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	<title>AKA AI CO., LTD.</title>
	<language>en_US</language>
	<generator>PRN Asia</generator>
	<description><![CDATA[we tell your story to the world!]]></description>
		<item>
		<title>AKA's 'EOS' Sales Knowledge Engine Completes Pilot with One of the World's Largest Consumer Electronics Companies</title>
		<author></author>
		<pubDate>2026-09-23 01:00:00</pubDate>
		<description><![CDATA[Results from an ongoing enterprise pilot show measurable gains in sales 
knowledge accuracy and evaluation consistency, reinforcing EOS's approach to 
verifiable, fact-grounded sales training

SEOUL, South Korea, Sept. 22, 2026 /PRNewswire/ -- AKA, a Cognitive AI 
Company, today announced that EOS, its Sales Knowledge Engine, has completed a 
contract with one of the world's largest consumer electronics companies, 
validating the platform's ability to improve sales knowledge accuracy and 
evaluation consistency across large, complex retail and reseller networks.

The pilot addressed a challenge common to large-scale consumer electronics 
retail: maintaining consistent, accurate product knowledge across 
geographically and linguistically diverse sales and reseller teams. Traditional 
evaluation methods rely on manager judgment for both soft-skill assessment and 
factual accuracy — introducing inconsistency and scaling poorly across markets 
and languages.

EOS addressed this through its core capability: extracting factual claims 
made by sales representatives during practice conversations and verifying each 
one against the company's own product documentation. Claims that fail 
verification are automatically converted into targeted, citation-backed 
quizzes, closing knowledge gaps directly at the source.

"This pilot reinforced what we've built EOS to prove — that sales training 
outcomes should be measured by factual accuracy, not just how confidently a rep 
speaks," said Raymond Jung, CEO of AKA. "Partnering with an organization of 
this scale gave us a rigorous testing ground for EOS's verification 
architecture, and the results validate our approach for large, 
knowledge-intensive retail environments."

Designed for enterprise security requirements, EOS keeps each customer's data 
fully isolated and never uses it for external model training, with on-premise 
and on-device AI deployment options available for environments with restricted 
external connectivity.

EOS currently supports English, Japanese, and Korean, with additional 
language support in development. The platform is built for knowledge-heavy, 
regulated frontline industries — insurance, telecommunications, automotive, and 
consumer electronics — where large product catalogs and inaccurate statements 
carry real business and compliance consequences.

Teams can start free with up to five seats at akaeos.com <http://akaeos.com>, 
and enterprise buyers can procure the platform by searching for "EOS Pro" on 
the AWS Marketplace or viaakaeos.com/aws <http://akaeos.com/aws>.

About AKA

AKA is developing a generative A.I. engine called Muse. The AI engine aims to 
help provide us with an abundant life and overcome socioeconomic and 
geographical limitations. The current market focus is on Education, Enterprise, 
and Mental Health areas where AKA's AI products fit in.

Media Contact

AKA AI
info@akaintelligence.com <mailto:info@akaintelligence.com> 

]]></description>
		<detail><![CDATA[<p>Results from an ongoing enterprise pilot show measurable gains in sales knowledge accuracy and evaluation consistency, reinforcing EOS's approach to verifiable, fact-grounded sales training</p> 
<p><span class="legendSpanClass">SEOUL, South Korea</span>, Sept. 23, 2026 /PRNewswire/ -- AKA, a Cognitive AI Company, today announced that EOS, its Sales Knowledge Engine, has completed a contract with one of the world's largest consumer electronics companies, validating the platform's ability to improve sales knowledge accuracy and evaluation consistency across large, complex retail and reseller networks.</p> 
<p>The pilot addressed a challenge common to large-scale consumer electronics retail: maintaining consistent, accurate product knowledge across geographically and linguistically diverse sales and reseller teams. Traditional evaluation methods rely on manager judgment for both soft-skill assessment and factual accuracy — introducing inconsistency and scaling poorly across markets and languages.</p> 
<p>EOS addressed this through its core capability: extracting factual claims made by sales representatives during practice conversations and verifying each one against the company's own product documentation. Claims that fail verification are automatically converted into targeted, citation-backed quizzes, closing knowledge gaps directly at the source.</p> 
<p>&quot;This pilot reinforced what we've built EOS to prove — that sales training outcomes should be measured by factual accuracy, not just how confidently a rep speaks,&quot; said Raymond Jung, CEO of AKA. &quot;Partnering with an organization of this scale gave us a rigorous testing ground for EOS's verification architecture, and the results validate our approach for large, knowledge-intensive retail environments.&quot;</p> 
<p>Designed for enterprise security requirements, EOS keeps each customer's data fully isolated and never uses it for external model training, with on-premise and on-device AI deployment options available for environments with restricted external connectivity.</p> 
<p>EOS currently supports English, Japanese, and Korean, with additional language support in development. The platform is built for knowledge-heavy, regulated frontline industries — insurance, telecommunications, automotive, and consumer electronics — where large product catalogs and inaccurate statements carry real business and compliance consequences.</p> 
<p>Teams can start free with up to five seats at <a href="http://akaeos.com" target="_blank" rel="nofollow" style="color: #0000FF">akaeos.com</a>, and enterprise buyers can procure the platform by searching for &quot;EOS Pro&quot; on the AWS Marketplace or via <a href="http://akaeos.com/aws" target="_blank" rel="nofollow" style="color: #0000FF">akaeos.com/aws</a>.</p> 
<p><b>About AKA</b></p> 
<p>AKA is developing a generative&nbsp;A.I. engine called Muse. The AI engine aims to help provide us with an abundant life and overcome socioeconomic and geographical limitations. The current market focus is on Education, Enterprise, and Mental Health areas where AKA's AI products fit in.</p> 
<p><b>Media Contact</b></p> 
<p>AKA AI<br /><a href="mailto:info@akaintelligence.com" target="_blank" rel="nofollow" style="color: #0000FF">info@akaintelligence.com</a>&nbsp;</p>]]></detail>
		<source><![CDATA[AKA]]></source>
	</item>
		<item>
		<title>AKA Launches 'EOS' Sales Knowledge Engine Globally, Now Available on AWS Marketplace</title>
		<author></author>
		<pubDate>2026-08-04 23:00:00</pubDate>
		<description><![CDATA[EOS verifies what sales reps actually say against company documents — and turns 
every failed claim into a citation-backed quiz that certifies real product 
knowledge

SEOUL, South Korea, Aug. 4, 2026 /PRNewswire/ -- AKA, an AI business 
solutions company, today announced the global launch of EOS, a Sales Knowledge 
Engine that verifies and certifies the factual product knowledge of 
customer-facing teams. Alongside the launch, EOS is now listed on the Amazon 
Web Services (AWS) Marketplace, enabling enterprises worldwide to adopt the 
platform through standard cloud procurement.

EOS turns a company's product documents into practice and provable knowledge. 
While conventional AI sales-training tools focus on grading how a 
representative speaks — tone, pacing, and objection handling — EOS focuses on 
whether what they say is factually correct, and converts those results into 
measurable knowledge certification. Its defining capability is assessment 
generation: any claim that fails verification is instantly transformed into a 
targeted, citation-backed knowledge-check quiz mapped to the exact source page.

The workflow is straightforward. An organization uploads its internal 
specifications, playbooks, and pricing sheets, and EOS builds a verification 
layer grounded in those documents. As representatives run practice 
conversations with dynamic AI buyer personas via real-time voice or text, the 
engine extracts factual assertions from the dialogue, cross-references them 
against the source material, and grades each claim as Supported, Contradicted, 
or Insufficient. Because verification is grounded exclusively in the company's 
own uploaded documents, the architecture structurally minimizes the 
hallucination risk of general-purpose AI.

EOS is built for knowledge-heavy, regulated frontline industries — insurance, 
telecommunications, financial services, automotive, and consumer-electronics 
retail — where product catalogs are large and inaccurate statements carry 
compliance consequences. The platform shifts enablement metrics from 
participation-based indicators, such as training hours completed, to 
quantitative data such as product-fact accuracy rates and reductions in 
misinformation.

"The outcome of sales training should be measured not by how fluently a rep 
speaks, but by whether the information they give customers is accurate,"said 
Raymond Jung, CEO of AKA. "EOS goes beyond conversation practice to turn an 
organization's product knowledge into a provable asset. With this global launch 
and our AWS Marketplace listing, knowledge-intensive sales organizations 
everywhere can now adopt that standard."

Designed for enterprise security requirements, EOS keeps each customer's data 
fully isolated and never uses it for external model training. Beyond cloud 
SaaS, the platform supports on-premise and on-device AI deployment options for 
regulated environments with restricted external connectivity.

Ahead of its global launch, EOS completed months-long field pilots with 
enterprise customers across the global consumer-technology and retail sectors, 
validating its verification performance in large-catalog environments.

EOS currently supports English, Japanese, and Korean. Teams can start free 
with up to five seats atakaeos.com <http://akaeos.com/>, and enterprise buyers 
can procure the platform by searching for "EOS Pro" on the AWS Marketplace or 
viaakaeos.com/aws <http://akaeos.com/aws>. 

About AKA

AKA is developing a generative A.I. engine called Muse. The AI engine aims to 
help provide us with an abundant life and overcome socioeconomic and 
geographical limitations. The current market focus is on Education, Enterprise, 
and Mental Health areas where AKA's AI products fit in.

Media Contact

AKA AI
info@akaintelligence.com <mailto:info@akaintelligence.com>

]]></description>
		<detail><![CDATA[<p>EOS verifies what sales reps actually say against company documents — and turns every failed claim into a citation-backed quiz that certifies real product knowledge</p> 
<p><span class="legendSpanClass">SEOUL, South Korea</span>, <span class="legendSpanClass">Aug. 4, 2026</span> /PRNewswire/ -- <span id="spanHghlt3f14">AKA</span>, an AI business solutions company, today announced the global launch of EOS, a Sales Knowledge Engine that verifies and certifies the factual product knowledge of customer-facing teams. Alongside the launch, EOS is now listed on the Amazon Web Services (AWS) Marketplace, enabling enterprises worldwide to adopt the platform through standard cloud procurement.</p> 
<p>EOS turns a company's product documents into practice and provable knowledge. While conventional AI sales-training tools focus on grading how a representative speaks — tone, pacing, and objection handling — EOS focuses on whether what they say is factually correct, and converts those results into measurable knowledge certification. Its defining capability is assessment generation: any claim that fails verification is instantly transformed into a targeted, citation-backed knowledge-check quiz mapped to the exact source page.</p> 
<p>The workflow is straightforward. An organization uploads its internal specifications, playbooks, and pricing sheets, and EOS builds a verification layer grounded in those documents. As representatives run practice conversations with dynamic AI buyer personas via real-time voice or text, the engine extracts factual assertions from the dialogue, cross-references them against the source material, and grades each claim as Supported, Contradicted, or Insufficient. Because verification is grounded exclusively in the company's own uploaded documents, the architecture structurally minimizes the hallucination risk of general-purpose AI.</p> 
<p>EOS is built for knowledge-heavy, regulated frontline industries — insurance, telecommunications, financial services, automotive, and consumer-electronics retail — where product catalogs are large and inaccurate statements carry compliance consequences. The platform shifts enablement metrics from participation-based indicators, such as training hours completed, to quantitative data such as product-fact accuracy rates and reductions in misinformation.</p> 
<p>&quot;The outcome of sales training should be measured not by how fluently a rep speaks, but by whether the information they give customers is accurate,&quot; <span id="spanHghlt81b3">said Raymond Jung, CEO of AKA</span>. &quot;EOS goes beyond conversation practice to turn an organization's product knowledge into a provable asset. With this global launch and our AWS Marketplace listing, knowledge-intensive sales organizations everywhere can now adopt that standard.&quot;</p> 
<p>Designed for enterprise security requirements, EOS keeps each customer's data fully isolated and never uses it for external model training. Beyond cloud SaaS, the platform supports on-premise and on-device AI deployment options for regulated environments with restricted external connectivity.</p> 
<p>Ahead of its global launch, EOS completed months-long field pilots with enterprise customers across the global consumer-technology and retail sectors, validating its verification performance in large-catalog environments.</p> 
<p>EOS currently supports English, Japanese, and Korean. Teams can start free with up to five seats at <a href="http://akaeos.com/" target="_blank" rel="nofollow" style="color: #0000FF">akaeos.com</a>, and enterprise buyers can procure the platform by searching for &quot;EOS Pro&quot; on the AWS Marketplace or via <a href="http://akaeos.com/aws" target="_blank" rel="nofollow" style="color: #0000FF">akaeos.com/aws</a>.&nbsp;</p> 
<p><b>About AKA</b></p> 
<p><span id="spanHghltf714">AKA is developing a generative&nbsp;A.I. engine called Muse. The AI engine aims to help provide us with an abundant life and overcome socioeconomic and geographical limitations. The current market focus is on Education, Enterprise, and Mental Health areas where AKA's AI products fit in.</span></p> 
<p><b>Media Contact</b></p> 
<p><span id="spanHghlte516">AKA AI<br /><a href="mailto:info@akaintelligence.com" target="_blank" rel="nofollow" style="color: #0000FF">info@akaintelligence.com</a></span></p>]]></detail>
		<source><![CDATA[AKA]]></source>
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