SINGAPORE, Jan. 20, 2026 /PRNewswire/ — imToken, a leading decentralized wallet, today released its 2025 Annual Report, detailing a strategic pivot toward “Unified Ethereum” and establishing security guardrails for AI-driven Web3 interactions.

Access the full report here: https://support.token.im/hc/en-us/articles/54256511795993-imToken-2025-Annual-Report

In 2025, as Layer 2 adoption accelerated, the industry moved beyond pure scaling toward a vision of Unified Ethereum. Against this backdrop, imToken focused on rebuilding infrastructure to eliminate fragmentation and redefine the wallet’s role as a protector against the opacity of intelligent systems.

Infrastructure Reconstruction

To realize a unified ecosystem, imToken established four technical pillars:

Accounts, not keys
By decoupling accounts from keys, users can enjoy smooth, biometric-based interactions for daily use—while retaining full, decentralized control as a secure fallback. This approach reflects imToken’s long-held belief that usability should enhance, not replace, self-custody.

Send value to anyone
Traditional crypto transfers impose steep onboarding friction on recipients. imToken’s Send by Link removes these barriers by allowing users to send assets through a simple link. Recipients can claim tokens instantly without prior setup, making on-chain value transfer as intuitive as sending a message—an essential step toward broader adoption.

Interoperability without cognitive load
As Layer 2 ecosystems proliferated, imToken prioritized making cross-chain interactions feel unified. By aligning with Ethereum’s interoperability direction, imToken enables users to focus on intent—what they want to do—while the system handles the underlying complexity, helping liquidity move freely across networks.

Clear identity in a multi-chain world
Ambiguous address formats have long been a source of transfer error. imToken is exploring clearer, chain-aware identity representations to help users instantly recognize where assets are being sent. This shift improves readability, reduces mistakes, and brings greater confidence to everyday transfers.

Future Outlook:

Interoperability becomes invisible
imToken believes the next stage of Ethereum is not about adding more networks, but about removing user awareness of them. Liquidity and applications will feel unified, allowing users to act without needing to understand underlying chains. 

Unified & Verifiable UI
We are crafting a unified interface to simplify complex multi-chain navigation. However, the UI itself can be a potential attack vector. To advance decentralization, imToken champions Verifiable UI, empowering users to verify the interface’s authenticity. This ensures full control over assets and the interface, even if centralized services go offline.

Balancing AI and security
AI will likely become a primary way users express intent. While intelligent interfaces improve efficiency, they also introduce uncertainty. imToken’s long-term view is clear: intelligence must be bounded by security. The wallet should remain the final checkpoint—ensuring that every action is executed within clear, verifiable limits and that users retain ultimate control over their assets.

Conclusion

In 2025, imToken is undergoing a significant shift: evolving from a simple asset management tool into both a bridge across fragmented L2s and a security gatekeeper for the AI era.

As we move into an AI-driven future, imToken remains anchored to the principle of determinism — ensuring that in a world of algorithms and probabilities, users retain ultimate control over their wealth.

In 2026, AI investment is shifting from experimentation to deployment, with measurable ROI now a core requirement. Datatonic highlights the risk of productivity leakage and helps organizations build production-grade, governed AI systems that deliver scalable, defensible business impact.

LONDON, Jan. 20, 2026 /PRNewswire/ — The enterprise AI landscape is entering a decisive new phase as organizations demand tangible returns from their AI investments. After years of experimentation and pilots, organizations are moving beyond proof-of-concept (POCs), creating a new imperative for production-grade AI systems that deliver real business impact and measurable ROI. With budget scrutiny intensifying and boards setting clearer performance expectations for the next planning cycle, AI initiatives that cannot demonstrate value at scale are increasingly being reconsidered. Datatonic, a ten-time Google Cloud Partner of the Year, is positioned at the forefront of this shift, helping enterprises move from experimentation to deployment with engineering-first AI solutions designed for long-term performance, governance, and scale – all ensuring ROI-driven deployment.

“The biggest hurdle for executives is mistaking minor productivity gains for true strategic business impact,” said Scott Eivers, CEO at Datatonic. ” As organizations plan for 2026, small efficiency gains are no longer enough. Enterprises must also account for ‘productivity leakage’—the share of anticipated efficiency gains from automation that never materializes as increased output.”

From AI Pilots to Production-Grade Deployment
With 2026 AI roadmaps in place, the era of open-ended experimentation is officially over for most companies. Across industries, AI projects without clear ROI pathways are being cut. Leaders are prioritizing solutions that can scale and integrate into core business operations. An MIT report found that nearly 95% of generative AI pilots fail to move past the initial stage, often due to flawed enterprise integration and a lack of deployment readiness. Looking ahead, Gartner predicts that 40% of agentic AI projects will be canceled by 2027 due to escalating costs and unclear business value. Together, these signals point to a market recalibration already underway, one that is accelerating as enterprises prepare for the next phase of AI investment.

“It’s clear from industry trends that the most acute struggles are centered on data readiness and governance,” noted Eivers. “Initial GenAI momentum often overshadowed the need for strong data foundations, but scaled, real-world deployments depend on high-quality access to enterprise data. Slow, centralized governance is now one of the biggest barriers to moving AI into production.”

The Rise of Deployable AI
According to a recent IDC survey, roughly 88% of AI pilots never reach production, often because of unclear objectives, insufficient integration, and limited operational readiness. Datatonic’s engineering-first approach ensures clients build the reliable, governed data foundations necessary for rapid AI deployment and scalable results. This execution-focused model is already delivering measurable results:

• Accelerated Code Conversion: Datatonic has client-tested results of reducing the time for complex SQL-to-Dataform code conversion from months to weeks.
• Rapid Cost Efficiency: GenAI-driven agents are delivering major improvements in administrative and billing functions, where Datatonic has achieved as much as 70% reduction in costs.
• Enhanced Content Discovery: In some search use-cases, Datatonic’s AI deployments have achieved a 90% reduction in content search times, driving customer retention and reducing churn.

“The primary pushback we see is internal organizational inertia,” added Eivers. “The real struggle is breaking the pattern of being ‘stuck in pilot stage’ and resisting the end-to-end organizational change required to move toward full autonomy. This is why we created the Datatonic Academy, which has already upskilled over 30,000 learners in data and AI.”

A New Era for Consulting
The demand for measurable ROI is reshaping the consulting landscape. Advisory-led models built around strategy alone are giving way to AI-native approaches focused on deployment, governance, and execution. Enterprises are increasingly seeking partners that can deliver working systems, not just roadmaps. With proven, human-in-the-loop workflows and scalable architectures, Datatonic enables organizations to achieve defensible business value in months, not years.

“Enterprises need partners who can combine deep technical expertise with a value-driven mindset; real AI transformation depends on both. From the first use case to the full-scale transformation, that balance is what determines success,” concluded Eivers. “As organizations look toward 2026, real AI transformation will be defined by measurable outcomes. Many still assume AI primarily replaces people, but the biggest gains consistently show up in the metrics that drive customer value and revenue.”

About Datatonic
Datatonic is a global Data and AI consultancy and 10-time Google Cloud Partner of the Year, helping enterprises turn data and AI into clear, measurable business outcomes. As an end-to-end partner, Datatonic drives rapid transformation across strategy, architecture, deployment, enablement, and continuous optimization, empowering organizations to scale AI impact. Learn more at datatonic.com.

References:

1. Estrada, S. (2025, August 18). MIT report: 95% of generative AI pilots at companies are failing. Fortune. fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/
2. Gartner. (2025, June 25). Gartner: Over 40% of Agentic AI Projects Will Be Canceled by End 2027. Gartner. gartner.com/en/newsroom/press-releases/2025-06-25-gartner-predicts-over-40-percent-of-agentic-ai-projects-will-be-canceled-by-end-of-2027
3. Kost, D. (2025, November 12). AI companies don’t have a profitable business model. does that matter? Harvard Business Review. hbr.org/2025/11/ai-companies-dont-have-a-profitable-business-model-does-that-matter
4. IDC & Lenovo. (2025). CIO Playbook 2025. It’s Time for AI-nomics. investor.lenovo.com/en/global/Lenovo_CIO_Playbook_2025.pdf

Media Contact:
Karla Jo Helms
JOTO PR™
727-777-4629
jotopr.com

LAS VEGAS, Jan. 20, 2026 /PRNewswire/ — As the momentum of SHOTSHOW 2026 continues, an “Ultra-Clarity Era” ignited by ApexVision is capturing global attention—from Las Vegas to worldwide. Guide outdoor, the outdoor optics specialist, is bringing this “what-you-see-is-what-you-get” thermal intelligence to the outdoor observation and hunting optics.

Look Inside the Thermal Imaging Breakthroughs

Derived from “Apex” (the peak) and “Vision,” the name represents Guide outdoor’s pursuit of ultimate visual performance.

Building upon generations of thermal imaging technologies, ApexVision defines the next chapter in Ultra-Clarity with unparalleled performance, efficiency, and stability. It redefines thermal imaging from the ground up, combining a new detector, new processing platform, and new algorithm to deliver ultra-clear, smear-free thermal imagery — all-day, all-weather, all-condition.

1.   A New Class of Thermal Detector

The ApexCore S1 Detector, an in-house innovation packs thermosensitive materials and the latest manufacturing techniques, achieving a high thermal sensitivity of <15mK to capture subtle temperature differences.

2.   Accelerated Processing Performance

The Nexus 1.0 platform drives a leap in real-time processing. It integrates advanced AI-ISP architecture with high-performance SOC, achieving 50% lower power consumption and 200% higher computing power. This supports high frame-rate capture of moving targets.

3.   AI-Optimized Algorithm

Trained on deep neural networks and massive scenario data, the Hyper-light 2.0 algorithm deeply integrates capabilities like detail enhancement, target highlighting, and noise suppression, ensuring stable, reliable output across all environments.

Breaking Barriers in Clarity and Precision

ApexVision-powered hunting optics, include monoculars, binoculars and clip-ons, are tailored for professional hunters, gamekeepers and outdoor enthusiasts in hunting, hiking, search & rescue. When observing or tracking in adverse weather or low-visibility conditions, these optics help users detect targets easily through fog, rain, haze and cluttered backgrounds. They maintain sharp outlines, textures, and edges without blur or noise, even at high zoom. High frame-rate processing further eliminates ghosting and lag for smooth, real-time clarity.

Experience ApexVision at SHOTSHOW 2026

See how Guide outdoor is setting a new benchmark for thermal imaging. Join us at Booth #40516, Venetian level 1, for live demonstrations of ApexVision and Guide outdoor’s thermal imaging optics.

Guide outdoor is keen to explore global partnership and collaboration opportunities. Learn more at www.guideoutdoor.com or contact enquiry@guideoutdoor.com.

HOUSTON, Jan. 20, 2026 /PRNewswire/ — Sino Biological, Inc. is proud to announce the launch of its innovative SwiftFluo^® TR-FRET Kinase Assay Kits, a ready-to-use, high-performance solution designed to accelerate kinase activity detection and high-throughput kinase inhibitor screening.

Leveraging advanced Time-Resolved Fluorescence Resonance Energy Transfer (TR-FRET) technology, these kits deliver exceptional sensitivity, low background, and robust reproducibility. This enables rapid, reliable, and scalable screening of kinase inhibitors, outperforming traditional methods such as radioactive assays, ELISA, and fluorescence intensity-based techniques.

Optimized for profiling more than 60 tyrosine kinases (TKs), 150 serine/threonine kinases (STKs), and 15 cyclin-dependent kinases (CDKs), these SwiftFluo^® TR-FRET kits provide broad coverage across key signaling pathways. In addition to kits, Sino Biological offers related substrates and all corresponding biologically active kinases as standalone products, providing maximum flexibility for custom assay design.

“Researchers can perform homogeneous, no-wash assays in a simple add-and-read format compatible with standard HTS platforms, eliminating assay development time and streamlining workflows,” said Dr. Rob Burgess, Chief Business Officer at Sino Biological US, Inc.

“We are excited to introduce SwiftFluo^® TR-FRET kits as a powerful tool for the global research community,” said Dr. Jie Zhang, Sino Biological’s General Manager. “These kits are thoughtfully designed to balance ease of use, cost efficiency, and reproducible data, which are critical requirements for successful high-throughput screening campaigns.”

Researchers can visit www.sinobiological.com or download the technical Q&A handbook to explore how SwiftFluo^® TR-FRET kits accelerate kinase drug discovery.

About Sino Biological

Founded in 2007, Sino Biological is a global biotechnology company specializing in high-quality recombinant proteins, antibodies, and CRO services. Serving researchers in over 90 countries, Sino Biological supports basic research, drug discovery, vaccine development, and diagnostics through its comprehensive product portfolio, proprietary quality systems, and innovative research platforms.

Forward-Looking Statements

Certain statements in this document are “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act. These statements are based on Sino Biological management’s current expectations and are subject to uncertainty and changes in circumstances. Actual results may differ materially from those included in these statements due to a variety of factors, over which Sino Biological has no control. Sino Biological assumes no obligation to update these forward-looking statements and does not intend to do so.

For media inquiries or partnership opportunities, please contact:

Sino Biological, Inc.
gmo@sinobiological.cn
www.sinobiological.com

LOS GATOS, Calif., Jan. 20, 2026 /PRNewswire/ — TDengine today announced steady growth across key markets in 2025, closing a year defined by product expansion, ecosystem development, and continued adoption by industrial customers modernizing their data infrastructure.

In 2025, TDengine achieved over 100% year-over-year growth in both recognized revenue and cash collections, underscoring sustained demand for its technology across energy, manufacturing, and other data-intensive industries. The company signed more than 200 new customer contracts globally, reflecting growing trust in TDengine’s platform and long-term roadmap.

Product innovation remained a central focus. In March 2025, TDengine released TDgpt, bringing AI-assisted analytics into industrial data workflows. By delivering AI- and ML-based analytics in a single SQL statement, TDgpt makes it significantly easier for industrial enterprises to perform advanced analytics tasks such as time-series forecasting and anomaly detection.

Another major milestone followed in August 2025 with the launch of TDengine IDMP, the company’s industrial data management platform. TDengine IDMP extends TDengine’s core time-series data capabilities with data modeling, governance, contextualization, and automated AI-driven analytics and visualization, providing a more complete foundation for managing industrial data at scale. Since its launch, TDengine has already secured seven paying IDMP customers, marking an encouraging early validation of the platform.

In parallel with product development, TDengine invested in expanding its go-to-market ecosystem. During 2025, the company officially launched the TDengine Reseller Program, enabling partners worldwide to deliver localized consulting, integration, and support services built on TDengine’s technology stack. The program is designed to accelerate customer adoption while ensuring deployments are aligned with regional requirements and long-term operational needs.

“2025 was an important year of execution and evolution for TDengine,” said Jeff Tao, founder & CEO of TDengine. “We delivered consistent business growth, introduced AI and industrial data management capabilities to our product line, and laid the foundation for a scalable partner ecosystem. These efforts position us well as industrial customers look to move beyond data collection toward more intelligent and integrated data platforms.”

Looking ahead, TDengine plans to continue investing in product innovation, partner enablement, and global expansion, with a focus on helping industrial organizations turn time-series and operational data into durable, long-term value.

About TDengine

TDengine is an AI-powered data platform designed for industrial applications, combining the high-performance time-series database TDengine TSDB and the AI-native data management platform TDengine IDMP. With TDengine TSDB handling data ingestion, storage, and processing, and TDengine IDMP providing contextualization, standardization, and AI-powered analytics, TDengine enables industrial enterprises to unlock the true value of their time-series data.

Learn more at https://tdengine.com