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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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SK hynix Announces 3Q26 Financial Results

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Reports revenues of 104.6155 trillion won, operating profit of 83.3338 trillion won, net profit of 39.7756 trillion won; Quarterly sales surpass 100 trillion won for the first timeSales of HBM4 and high-value-added server products expanded; HBM4 expected to be the mainstream product from the fourth quarterLong-term agreements secured for more than 50% of 2027~2028 production capacity; A structure that reflects market conditions and ensures stable profitabilityMost of the gains from the Kioxia investment to be shared with shareholders, with  approximately 100 trillion won in shareholder returns to be executed this year

SEOUL, South Korea, Oct. 27, 2026 /PRNewswire/ — SK hynix Inc. (or “the company”, www.skhynix.com) announced today that it has recorded 104.6155 trillion won in revenues, 83.3338 trillion won in operating profit (with an operating margin of 80%), and 39.7756 trillion won in net profit (with a net margin of 38%) in the third quarter.

Record quarterly results in both revenue and operating profit and revenue surpasses 100 trillion won for the first time

In a market environment in which prices of key products have risen on the back of growing demand for AI memory, the company once again posted all-time-high quarterly results in both revenue and operating profit, underpinned by the competitiveness of its high-value-added products. In particular, revenue exceeded 100 trillion won for the first time in the company’s history. Revenue and operating profit increased by 32% and 38%, from the previous quarter, respectively.

– Q2 2026: Revenue of 79.3187 trillion won, Operating Profit of 60.5426 trillion won

By product, DRAM results were driven by a significant increase in sales of server DDR5 while HBM4 shipments began in earnest. In NAND, sales of 321-layer TLC eSSD expanded, and high-value-added products for data centers continued to grow across the board.

The company’s financial structure has also become significantly concrete. At the end of the third quarter, cash and cash equivalents stood at 114.5 trillion won, up 26.5 trillion won from the end of the previous quarter, while borrowings decreased by 2.8 trillion won to 15.8 trillion won. As a result, net cash increased to 98.7 trillion won.

Memory supply shortage to persist through 2030

SK hynix analyzed that a virtuous cycle has taken hold in which AI-driven productivity gains and new revenue generation in areas such as software development, customer service, and search lead to greater AI adoption, which in turn drives increased investment in infrastructure. It also projected that, as the drivers of AI investment move beyond the early stage, when a small number of companies accounted for most of it, and broaden to include general enterprises and nation-level initiatives, the global AI data center infrastructure market will continue to grow steadily.

The company likewise expects the memory market to sustain its growth, led in the short term by enterprise and personal AI and, over the mid-to-long term, by physical AI such as autonomous driving and robotics.

The company assessed that supply, on the other hand, is not keeping pace with the growth of the market. Given technical difficulty of leading-edge processes and the long lead time required to build new production facilities, it expects the structure in which demand exceeds supply to persist through 2030.

Expanding production capacity and strengthening product competitiveness to achieve a further step up in growth next year

Building on these favorable conditions, the company plans to accelerate the expansion of production capacity and the strengthening of product competitiveness in order to sustain the current growth momentum, and to scale up revenue and profit one step further next year.

First, the company plans to rapidly increase the portion of its 10nm-class 6th generation (1c) process technology and expand sales of DDR5 and LPDDR5 SOCAMM for AI servers, thereby further strengthening its DRAM portfolio centered on high-value-added products.

To respond to surging HBM demand, the company will ramp up M15X to maximum capacity by the end of the year to increase HBM4 production. Accordingly, the company expects HBM4 to surpass HBM3E in both shipment volume and revenue in the fourth quarter and to establish itself as a mainstream product.

In NAND, the company will raise the ratio of its 321-layer process to more than half of its domestic production capacity in the fourth quarter, and thereby increase the supply of high-performance, high-capacity eSSD. Over the mid-to-long term, the company intends to develop NAND into a core solution that enhances the throughput and economic efficiency of AI services, based on HBF and system optimization technologies.

Long-term agreements secured for more than 50% of 2027~2028 production capacity and the company to drastically expand investment next year

To improve mid-to-long term demand visibility and solidify its growth foundation, SK hynix is expanding long-term agreements (LTAs) with customers. The company has currently signed LTAs with 14 major customers, including leading global cloud service providers (CSPs), and is also proactively discussing with a number of customers the possibility of extending the contract terms, which are typically five years.

The LTA volume secured to date corresponds to more than 50% of total production capacity for 2027 and 2028. In particular, by introducing a mechanism that reflects market conditions within a price range agreed upon with customers, the company has established a structure that secures stable profitability while allowing flexible responses to market changes.

Backed by the demand visibility, the company is also moving to expand its production capabilities. Next year, with the Yongin Phase 1 entering full-scale operation and domestic and overseas infrastructure investment gaining momentum, investment is expected to increase significantly. The company nevertheless plans to adjust the scale and timing of its investment flexibly, after carefully weighing customer demand, product competitiveness, profitability and investment efficiency.

Most of the gains from the Kioxia investment to be shared with shareholders, with approximately 100 trillion won in shareholder returns to be executed this year

As previously indicated in August, SK hynix announced its additional shareholder return plan. For fiscal year 2026, the company will pursue shareholder returns totaling approximately 100 trillion won, comprising cash dividends of 30 trillion won or more and share repurchases and cancellations of 60 trillion won or more in total, including the 40 trillion won announced in August. Through this, the company intends to fulfill its commitment to return 50% or more of free cash flow (FCF). Of this, the 40 trillion won share repurchase announced in August was completed last week, and the shares will be cancelled shortly.

The company also set out its principles: the dividend amount will be determined on the basis of operating results; if significant investment gains arise, they will be returned additionally through special dividends; and share repurchases will continue every quarter.

At today’s meeting, the Board of Directors resolved on a third-quarter cash dividend of 14 trillion won and a share repurchase of 20 trillion won. Of the shares to be repurchased, 10 trillion won, earmarked for shareholder returns, will be cancelled in full, while the remaining approximately 10 trillion won will be used for employee compensation and is not included in the shareholder return total.

The third-quarter dividend is 20,000 won per share, consisting of a 10,000-won dividend reflecting improved earnings and a 10,000 won special dividend that shares the gains from the Kioxia investment. The company has decided to return to shareholders most of the gains realized from its Kioxia investment this year.

SK hynix emphasized that it will deliver stable results based on robust memory demand growth and technological competitiveness and the company will consistently share financial achievements with our shareholders.

 3Q26 Financial Results (K-IFRS)

*Unit: Billion KRW

3Q26

QoQ

YoY

2Q26

Change

3Q25

Change

Revenues

104,615.5

79,318.7

32 %

24,448.9

328 %

Operating Profit

83,333.8

60,542.6

38 %

11,383.4

632 %

Operating Margin

80 %

76 %

3%p

47 %

33%p

Net Income

39,775.6

93,922.6

-58 %

12,597.5

216 %

* Financial information of the earnings is based on K-IFRS

* Please note that the financial results discussed herein are preliminary and speak only as of October 28, 2026. Readers should not assume that this information remains operative at a later time.

* Percentage changes are calculated on the basis of unrounded figures.

Disclaimer

This material has been prepared by the Company for informational purposes only, and the information contained herein has not undergone any separate, independent verification process. No representations or warranties are made regarding the fairness, accuracy, or completeness of the information contained in this material, and such information should not be relied upon. Neither the Company nor its employees bear any civil, criminal, or administrative liability for any damages arising from this material or from its use.

Review of the FY2026 Q3 financial results has not been finalized. Figures in this earnings release are subject to changes during the independent auditing process.

All financial information contained in this document is based on consolidated K-IFRS.

This material contains forward-looking statements, which involve risks and uncertainties. These statements are generally identified words such as “may,” “will,” “intend,” “should,” “believe,” “expect,” “anticipate,” “project,” “estimate” and similar expressions, or the negative of such expressions. Forward-looking statements are not guarantees of future performance and are subject to inherent risks, uncertainties, and other factors that could cause actual results to differ materially from those expressed or implied. Readers are cautioned not to place undue reliance on any of these forward-looking statements. These forward-looking statements speak only as of the date hereof. SK hynix undertakes no obligation to update any of these forward-looking statements to reflect events or circumstances after the date of this news release or to reflect actual outcomes, unless required by law.

This material does not constitute a solicitation for the acquisition or purchase of securities, and no part of this material should serve as the basis for any contract, agreement, or investment decision, nor should it be relied upon in connection therewith.

About SK hynix Inc.

SK hynix Inc., headquartered in Korea, is the world’s top tier semiconductor supplier offering Dynamic Random Access Memory chips (“DRAM”) and flash memory chips (“NAND flash”) for a wide range of distinguished customers globally. The Company’s shares are traded on the Korea Exchange, and the Global Depository shares are listed on the Luxembourg Stock Exchange. Further information about SK hynix is available at www.skhynix.com, news.skhynix.com.

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DealLabs Builds Travel AI Data Layer with 280,000 Verified Local Records Across Seven Asian Cities

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SEOUL, South Korea, Oct. 28, 2026 /PRNewswire/ — Seoul-based travel data company DealLabs announced that it has built a database of verified local travel information for seven Asian cities: Seoul, Busan, Tokyo, Osaka, Bangkok, Taipei, and Singapore. As of October 13, the database contained more than 280,000 records, each accompanied by its source and verification date. It powers more than 23,000 guide pages and is published in formats AI systems can read directly.

It covers what travelers look for after arriving: subway station exits, timetables, first and last trains, fares, restaurants, tourist attractions, hospitals, closing days for Singapore’s hawker centers, and business hours for Taipei’s night markets. In Osaka alone, the database contains more than 114,000 records, including more than 42,000 medical institutions and pharmacies and more than 30,000 restaurant permits. In Taipei, it contains more than 63,000 records, including 7,200 station-to-station fares.

The number of times generative AI search and answer services accessed DealLabs’ data increased from around 600 times per day on a seven-day average in late September to more than 11,000 times per day in mid-October, nearly 20-fold in less than a month.

Travel information changes rapidly. On the same day, public event listings and organizers’ own notices gave different end dates for three of 25 pop-up stores in Seoul, up to 10 days apart. Business hours, closing days, last train times, and fares are among the areas where AI travel answers are most frequently inaccurate. DealLabs continuously updates this information using official sources.

All seven cities have AI-ready guide files (llms.txt) and data APIs, while Seoul also provides a standard API specification (OpenAPI). The seven cities are run using a single common engine, allowing a new city to be added simply by incorporating that city’s data and sources.

DealLabs is also piloting “Visit Plan Check,” which checks travel AI itineraries against official sources daily.

Young Cho, founder and CEO of DealLabs, said, “When travelers ask AI a question, what matters is whether the answer is accurate for that city today. We will establish a standard for local data that travel AI can rely on.”

DealLabs plans to expand its coverage to 10 cities by the end of 2026 and to 30 cities, including New York and Paris, by 2028.

For more information, please visit https://deallabs.net.

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Teijin Selects Kharon to Strengthen Export Controls Compliance Across Global Operations

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Kharon ClearView will support Teijin teams in Japan, the United States, and Europe as they navigate Japanese and U.S. export controls requirements.

DENVER, Oct. 28, 2026 /PRNewswire/ — Kharon, a data and technology company that provides risk intelligence solutions to help organizations manage regulatory and business risk, announced that Teijin Limited has selected Kharon ClearView to support its export controls compliance program.

Headquartered in Japan, Teijin operates a global materials business that includes carbon fiber and other advanced materials used in aerospace and industrial applications. Its international operations require compliance teams to navigate export control requirements across multiple jurisdictions, including Japan and the United States.

“As a global company, we need an export controls approach that can support our teams across markets,” said Hitoshi Onodera, General Manager of the Quality Assurance and Security Export Control Department and Manager of the Security Export Control Group at Teijin. “We selected Kharon because of the depth of its risk intelligence, ease of use, and its ability to give our teams greater visibility into the entities and relationships that matter to our reviews. ClearView will help us bring that context consistently into our due diligence processes across our operations.”

Teijin will deploy ClearView across its operations globally. ClearView enables compliance teams to investigate complex entity relationships, including ownership and commercial connections to parties subject to export controls and other trade restrictions.

“Advanced materials companies operate in an increasingly complex export controls environment, where understanding the parties behind a transaction can be just as important as screening the names directly involved,” said Ethan Woolley, Global Director of Strategy at Kharon. “Teijin’s decision to deploy ClearView across its operations reflects the importance of having that level of insight. We are pleased to support its teams as they strengthen their approach to export controls compliance.”

About Teijin

Teijin Limited is a Japan-based global technology company providing products and solutions across advanced materials, healthcare, and other technology-driven fields. Founded in 1918, Teijin’s businesses include high-performance materials such as aramid fibers, carbon fibers, and composites, serving applications across mobility, infrastructure, industry, and other markets. The Teijin Group comprises 126 companies and approximately 15,700 employees worldwide.

For more information, visit https://www.teijin.co.jp/.

About Kharon

Kharon’s intelligence supports compliance, trade, risk, and national security programs at organizations around the world, including seven of the 10 largest U.S. banks, six of the 10 largest EU banks, and over 35 Fortune 100 companies. Kharon’s data can also be directly integrated with AI applications and agentic operations through Kharon’s API, MCP, and agent gateway infrastructure, enabling organizations to embed Kharon’s sourced, structured insights into automated workflows alongside their teams.

Visit kharon.com and follow Kharon on LinkedIn to stay connected.

Media contact

Kharon
media@kharon.com

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