its business into innovative technology services such as IoT, AI, etc. Chunghwa has been actively and continuously implemented environmental, social and governance (ESG) initiatives with the goal to achieve sustainability and has won numerous international and domestic awards and recognitions for its ESG commitments and best practices. For more information, please visit our website at www.cht.com.tw 

Contact: Angela Tsai
Phone:   +886 2 2344 5488
Email:    chtir@cht.com.tw 

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SOURCE Chunghwa Telecom

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Qued Partners with Don Hummer Trucking to Bring AI-Powered Smart Appointments to a Family Fleet Trusted for More Than 70 Years

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Family-owned Iowa truckload carrier has confirmed more than 10,000 appointments through Qued, with email scheduling handled at a 98.8% success rate

BROADLANDS, Va., July 21, 2026 /PRNewswire-PRWeb/ — Qued, a leader in developing sophisticated, automated appointment scheduling solutions for supply chain and logistics companies, today announced a strategic partnership with Don Hummer Trucking Corporation, a family-owned interstate truckload carrier trusted by some of the nation’s most recognizable brands. Don Hummer Trucking has deployed Qued’s Smart Appointments platform to automate appointment scheduling across its operations, taking manual booking work off the desks of the people who keep its trucks moving.

Every load delivered safely and on time carries the opportunity to earn our customer’s trust. Qued took a job that used to eat hours of our team’s day and quietly handles it in the background.

The numbers behind the announcement:

More than 10,000 appointments confirmed through Qued94.2% confirmation rate98.8% success rate on email-based scheduling

Qued’s platform selects the best appointment slots in real time, weighing ETAs, facility capacity, historical performance, and the specific requirements of each location. It connects directly to the transportation management system a carrier already runs, and it works on every channel a facility can require: web portals, email, and AI-powered voice calls. At Don Hummer Trucking, email scheduling has been the standout, with Qued handling email-based appointment requests at a 98.8% success rate.

“Don Hummer Trucking is the kind of company this industry is built on. The president holds a CDL and delivers loads. The family name rides on every trailer,” said Tom Curee, President of Qued. “When a three-generation fleet with that much on the line trusts Qued with its appointments, we take it seriously. Hummer’s confirmation numbers show what disciplined operators get when real automation goes to work on scheduling.”

“Every load delivered safely and on time carries the opportunity to earn our customer’s trust. Qued took a job that used to eat hours of our team’s day and quietly handles it in the background. Confirmations happen, trucks keep moving, and our people stay focused on drivers and customers,” said Jake Von Feldt, Vice President of Finance at Don Hummer Trucking.

Don Hummer Trucking joins a growing roster of asset-based carriers on Qued, from family fleets to some of the largest carriers in North America.

About Qued:

Qued is a cloud-based, AI-powered smart workflow automation platform transforming load appointment scheduling for brokers, 3PLs, and carriers. By automating the scheduling process, Qued eliminates manual work, simplifies multi-stop load appointments, and ensures seamless coordination across the supply chain, improving both operational efficiency and customer satisfaction. For more information, visit www.qued.com or contact us at contact.us@qued.com.

About Don Hummer Trucking:

Don Hummer Trucking Corporation is a family-owned and operated, for-hire interstate truckload carrier headquartered in Cedar Rapids, Iowa, with terminal operations in Homestead, Iowa. The Hummer name has been trusted in freight transportation for more than 70 years, and the company today serves many of the largest shippers in the country. For more information, visit www.donhummertrucking.com.

Media Contact

Adam Robinson, The Robinson Agency, 1 2148720780, adam@the-robinson-agency.com, The Robinson Agency 

View original content to download multimedia:https://www.prweb.com/releases/qued-partners-with-don-hummer-trucking-to-bring-ai-powered-smart-appointments-to-a-family-fleet-trusted-for-more-than-70-years-302830398.html

SOURCE Qued

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Bank of America Enhances EricaAssist with Generative AI to Help Employees Resolve Client Needs Faster

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New AI capabilities deliver relevant insights in seconds, helping employees provide more personalized client service in real-time

Key takeaways

More than 18,000 employees use EricaAssist as a human-assisted AI agent to help serve clients.
New Generative AI (Gen AI) capabilities deliver contextual guidance in under three seconds, helping resolve client needs faster and supporting decision making by customer service representatives.
EricaAssist reduces average call times by nearly one minute per interaction, improving efficiency and client experience.

CHARLOTTE, N.C., July 21, 2026 /PRNewswire/ — Bank of America (BofA) today announced enhancements to EricaAssist, its human assisted AI agent that supports employees during client conversations, delivering real time insights that help resolve client needs faster while keeping the employee at the center of the experience.

Used by more than 18,000 customer service representatives, EricaAssist works alongside employees during calls – summarizing and surfacing relevant guidance in real time – so employees can focus on listening to and understanding clients, explaining solutions, and building stronger relationships. The enhancements are making our human agents better and providing our customers with an improved and more efficient experience.

“EricaAssist reflects our high tech, high touch approach,” said Ashley Ross, Head of Consumer Client Experience and Business Transformation at Bank of America. “By combining human judgment with real time AI guidance, we’re helping employees navigate complex topics more easily and serve clients more effectively in the moments that matter most.”

Bank of America customer service representatives use generative AI capabilities within EricaAssist to summarize why a client is calling, pull together relevant information, and recommend next steps based on the employee’s role and the client’s relationship with the bank – all without interrupting the flow of the conversation.

“This technology helps our teammates deliver relevant insights in seconds, while operating with strong governance, transparency, and accountability,” said Tom Ellis, Chief Information Officer and Head of Consumer Technology at Bank of America.

Later this year, Bank of America plans to expand EricaAssist to support additional servicing scenarios and business lines.

Frequently asked questions

Question: Why enhance EricaAssist with GenAI capabilities?

Answer: Enhancing EricaAssist reflects the bank’s focus on continuously improving how employees access and deliver personalized guidance and resolve client needs faster.

Question: How do EricaAssist enhancements reflect Bank of America’s broader investments in technology?

Answer: Bank of America spends $14 billion annually on technology, of which more than $4 billion is allocated to new initiatives, including AI. These ongoing investments, combined with our high-tech, high-touch approach, continue to enhance our client experiences across all channels and to drive operational efficiencies across the company.

Question: Why blend AI with employee decision making?

Answer: Our responsible AI strategy ensures human oversight, transparency, and accountability for all outcomes. By leveraging AI at scale across our global operations, we are optimizing performance and improving client experiences. EricaAssist works alongside employees, supporting their decision-making and service. Employees ensure clients receive thoughtful guidance, with AI operating within established governance and oversight.

Bank of America
Bank of America is one of the world’s leading financial institutions, serving individual consumers, small and middle-market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk management products and services. The company provides unmatched convenience in the United States, serving nearly 70 million clients with approximately 3,500 retail financial centers, approximately 15,000 ATMs (automated teller machines) and award-winning digital banking with approximately 60 million verified digital users. Bank of America is a global leader in wealth management, corporate and investment banking and trading across a broad range of asset classes, serving corporations, governments, institutions and individuals around the world. As the #1 small business lender in the United States (FDIC), Bank of America offers industry-leading support to approximately 4 million small business households through a suite of innovative, easy-to-use online products and services. The company serves clients through operations across the United States, its territories and more than 35 countries and/or jurisdictions. Bank of America Corporation stock (NYSE: BAC) is listed on the New York Stock Exchange.

For more Bank of America news, including dividend announcements and other important information, visit the Bank of America newsroom and register for news email alerts.

Reporters may contact
Catherine Page, Bank of America
Phone: 1.704.519.7314
catherine.page@bofa.com

Don Vecchiarello, Bank of America
Phone: 1.980.387.4899
don.vecchiarello@bofa.com

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SOURCE Bank of America Corporation

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Sonilo and fal Launch Sound Effects 1.0 for Realistic Sound Effects from Video and Text

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Exclusive API co-launch brings Video-to-Sound Effects and Text-to-Sound Effects generation to developers through fal

SAN FRANCISCO, July 21, 2026 /PRNewswire/ — Sonilo, a generative audio company building video-native sound and music models, and fal, the generative media platform for developers and enterprises, today announced the launch of Sonilo Sound Effects 1.0, a new model that generates highly realistic sound effects from video or text.

With video input, Sound Effects 1.0 analyzes what is happening on screen and generates one finished audio track synced to the motion, timing and scene. With text input, developers and creators can describe a specific sound effect and generate it directly.

fal will serve as the model’s exclusive API launch partner during its initial launch period, providing developers with day zero access through fal’s production-ready infrastructure.

Sound Effects 1.0 is designed to address one of the most persistent gaps in AI video production: footage can look complete while still requiring significant manual work before it sounds complete.

When given a video, the model analyzes on-screen motion, scene context, environments, and timing before generating audio that follows what is happening on screen.

Instead of returning a collection of disconnected audio assets that still need to be placed and aligned one by one, Sound Effects 1.0 can produce a synchronized audio track that is ready to review, refine and add to the edit.

“Sound effects only work when they feel like they belong in the scene,” said Trista Hong, Co-Founder of Sonilo. “Sound Effects 1.0 was built around that complete problem: understanding the footage, generating realistic audio, and synchronizing it automatically. We’re excited to launch it together with fal and bring video-native sound into real production workflows.”

A Sound Model Built Around the Video

Traditional sound-design workflows typically begin outside the footage. Editors search sound libraries, preview multiple assets, place them on a timeline, align each effect to the appropriate frame, adjust levels and repeat the process across every action in the scene.

Sound Effects 1.0 begins with the video itself.

The model uses the footage as both a source of semantic information and the timing foundation for the generated audio. It determines what is happening in the scene, what sounds are appropriate for those events and when those sounds should occur.

This video-native approach is particularly useful for scenes containing multiple actions, transitions, impacts and environmental details. Rather than requiring creators to build the sound layer one asset at a time, the model can generate audio around the structure of the footage as a whole.

Sound Effects 1.0 supports video inputs of up to three minutes, making it suitable for short-form content, advertisements, gaming footage, product videos and longer narrative scenes.

Automatic Generation When Speed Matters, Prompt Control When Direction Matters

Sound Effects 1.0 supports two complementary generation workflows.

Video-to-Sound-Effects analyzes uploaded footage and generates sound effects matched to its visible actions, environments and timing.

Text-to-Sound-Effects generates specific standalone sounds from written descriptions, giving creators and developers direct control when they need a particular audio asset.

Prompts are optional in the video workflow. Users can allow the model to interpret footage automatically or provide a prompt requesting a particular sound, emphasis or creative direction.

The prompt helps shape what the model generates, while the video continues to determine when the sound should occur.

This gives users two practical modes of working: automatic sound generation when speed and coverage are the priority, and prompt-guided generation when a scene requires more precise creative control.

Bringing Video-Native Sound Generation to Developers through fal

The co-launch gives developers access to Sound Effects 1.0 through fal’s generative media infrastructure, allowing video-conditioned sound generation to be incorporated directly into products and production workflows.

Developers can use the model to build synchronized sound generation into:

AI video editors and generation platforms;Short-form and social video tools;Advertising and branded-content workflows;Game prototypes, gameplay videos and cinematics;Film and narrative-production pipelines; andMultimodal creator products that combine video, music and sound.

“We’re entering a new era where AI applications don’t just generate assets, they produce complete experiences,” said Tina Sang, Head of Marketing at fal. “Sound is fundamental to making those experiences believable. Sonilo Sound Effects 1.0 helps developers generate context-aware, synchronized audio that matches what’s happening on screen, and we’re very excited to bring it to fal, day zero.”

The integration is designed to let teams move from initial testing to product deployment without building and operating a separate model-serving stack. Developers can access the model through fal’s API and developer tooling while keeping sound generation inside the same environment as their broader generative media workflows.

Expanding the Sonilo and fal Partnership

The launch expands an existing relationship between Sonilo and fal.

Sonilo Music v1.1 is already available through fal, giving developers access to both Video-to-Music and Text-to-Music generation. Sound Effects 1.0 extends that integration from generated music into highly realistic, video-conditioned sound effects.

Using the same source footage, creators and developers can generate sound effects around visible actions and environments, then generate music informed by the video’s pacing, scene changes, mood and timing.

This creates a broader video-first audio workflow in which a single video can serve as the timing foundation for both sound design and music. Sound effects can follow what happens on screen, while music can follow the emotional and structural movement of the edit.

By connecting both layers around the source footage, Sonilo aims to reduce manual synchronization, repetitive asset placement and unnecessary switching between separate audio tools.

Built for Real Production Workflows

For AI video creators, Sound Effects 1.0 can add action cues, environmental details, movement and transitions to generated footage that otherwise arrives without usable audio.

For high-volume creators and gaming channels, the model can reduce repetitive timeline work across content requiring dense sound design, including impacts, interface sounds, room tone and movement.

For filmmakers and narrative teams, it can generate scene-level elements such as footsteps, doors, physical interactions and ambience directly from an edit.

For brands and advertising teams, it can produce precisely timed audio around product interactions, camera transitions, packaging moments and visual reveals.

For platforms and API products, it provides a way to add video-conditioned sound generation without requiring users to leave the product and assemble audio in a separate editing workflow.

About Sonilo

Sonilo builds video-native generative audio models for creators, developers and media platforms. Its technology generates music and sound effects directly from footage or text, helping teams bring audio into the video-creation workflow and reduce manual timeline work. Sonilo is headquartered in San Francisco and backed by B Capital.

Learn more at https://sonilo.com/.

About fal

fal is a generative media platform that provides developers with access to the world’s best generative image, video, and audio models through a unified API. Trusted by over 2.5 million developers and leading companies, fal offers the fastest inference engine for diffusion models, on-demand serverless GPUs, and dedicated compute clusters for frontier research. Learn more at fal.ai.

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