Category Archives: Technology

Liquibase Secure 6.0 Brings Database Change Governance to Enterprise Scale

New release gives enterprises one place to see database change, govern how it happens, and control who can change the rules as human and AI-driven development accelerates

AUSTIN, Texas, September 30, 2026 – Liquibase, the leader in Database Change Governance, today announced the general availability of Liquibase Secure 6.0, a major release that makes it easier for enterprises to automate and govern database change across mission-critical applications, data products, and AI initiatives.

The way enterprises build and deliver technology is changing quickly. Application and data teams are releasing more often, developers have more autonomy, and AI is dramatically increasing the volume of code and database change enterprises produce. But the controls around database change have not kept pace. Policies are still often scattered across pipelines, configuration files, repositories, and teams, making them difficult to manage consistently as organizations scale.

Liquibase Secure 6.0 changes that model by moving database change governance from pipeline-by-pipeline configuration to enterprise scale. Organizations can see database change across the enterprise, understand and remediate issues when they occur, define and manage policies from one place, set governed exceptions when they are needed, and control who has the authority to manage those policies. It gives enterprises a simpler way to answer three questions that become harder as the volume of change grows: What changed? Was it allowed? Who controls the rules?

“AI is dramatically increasing the volume of application and database change enterprises produce. Governance has to become a force multiplier for that innovation, not the thing that slows it down,” said Pete Pickerill, Co-Founder at Liquibase. “With Liquibase Secure 6.0, organizations can establish the rules once, automate how they are enforced, and give teams more freedom to move quickly because the right controls are already in place.”

Change Intelligence Turns Database Change Visibility Into Action

At the center of Liquibase Secure 6.0 is Change Intelligence, a completely new capability that gives enterprises a clearer picture of database change across applications, pipelines, teams, and environments.

Database teams have historically had to reconstruct what happened from pipeline logs, tickets, screenshots, and other disconnected sources. That becomes especially painful when something goes wrong. Teams need to understand what changed, where it failed, whether environments have drifted, what risk was introduced, and what they should do next.

Change Intelligence brings deployment activity, environment status, drift, policy outcomes, failures, and change history together in one place. Teams can understand how changes are moving across environments, identify where risk is building, and see what needs attention without manually piecing together the story across individual pipelines and tools.

More importantly, Change Intelligence helps teams move from visibility to action. When a deployment fails, AI-driven analysis helps teams understand what happened and provides remediation guidance to resolve the issue faster. Change Intelligence also centralizes audit evidence, giving engineering, security, and compliance teams a structured record of database change throughout the delivery lifecycle.

For executives and operators alike, Change Intelligence helps enterprises understand what is happening across the database estate, identify problems faster, and determine what to do next.

Making Enterprise Database Change Governance Easier

Governance has traditionally come with a tradeoff. Enterprises want consistent standards and stronger controls but they don’t want to create another layer of process that slows down delivery.

Liquibase Secure 6.0 also introduces a new graphical interface for policy management that makes governing database change much easier. Teams can create, organize, apply, and manage policies from one place instead of relying on pipeline-by-pipeline configuration or specialized command-line knowledge.

The new experience includes 50+ prebuilt policy rules based on years of working with some of the world’s largest and most complex enterprises. Teams can start with proven controls, organize them into reusable policy packages, and apply them across the applications and environments where they are needed.

The new experience also makes exceptions part of the governance model rather than something teams have to work around. When a legitimate exception is needed, teams can scope where it applies, document why it exists, control who can make it, and retain the decision in the audit history. Organizations can maintain consistent standards without pretending every application, data product, team, or database operates exactly the same way.

Controlling Who Can Change the Rules

As database change governance moves from individual pipelines to the enterprise, organizations also need control over who owns and manages those standards.

Liquibase Secure 6.0 introduces role-based access control that determines who can manage policies, assignments, exceptions, and governed assets. Organizations can separate ownership of governance from application and data delivery, creating clear responsibilities around who defines the rules and who works within them.

This allows enterprises to maintain separation of duties without taking autonomy away from development teams. Developers can continue moving quickly inside established boundaries, while database, platform, security, and compliance teams maintain control over the standards that protect the organization.

Together, Change Intelligence, centralized policy management, and role-based access control create a new operating model for database change. Enterprises can see what changed, govern what is allowed, and control who owns the rules from one platform rather than stitching together controls across individual pipelines.

Governance as a Force Multiplier for AI

AI is increasing how quickly enterprises can build and deliver applications and data products. But that advantage erodes if every increase in development speed creates a corresponding increase in manual review, operational risk, and governance overhead.

That is why governance becomes a force multiplier for AI. When database standards are defined up front and enforced automatically, enterprises can move faster with AI without requiring a human to review every database change it helps create. Whether a change is written by a developer or generated with AI assistance, the same policies and controls can be applied before it reaches production.

The goal is not to slow AI down so existing governance processes can keep up. Liquibase Secure 6.0 makes it possible for governance to operate at the speed of development, giving teams the freedom to increase the speed and volume of change while maintaining the controls the enterprise requires.

That model extends beyond AI. Liquibase Secure supports more than 65 database platforms, giving organizations a consistent governance layer across heterogeneous database environments. Platform and DevOps teams can scale database self-service without scaling governance overhead, database teams can spend less time rebuilding controls and reviewing routine changes, and security and compliance teams can put controls and evidence closer to the point of change.

As mission-critical applications, data products, and AI initiatives increase the speed, volume, and sources of database change, Liquibase Secure 6.0 gives enterprises one place to see that change, govern how it happens, and control who can change the rules, whether the change comes from a human or AI.

Availability

Liquibase Secure 6.0 is generally available September 30, 2026. The release includes Change Intelligence, the new graphical interface for centralized policy management, role-based access control, governed exception management, and 50 prebuilt policy rules.

For more information about Liquibase Secure 6.0, visit www.liquibase.com/liquibase-secure.

VISION 2026 Sets the Stage for AAEON to Demonstrate AI in Action

Taipei, Taiwan – Sept 30 AAEON (Stock Code: 6579), a leading provider of Edge AI and machine vision solutions, will present a range of live application demonstrations and static product introductions at Booth #8C19 of VISION 2026, held from October 6 to October 8, 2026.

Date: October 6 – October 8, 2026

Booth: #8C19

Venue: Messe Stuttgart, Germany

AAEON, which will be among a record number of exhibitors at this year’s show, will open its live demonstrations with a collaboration with partner Awentia, whose AVT Physical AI Core will be used with AAEON’s modular MEX-BTS System Box. The demonstration will show how machine vision is moving beyond smart cameras and into the realm of physical AI as a means of contextualizing the physics of materials inspected within AI-driven quality control systems.

AAEON will also present a scalable Al video management and analytics platform powered by Network Optix Nx Meta on the AION-S34-Q670A-A10-2L AI Workstation, built on the MAX-Q670A Micro-ATX motherboard. Using real-world video scenarios, this demonstration will illustrate how Al-powered analytics can enhance situational awareness, security monitoring, and operational efficiency across distributed environments.

From AAEON’s line of Compact Fanless Embedded AI Systems featuring NVIDIA Jetson Orin series modules, the BOXER-8652AI will be used to run Isarsoft Perception, an Al-powered video analytics solution for real-time road traffic measurement. Meanwhile, rounding off AAEON’s live demonstrations will be a contactless heart rate monitor comprised of the Intel Core Ultra-powered UP Xtreme i14 and a MIPI camera, which combines remote photoplethysmography (rPPG) with Edge Vision Al to measure visitors’ real-time heart rates without physical contact or a wearable device.

Throughout the show, AAEON will host a static lineup of products from across its single-board computer, embedded AI system, and developer board ranges, with a particularly notable inclusion being the MIX-PTLWV1, the company’s first Mini-ITX motherboard featuring Intel Core Ultra Series 3 Processors. Another AAEON first featuring the Panther Lake series will be the COM-PTHB6 COM Express Type 6 module, expected to enter mass production in H1, 2027.

Visitors are encouraged to join AAEON at Booth #8C19, where representatives will be available to discuss AAEON’s product roadmap and provide details of the demonstrations on display.

For more information about VISION 2026, or to register to attend, please visit the official exhibition website.

“Boring” B2B Videos Beat Almost Every B2C Ad With 28.7% Hook Rate

Marketers assumed B2B products were too dry for social video. Billo’s analysis of 88,000+ Meta ads shows the category outperformed nearly every consumer group.

September 30, 2026. A new analysis by social media marketing company Billo shows that B2B ads are often more watched than B2C ones. In an analysis of more than 88K Meta video ads, B2B posted a 28.7% hook rate (the share of viewers who kept watching past an ad’s opening seconds). The only category that showed better results was Toys & Games (28.8% hook rate).

Furthermore, in March, the B2B category hit 33%, the highest monthly hook rate any category recorded.

“B2B being too dry for social video is one of the most expensive assumptions in marketing, and the data just doesn’t back it up. B2B ads held attention better than almost every consumer category we tracked this year. It just takes a longer time for B2B videos to convert. B2B clients watch ads and come back weeks later once the budget clears, or a team signs off. And brands that misread this as a failure are missing their opportunities to earn,” said Donatas Smailys, co-founder and CEO of Billo.

Most visual categories fell behind

The product types traditionally seen as most suited to video were not the ones that held attention best. Apparel & Accessories and Electronics, two of the most visual categories in the dataset, stayed below the cross-industry average (25.44%) in all six months, at 22.9% and 22.2%.

Categories with little to put on screen moved the other way. B2B stayed above the cross-industry average every month, and in March it reached 33%, the highest any category reached in any month.

“Being easy to film isn’t the same as being worth watching. When every ad in a category opens on the same product shot, viewers scroll past all of them. B2B brands can’t lean on the product, so they have to open on the problem or the person, and this year that paid off,” said Smailys.

What B2B businesses can do

Treat video as a format that can earn attention, not one to skip. A few practical starting points:

• Show a real person, not only the product. B2B video requires less unboxing and demonstrating than consumer video, so the presenter often leads.
• A good hook still needs a good hold. The hook rate shows who stops scrolling, whereas the hold rate shows who continues watching after the video starts, a better indicator of whether the message is actually getting through.
• Skip the internal jargon. If the hook is built on an inside term or acronym, anyone outside the category loses interest within three seconds.
• Speak to more than one buyer. A B2B purchase usually needs sign-off from several people, so the video has to hold up even when it’s forwarded to someone who never saw the original pitch. 
• Keep the message consistent from hook to landing page. Having a strong opening gets attention, but if the offer or message changes once someone clicks through, the trust built in those first seconds is quickly destroyed.

Methodology

The findings are drawn from 88,329 sales-objective Meta video ads that ran between January and June 2026, each with more than 1,000 impressions. The dataset spans $122 million in ad spend and $212 million in purchase value across 14 categories defined by advertiser product type. More: https://billo.app/blog/h1-2026-video-ad-benchmarks/

AAEON Breaks Down Thermal Barriers with the New UP Xtreme PTL Edge Air

With AirJet^® solid-state active cooling technology, the UP Xtreme PTL Edge Air is 35% thinner and 43% lighter while delivering Intel^® Core™ Ultra Series 3 performance.

Taipei, Taiwan – Sept 29: AAEON (Stock Code: 6579) today announced the release of the UP Xtreme PTL Edge Air, a Panther Lake-powered Mini PC featuring Frore Systems’ AirJet^® solid-state active cooling technology. With this innovative thermal management, the Mini PC replaces conventional fan-based cooling with ultrasonic-frequency membrane vibration technology to generate high-speed pulsating airflow to provide high-capacity heat dissipation without the added height that comes with a heatsink.

Of particular note to developers and integrators alike will be the fact that because of the reduced space taken up by thermal management components, the UP Xtreme PTL Edge Air is 35% slimmer and 43% lighter than the fan-cooled UP Xtreme PTL Edge, released earlier this year. Specifically, the new system’s height is listed as just 35.8mm and weighs in at 1.57 lb.

AAEON has positioned the system as an ultra-slim Mini PC suited for integration in space-constrained applications such as ultra-thin kiosk setups, low-clearance AMR housing, and compact mobile healthcare units. One feature that stands out for each of these verticals is its elimination of fan-induced vibration.

AAEON note that the UP Xtreme PTL Edge Air operates at less than 21 dBA, resulting in it being a quieter, more stable platform for robotic controllers, actuators, sensors, and cameras. For robotics applications, AAEON state that combined, these features can reduce torque around moving joints and minimize mechanical disturbance for precision sensing equipment.

Like its counterpart, the UP Xtreme PTL Edge Air is available with a choice of the Intel® Core™ Ultra X7 processor 358H, Intel^® Core™ Ultra 7 processor 356H, or Intel® Core™ Ultra 5 processor 325 from the Intel^® Core™ Ultra Series 3 processors lineup (formerly Panther Lake). Users will therefore be able to leverage the series’ integrated 12 X^e-core Intel^® Arc™ GPU and Intel NPU 5.0 for up to 180 TOPs of AI performance.

Despite its unique design, the UP Xtreme PTL Edge Air sacrifices very little as a trade-off, with a 6% increase in power consumption and a narrower operating temperature range of -10°C to 45°C being the only downsides. However, the PC does provide the same I/O as its predecessor, comprised of four USB ports (two Type-C ports with USB 4.0 and two Type-A ports with USB 3.2 Gen 2 signals), dual 2.5GbE LAN ports, and two COM ports offering RS-232/422/485. Alongside these, the system provides two HDMI 2.1 ports and two DP 2.1 via its USB Type-C ports for four simultaneous displays.

Where expansion is concerned, the UP Xtreme PTL Edge Air offers two M.2 2280 M-Key slots for NVMe, an M.2 2230 E-Key slot for Wi-Fi, as well as the 40-pin GPIO that has become synonymous with UP products.

“This is a very exciting product for us, particularly because it addresses real challenges that our customers have in integrating high-performance edge AI hardware into applications with space constraints,” said Irene Lin, Senior Product Manager from AAEON’s UP division. “I really believe that this will be a gamechanger for solution builders, and look forward to seeing the impact the UP Xtreme PTL Edge Air has on projects going forward,” Lin added.

Rohde & Schwarz Expands FSWX Analyzer With New Multi-Channel Pulse Analysis

ACI Worldwide and Cognizant Demonstrate Strong Card Processing Performance on Amazon Web Services, Inc. (AWS)

Report: Companies Need a New Playbook to Unlock the Value of AI Agents

New York, September 24, 2026… As AI agents move beyond experimentation, companies must decide not just where to deploy them, but how work itself should change.

A new report from The Conference Board offers a five-stage framework for redesigning work around AI to produce measurable business value. The framework draws on interviews, focus groups, and hands-on research with senior HR, talent, and AI leaders.

The stakes are rising as AI investment accelerates. In The Conference Board C-Suite Outlook 2026, 43.6% of executives identified AI and technology as an investment priority, more than any other investment choice. But capturing value requires more than buying tools or launching pilots. Leaders must decide on the desired business outcomes, determine how work will be divided between people and AI, put the right governance in place, measure results, and decide how any gains will be used.

“AI agents can complete more and more work, but capability alone doesn’t create value,” said Allan Schweyer, Principal Researcher, Human Capital, The Conference Board. “Companies need to know what outcome they’re trying to improve, what the agent should—and shouldn’t—do, and whether the redesigned process actually performs better. Otherwise, more automation can simply mean doing the wrong work faster.” 

The report outlines five stages:

1. Start with the desired business outcome.

• Identify the outcome the organization wants to improve first, then determine where AI agents can add value.
• Avoid deploying agents simply because the technology is available.

2. Redesign and allocate work before deploying agents.

• Break workflows down task by task to determine what AI should handle, what people should handle, and where they should work together.
• Consider quality, judgment, accountability, the consequences of errors, employee impacts, and customer value.
• People should remain accountable for the results, even when agents perform work autonomously.
• Deliberately redesign the human role, including the skills, training, job level, and potentially compensation required for the work that remains.

3. Build the infrastructure, governance, and budget agents require.

• Leaders need to account for data, permissions, controls, monitoring, maintenance, and human supervision.
• The full cost of operating an agent can extend well beyond vendor or model fees. In one illustrative model, direct AI-model use represented just 9.4% of an agent’s recurring monthly cost.

4. Measure what people and agents produce together.

• Track whether redesigned work improves quality, speed, cost, or other business outcomes, not simply whether an agent completed a task.
• Time freed by AI should not automatically be counted as a financial gain; the organization should first demonstrate how that time was used and what measurable result it produced.
• The report recommends distinguishing among three types of gains:
• Cash savings: Spending that actually disappears, such as overtime, contractor costs, or other expenses.
• Avoided future costs: Planned spending or hiring that is no longer required.
• Higher-value work: Employee time redirected to other work that produces a measurable result.

5. Decide where the gains go.

• Verified gains can reduce costs, help organizations handle more work without equivalent hiring, support reinvestment, or deliver benefits to employees and customers.
• Leaders should clearly communicate how those gains will affect jobs, staffing, and employees.

Protect early-career talent pipelines.

• When AI takes over routine work, organizations risk eliminating tasks through which employees traditionally build judgment and experience.
• Leaders should replace that learning deliberately through mentoring, rotations, supervised practice, and progressively more complex work.

HR and IT need to work together.

• IT may own the technology, but HR should help shape roles, skills, staffing, training, and change management wherever AI alters how work gets done.

“Agentic AI is not simply an IT initiative, nor is it solely an HR initiative,” said Diana Scott, US Human Capital Center Leader, The Conference Board. “Business leaders need to own the outcome, technology needs to provide secure and dependable tools, finance needs to test the economic case, and HR needs to ensure roles, skills, staffing, and employee experience evolve along with the technology.”

This research was produced in collaboration with SkillsRight, a nonprofit organization that aligns workforce strategy, organizational capability, and change management to help employers translate skills-first commitments into scalable systems, practices, and talent pipelines.

Flir and MentorAPM Streamline Asset Condition Assessment with New iXX-Series App Integration

Sept 24: Flir announced the worldwide availability of the MentorLens® app by MentorAPM on its professional-grade iXX-Series thermal imaging cameras, bringing AI-driven asset condition assessment directly onto the camera.

Flir announced the worldwide availability of the MentorLens® app by MentorAPM on its professional-grade iXX-Series thermal imaging cameras, bringing AI-driven asset condition assessment directly onto the camera. Developed by MentorAPM, a provider of asset performance management software for critical infrastructure, the app allows maintenance and reliability teams to capture nameplate, condition and thermal imagery on a single device and send it straight to the asset record, without the file transfers and manual data entry that have long slowed condition monitoring programs.

In industrial operations, the value of a thermal inspection is determined less by the image itself than by what happens to it afterward. Files are moved from an SD card to a laptop, thermal metadata is altered or lost along the way, and findings end up in a folder rather than in the system where maintenance work is actually planned. Running natively on the iXX-Series, the MentorLens app removes that handoff. Images upload from the camera directly to the asset record with their thermal data intact, and technicians can create new assets or update existing ones without leaving the camera. All Flir imaging and hardware controls remain available, including MSX, palette selection, lamp and laser, so the same device that captures the thermogram also captures the nameplate photo and the condition photo.

Once the images are synced, MentorLens processes them automatically. Nameplate and tag data is transcribed into standard asset attributes, visual imagery is scored for condition, and thermal imagery is measured against operating baselines taken from the asset’s own nameplate data or from manufacturer manuals. Reports return observed anomalies, temperature readings and recommended actions, and because previous assessments for the same asset are carried into the analysis, degradation is tracked across inspections rather than judged one image at a time.

“Customers don’t need more inspection data. They need actionable information that helps them prevent downtime and make better maintenance decisions,” said John Gould, Sr. Director of Strategic Business Development, FLIR. “With MentorAPM integrated into the iXX-Series workflow, thermal findings become part of a broader asset health picture. Data is automatically evaluated against previous conditions and delivered to the teams responsible for maintenance planning, enabling earlier intervention and more effective predictive maintenance programs.”

For the wider organization, the benefits go beyond the inspection itself. Condition and thermal results feed the MentorLens platform, where rules can automatically trigger preventive work orders and where condition history, work history and SCADA events are held against the same asset record. Reports are exported as standardized PDFs, and the underlying data can be pushed by API into an existing CMMS or EAM system, so operators are not obliged to change their system of record in order to benefit. Every AI-assisted workflow keeps a human in the loop, with a person confirming what is committed against the asset.

“For most operators the hardest part of asset management is still the most basic one, which is knowing what you own and what condition it is in,” added Tacoma Zach, CEO of MentorAPM. “Putting our app on the iXX-Series means high-quality thermal data now enters that picture at the point of capture, from the same technician and the same device. In plants where downtime is measured in millions of dollars an hour, the payback on that is very quick.”

First proven in water and wastewater utilities, the combined solution is now being adopted in manufacturing, metals, and oil and gas, where thermographic inspection has typically been outsourced to specialist contractors at considerable expense. MentorAPM reports that customers using MentorLens achieve up to 10x faster field data collection and cost savings of more than 75 percent against conventional condition assessment methods. The MentorLens app is available worldwide now for Flir iXX-Series users with a MentorAPM subscription.

Both companies will present the integration at the SMRP 34th Annual Conference, held 28 September to 1 October 2026 at the Raleigh Convention Center in Raleigh, North Carolina. Tacoma Zach, CEO of MentorAPM, leads an Innovation Lab session titled “From Camera to Asset Intelligence: AI Workflows for Reliability Teams” on Tuesday 29 September, 1:15 to 2:15 PM ET, in Innovation Lab #3. The session walks through practical workflows using MentorLens with Flir thermal cameras to capture equipment information, analyze visual and thermal conditions and generate structured asset intelligence automatically. John Gould of Teledyne FLIR joins the session to discuss the iXX-Series. The solution will also be demonstrated at the Flir booth, 1307, and at the MentorAPM booth, 512.

MobileSphere Index Finds Mobile Numbers Are Becoming the New Digital Identity

Financial services account for 41.6% of identified verification activity, as messaging and global mobility highlight the expanding role of the mobile number

CAMBRIDGE, Mass. – Sept. 16, 2026 – MobileSphere, a leading provider of global mobile communications, today released its Mobile Identity Index for the first half of 2026, finding that the mobile number is evolving from a communications endpoint into an important digital identity credential used to access banking, payments, technology platforms, messaging services, and other parts of everyday digital life.

Powered by SLYNUMBER data, the research analyzes more than half a million aggregate and anonymized mobile verification events from January through June 2026. Financial services accounted for 41.6% of identified verification activity, more than twice the share of any other single vertical. Digital services, including platforms such as Google, Microsoft and AI services, represented 18.8%, while messaging accounted for 11.0%. Together, financial services, digital services, and messaging apps represented 71.4% of identified activity, rising to 81.2% when transportation was included. 

The findings show the mobile number functioning as more than a way to call or text. It is increasingly part of the identity layer consumers use to access money, activate digital services, communicate, recover accounts, and stay connected across devices, networks, and locations.

“The mobile number has quietly become a critical part of our digital life,” said Toufic Mobarak, founder and President of MobileSphere. “We depend on it to access our money, communicate, activate social and messaging apps, recover accounts, and confirm our identity. That role becomes even more critical when people travel, relocate, or live across borders.”

Financial services emerge as the leading mobile identity use case

Financial services led the identified verification mix across the first half and gained 9.7 percentage points in share from the beginning to the end of the period. Activity spanned banks, payment services, bank-linking platforms, credit products, and cash-flow tools, reinforcing how deeply the mobile number is embedded in financial authentication, account access, and customer continuity.

Additional Findings:

•  Messaging gained share. Messaging represented 11.0% of identified activity across the half and increased 4.4 percentage points, with higher aggregate activity across several international messaging services during major travel periods.

•  Mobile identity moves with consumers. Aggregate verification activity shifted around tax season, major travel periods, and global events, showing how aggregate demand for access to financial, communications, and mobility services can change alongside real-world events.

•  Connectivity and identity are different layers. For travelers and expatriates, eSIMs, roaming plans, Wi-Fi, and hotspots can provide connectivity, but continued access to a recognized mobile number may still matter for banking, payments, messaging, and account recovery.

•  Mobile identity is concentrated in essential digital services. Financial services, technology, and messaging accounted for 71.4% of identified activity, rising to 81.2% when transportation was included.

•  Emerging service trends are visible. AI services and international messaging produced some of the strongest growth signals in aggregate verification activity during the half, with OpenAI-related activity reaching record levels in May and June and multiple messaging services reaching record or near-record levels during major travel periods.

By tracking aggregate verification activity over time, the Mobile Identity Index is designed to detect emerging shifts in the digital services consumers rely on for identity and access. This report highlights these trends to underscore the critical importance of user digital identity. To download the full 1H 2026 report, visit:
https://slynumber.com/docs/MobileSphere_Mobile_Identity_Index_1H2026_Research_Report.pdf

Wordly Turns Live Event Translation into Revenue Generator

Organizers can now fund language access for multilingual events with high-visibility sponsor logo placements

LOS ALTOS, CA – September 23, 2026 – Wordly, the pioneer in AI translation and captions used across conferences, governments, schools, and enterprises, today announced the launch of Sponsor Logos, a new enhancement that allows event organizers to sell sponsor placement within the live translation and captioning experience for the first time. The release marks the beginning of a broader series of new features rolling out this fall, each designed to expand Wordly’s value for event teams. 

Sponsor Logos places a partner’s branding directly on the attendee screens, whether they are following captions on their phones or reading translated subtitles on the screen of the main stage. For multi-stage events, each session can carry its own sponsor, creating a new tier of high-visibility inventory that organizers can sell to partners. In addition to providing a new piece of sponsorship inventory while helping fund the language access that makes an event more inclusive, and potentially more valuable to sponsors and attendees alike. 

“Event organizers are constantly challenged to stretch budgets while providing inclusive, accessible experiences,” said Wordly Founder & CEO Lakshman Rathnam. “With Sponsor Logos, language access isn’t just a cost center anymore, it’s a high-visibility revenue stream.” 

Sponsor Logos builds on Wordly’s growing momentum across the events industry, where demand for real‑time captioning and translation continues to rise. Adoption of live AI translation and captions has pushed Wordly past the 1‑billion‑minutes and 6‑million‑users milestones, fueling 668% three‑year growth. 

“Event organizers have already saved more than $200 million by switching from traditional human interpretation to Wordly,” continued Rathnam. “Sponsor Logos takes that value even further by giving teams a powerful way to showcase sponsors and generate more revenue.”