Category: Channels

BYAHT Inc. launches Glow.B’s AEO and GEO services to help brands secure visibility in AI-generated answers from platforms like SearchGPT and Perplexity.

SAN FRANCISCO, CA, UNITED STATES, March 18, 2026 /EINPresswire.com/ — BYAHT Inc., the innovator behind the AI-powered creator marketing agentic SaaS ‘Glow.B,’ officially announced today the commercialization of its proprietary Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) solutions. This strategic launch marks a significant shift in digital marketing, moving beyond traditional Search Engine Optimization (SEO) to ensure brand visibility within the rapidly evolving generative AI search ecosystem.

As generative AI platforms such as SearchGPT, Perplexity, and Google’s AI Overviews redefine how consumers discover information, the traditional battle for search engine rankings is undergoing a fundamental transformation. In this new era, the primary challenge for brands is no longer just appearing in a list of links, but being cited as a trusted, authoritative source by AI models.

To address this paradigm shift, Glow.B has completed an intensive five-month R&D phase focused on AEO and GEO-based content strategies. The newly launched service provides a comprehensive technical pipeline that analyzes AI search patterns and deploys creator-led content specifically structured for AI indexing and citation.

“The future of brand marketing depends on becoming a trusted source that AI agents actively recommend,” said Dong-gyu Kim, CEO of BYAHT Inc. “With Glow.B’s AEO and GEO solutions, we are not just driving traffic; we are building brand authority in the generative AI era by combining sophisticated data analysis with high-impact creator content.”

Glow.B’s platform utilizes specialized AI agents to automate the creator marketing process. These agents identify the most compatible creators for a brand and design content structures—including semantic keyword flow and information hierarchy—that are optimized for AI model consumption. This ensures that when a user queries an AI engine, the brand is significantly more likely to be featured in the generated response.

Currently supporting marketing efforts across 19 countries, including the United States, South Korea, and Japan, BYAHT Inc. aims to lead the global MarTech industry by continuously evolving its AI-driven optimization technologies to meet the demands of the next generation of search.

For more information, visit https://byaht.com/en or https://biz.glowb.io/. About BYAHT Inc.

BYAHT Inc. is a premier MarTech company based in Seoul, South Korea, specializing in AI-driven creator marketing through its flagship platform, Glow.B. By integrating advanced data science with the creator economy, BYAHT provides automated, high-ROI marketing solutions for global brands looking to navigate the complexities of modern digital environments.

Dong Kyu, Bill, Kim
BYAHT Inc.
bkim@byaht.com
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AI data curation will hit $253B by 2030. As “dirty data” costs firms $12.9M , shifting to agentic memory and synthetic data is vital.

LONDON, UNITED KINGDOM, March 18, 2026 /EINPresswire.com/ — Information Matters Ltd today announced the release of its comprehensive market report, AI Data Curation Market Report and Forecast 2025-2030. The research identifies a fundamental paradigm shift in the artificial intelligence sector: as the “experimental novelty” of AI wears off, the “curation” layer—the refining and governing of information—has become the primary determinant of model safety and performance.

The global AI Data Curation market is projected to grow from $82.05 billion in 2025 to $253.23 billion by 2030, representing a robust compound annual growth rate (CAGR) of 25.3%.

The “Guardrail Economy” and the Synthetic Pivot
The report breaks down the market into five primary domains, highlighting Knowledge Engineering & Context as the fastest-growing pillar with a 43.7% CAGR. This growth is fueled by the rise of “Agentic AI,” where autonomous agents require long-term memory and structured reasoning to function as effective digital employees.

Key findings from the report include:
• The Cost of “Dirty” Data: In 2024, the average enterprise lost $12.9 million due to undetected data errors impacting AI decisions.
• The Synthetic Revolution: By 2025, analysts estimate that real-world data will be exhausted or legally restricted for many use cases, making Synthetic Data Generation—growing at 46.4% CAGR—a primary market propellant.
• Efficiency Gains: Advanced ingestion tools are transforming high-stakes industries; for example, investment banking researchers have reduced analysis cycles from 40 hours to under 90 minutes through automated data extraction.
• Regional Leadership: North America currently holds the largest market share at 43.05%. However, Asia and Africa are seeing the fastest growth in AI adoption, with 64% of the population in the UAE using AI daily.

Strategic Analysis for a High-Stakes Era
“Trust is no longer a philosophical preference; it is a technical requirement for deployment,” the report notes. With the entry of significant regulatory frameworks like the EU AI Act, data curation has evolved from a defensive compliance cost into an offensive economic strategy. Organizations are increasingly moving away from keyword-based search toward “answer-based” discovery, a shift expected to impact over $750 billion in consumer spend by 2028.
The report also features a “Companies to Watch” section, highlighting innovators such as Unstructured.io in data extraction, Galileo in observability, Neo4j in graph technology, and Gretel.ai in synthetic data.
Download the AI Data Curation market report

Martin De Saulles
Information Matters
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Solution delivers actionable procurement intelligence from day one backed by nine years of AI investment and a data platform built for scaling AI agents

SEATTLE, WA, UNITED STATES, March 18, 2026 /EINPresswire.com/ — Suplari, the procurement intelligence company, today announced Spend Analytics, a complete reimagining of spend analysis built for the AI era. Unlike legacy tools that require months of data preparation and produce static reports, Suplari’s solution automatically unifies, cleanses, and enriches spend data from any source and delivers actionable savings opportunities, compliance gaps, and supplier risks from day one.

The release marks a decisive step in Suplari’s mission to move procurement teams beyond traditional analytics and into what co-founder and CEO Jeff Gerber describes as “the agentic operating system for procurement.”

The Spend Analytics Problem Nobody Has Solved

Enterprise procurement teams have long struggled with a fundamental paradox: they need clean, trustworthy data to generate insights, but cleaning data takes so long that the insights arrive too late to act on. With information scattered across ERPs, P2P systems, contract repositories, and spreadsheets, often with conflicting supplier records and inconsistent classifications, teams spend more time fixing data than analyzing it.

According to Gerber, this is the single biggest barrier he sees customers face. “A lot of companies feel like their data’s so bad they couldn’t even start. That’s really never the case,” he said in a recently. “We’ve built out a product and a process that gets you to that first milestone quickly, and then gives you the roadmap to perfect your data in a journey that delivers more value over time.”

Start with the Answer, Then Prove It

Suplari Spend Analytics inverts the traditional approach to procurement analytics. Rather than presenting procurement teams with dashboards, charts, and tables and asking them to find the opportunities, Suplari’s AI agents surface prioritized savings opportunities, anomalies, and risks automatically — then provide the full analytical trail to validate each finding.

“The idea was we’d start with the answer and let you go to the analytics to prove that it was a real opportunity, versus having to sift through charts and graphs and tables to find these opportunities,” Gerber said. “That was the real inspiration for Suplari.”

This approach is powered by an AI data platform that Suplari has been developing since 2016 — years before the current wave of generative AI. The platform treats data quality as a continuous, automated process rather than a prerequisite, ingesting data from multiple systems, resolving conflicts, normalizing supplier records, and enriching the results with third-party risk, ESG, and market data to create a single governed source of truth.

Nine Years Building for AI — Not Retrofitting It

In a market where virtually every procurement vendor now claims AI capabilities, Gerber draws a clear distinction between platforms purpose-built for AI and those that have added it as an afterthought.

“We were doing AI before AI was cool,” Gerber said. “We’ve been building for AI for nine years, and so now adding our LLM-powered agent was a very natural, easy fit. Our APIs are rich, and AI can leverage them in really intimate ways and deliver higher quality output than if you had just retrofitted AI on the platform.”

The result is a platform where AI agents don’t just answer questions — they continuously monitor spend patterns, detect anomalies, identify consolidation opportunities, flag contract leakage, and even help orchestrate the actions needed to capture value. Suplari’s agents adapt to each customer’s priorities, whether that’s tail spend reduction, category fragmentation, regulatory compliance, or supplier risk management.

From Cost Center to Strategic Function

Gerber sees Suplari Spend Analytics as more than a technology upgrade. In an environment where procurement teams face shrinking headcount and growing mandates, he believes the solution helps individual procurement leaders demonstrate strategic value to the C-suite.

“Procurement oftentimes is looked at as a roadblock,” Gerber said. “We can help organizations understand that actually, there is a lot of value you can drive from this function. If you’re slinging spreadsheets and PowerPoints around, that’s probably not what you should be doing nowadays if you can automate that with AI.”

Some Suplari customers are already pushing the boundaries of traditional spend analytics, connecting procurement data with CRM and revenue data to identify balance-of-trade patterns and even drive sales outreach — turning procurement from a cost center into a growth enabler.

Key Capabilities of Suplari Spend Analytics
– Automatic data ingestion and unification from ERP, P2P, contract, and financial systems
– AI-powered cleansing, classification, and continuous enrichment with third-party data
– Prioritized savings opportunity detection across tail spend, category fragmentation, contract leakage, and pricing variance
– Natural language analytics that let teams answer complex spend questions in seconds
– AI agents that continuously monitor, detect, and help orchestrate procurement actions
– One-to-two-week implementation to first milestone — no months-long data preparation required

Availability
Suplari Spend Analytics is available now. To see the platform in action and explore how it applies to your procurement data, visit suplari.com/products/spend-analytics or request a demo.

About Suplari
Suplari is the procurement intelligence platform built for AI. Founded in 2016 and spun out of Microsoft in late 2023, Suplari combines a unified data foundation with procurement-specific AI agents to help enterprise teams shift from reactive cost control to proactive value creation. Trusted by organizations including Verizon, Nordstrom, ServiceNow, and Workday, Suplari delivers spend visibility, savings detection, and action orchestration from a single governed platform. Learn more at suplari.com.

Lari Numminen
Suplari
lari@suplari.com

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SAN FRANCISCO, CA, UNITED STATES, March 18, 2026 /EINPresswire.com/ — — Netlify, the platform where agents and developers build together, today announced a new way to create software on Netlify. Teams can now start a new project from a prompt at netlify.new using Agent Runners. Choose from a leading coding agent (Claude Code, Codex or Gemini CLI) and get a live web app on Netlify in minutes.

AI has changed how software gets built, but most tools still force a tradeoff. You can move fast with prompts, or you can build on a platform designed to support you all the way to production. Netlify is designed to be both. Whether a project starts with AI or in code, it starts on the same platform teams can keep using as they scale. For developers, that means a faster path from idea to real software without setup overhead or rework later.

“Coding agents are becoming the new way people start software. That changes what a platform needs to do. Netlify has to offer the best agent experience in the market,” said Matt Biilmann, co-founder and CEO of Netlify. “It’s not enough to help a builder get something live quickly. You have to give them a real project on infrastructure that is ready for production.”

Unlike AI tools that often break down as projects get more serious, Netlify lets teams keep building on the same project. Code and prompts run on the same project, the same infrastructure, and the same workflow. Developers work in code while teammates iterate with prompts. No rebuild or migration later.

“If your project takes off and goes to production, everything you need is already there,” said Clark Wimberly, design engineer and co-founder of Superfun, a studio that builds websites, design systems, and apps.

Netlify’s built-in platform capabilities, like serverless functions, Identity, Blobs, Forms, and AI Gateway are available from the start. That means teams can move beyond a prototype without stopping to stitch together the infrastructure they need to ship.

This launch also opens a new path for enterprise teams adopting AI-assisted building across functions. Netlify’s new Internal Builder seat offers governance and role-based access built in, allowing product managers, designers, marketers, and other internal teams to build with agents inside their Netlify organization. Engineering keeps oversight of what reaches production, making it easier for teams to prototype internal tools and build internal apps together, without stepping outside the workflows and controls they already use.

Available on Netlify March 18, 2026 at netlify.new.

Read our blog at http://www.netlify.com/blog/start-a-netlify-project-from-a-prompt.

About Netlify
Netlify is the platform where agents and developers build together. More than 10 million developers and teams use Netlify to build, launch, and scale sites and applications on a single platform. Netlify coined agent experience (AX) to define a new way to build, with humans and agents working side by side. Netlify is defining that new era. Whether teams start with AI or code, Netlify gives them the infrastructure, workflows, and built-in capabilities to get to production faster. Brands including Figma, Mattel, and Riot Games trust Netlify to power their digital experiences. Learn more at netlify.com.

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Netlify
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Cambashi reviews the mechanical CAE and simulation market, highlighting AI innovation, major acquisitions, and growth opportunities for 2026.

CAMBRIDGE, CAMBRIDGESHIRE, UNITED KINGDOM, March 18, 2026 /EINPresswire.com/ — The mechanical CAE and simulation market experienced a year of significant change in 2025, marked by major acquisitions, rapid advances in artificial intelligence, and continued growth in cloud-based simulation.

A new analysis from Cambashi suggests these developments are reshaping the competitive landscape and influencing how engineering organisations plan their future simulation strategies.

In its latest Cambashi’s View – Mechanical CAE and Simulation: Review of 2025 and Opportunities in 2026, the analyst firm reviews the key events that defined the past year and outlines several trends expected to shape the market in the near future.

Among the most notable developments were several high-profile acquisitions involving leading engineering software companies. These included Synopsys’ acquisition of Ansys, Siemens’ acquisition of Altair, and Cadence’s acquisition of Hexagon’s Design & Engineering Software business. According to Cambashi, these moves have significantly reshaped the competitive structure of the mechanical CAE sector and contributed to the emergence of a new “Big 3” among major vendors.

The View also points to the growing influence of artificial intelligence and machine learning in engineering simulation. New approaches, including physics-informed AI and emerging agent-based engineering tools, are beginning to change how simulation workflows are created and managed, with the potential to automate parts of the engineering process and accelerate design cycles.

At the same time, the shift toward cloud-based simulation platforms continues as companies look for more scalable computing resources to support increasingly complex models and data-intensive engineering analysis.

Cambashi’s latest View explores what these developments mean for software vendors, investors, and engineering leaders as they prepare for the next phase of growth in the CAE and simulation market.

Key highlights from the Cambahi’s View:

• The emergence of a new “Big 3” in mechanical CAE following major industry acquisitions
• The growing role of AI and machine learning in engineering simulation workflows
• An analysis of the projected market landscape for 2026
• Six key growth drivers expected to influence the market over the coming year

Access deeper market insights

Cambashi also provides the CAE and Simulation Market Observatory, which provides detailed analysis of more than 480 software providers across the engineering software landscape.
Organisations interested in deeper insight can request a recent sample to see how Cambashi’s market data can support strategic planning and investment decisions.

About Cambashi

Cambashi is a global industry analyst firm specialising in engineering, industrial, and enterprise software markets. The company provides market research, data, and strategic insight to software vendors, investors, and industry stakeholders worldwide.

Anastasia Prokhorova
Cambashi
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