Technology

AKASA Launches First Autonomous AI Platform for Coding and Documentation

Published

4 hours ago

October 2, 2026

Company’s customer base represents 1 in 10 U.S. inpatient discharges as it launches the autonomous mid-cycle for both inpatient coding and clinical documentation in healthcare’s most complex and resource-intensive workflows

SOUTH SAN FRANCISCO, Calif., Oct. 2, 2026 /PRNewswire/ — AKASA, a leader in generative AI for the healthcare revenue cycle, today announced the launch of its autonomous AI platform for the mid-cycle, expanding from AI-powered prebill review into autonomy for both inpatient medical coding and clinical documentation integrity (CDI).

The launch comes amid rapid expansion across AKASA’s health system customer base, driven by their AI products. Inpatient volume processed by the company has grown almost 6x in the last year. Today, AKASA’s customers represent more than $180 billion in aggregate net patient revenue and roughly 10% of the country’s inpatient discharges.

AKASA fine-tunes AI models for individual health systems, thus accounting for differences in patient populations, clinical criteria, documentation practices, and care complexity. This approach ultimately supports complete documentation and accurate coding to better reflect care delivered and improve the patient care process.

“The incredible demand for healthcare is finally being addressed by advancements in AI. Multiple parts of the healthcare ecosystem will need to scale up, with documentation and coding being critical components,” said Malinka Walaliyadde, CEO and co-founder of AKASA. “For years, an autonomous mid-cycle has been a holy grail in our industry. Today, AKASA is making it real.”

Bringing autonomy to healthcare’s most complex revenue cycle workflows

The mid-cycle is where a patient’s clinical record is translated from documentation into codes that drive reimbursement, quality reporting, risk adjustment, and the integrity of the patient record. The work is highly complex, resource-intensive, and still predominantly manual.

That complexity has made reliable automation difficult. A 2025 peer-reviewed study in npj Health Systems cited medical coding error rates of up to 20%, while a July 2026 U.S. Government Accountability Office review identified verifiable accuracy as a central challenge as healthcare organizations adopt AI for medical notes and coding.

AKASA’s autonomous technology is designed to fully code highly complex inpatient cases across all specialties with no human intervention. The company will soon introduce outpatient facility encounters to the platform as well. The platform is designed to expand workforce capacity, accelerate billing, and improve quality performance.

The company has conducted rigorous third-party, blinded evaluations comparing AI performance against medical coder performance. In these studies, the company tested inpatient encounters representing 65%–85% of all inpatient volume for health systems and demonstrated that AKASA’s AI performance matched or exceeded that of human coders on key accuracy measures. These measures included MS-DRG assignment, principal diagnosis, clinical quality capture, and present-on-admission accuracy (all critical to coding quality, compliance, and reimbursement).

Typically, a coder takes 30–60 mins to code an inpatient encounter. In addition, coding workforce shortages and capacity constraints can leave health systems waiting several days after discharge for a coder to even start working on an account. In contrast, AKASA’s AI can complete coding in less than 90 seconds after the patient is discharged, dramatically accelerating the billing process and reducing accounts receivable days.

Beyond medical coding, AKASA extends these capabilities upstream with CDI, helping ensure documentation completeness and creating a unified AI layer across clinical documentation, coding, and prebill review.

As AKASA rolls out the autonomous mid-cycle, it will work with health systems to design customized deployment plans to scale autonomous volume based on needs.

Building on proven results with leading health systems

Through its collaboration with AKASA, Cleveland Clinic has enhanced the accuracy and completeness of its clinical records using the AKASA prebill review products across coding and CDI. Cleveland Clinic intends to explore autonomous mid-cycle solutions with AKASA to further strengthen the accuracy and completeness of its clinical records and enhance operational efficiency.

“Our revenue cycle work is especially time-intensive because we care for many medically complex patients,” said Rohit Chandra, Ph.D., chief digital officer at Cleveland Clinic. “With autonomous coding, we seek to improve speed and precision in these challenging processes under a compliance-first approach to this work.”

AKASA’s expansion into mid-cycle automation builds on years of work helping health systems modernize revenue cycle operations.

“AKASA has been a pioneer in generative AI and in revenue cycle solutions,” said Jeff Francis, chief financial officer and vice president of finance at Nebraska Methodist Health System, who has worked with the company for several years. “We’ve moved with them step by step, and it shows up in the metrics I care about: revenue integrity, denials, write-offs, and how quickly we get paid. Autonomy feels like the natural next step as health systems look for ways to increase capacity and make complex revenue cycle tasks more efficient.”

“Healthcare cannot meet the scale of demand ahead through human labor alone,” said Julie Yoo, general partner at Andreessen Horowitz (a16z). “AKASA is turning deep technical research into frontier AI that can do complex work at scale inside the country’s most sophisticated health systems. Its autonomous mid-cycle technology shows what’s possible when AI is built for the specific demands of complex clinical documentation and inpatient coding.”

About AKASA

AKASA builds AI for the most complex work in the healthcare revenue cycle. Its custom AI models are trained on each health system’s own clinical documentation, case mix, and coding decisions. AKASA supports health systems at every stage of AI adoption. Its solutions range from AI that strengthens CDI and coding teams to fully autonomous workflows that code encounters end-to-end. AKASA’s customers include leading health systems that together account for more than $180 billion in net patient revenue and roughly 1 in 10 U.S. inpatient discharges.

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SOURCE AKASA

Technology

Kindred Credit Union Partners with League Data to Modernize Banking System Operations

Published

22 minutes ago

October 2, 2026

The partnership makes Kindred League Data’s first credit union customer outside Atlantic Canada and reflects a shared commitment to sustainable modernization for Canadian credit unions and their members.

HALIFAX, NS, Oct. 2, 2026 /CNW/ — League Data announced today that Kindred Credit Union has selected the organization as its banking system technology partner, supporting Kindred’s continued modernization and its ability to serve members as their needs evolve. The partnership also marks an important milestone for League Data, with Kindred becoming its first credit union customer outside Atlantic Canada.

The partnership reflects a shared focus on building a modern and sustainable foundation for the future while preserving the cooperative values that continue to differentiate credit unions across Canada.

With over 50 years of experience supporting credit unions, League Data will work alongside Kindred to implement a cloud-based banking platform designed to simplify operations, improve integration, and support evolving member expectations.

“Modernization is about helping credit unions serve their members well today while building the capacity to adapt and grow over time,” said Chad Griffin, chief executive officer of League Data. “We’re proud to work alongside Kindred as they take this important step in their modernization journey.”

League Data’s approach to modernization is grounded in recent experience supporting coordinated transformation across the Atlantic system. Last year, League Data completed the final core banking conversion for 37 credit unions in Atlantic Canada within 15 months. Working alongside these credit unions with values-aligned technology partners like Mambu, the collaboration was able to manage complexity, share learnings, and deliver change in a practical, sustainable way.

The partnership demonstrates how the aggregation model, shaped through years of collaboration with Atlantic Canadian credit unions, can extend the benefits of shared experience, capabilities and scale to credit unions in other parts of Canada.

“Kindred sees tremendous value in credit unions working together and sharing capabilities that strengthen our system,” said Jason Daly, chief executive officer of Kindred Credit Union. “League Data brings significant experience supporting credit unions, and we’re pleased to build on that experience as we continue Kindred’s technology modernization.”

More broadly, the partnership reflects the role collaboration can play in strengthening the Canadian credit union system. By sharing experience, capabilities and scale, credit unions can address common challenges while continuing to serve their distinct members and communities.

About Kindred Credit Union

Kindred Credit Union is a member-owned financial cooperative based in southwestern Ontario. Kindred’s values-centred approach is woven into everything we do and makes us the one-of-a-kind choice for those who want to connect their values and faith with their finances. Kindred offers a complete range of banking, borrowing, and investing products and services through eight branches and online. Members benefit from access to over 43,000 surcharge-free ATMs through THE EXCHANGE® Network in Canada and the Allpoint Network in the US. To learn more about Kindred, visit kindredcu.com.

About League Data

League Data is a cooperative fintech with over 50 years of experience supporting Canadian credit unions. We provide a cloud‑native, API‑first banking ecosystem with a Canadian regulatory and payments layer, enabling credit unions to modernize at their own pace while maintaining control and independence. Our role is to simplify the complexity of technology, helping credit unions reduce costs, operate more efficiently, and deliver better member experiences while staying true to cooperative values. www.leaguedata.ca

SOURCE League Data Ltd.

Technology

aosu Showcases New Doorbell Technology, SolarCam T2 and Local AI at IFA 2026

Published

22 minutes ago

October 2, 2026

Video Doorbell Ultra, faster event capture and a live aosuCortex Ultra demonstration highlight the company’s next generation of home security technology.

BERLIN, Oct. 2, 2026 /PRNewswire-PRWeb/ — aosu showcased new home security products and AI capabilities at IFA 2026 and ShowStoppers, including Video Doorbell Ultra, SolarCam T2 and a live demonstration of aosuCortex Ultra. The presentations focused on wider camera coverage, clearer detail at a distance, faster event capture and local AI processing to help homeowners understand activity around their homes.

[aosu] focused on wider camera coverage, clearer detail at a distance, faster event capture and local AI processing to help home owners understand activity around their homes.

A live look at aosuCortex Ultra at IFA 2026.

Video Doorbell Ultra combines a wider view with AI-assisted visitor communication

Video Doorbell Ultra combines 3K resolution with a wide-angle view extending almost to the sides of a doorway, covering both visitors and the surrounding entrance area. Backlight protection is designed to keep faces clearer when visitors stand against a bright sky or sunlit street.

The doorbell’s 3-in-1 detection combines PIR, radar and AI. Facial recognition, package detection and package protection provide additional information about arrivals and deliveries.

aosu also introduced plans for an AI Doorman beta, enabling the doorbell to communicate with visitors on a homeowner’s behalf. Visitors can introduce themselves, explain the purpose of their visit and leave a message. Homeowners can later review a conversation summary alongside the video.

Video Doorbell Ultra supports a removable battery and a wired power option. The product is expected to launch toward the end of 2026, with a target price of approximately $199. Final timing and pricing remain to be confirmed.

Video Doorbell Ultra on display with its wide-angle camera view at IFA 2026.

SolarCam T2 brings distant details into view

SolarCam T2 made its IFA debut with an emphasis on long-range zoom. Its demonstration showed detail at approximately 50 feet, including license-plate detail relevant to vehicles farther down a driveway. The camera’s telephoto lens captures a closer view of distant people and objects, making details easier to see across a yard or along an entrance route.

T2 also combines full-color night vision, 360° automatic tracking, Smart Vehicle Protection and local storage. Solar-powered operation and wireless installation support straightforward setup with little day-to-day maintenance.

The new model joins T2 Ultra, which emphasizes advanced night vision, and T2 Pro, which uses 3K Dual Vision to expand coverage. The lineups stated purpose is to offer options for homeowners seeking clearer nighttime views, broader coverage or more detail at a distance.

Awards on display beside SolarCam T2 at IFA 2026.

The SolarCam T2 family on display alongside the wider aosu home security ecosystem.

Separate snapshot and recording features aim to narrow the gap between solar and wired cameras

SolarCam T2 combines All Day Snapshots and Always Ready Vision (ARV), two distinct features addressing different aspects of daily monitoring.

All Day Snapshots saves a still image every five minutes, building a timeline homeowners can review as a time-lapse alongside motion recordings. The feature provides an overview of changes throughout the day, including periods between detected events, rather than continuous video.

ARV keeps an energy-saving, low-frame-rate view active between events so normal recording can begin sooner when movement is detected. This is purported to help capture more of the opening action, such as a person entering through a gate, by reducing the time spent waking the camera.

AI features simplify alerts and footage review

aosu’s showcase included people, vehicle and pet recognition, parking monitoring and smarter warnings. It also explored gun detection, dangerous-animal recognition and critical-event prioritization to help homeowners identify activity requiring attention.

Security Reports bring activity together into 24-hour summaries, while AI Smart Search helps homeowners find relevant footage using natural descriptions. Detailed AI Alerts provide information about who or what appeared, what happened and where. Live View Intelligence was is a feature with the goal of adding contextual information to the live camera view.

Exploring the aosu camera lineup at IFA 2026.

aosuCortex Ultra demonstrates local AI in action

aosuCortex Ultra operated live at the event, demonstrating real-time scene understanding, information processing and event classification. Demonstrated capabilities included person and facial recognition, re-identification (ReID) and threat detection. Processing these intelligence functions locally reduces their dependence on cloud processing.

Planned development for Cortex Ultra includes support for 24/7 recording and up to 24 devices, compared with up to eight for the current aosuCortex. The system remains at an early stage, with expanded device support and continuous recording part of its development plans.

The aosuCortex demonstration brought local AI and live camera activity together at the booth.

A closer look at the aosuCortex hardware on display.

Cortex Ultra also appeared at Qualcomm’s booth within a wider showcase of Dragonwing-powered devices. Qualcomm’s IFA 2026 Dragonwing announcements focused on bringing more AI and visual processing directly into connected products.

The Cortex Ultra display presented an AI hub combining specialized AI with a vision-language model to interpret scenes and support proactive protection. Its appearance illustrated aosu’s approach to using local processing to help home security systems recognize activity and provide homeowners with useful information about events.

aosuCortex Ultra in Qualcomm’s Dragonwing showcase at IFA 2026. The display presented its approach to local AI for home security.

Across its IFA and ShowStoppers presentations, aosu outlined a connected home security system combining broader camera visibility, faster recording response and easier footage review. The Cortex Ultra demonstration extended this direction into local AI, with development focused on helping homeowners understand events as they unfold and spend less time checking recordings.

Media Contact

Carmen, aosu, 86 15011073863, carmen@aosulife.com, https://www.aosulife.com

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SOURCE aosu

Technology

Employer demand for tech talent reaches three-year high, CompTIA analysis finds

Published

22 minutes ago

October 2, 2026

September new job postings up 16% year over year

DOWNERS GROVE, Ill., Oct. 2, 2026 /PRNewswire/ — Employer demand for technology talent strengthened in September, increasing across a broad range of occupations, industries and skill areas, according to analysis by CompTIA.

Sixteen of the 20 industries tracked by CompTIA recorded month-over-month increases in tech job postings.

Employers posted 272,040 new openings for IT occupations in September. Active job postings climbed to 625,633, the highest total in more than three years. Compared with September 2025, new IT job postings increased 16% and active postings rose 22.4%, reflecting sustained employer demand for workers with IT skills.1

“Even in an environment where employers remain generally cautious about hiring, there is still strong demand for the core IT skills that can help companies build digital discipline and advance AI adoption,” said Seth Robinson, vice president, research, CompTIA.

Sixteen of the 20 industries tracked by CompTIA recorded month-over-month increases in tech job postings.

While demand for tech talent increased across the broader economy, employment in the technology sector declined by an estimated 10,350 positions in September, according to CompTIA’s analysis of U.S. Bureau of Labor Statistics (BLS) #JobsReport data. Tech occupation employment across all industries fell by roughly 6,000 positions. Unemployment for tech workers edged up to 3.3%, below the national rate of 4.2%.2 Over seven million individuals are employed in tech occupations.

Software, cybersecurity and data lead employer demand

Software developers and engineers remained the most sought-after technology professionals in September, with employers posting 47,598 new openings, up 8.3% from August. Systems engineers ranked second, followed by tech support specialists, data analysts and DevOps engineers. Overall, 23 of the 30 highest-volume technology occupations recorded month-over-month gains in job postings.

Active job postings requiring AI-related skills totaled 349,821, an increase of 32,327 postings from August. Since May 2024, active postings requiring AI-related skills have increased by approximately 282%. At the same time, employer demand for dedicated AI and machine learning occupations continues to grow. Active postings within CompTIA’s AI/ML job titles group reached 13,636 in September, nearly triple the level recorded in May 2024.

The “CompTIA Tech Jobs Report” is available at https://www.comptia.org/en-us/resources/research/tech-jobs-report/.

About CompTIA
CompTIA, Inc. is the leading global provider of vendor-neutral training and certification products in the information technology (IT) space. Over four million CompTIA certifications have been awarded to current and aspiring technology workers, business professionals, government and military personnel, career changers, students and others. Working in partnership with thousands of academic institutions, governments, training providers and workforce development organizations, CompTIA uses best-in-class learning solutions, industry-recognized certifications and career resources to help job seekers reach their full potential and employers develop skilled technical talent. Learn more at https://www.comptia.org/.

Contact
Steven Ostrowski
CompTIA
sostrowski@comptia.org

____________________________

1 Labor market data from the U.S. Bureau of Labor Statistics and employer job postings from Lightcast may be subject to backward revisions.
2 Monthly occupation level data from the U.S. Bureau of Labor Statistics tends to experience higher levels of variance and volatility.

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SOURCE CompTIA