LATEST TECH ARTICLES

How per-speaker text signatures lifted overall accuracy from the low 40s to 58% (and to 83% for speakers with history), and the ten plausible ideas we killed with data along the way.

From high-volume Metric/Trace/Log pipelines to AI and LLM anomaly detection, deployment and operations automation, and SLI/SLO-based 24x365 operations - how TecAce builds AIOps on its own R&D solutions and delivers it on site through FDEs.

Enterprise AI OS is the operating layer that runs and governs an enterprise's many AI Workspaces & Agents and business resources under one shared policy. Across AI maturity Levels 0–4, the bottleneck sits between Level 2 and Level 3 — and that line is crossed with an operating system, not a bigger model. Governed Capability Skills, a Security & Policy Harness, a Tool/Resource Gateway, and AI Supervision build a scalable enterprise AI operating foundation that is not tied to a

Shadow AI was involved in 43% of breach incidents, and 74% of Korean companies name AI as their single largest data security risk. Here is an 8-point checklist a 30–300 person company with no dedicated AI team can run in two weeks.

CCAF (Claude Certified Architect – Foundations) Certification-Based Registration — June 5, 2026 TecAce Software, LTD. (hereafter TecAce) officially joined Anthropic's official partner program, the Claude Partner Network, as of June 5, 2026. The registration follows TecAce engineers earning CCAF (Claude Certified Architect – Foundations), the first official technical certification issued by Anthropic. Below, we cover TecAce's registration alongside the structure of the CCAF ce

Lee Hansoo, Managing Director of AI Business at TecAce, appeared on Radio Korea's "Northwest Issues in Focus" on the 5th to share this news and introduce the company's business background and know-how in applying AI. TecAce, a Korean American IT company headquartered in Bellevue, Washington, has drawn attention from the local Korean community after joining Anthropic's official partner network. The company recently co-hosted a hands-on AI seminar for Korean American business o

KEEP AI ON BRAND The Role of AX Hub, Skill, and Governance If AI can't be stopped, it must be made to work within the brand. AX Hub is the brand operating system for the AI era. Key Message If AI can't be stopped, it must be made to work within the brand. Executive Summary Many companies have brand guidelines. But most exist only as PDFs — created once, filed away, and consulted only when needed. The problem is that AI doesn't automatically follow that PDF. For AI to produce

WHO APPROVED THIS AI DESIGN? Consistency Matters More Than Speed Making something fast doesn't make it good design. A brand isn't protected without review. Key Message AI has made it possible for anyone to design, but not everyone can maintain brand consistency. Executive Summary In the age of AI, what's growing fastest inside a company isn't the number of designers, but the number of people creating things with AI. Sales teams create proposals, marketing teams create banners

Why AI Voice Agents Are Becoming the Standard for Appointment-Based Businesses Whether it's a restaurant, a clinic, or an auto shop, any appointment-based business knows this scene all too well. While staff are helping the customer in front of them, the phone rings, and they have to choose one of two options: leave the customer waiting to answer the call, or let the call go. Studies show that a single missed call costs an average of about $450, which adds up to as much as $42

A Forward Deployed Engineer (FDE, On-Site Engineer) is an engineer who embeds directly within a client's team to understand the actual mechanics of their business. They identify where AI belongs (and where it doesn't) and take full responsibility for building, deploying, and operating production-grade AI on top of existing enterprise systems. Target Audience: Mid-market enterprises looking to adopt generative AI but struggling to move past the Proof of Concept (PoC) phase. •

앤트로픽 공식 파트너 테크에이스가 광역시애틀한인회, 시애틀한국일보와 함께 연 AI세미나에 60여 명이 몰렸습니다. AI를 진짜 비즈니스 도구로 만드는 법을 정리했습니다.

Summary: The reason 95% of enterprise generative-AI pilots never reach production isn't model performance — it's "operational fit." To get past this, manufacturers need to stop chasing flashy demos and instead automate a single job end-to-end, all the way through to the data, using a 5-step framework. At a glance Content Who is this for Decision-makers and practitioners at small and mid-sized manufacturers with no AI team, or only 1–2 people What problem it solves The "PoC gr

Discussing business innovation and hair care data systematization based on over 40 years of hair appliance expertise Unix, Korea's leading specialized hair appliance brand, is collaborating with AX specialist company TecAce (hereinafter TecAce) to apply AX to internal business processes and to structure hair care content data. Leveraging TecAce's AI collaboration capabilities, the two companies are discussing ways to apply AX across content planning, data organization, and

Backed by proven enterprise AI transformation (AX) results and certified architect capabilities, TecAce now fully supports enterprises in deploying Claude to production. Bellevue, WA & Seoul — TecAce Software, LTD., a specialized AI technology company, announced that it was officially registered with Anthropic's "Claude Partner Network" as of June 5, 2026. The registration was based on its in-house engineers earning the CCAF (Claude Certified Architect – Foundations) certif

TecAce가 AX Diagnostic을 만든 이유와, 그것으로 무엇을 알 수 있는지에 대하여

Supporting GPU and cloud operations for a 6.5 billion won generative AI project Joins the Konan Technology-led consortium as the specialized GPU infrastructure and cloud MSP partner Provides infrastructure architecture and operational systems for stable execution and operation of a large-scale public AI project Expected to enhance project execution stability by combining Konan's high-performance large language model (LLM) and LLMOps platform with infrastructure and operationa

"You want to put AI on a smartphone?" — The Beginning of a Reckless Challenge The story of how TecAce's AI Supervision Team built the On-Device LLM Tester "Um… I'd like to automatically measure LLM performance on a smartphone." A brief silence fell over the meeting room. Our team was developing our own on-device AI chatbot. The problem was that every time we swapped models, a tester had to physically hold the phone, send prompts one by one, and time everything by hand. That p

DESIGNER IS NOT DEAD In the AX Era, Design Is About Standards, Not Tools Figma or Adobe is not the real issue. In an era where AI tools are becoming part of everyday work, the more important question is this: can your brand and design standards remain consistent even when the tools change? Executive Summary As AI tools continue to grow, questions like “Can we design without Figma?” or “Do we still need Adobe?” have become more common. But these questions miss the bigger point

Gartner says 85% of AI failures come down to data-quality problems. Here are the 3 failure patterns repeatedly seen in SMBs and mid-sized companies in Korea and the U.S., plus a 20-item self-diagnosis checklist to run before adoption. Of these, only 8 truly require humans.

From 12,000 documents scattered across 5 systems to a living knowledge graph of 8,500 nodes and 23,000 relationships. The measured results of six months adopting TecAce AXKH, which combines Ontology-based RAG, a Multi-Agent pipeline, and Human-in-the-Loop governance.