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SORBA.ai Partners with Appomax as Channel Partner for Thailand Industrial AI

Partnership expands no-code industrial AI across Thailand with predictive maintenance, advanced process control, vision AI, and seamless Ignition integration

SORBA.ai, the leading no-code industrial AI platform for manufacturing, energy, and critical infrastructure, announced a new channel partner with Appomax (www.appomax.co), a Thailand-based industrial AI and advanced analytics solutions provider. Through this partnership, Appomax will serve as an authorized channel partner for SORBA.ai, delivering next-generation industrial AI solutions to organizations across the Thailand marketplace.

This partnership enables manufacturers, utilities, energy producers, and industrial operators in Thailand to rapidly deploy SORBA.ai’s no-code/low-code AI platform, without requiring data science expertise, supported by Appomax’s local presence, domain expertise, and regional delivery capabilities.

Expanded Offering for the Thailand Market

As part of the partnership, Appomax will offer the full SORBA.ai product portfolio, all seamlessly connected through SORBA.ai’s free Inductive Automation Ignition integration, enabling fast, secure access to real-time industrial data from the plant floor to the AI layer. The combined offering includes:

DataBridge – Securely connects and contextualizes data from PLCs, SCADA systems, historians, IoT platforms, and enterprise systems, creating a reliable foundation for industrial AI and analytics and forming your Unified Name Space (UNS).

Detect & Predict PdM Suite – Delivers real-time anomaly detection and predictive maintenance models to identify early warning signs of equipment degradation, reduce unplanned downtime, and improve asset reliability.

Simulate & Control APC Suite – Extends AI into advanced process control with digital twins, forecasting, optimization, and closed-loop recommendations to improve throughput, quality, energy efficiency, and operational stability.

Read More: SalesTechStar Interview with Sahil Rekhi, Chief Revenue Officer at Graia

VisionAI Module – Applies computer vision and AI to industrial images and video streams for automated inspection, defect detection, safety monitoring, and operational verification.

“Southeast Asia, and Thailand in particular, is a fast-growing market for industrial digital transformation,” said Yandy Perez, President & CEO of SORBA.ai. “Partnering with Appomax allows us to scale our platform through a trusted local expert who understands the operational and data requirements of industrial facilities in the region. With Appomax being a certified Inductive Automation partner, customers can move from data to AI-driven outcomes faster than ever combined with our free Inductive Automation integration.”

Read More: Beyond CRM: How SalesTech is Shaping the Future of Deal Management?

“Industrial companies in Thailand are seeking practical, secure AI solutions that deliver measurable operational impact,” said Vikan Chirawatpongsa, Chief Executive Officer of Appomax. “By partnering with SORBA.ai, we can provide a complete end-to-end Industrial AI stack that empowers engineers, operators, and process experts to deploy AI in minutes instead of months. With Appomax’s deep expertise in OT, MES, Unified Namespace, and industrial data architecture—combined with SORBA.ai’s no-code platform—we can help organizations accelerate their digital transformation and achieve real, sustainable results.”

Together, SORBA.ai and Appomax are committed to accelerating industrial AI adoption across Thailand, helping customers improve reliability, efficiency, safety, and sustainability using their existing infrastructure and operational expertise.

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How to Work with Your Newest Sales Competitor to Succeed

To date, B2B sales has maintained a constant rhythm: buyers discovered products via marketing play, engaged directly with sales reps for education and guidance, and then relied on demos to validate and solidify their decisions. This sequence is now broken.

AI has quietly taken the reins to become the first and most influential touchpoint in the B2B buying journey. Today, 45% of buyers turn to AI tools to help vet vendors, compare competing features, and even provide recommendations based on price and aligned goals, all before a human sales rep enters the picture. For many organizations, this shift has accelerated faster than leadership predicted, and faster than GTM teams trained and prepared for.

With 48% of B2B buyers saying they now use AI to circumvent sales reps entirely, this is no longer a tool change, but an entire power shift of the buying process as we know it. As we approach this turning point of the buying journey, understanding where AI can help, where it is hurting, and the best steps to prioritize moving forward will set apart the next generation of sales.

Marketers in Power

As buyers continue to rely on AI for early research, the content pulled and referenced (product pages, blog posts, reviews), is largely owned by marketers, not sales reps. Generative AI systems are trained on information already available online; they do not invent product narratives themselves. This means, the positioning and accuracy buyers come across on these models are predetermined by how well marketing teams structure said content. In doing so, marketing teams are gaining more influence and ownership over how buyers perceive value of software, often long before a sales conversation ensues.

Executives are noticing, with nearly half reporting that AI is forcing marketers to own more of the buyer relationship, with budget expanding alongside sales. Across companies, structural changes are being implemented to shift revenue ownership up the chain and redefining leadership roles. In practice, buyers are joining sales calls already equipped with recommendations and comparisons of software from AI. Leadership analyzes the increase or decrease of deals stemming from Generative Engine Optimization (GEO) and adjusts budgets and employee roles accordingly. In doing so, role and success is determined by who controls buyer perception earliest.

For sales teams, this may sound the alarm and feel like a threat. More than one-third of executives say AI is making sales teams less valuable, and many report declining entry-level sales hiring. However, sales teams aren’t becoming obsolete, rather evolving into this new era of more education driven quotas to meet.

New Buying Process Pain Point: Misinformation

AI may be helping buyers to work at speed, but this doesn’t equate to better informed buyers. In fact, almost half (46%) of executives say prospective customers receive misleading information from the AI tools they utilize. Product offerings are misunderstood and stand out traits are minimized into a generic summary, leaving buyers with a false sense of confidence despite being factually incorrect.

Redirecting and reeducating potential buyers now falls on the sales rep, taking away time to correct AI-driven inaccuracies instead of advancing a deal. Pressure increases from leadership down, to “un-teach” prospects quickly and effectively to be able to continue making meaningful buying progress. Creating friction from both sides of the table, buyers feel challenged, reps feel undetermined, and trust begins to erode at the moment it matters most.

The Moment of Truth: Demos

Despite the growing pains and challenges of this new era of sales and marketing, problem solving, validation and providing essential context reigns supreme for human reps. AI cannot explain to buyers how features will or will not perform within their specific environment, guidelines or goals – but experienced reps can.

In an AI-driven buying journey, what a product does is easy to find. How it actually works in practice is where humans will win. With 40% saying AI does a worse job explaining product value than a human, this is an opportunity for sales industry experts to dig deep into their years of product knowledge, industry fluency, and the ability to adapt in real time – skills that AI can support, but not replace.

As discovery moves earlier and faster, demos hold more weight than ever before. The demo is quickly becoming the first instance where buyers see the reality of the tools, not the trained hypotheticals AI told them. Static, one size fits all demo tools will not survive this new era. They don’t provide tangible, hands on experience to solidify and help buyers make a trusted and informed decision.

Rethinking demos as an interactive experience tailored to each unique buyer’s case will be key. This way, demos will help to bridge AI perception and the real-world value needed of a successful platform. Trust may be weakened in the re-education phase of the buying process, but via a personalized, encompassing demo experience, credibility is restored by showing not telling how the shoe fits for each buyer.

Humans Reign Supreme

AI doesn’t sign contracts, people do. The last mile of buying decisions will continue to rely on the trust and guidance of humans, with authentic expertise increasing in value as the market becomes more saturated with AI first tools.

The future of B2B sales is not about fighting against AI, but rather working alongside it knowing that this is the new era of discovery, and finding those moments where humans shine through as differentiators.

Read More: The Psychology Of Sales Enablement: How Tools Are Designed To Empower And Motivate Sales Reps?

MediaTek and DENSO Collaborate on Automotive SoCs for Advanced Driver-Assistance Systems

MediaTek

MediaTek, a global leader in innovative semiconductor solutions, announced that it is working closely with DENSO, one of the world’s leading automotive technology providers, to develop a custom automotive System-on-Chip (SoC) solution tailored for Advanced Driver-Assistance Systems (ADAS) and cockpit systems. This joint effort merges DENSO’s automotive-grade safety expertise and deep vehicle integration with MediaTek’s technologies cultivated through the development of Dimensity AX, leveraging power-efficient, high performance SoCs and AI capabilities to offer a scalable, production-ready platform for next-generation driver assistance.

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The collaboration leverages three key pillars to deliver breakthrough ADAS capabilities:

  • Automotive-Grade Safety, Reliability & Compliance Leadership
    Drawing from DENSO’s proven safety and system engineering prowess, the custom SoC targets ISO 26262 compliance, enabling ASIL-B/D levels of functional safety. Supported by AEC-Q100 qualification and automotive-standard system integration, the platform ensures robust reliability for automotive OEMs and Tier-1 suppliers worldwide.
  • Industry-Leading AI Compute, Perception Architecture, and IP Portfolio
    MediaTek brings best-in-class heterogeneous compute capabilities, featuring dedicated AI/NPU accelerators and advanced ISP for superior performance in ADAS applications. The platform supports multi-sensor fusion—including camera, radar, and lidar—using advanced vision pipelines, all optimized in tandem with DENSO’s domain expertise.
  • Faster Design Quality and Time-To-Market
    The joint solution delivers higher system design quality and accelerated time to market (TTM) thanks to a comprehensive portfolio of pre-validated, automotive-grade IP, safety work products, reference designs, and toolchains aligned to ISO 26262 and AUTOSAR standards.

“Through this collaboration, we are bringing two industry leaders together to support the most demanding requirements of global automotive manufacturers and system integrators, exceeding benchmarks in safety, power efficiency, and AI-enabled perception to advance the future of assisted driving,” said Dr. Mike Chang, Corporate Vice President and General Manager of Automotive Business at MediaTek. “We are rapidly growing our portfolio of leading-edge technologies to redefine the automotive experience for customers across the globe.”

Read More: Beyond CRM: How SalesTech is Shaping the Future of Deal Management?

Technical highlights of the new platform include:

  • Full functional safety (ISO 26262 ASIL-B/D), safety island, and lockstep compute
  • AEC-Q100 qualification, AUTOSAR, and automotive networking (TSN, CAN FD, LIN)
  • Heterogeneous compute with dedicated AI/NPU accelerators and advanced ISP
  • Multi-camera MIPI CSI-2, sensor fusion for camera/radar/lidar, ISP, ECC, OTA support

MediaTek, through its partnership with DENSO, aims to shape the future of intelligent mobility and enable rapid deployment of advanced driver-assistance systems across global markets.

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Calsoft deploys multi-agent AI for supply-chain eCommerce support

Calsoft - Crunchbase Company Profile & Funding

Multi-agent AI assistant deployed for supply-chain-linked eCommerce support, integrating live order management with SOP intelligence.

Calsoft, an engineering services company specializing in digital and AI-driven systems, has deployed a multi-agent AI assistant for a leading medical supply chain organization to support supply chain-linked e-commerce customer operations. The system enables sales and customer service teams to access live order status, tracking details, product information, and standard operating procedures (SOPs through a single conversational interface, addressing the growing complexity of post-order support in regulated supply chain environments.

𝐐𝐮𝐢𝐜𝐤 𝐯𝐢𝐞𝐰

– Multi-agent AI assistant deployed for supply-chain-linked eCommerce support, integrating live order management with SOP intelligence.
– Supports sales and customer service teams handling regulated medical supply chain transactions, reducing lookup time and response friction.
– Implemented using agent orchestration with live order system integration, vector-based document retrieval, and region-aware context handling on Microsoft Azure.

The deployment brings together two traditionally separate support workflows, transactional order management and procedural product guidance, into a unified AI-driven system. Designed as an assistive layer for internal teams, the solution allows customer-facing representatives to retrieve accurate, context-aware responses without navigating multiple systems or static documentation, while ensuring alignment with approved procedures and regional policies.

The AI assistant is built using a multi-agent orchestration architecture in which each user query is analyzed and routed to specialized agents based on intent. An order management agent retrieves live order status, shipment tracking, and product details directly from operational systems. A dedicated SOP knowledge agent enables structured retrieval across product documentation and operating procedures stored in multiple formats, including PDFs, spreadsheets, and written manuals. A personalization agent applies region-specific rules and policies, while a context management agent maintains conversation history to support follow-up queries without information loss.

Support operations in medical supply chains are inherently complex because they combine live transactional systems with strict procedural requirements.”

— Debajit Sen, Principal Architect at Calsoft

This approach addresses a common challenge in supply-chain-linked eCommerce environments, particularly in medical and dental distribution, where customer support interactions often require simultaneous access to transactional data and precise product usage guidance. Traditional support models rely heavily on manual lookups across disconnected systems, increasing response times and the risk of inconsistency. By centralizing these capabilities, the AI assistant supports faster resolution while maintaining procedural accuracy.

“Support operations in medical supply chains are inherently complex because they combine live transactional systems with strict procedural requirements,” said Debajit Sen, Principal Architect at Calsoft. “The goal of this system was not to replace sales or service teams, but to give them a single, reliable interface that brings together order data, product guidance, and regional policies in context. The multi-agent design allows each function to operate independently while delivering a unified response to the user.”

Sen added that the architecture was designed with extensibility in mind. “By separating order management, SOP intelligence, personalization, and context handling into distinct agents, the system can be adapted to other supply chain-driven eCommerce environments without redesigning the core platform.”

The solution was initially implemented for a medical supply chain organization operating in the dental healthcare segment, where accurate product handling and adherence to documented procedures are essential. However, the underlying architecture is applicable across broader regulated eCommerce ecosystems, including distributors and manufacturers managing complex order lifecycles and post-sale support requirements.

Read More: The Psychology Of Sales Enablement: How Tools Are Designed To Empower And Motivate Sales Reps?

As supply chains continue to digitize customer engagement and support functions, organizations are increasingly looking for systems that can bridge the gap between commerce platforms and operational knowledge. Calsoft’s deployment demonstrates how agent-based AI systems can be applied pragmatically to support real-world enterprise workflows, without disrupting existing systems or introducing unnecessary automation risk.

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CannaSpyglass Appoints Tyler Works as Chief Growth Officer, Rounding Out Leadership Team

CannaSpyglass

CannaSpyglass announced the appointment of Tyler Works as Chief Growth Officer, a new role that reflects the company’s vision for accessible, high-quality data.

CannaSpyglass, the cannabis industry’s most trusted data and intelligence platform, announced the appointment of Tyler Works as Chief Growth Officer, a newly created executive role that reflects the company’s continued expansion and long-term vision for accessible, high-quality cannabis data.

In this role, Works will lead CannaSpyglass’ growth strategy across sales, partnerships, and client relationships, working closely with product, customer success, and leadership teams to ensure the platform continues to deliver meaningful value to cannabis operators and service providers nationwide.

The appointment marks a significant milestone for CannaSpyglass as it scales its offerings and deepens its commitment to transparency, responsiveness, and fair pricing in an industry where reliable data is often inaccessible or inconsistently supported.

“Tyler is the final piece of a leadership puzzle we’ve been intentionally building for more than a year,” said Adam Hutchinson, Co-Founder of CannaSpyglass. “We were patient because culture, integrity, and trust matter to us just as much as experience. Tyler embodies those values. He understands where cannabis data has been, where it’s falling short, and where it needs to go. Good things come to those who wait, and this was absolutely worth the wait.”

Works brings deep industry experience and a strong personal reputation for honesty, relationship-driven growth, and customer advocacy. His appointment reinforces CannaSpyglass’ belief that people—not just platforms or datasets—are what ultimately drive meaningful progress in cannabis.

“CannaSpyglass is doing meaningful work by delivering reliable data and making high-quality information accessible at a fair price,” said Tyler Works, Chief Growth Officer of CannaSpyglass. “There’s a misconception in the market that lower cost means lower quality, but that simply isn’t true here. There’s no justification for the pricing structures we’ve all come to accept. Cannabis professionals shouldn’t have to choose between working in this industry and affording the tools they need to succeed. I’m excited to help companies go to market more effectively and to build on the trust CannaSpyglass has already earned.”

CannaSpyglass has built strong loyalty from customers who have transitioned from legacy data providers, frequently citing the company’s responsiveness, transparency, and hands-on support as differentiators in a crowded market. As the platform continues to evolve, including expanded AI-driven insights and product innovation, Works’ leadership will play a central role in shaping how CannaSpyglass grows without compromising its values.

“Our customers stay with us because they know we’re accessible, responsive, and straight with them,” said Warren Bunch, Co-Founder of CannaSpyglass. “Tyler brings that same people-first mindset, and it reinforces the standard we set across our entire organization.”

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With this appointment, CannaSpyglass strengthens its executive team alongside leaders in product, customer success, and operations, positioning the company for sustainable growth across cannabis and adjacent industries where accurate, accessible data is essential.

Tyler Works joins CannaSpyglass as Chief Growth Officer effective immediately. To learn more about the company and its growth strategy, visit https://cannaspyglass.com/

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Is Your Commission Plan Driving the Right Behaviors, Right Now?

Remember that huge deal your top rep closed in the first week of January? They were thrilled. However, they now have to wait until the end of March or even April to see that commission in their paycheck. The traditional quarterly commission model creates a massive delay between effort and reward.

This disconnect can kill momentum and make it challenging to motivate your team in the moment. It’s time to close that gap. The future of sales compensation is instant, engaging, and directly tied to daily performance through real-time sales incentives.

What is This New Wave of Incentive Technology?

Modern incentive technology is far more than just a faster way to run payroll. It represents a fundamental shift in how you manage and deploy sales compensation. These are sophisticated platforms that integrate directly with your CRM.

As your reps update deals and log activities, the system automatically calculates their commissions and bonuses in the background. The results are then displayed on a live, personalized dashboard for each rep. This transforms compensation from a mysterious number that appears on a future pay stub into a visible, interactive scoreboard that tracks performance every single day.

How Do Instant Rewards Actually Boost Motivation?

Connecting a rep’s daily actions directly to their earnings has a powerful psychological effect that fuels higher performance and engagement.

  • Clear Visibility:

Reps can see exactly how much they have earned the moment they close a deal, reinforcing winning behaviors.

  • A Sense of Progress:

Watching their earnings grow daily provides a constant feeling of achievement, keeping them focused and driven.

  • Healthy Competition:

Live leaderboards can spark friendly competition among team members, encouraging everyone to step up their game.

  • Increased Trust:

Transparent, automated calculations eliminate commission disputes and build trust between reps and management.

  • Gamified Experience:

The process feels more like a game, making the daily grind of sales more exciting and rewarding.

How Can You Use Dynamic “Spiffs” for Short-Term Goals?

These platforms allow you to launch targeted, temporary bonuses to drive very specific actions when you need them most.

  • Product Push:

Launch a weekend “spiff” that offers an extra cash bonus for every unit sold of a new product.

  • Pipeline Generation:

Create a one-week contest that rewards the rep who books the most qualified meetings with new prospects.

  • Clearing Inventory:

Offer a limited-time incentive to the first ten reps who sell a specific, overstocked product line.

  • Driving Adoption:

Reward team members for using a new sales tool or for completing data entry tasks in the CRM.

This approach transforms your commission plan into a flexible tool, enabling you to utilize real-time sales incentives to address immediate business needs.

How Does This Improve Your Sales Team’s Agility?

Market conditions change in an instant. Your sales strategy needs to be able to change just as quickly. With traditional compensation plans, you are locked in for an entire quarter. Shifting your team’s focus is slow and difficult. Real-time sales incentives empower sales leaders to pivot quickly.

Need to boost sales in a specific region? Launch a targeted spiff. Want to encourage more cross-selling? Create a bonus for multi-product deals. This turns your compensation plan from a static document into a dynamic steering wheel for your entire sales organization.

How Do These Platforms Connect with Your Existing Systems?

New technology should make your life easier, not add complications. These are all set up to easily and simply be integrated with the above platforms.

  • They pull deal data direct from your CRM, such as Salesforce or HubSpot, through secure API connections.
  • There’s automated calculation according to rules you provide, so there are no complex spreadsheets.
  • The platforms often include dashboards that can be embedded directly within your CRM for easy access.
  • They can integrate with your payroll software to ensure accurate and timely payouts of all commissions and bonuses.

Making Compensation a Dynamic, Strategic Lever

Your commission plan should be more than just a way to pay your people. It should be one of the most powerful strategic tools you have to drive behavior and achieve business goals. The old way of waiting weeks or months to incentivize performance is inefficient and ineffective.

You are rewarding in real time, creating transparency, motivation and agility so that every rep knows how they are tracking. You transform compensation into a dynamic lever you can pull every single day. Using real-time sales incentives is the key to building a modern, high-performance sales culture.

Read More: The Psychology Of Sales Enablement: How Tools Are Designed To Empower And Motivate Sales Reps?

 

ClickUp Acquires Cursor Competitor Codegen to Supercharge AI Super Agents

ClickUp

The world’s first AI teammates that collaborate like co-workers to maximize human productivity

ClickUp, the platform that converges all software, humans, and agents, announced the acquisition of Codegen, a leading platform for AI-powered code generation and agentic AI. This move brings Codegen’s pioneering technology and team into ClickUp to accelerate ClickUp’s latest AI development: Super Agents that build, think, and collaborate like human coworkers.

“The future isn’t about humans adapting to AI, it’s about AI adapting to humans.”

Super Agents represent a new era for work AI. Strengthened by Codegen’s proprietary agentic AI technology, Super Agents can autonomously complete projects, generate software, and take action with 500+ work skills. They feature human-level memory, learn from every interaction, and operate natively within ClickUp’s unified workspace. This eliminates context fragmentation and enables true end-to-end workflow automation. For the first time, any user can create and deploy AI teammates that proactively manage projects, communicate, and even build new tools, all with enterprise-grade security and permissions.

“The future isn’t about humans adapting to AI, it’s about AI adapting to humans. By bringing Codegen’s world-class team and technology together with ClickUp Super Agents, we’re realizing the promise of truly intelligent digital coworkers,” Zeb Evans, ClickUp Founder + CEO said. “Super Agents don’t just automate. They understand, remember, and act with context, unlocking a new era of productivity where anyone can build and scale work systems without writing a single line of code.”

Read More: The Psychology Of Sales Enablement: How Tools Are Designed To Empower And Motivate Sales Reps?

In addition to breakthrough technology, the acquisition also represents a major win for ClickUp in the AI talent war. Jay Hack, Codegen founder and CEO, is a respected voice in the AI space and has been on the front-lines of AI development for many years. As part of the acquisition, he will take over as Head of AI at ClickUp.

“The bottleneck to agents transforming how work is done is no longer AI capabilities, it’s context. ClickUp is the only platform that houses all of a company’s plans, docs, and goals in one place,” added Hack. “By combining Codegen’s agentic technology with ClickUp’s unified workspace, we’re not just building a smarter coding tool; we’re building a Super Agent workforce that scales infinitely across software engineering, product management, sales, enterprise workflows, and beyond.”

With this acquisition, ClickUp cements its position as the world’s first Converged AI Workspace, empowering every knowledge worker to become a software creator and every team to maximize human productivity.

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Marissa Mayer’s New Startup Dazzle AI Raises $8 Million Seed Round

Kirsten Green of Forerunner Ventures leads with participation from Kleiner Perkins, Greycroft, Offline Ventures, Slow Ventures, and Bling Capital

Dazzle AI, a new company founded by entrepreneur, executive, and technologist Marissa Mayer, announced it has raised $8 million in seed funding at a $35 million post-money valuation. The round was led by Kirsten Green of Forerunner with participation from Kleiner Perkins, Greycroft, Offline Ventures, Slow Ventures, and Bling Capital.

Leveraging her experience at Google, Yahoo, and in user-centered technology, Marissa is dedicated to Dazzle AI’s mission of making technology more intuitive and genuinely useful in everyday life. The company aims to close the gap between what people want to do and what they can do with AI, developing tools that make technology simpler, smarter, and more approachable.

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“Throughout my career, I’ve loved making complex technology more intuitive,” said Marissa Mayer, Founder and CEO of Dazzle AI. “With Dazzle, our goal is to make AI feel simple, helping people get more done and delighting them along the way. Now that foundational models have reached a level of consistent excellence, they’ve become a reliable infrastructure. The new frontier is applications—leveraging that power to create real, tangible value. I’m thrilled to be building something new alongside an incredible group of investors and partners.”

“The builders of tomorrow’s winning platforms are not thinking in terms of incremental improvements or previous playbooks – they are thinking in entirely new ecosystems, with the courage to imagine paradigms that do not yet exist. As a leader, Marissa embodies the ambition and bravery that’s essential to taking this kind of big swing,” said Kirsten Green, Founding Partner at Forerunner. “We have barely scratched the surface of having AI integrated into daily routines in a way that feels human, enriching, and transformatively useful.”

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QJumpers announces strategic partnership with APAC AI to elevate talent sourcing across the Asia Pacific

QJumpers

Elevating talent sourcing across the Asia Pacific

QJumpers announced a new strategic partnership with Australian based APAC AI, bringing the company’s award-winning third generation AI Talent Sourcing Engine into APAC AI’s expanding portfolio of advanced workforce solutions. This collaboration marks a significant step forward for organisations across the Asia Pacific seeking faster and more precise access to high quality talent through innovative AI technologies.
QJumpers’ sourcing technology identifies candidates from a global pool of more than 900 million profiles. It goes beyond traditional CV data, using AI inferred skills to also surface the approximately 80 per cent of talent who are not actively applying but remain open to suitable opportunities. With data refreshed at a rate of 100 million profiles each month, employers benefit from continually updated and highly accurate profiles.

We are absolutely thrilled to partner with QJumpers,” said Ian Wood, Co-founder of APAC AI. “This collaboration is a game changer for our clients.”

— Ian Wood, Co-founder APAC AI

“QJumpers is very excited to be working with the expert team at APAC AI”, said Simon Oldham, CEO and Co-Founder of QJumpers. “Their expertise in AI talent solutions and breadth of experience in the sector is unique to this market. We have been looking for the ideal distribution partner within Australia and Asia for our AI Talent Sourcing platform and Applicant tracking system, and now we have it. We are really looking forward to working together to bring innovative AI talent solutions into this market.”

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“We are absolutely thrilled to partner with QJumpers,” said Ian Wood, Co-founder of APAC AI. “This collaboration is a game changer for our clients, immediately integrating QJumpers’ advanced Talent Search AI capabilities directly into our offerings. It dramatically enhances how effectively companies can identify and connect with the right talent.”

Read More: Beyond CRM: How SalesTech is Shaping the Future of Deal Management?

The combination of QJumpers AI technologies and the APAC AI solutions delivers a streamlined experience that reduces the need to move between multiple platforms. It provides employers with a direct, high quality talent pipeline supported by an integrated outreach tool achieving a proven 33 per cent email open rate.
Through this partnership, APAC AI and QJumpers will empower mid to large enterprises to compete more effectively in an increasingly competitive labour market. Together, the companies aim to set a new standard for intelligent, scalable, and efficient talent acquisition throughout the region.

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TransUnion Appoints Sayan Chakraborty and Charlotte Yarkoni to its Board of Directors

TransUnion has appointed Sayan Chakraborty and Charlotte Yarkoni to its Board of Directors, effective January 5, 2026.

“Sayan and Charlotte have proven track records in fostering product and technology innovation, and generating customer engagement with transformational technology, which will be instrumental as TransUnion continues to evolve our global suite of platforms and products,” said Pamela Joseph, Chairperson of the Board. “We’re proud to welcome these two visionary leaders to TransUnion’s Board.”

Chakraborty, 58, most recently served as President of Workday, responsible for Product and Technology from 2024 – 2025 and Co-President, starting in 2023, where he led the transformation of the company’s platform, technology and data products. He previously held multiple senior technical roles at Workday since 2015, including Executive Vice President, Product and Technology and Executive Vice President, Technology.

Read More: SalesTechStar Interview with Eric Willcox, CRO at Precisely

Prior to joining Workday, Chakraborty was Co-Founder and Chief Operating Officer of GridCraft, an AI/ML analytics company that was acquired by Workday in 2015. He has also held executive roles at Oracle, Cygnus Solutions (which was acquired by Red Hat) and multiple venture-backed startups. Chakraborty earned his master’s degree and bachelor’s degree in aeronautics and astronautics from MIT.

Yarkoni, 56, most recently served as President, Commerce, Ecosystems, Cloud and AI at Microsoft from 2022 to 2025, where she led a global organization responsible for the company’s end-to-end digital commerce infrastructure, developer relations and customer engagement platforms. She previously held several leadership roles at Microsoft beginning in 2016, including Vice President and Chief Operating Officer, Cloud and AI, and Corporate Vice President, Commerce and Ecosystems.

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Prior to joining Microsoft, Yarkoni held leadership positions at Telstra, VMware, EMC, Amdocs and BellSouth. Yarkoni currently serves on the Board of Directors of Fiserv, where she sits on both the Audit and Risk Committees. She earned her bachelor’s degree in management science from the Georgia Institute of Technology.

“Sayan and Charlotte are both accomplished leaders with expertise leveraging AI to drive innovation and growth,” said Chris Cartwright, President and CEO, TransUnion. “Sayan’s experience in scaling product development, and Charlotte’s capability in leading cloud adoption will help shape TransUnion’s future as a leader in AI-enabled solutions that redefine how information empowers businesses and consumers.”

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