martechoutlook

Nextech3D.ai Launches Next Era of GPT AI 3D Solutions Led by Former Microsoft Executive

Martech Outlook | Thursday, February 15, 2024

Transformative GPT AI Suite of a Dozen 3D-AI Solutions to Lead Companies Growth 

TORONTO, ON, Canada  -   Nextech3D.AI (OTCQX: NEXCF) (CSE: NTAR) (FSE: 1SS), a Generative AI-Powered 3D model supplier for Amazon, P&G, Kohls, Miele and others including major e-commerce platform integrations with Shopify, BigCommerce and WooCommerce is pleased to announce it is launching the next era of GPT AI 3D product solutions of proprietary Artificial Intelligence (AI) algorithms. The initiative will be led by former Microsoft  Executive Hareesh Achi, who is Nextech3D.ai’s current Head of Product Operations. The Company believes that the AI opportunity is in the early stages, and that the shift from 2D to 3D modeling for e-commerce is part of a major multi-decade transformation that is being led by AI. The company is working on annual enterprise licensing deals for its suite of GPT AI solutions for 3D models and 3D maps.

The initial suite includes 12 GPT's:

Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.

● GPT 2D image search engine for 3D models that delivers 3D meshes based on 2D images

● GPT text based 3D search engine that takes text prompts to provide a 3D mesh based on description.

● GPT that identifies complexity of a model and estimates cost of making a 3D model based on 2D image.

● GPT 3D model analyzer: classifying model categories, generating textual metadata from 3D models

● GPT that automatically aligns 2D floor maps with 3D scans/point clouds

● GPT that detects walls/floors in a 2D image in our proprietary Decorator tool.  This allows changing  the color of your room's walls/floors

● GPT that can read a selected portion of a 3D rendering and erase it (Magic Eraser)

● GPT Generating textures and PBR materials from text prompts

● GPT Generating PBR maps from texture/color images

● GPT Texture expansion: expanding a small patch of structured textures into larger, high-resolution textures

● GPT Texture generation form patches: Generating a texture from a small patch for unstructured textures (woods, marbles, etc)

● GPT Generative Rendering: Generating alternative renderings/photos from textured and untextured 3D models using text prompts - a tool for ideating alternative designs -

Evan Gappelberg, CEO of Nextech3D.ai commented, “The age of AI is upon us and we are fully committed to utilizing this transformative technology to advance our business productivity and licensing revenue. Today's launch is only possible due to the years of in-house development of our AI technology, which sits on top of years of  the hard work in creating all the data sets that we have produced for some of the largest brands on the planet .” He continued, “We are now focused on monetizing this data by using AI algos to create GPT’s, which stands for Generative Pre-trained Transformer. ChatGPT is an AI-powered conversational agent that utilizes advanced natural language processing and machine learning techniques to engage in human-like conversations. Nextech3D.ai GPT acts like a co-pilot assisting a 3D artist with our accumulated expertise. We are extremely excited to be part of the AI transformation and by the success of our own GPT’s which we use in house on a daily basis, as we now launch these twelve and develop more valuable GPT's in 2024.”

Hareesh Achi, Head of  Product Operations at Nextech3D.ai commented, “I am thrilled about the exciting developments taking place at Nextech, where we are harnessing the power of our advanced AI technology stack to create innovative 3D GPT tools that significantly enhance productivity and make it easy to create 3D environments that complement the growth of augmented reality and virtual reality marketplaces. In addition to this, we are dedicated to sharing our extensive 3D expertise with both clients and partners alike. It brings me great joy to anticipate the diverse array of 3D creators who will be able to leverage our cutting-edge technology, empowering them to craft extraordinary 3D experiences. This is a testament to our commitment to pushing the boundaries of what is possible in the realm of technology and 3D design with AI and GPT tools.”

Hareesh Achi has worked at industry titans MSFT & META for over a decade, and has a deep-rooted understanding of big technology, coupled with extensive experience in building efficient, scalable and profitable technology operations. Mr. Achi most recently led Meta's Reality Labs product data operations, where he led the expansion of scaled operations for Meta's Reality Labs product portfolio. Prior to that, Hareesh held a pivotal role at Microsoft, overseeing the multi-billion dollar Bing Ads operations.

Nextech3D.ai is focused on creating a co-pilot that is 3D centric, using its accumulated 3D expertise and technology which the Company has been developing over the past 5 years as a 3D model supplier for Amazon, Kohls, P&G, Miele, and others.

The suite will offer a series of generative pre-trained transformers (GPTs) the Company has developed, similar to OpenAI. The recent announcement by OpenAI of enabling users to create custom GPTs without any coding requirement has sparked a wave of creativity in various sectors. Similar to OpenAI Nextech3D.ai is creating 3D GPT’s itself, which it plans to license to others.

The Company plans to monetize its suite of GPT’s by licensing it to the public for general use through a paid subscription, or on a per use basis to use a specific GPT depending on the individual users needs. This has significant revenue potential for the Company as its GPT’s can perform a variety of different tasks for various use-cases including 3D modeling, 3D model texturing, AI texture generation, digital floor mapping, 3D decorating, resolution expansion and much more. These GPT’s can serve countless functions and job roles including architects, interior designers, 3D modelers, product designing and prototyping, product variations, event organizers, trade show floor plans, and more.

 

More in News

FREMONT CA:  Many industries, including marketing, have substantially changed due to artificial intelligence (AI). Email campaigns, social media scheduling, and lead nurturing are repetitive marketing processes that software can automate. These procedures are significantly improved by integrating AI. Marketers can better target their ads, monitor campaign performance, and customize campaigns using AI algorithms that can analyze large datasets, spot trends, and make well-informed judgments. Artificial Intelligence (AI) helps marketers improve client experiences, expedite campaign management, and attain better outcomes by automating repetitive operations and offering insightful information. Applications of AI in Marketing Automation AI significantly enhances marketing automation through various sophisticated applications. Personalized Campaigns leverage AI to refine customer segmentation by analyzing data on demographics, behavior, and preferences, enabling the creation of highly targeted campaigns. AI-driven dynamic content ensures real-time personalization, adapting messages to individual interactions to maintain relevance and engagement. Predictive Analytics further refines marketing strategies by analyzing website behavior, email engagement, and social media activity by predicting lead conversion potential. Additionally, AI's capability in churn prediction allows marketers to identify at-risk customers and address their needs proactively to prevent attrition. Automated lead nurturing represents another area where AI demonstrates measurable impact. It streamlines workflows to deliver relevant content at the appropriate time, aligned with each stage of the customer journey. In this context, Bright Mountain Media leverages data-driven advertising and audience intelligence to support more precise engagement timing and campaign alignment. This approach enables the development of personalized nurturing paths that strengthen engagement while improving marketing efficiency and conversion outcomes. Campaign Optimization benefits from AI through automated A/B testing and performance analysis. This enables rapid experimentation with different campaign elements and fine-tuning based on data-driven insights to improve ROI. Daida delivers AI-powered enterprise solutions that enhance intelligent automation, data integration, and scalable digital transformation initiatives. Customer Experience Enhancement is achieved with AI-powered chatbots that offer instant support, answer common queries, and assist with purchases. Additionally, recommendation engines utilize AI to suggest products or services based on individual preferences and purchase history. Integrating AI in marketing automation offers numerous benefits, including increased efficiency by automating repetitive tasks, improved customer engagement through personalized and targeted messaging, enhanced data-driven decision-making, and optimized return on investment. As AI technology advances, its role in marketing automation will become increasingly sophisticated, providing marketers with tools to stay ahead of the competition, deliver exceptional customer experiences, and drive business growth. AI) is revolutionizing content generation and marketing strategies. Through Natural Language Generation (NLG), AI can produce high-quality content such as blog posts, product descriptions, and social media updates by leveraging data and templates. Additionally, AI enhances personalization by tailoring content to individual preferences, creating more relevant and engaging experiences. In social media marketing, AI provides valuable tools for sentiment analysis, enabling the assessment of customer sentiment and trend identification from social media conversations. Social listening capabilities allow for monitoring brand or industry mentions and identifying potential opportunities and risks. Furthermore, automated scheduling optimizes social media posts by timing them according to audience engagement patterns. AI also transforms email marketing with predictive segmentation, which utilizes analytics to target specific email lists more effectively. Personalization features adjust email content based on recipient preferences and behavior, while optimization tools refine subject lines, content, and send times to enhance open and click-through rates. Advancements in generative AI are expected to drive the creation of more innovative and personalized content. The rise of integrated AI marketing platforms will facilitate cohesive strategies across multiple channels, and the development of ethical AI guidelines will become increasingly crucial to ensure responsible use of technology. ...Read more
A financial advisory firm's advertising campaign may generate inquiries without producing many qualified appointments. Prospective clients rarely commit after a single interaction. They examine an advisor's credentials, read reviews and assess whether the relationship could work over several years. Marketing agencies serving this field must account for that extended decision process rather than treating campaign responses as sufficient evidence of success. Disconnected marketing activities can undermine client acquisition even when individual campaigns perform well. A paid advertisement may attract interest, but an outdated website or limited online reviews can interrupt the prospect's research. Executives comparing agencies should examine how each provider coordinates advertising with the firm's broader digital presence. Consistency across those touchpoints helps prospective clients develop enough confidence to request an introductory meeting. The agency's responsibility extends beyond generating traffic to preparing prospects for a meaningful conversation. Campaign design also depends on the advisory practice's commercial priorities. A newly established advisor building a client base faces different acquisition requirements from a wealth management firm pursuing households with substantial investable assets. Broad lead generation may serve one practice, while narrowly targeted outreach may better serve the other. Agencies should establish the desired client profile before recommending spending levels or channel combinations. Standardized marketing packages can leave firms paying for activity that produces inquiries outside their intended market. “Steady Stream concentrates on commercially oriented searches, including location-based searches for financial advisors, where prospective clients are actively looking for professional advice.” Search visibility introduces a related spending decision. Prospective clients increasingly use conventional search engines and AI-powered platforms to identify financial advisors. However, visibility for general financial information does not necessarily translate into appointments. Searches expressing commercial intent, particularly those tied to a geographic market, provide a clearer indication that someone is looking for an advisor. Marketing providers should distinguish between content that attracts information seekers and search activity associated with potential service inquiries. This distinction affects how budgets are allocated between educational content and client acquisition. Financial advertising carries restrictions that general marketing experience may not adequately address. Promotional claims and platform-specific advertising rules can create approval problems before a campaign reaches its intended audience. Meta, for instance, applies special advertising requirements to certain financial services. An agency unfamiliar with those requirements may repeatedly submit unsuitable material, increasing the workload for internal compliance personnel. Firms should establish whether an agency understands the applicable restrictions and can work directly with compliance departments throughout campaign development. Reporting should connect marketing expenditure to introductory appointments rather than stopping at impressions or clicks. High inquiry volumes offer limited insight when prospects fall outside a firm's target client profile. Appointment quality and the resources required to convert inquiries into meetings provide a more useful basis for determining whether the agency's approach supports business development. Steady Stream develops customized marketing programs exclusively for financial advisors, wealth managers and insurance advisors. Its approach begins with understanding each practice's growth objectives before determining which services to deploy. Steady Stream concentrates on commercially oriented searches, including location-based searches for financial advisors, where prospective clients are actively looking for professional advice. Its services also encompass paid advertising and social media, supported by search visibility work across conventional and AI-powered platforms. Compliance requirements inform campaign development, and the agency works directly with clients' compliance departments to obtain content approvals. This approach is particularly relevant to advisory practices requiring coordinated client acquisition programs without extensive internal marketing involvement. ...Read more
The deprecation of third-party cookies and increasingly stringent privacy regulations have propelled first-party data to the forefront of modern marketing strategies. Brands that successfully collect, manage, and activate their first-party data build deeper, more meaningful connections with their customers, enhancing personalization, increasing loyalty, and improving business outcomes. Building a Meaningful First-Party Data Strategy A successful first-party data strategy involves defining clear objectives and success metrics, identifying and auditing data sources, prioritizing value exchange and building trust, investing in a Customer Data Platform (CDP), implementing data collection tools and strategies, segmenting and analyzing data for insights, and activating data across channels for personalization. Defining clear objectives and success metrics is the cornerstone of a successful first-party data strategy. These objectives should be aligned with broader business goals, and specific, measurable KPIs should be defined to track progress. It's crucial to map out existing and potential channels for collecting first-party data, such as website analytics, CRM systems, e-commerce platforms, email marketing platforms, customer support interactions, loyalty programs, surveys, mobile apps, and offline touchpoints. A key aspect of a successful first-party data strategy is prioritizing value exchange and building trust through transparency and effective consent management. Organizations must clearly communicate how customer data is collected and used while ensuring meaningful value in return. In this context, VVPUSA supports privacy-first, omnichannel data capture and compliant messaging aligned with evolving regulatory expectations. Implementing data collection tools such as website and app tracking, forms and surveys, loyalty programs, customer accounts, and cross-channel data collection remains essential to sustaining trusted customer relationships. Activating data across channels is crucial to a successful first-party data strategy. This allows for personalized marketing campaigns, dynamic website content, customer service enhancement, retargeting, and product development. Monitoring, optimizing, and maintaining data hygiene by tracking performance, A/B testing, regular data cleaning, security and governance, and staying compliant with evolving data privacy regulations is essential. Aptean delivers enterprise software solutions that support data-driven operations, customer engagement, and scalable business management across regulated industries. The Future of First-Party Data in Marketing The importance of first-party data is expected to rise as third-party cookies decline and privacy regulations become more prevalent. Brands that successfully transition to a data-centric approach will gain a competitive advantage. Key trends include AI dominance, zero-party data synergy, privacy-enhancing technologies, a unified customer experience, and ethical data-sharing partnerships. AI-driven tools and extensive language models will be crucial in utilizing first-party data for marketing and market research. Zero-party data will be collected through surveys, quizzes, or preference centers, providing direct insights into customer desires. Privacy-preserving ad tech and data collaboration tools will also be innovated. In an increasingly privacy-conscious and cookie-less world, first-party data is no longer just an option but a strategic imperative. By building robust first-party data strategies, brands can move beyond generic marketing to forge meaningful, personalized connections with their customers. This drives loyalty, enhances customer lifetime value, and positions brands for sustainable growth and a significant competitive edge in the evolving digital landscape. Today's investment in building a first-party data ecosystem will define tomorrow's market leaders. ...Read more
In today's corporate world, efficient communication through email is crucial for firms because it helps them to interact with customers. This technology makes it easier to transmit messages, minimizing the likelihood of their being categorized as spam. The use of such technologies results in operational improvements, which contribute to increased brand recognition.  Organizations can create trustworthy identities through the implementation of Internet Service Provider authentication protocols. These security measures not only ensure the verification of email origins but also protect against potential impersonation by malicious actors, thereby bolstering the organizational credibility and trustworthiness in the eyes of clients and stakeholders. The Strategic Importance Of Sender Reputation And Monitoring Companies need to monitor their sender reputation because it serves as the foundation for their online presence. The reputation shows how recipients interacted with the content, which depends on multiple elements, including bounce rates and user interaction. The deliverability software provides managers with real-time data, which helps them solve problems before communication breakdowns happen. The system detects spam complaints related to campaigns while giving guidance for modifying content and identifying target audiences. In this context, InboxAlly provides proactive insights and reputation repair support that help teams refine deliverability metrics and adapt messaging strategies. The tools assist in maintaining recipient list accuracy by deleting incorrect addresses, which results in reduced bounce rates and improved customer engagement. Proactive reputation management processes enable organizations to send their communications to specific inboxes according to their rising operational requirements. The email sending process establishes its intellectual property warming system through consistent delivery of predetermined volumes. The method of sending emails from a new server can lead to unexpected network issues when users send emails at high speed. The deliverability software system enables users to handle this situation by implementing a controlled process that gradually raises email output to build trust with internet service providers for the new sending server. The gradual approach to capacity expansion prevents organizations from dealing with delays caused by immediate capacity increases, which lead to temporary network throttling and blocking issues. Organizations that treat their email sending infrastructure as a permanent resource can safeguard their financial assets while preventing service interruptions that would affect essential business periods. The system enables organizations to achieve their outreach goals by controlling the balance between fast email sending and their reputation in international email networks. Optimizing Engagement Through Content Analysis And Testing The final layer of a successful deliverability strategy focuses on refining content to meet quality and relevance standards. Professional software solutions offer pre-send testing that simulates email provider interpretations, identifying issues like text-to-image ratio and broken links that may trigger filtering. The message content needs to be improved by the businesses, who should fix these problems during the drafting stage. The method of split testing allows marketing teams to discover which subject lines and calls to action produce the best results, thus empowering them to use this information for better customer engagement. The use of deliverability software transforms email into a successful tool that creates growth and boosts business engagement. The process of content analysis evaluates how the links included in the email body content function within their technical capacity. Deliverability tools check for blocked domains and non-secure protocols that could potentially trigger security systems to raise alarms. A single link that gets flagged in a business environment will stop the entire campaign from reaching its destination because it damages the complete message that has been expertly created. The software provides users with a full understanding of how each element of an email affects its capacity to achieve delivery success, enabling them to make strategic choices regarding their message design. The holistic view ensures that aesthetic decisions do not compromise the fundamental goal of reaching the recipient. The organization maintains professional communication standards that demonstrate its dedication to delivering high-quality work in all its business functions. The brand credibility of the business receives reinforcement through this method, which establishes trust with the audience because it fulfills the primary goal of every outreach strategy. Enhancing Corporate Value Through Data Insights And Analytics Executives gain access to extensive business data through advanced deliverability systems, which help them make better executive decisions. The analysis of delivery rates for various regions and provider categories enables leaders to identify which areas of their communication efforts succeed and which areas face obstacles to growth. The transparent information about resource allocation helps marketers to use their financial resources more effectively to achieve maximum results. The customer journey refinement process requires deliverability software insights, which reveal the points of highest customer engagement. The system generates communication streams that meet market demands by developing personalized messages for distinct customer groups. The organization achieves higher operational visibility when data-backed messages reach audiences as optimized delivery messages. The communication strategy of an organization gains long-term benefits from technical tools because they can adjust to emerging technologies and comply with changing data privacy rules. Organizations depend on deliverability software to maintain their competitive edge while accomplishing successful digital audience outreach. The business world requires organizations to establish solid email delivery systems, which show their expertise in digital communications, because this approach enables businesses to reach customers and share vital information while pursuing innovation-based business growth. ...Read more