The artificial intelligence (AI) market has experienced tremendous growth in recent years and is expected to continue on a high growth trajectory over the next decade. According to market research, the global enterprise AI market was valued at $10 billion in 2023 and is forecast to reach $270 billion by 2032, representing a compound annual growth rate of over 44% between 2023 and 2032. Key factors propelling AI adoption include increasing demand for predictive analytics, data-driven decision-making across industries, and advancements in underlying algorithms and computing infrastructure. Investments in R&D and a rush of AI startups entering the space also signal strong momentum.

Source: Company Reports

In tandem, the software-as-a-service (SaaS) delivery model has risen in popularity due to its flexibility, scalability, and cost-efficiency benefits. SaaS allows software applications to be centrally hosted and accessed by users on-demand via the Internet. AI and machine learning technologies are also increasingly integrated into SaaS platforms to add intelligence, automation, and predictive capabilities.

While growth potential abounds, successfully capitalizing on these expanding markets poses challenges. Many AI startups struggle to scale due to difficulties accessing capital and talent and the complexities of developing commercially viable products. As AI permeates enterprise software, SaaS vendors must grapple with tailoring solutions to evolving customer needs and ensuring robust data security and privacy controls, among other demands. Still, incumbents and disruptors alike stand to benefit tremendously from riding these high-growth waves, provided they can execute their strategies effectively.

Nexscient's capacity to capitalize on the AI and SaaS opportunity will ultimately come down to competitive execution, understanding, and capitalizing on macroeconomic and technological trends.

The predictive maintenance market presents immense potential, fueled by the proliferation of low-cost sensors, edge computing, 5G, and other Industry 4.0 technologies that enable proactive approaches to equipment maintenance. Globally, the predictive maintenance market is forecast to grow from $4.5 billion in 2022 to nearly $50 billion by 2032, representing a compound annual growth rate of 27.1%, per Precedence Research.

Source: Precedence Research

According to estimates, US manufacturers and industrial facilities lose approximately $50 billion annually due to unexpected machine breakdowns and inefficient maintenance practices. This problem underscores the opportunity for solutions like Nexscient’s AegisOne RxM that leverage AI and industrial IoT innovations to provide continuous monitoring and diagnostics for rotating equipment such as motors, pumps, and compressors. By combining wireless acoustic, vibration, and temperature sensors with cloud-based analytics, prescriptive maintenance platforms deliver actionable insights to help curb operational losses.

Competitively, Nexscient is differentiated by its subscription-based SaaS commercial model that eliminates upfront hardware costs and IT integration hurdles common with traditional condition monitoring systems. Its AI-powered platform seamlessly generates sensor-derived diagnostics, alerts key stakeholders to impeding failures, and prescribes corrective actions – delivering manifold cost and productivity advantages over prevailing approaches. With sensors attaching non-invasively and its scalable cloud architecture, the AegisOne RxM solution is designed for ubiquitous deployments across all facility types.

If Nexscient can validate its SaaS platform’s value proposition with a subset of the vast US manufacturing landscape riddled with legacy reliability challenges, it will demonstrate meaningful cost savings and ROI upside for customers while carving out an early-mover advantage. An immense, global, multi-billion-dollar runway lies ahead as facilities modernize.

Our Solution
AegisOne™ IES Platform

Nexscient is developing the AegisOne™ Intelligent Enterprise Solution (“AegisOne™ IES”), a SaaS platform that integrates enterprise applications and core business processes intelligence on an AI-powered business technology platform within a scalable network infrastructure to deliver actionable insights for businesses seeking to improve their operations, realize market differentiation, and attain industry relevance.

Looked at in its entirety, AegisOne is an integrated suite of SaaS solutions delivered via the cloud and underpinned by artificial intelligence to drive intelligent, predictive business capabilities targeting enterprise customers. The AegisOne platform aims to bridge various technologies - from sensors and IoT infrastructure to analytics, data management, and end-user applications.

Source: Company Reports

As it is being engineered, the platform will ingest real-time structured and unstructured data into a cloud data lake, leveraging internal and third-party sources. Sophisticated machine learning pipelines extract insights to inform analytical models and data visualizations provided in AegisOne solution dashboards. Users can leverage forecasts, recommendations, and alerts to guide optimized decision-making and actions.

A prime example is AegisOne's first application, RxM, which focuses on prescriptive maintenance for industrial machinery. The RxM solution deploys wireless sensor nodes with embedded AI analytics to facility equipment. Sensor telemetry feeds predefined rulesets tuned by domain experts. Concurrently, back-end AI modules process equipment sensor patterns over time to eventually prescribe failure risk alerts and remaining asset life projections.

Source: Company Reports

The fully managed AegisOne system architecture is cloud-native, enabling rapid innovation and scalability and maximizing uptime. Nexscient handles infrastructure, data, and software management, providing turnkey capabilities on an op-ex subscription basis. The platform’s wide breadth aims to accelerate the delivery of vertical-specific digital solutions by componentizing cutting-edge innovations - IoT, AI/ML, advanced analytics - into modular building blocks.

Nexscient’s inaugural commercial offering, AegisOne RxM, brings prescriptive maintenance capabilities to industrial facilities via an intelligent, cloud-hosted Software-as-a-Service solution. Harnessing IIoT sensors, edge analytics, and AI-driven diagnostics, RxM delivers actionable insights to predict equipment failures, prescribe corrective actions, guide maintenance planning, and reduce operational losses.

The RxM solution deploys self-contained sensor devices called Nodes, which attach non-invasively to facility machines like pumps, motors, and compressors. Each ruggedized Node houses acoustic, vibration, and temperature detectors, plus onboard processors. Nodes continuously harvest equipment telemetry, analyze signals, and transmit extracted data.

Nexscient’s cloud platform aggregates sensor streams from across a site’s Nodes. AI modules identify patterns signaling impending failures while rule-based logic parses incipient issues.

Dashboards present equipment health visibility for residents. Alerts notify key stakeholders of emerging failures up to 60-90 days out – accompanied by maintenance instructions. Over time, the RxM platform constructs a digital twin reflection of the equipment’s operating conditions, boosting diagnostics’ predictive precision. Nexscient handles all hardware, connectivity, data, analytics, and software management as part of its subscription.

Source: Company Reports

With its streamlined deployment and operationalization, RxM leapfrogs dated breakpoint maintenance approaches prone to disruptive downtime. Nexscient’s AI-enabled IIoT solution provides modern facilities with a fast, affordable path to boosted productivity and safety via equipment prescriptives. Continuous monitoring and machine learning further make the system smarter, maximizing sensor ROI.

Nexscient is currently developing AegisOne, a modular intelligent enterprise platform intended to drive transformative business capabilities by unifying technologies into a digital ecosystem. The AegisOne vision encompasses integrating sensors and industrial internet-of-things infrastructure; federated data pipelines ingesting myriad structured and unstructured sources; robust analytic engines leveraging predictive modeling, machine learning, and AI; and customizable applications to empower data-driven solutions for industry.

Source: Company Reports

This platform architecture remains under active development. Nexscient's inaugural commercial offering is AegisOne RxM, a showcase application focused on prescriptive maintenance for heavy rotating machinery. By non-invasively attaching self-contained sensor nodes to collect vibration, temperature, and ultrasonic acoustics time-series signals processing data via programmable edge logic controllers and cloud-based AI to distill performance diagnostics and identify failure precursors; the RxM application aims to provide manufacturers and facility owners with continuous visibility into overall equipment health to drive operational optimization. Real-time alerts, maintenance work order recommendations, interactive dashboards, and long-term projections constitute an Industrial IoT-powered Software-as-a-Service solution for maximizing critical asset availability and minimizing the total cost of operations.

Nexscient intends to introduce AegisOne™ RxM as its inaugural application on its IES platform. AegisOne™ RxM offers a continuous, remote monitoring solution for prescriptive maintenance programs utilizing Industrial IoT (IIoT) technology, machine learning, and AI-driven analytics.

AegisOne™ RxM offers comprehensive and actionable insights to manufacturers and continuous process facilities seeking an effective yet affordable equipment monitoring solution to help reduce equipment failures, avoid unscheduled downtimes, decrease equipment maintenance costs, and improve overall equipment efficiencies.

Source: Company Reports

While representing the first version built upon underlying AegisOne sub-components, RxM will validate Nexscient’s embedded sensing, automated analytics, and business intelligence capabilities to extract value from hitherto underused signals. To achieve the full tech-enabled business transformation potential, additional reliability, quality, efficiency, and sustainability solutions leveraging the extensible AegisOne framework lie on the technology roadmap.

Nexscient plans to deliver its AegisOne solutions as all-inclusive managed services via cloud-based subscription packages. By internally handling upfront infrastructure procurement, deployment logistics, data pipelines, analytics, and app management, Nexscient can offer turnkey operational intelligence on an affordable pay-as-you-go basis.

The company’s inaugural RxM offering continuously monitors industrial machinery such as motors, pumps, and compressors. Subscription tiers are differentiated by the number of sensor nodes, allowing monitoring coverage for a certain machine population size per site. Multi-year agreements allow discounted annual rates. Nexscient installs wireless edge sensor nodes, commissions on-premise connectivity, ingests data streams, and serves insights through AegisOne web and mobile apps.

AegisOne™ RxM uses a network of autonomous data collection beacons that attach to the outer casing of existing machinery and securely transmit pertinent data from on-board sensors directly to our cloud-based analytics platform for processing and diagnosis.

Deployment is virtually “plug ‘n play,” as each AegisOne™ Node takes only a few minutes to self-configure before beginning to collect and analyze data. Since Nodes are externally mounted to the outer casing of the equipment, there is no integration required, thereby bypassing the hassle and expense of configuring them with any data network. Also, the system is agnostic to age, make, and model of the equipment; AegisOne™ RxM is universally compatible, capable of monitoring any type of rotating equipment (i.e., motors, blowers, pumps, compressors, gearboxes, etc.)

Source: Company Reports

Value-added services accompany RxM subscriptions, including machine learning-enabled failure projections, risk severity classifications, work order automation, and API integration support. For qualified accounts, professional services like on-site operational improvement analysis, sensor redeployment optimization, and staff augmentation for client platform administrators are also available for purchase. Custom dashboarding, anomaly detection tuning, and dedicated in-house AI model development cater to sophisticated users with niche needs.

Nexscient intends to expand its AegisOne portfolio into adjacent operational monitoring use cases over time while extending capabilities. The company’s cloud-based delivery model eases incremental solution consumption, providing maximum flexibility. All existing and future AegisOne applications will leverage shared sensors, data, and common access portals - improving ROI.

Source: Company Reports

Central to Nexscient’s long-term vision is assembling an ecosystem of synergistic AI innovators across high-growth technology domains, from predictive analytics to deep learning. Nexscient is uniquely positioned to identify promising AI startups, invest at attractive valuations, and integrate them into its collaborative network.

Specifically, Nexscient will target majority acquisition stakes in AI pure-plays to promote active involvement via board representation and frequent engagement. The company will maintain startup independence post-investment, instilling entrepreneurial creativity. Nexscient will strive to provide startups with amplified access to capital and veteran expertise across management, product development, marketing, and IPO preparation.

We intend to capitalize on an identified market opportunity to attract, acquire and integrate emerging companies into a collaborative network which leverages Nexscient’s collective pool of knowledge and resources brought together by its executive management, advisors, and partner companies.

We intend to utilize our position as a publicly-traded company to raise capital, through the issuance of equity and/or debt, on terms anc conditions favorable to the company not only to fund our operations but potentially to make strategic investments and acquisitions of qualified emerging companies and integrate them into our collaborative network.

• Accelerate the clock speed of innovation & commercialization

• Realize savings from economies of scale for operational resources

• Exploit opportunities derived from talent & technology synergies

• Enjoy diversified portfolio of revenues and earnings potential

Source: Company Reports

Once under the Nexscient umbrella, our AI subsidiaries potentially gain a springboard to rapidly scale their platforms by leveraging shared data science talent, cross-company technology reuse, and joint GTM initiatives. Nexscient’s cloud infrastructure and architectural best practices further accelerate innovation. Collaborating cross- functionally, AI network partners can achieve amplified, non-linear solution impact.

Nexscient manages the overarching AI ecosystem technology strategy. Corporate development pursues build vs buy trade-offs, commercialization sequencing, IP development, and future exit planning to maximize returns. Flagship partner successes spotlight Nexscient’s AI capabilities, attracting further cutting-edge prospects.

Nexscient has brought together an elite team of AI visionaries, enterprise technology veterans, and company-building experts who provide unparalleled insights and leadership. This world-class founding group aims to rapidly scale Nexscient's transformative intelligent automation solutions by integrating their multi-disciplinary expertise with data-driven software innovations.

Source: Company Reports

Fred E. Tannous - CEO & Director

Fred is an accomplished serial entrepreneur and inventor, having launched successful ventures in aerospace engineering, digital media, gaming, and enterprise SaaS over a 35+ year career. As CEO of Nexscient, Fred steers corporate strategy and partnerships in addition to fostering a high-performance culture. His technical pedigree and operational excellence unlock growth while governance best practices mitigate risks. Past exits and an extensive network provide access to capital and top-tier talent relationships.

Tarek N. Shoufani - COO & Director

Tarek is a global business optimization leader with over 20 years of perfecting systems, processes, and teams to maximize efficiency. His technology implementations have delivered tens of millions in cost savings and revenue expansions for logistics and manufacturing firms worldwide. As COO, his process orientation bolsters speed-to-market and customer satisfaction. Tarek has built companies from the ground up and excels at nurturing innovation amid hypergrowth.

Michael J. Portera - CFO & Director

Michael's distinguished 40-year career in corporate finance includes leading multi-billion dollar M&A transactions, structuring complex partnerships, and advising Fortune 500 corporations on strategic initiatives. As Nexscient's CFO, he stewards world-class governance and exercises sound judgment honed from his CPA and investment banking roots. Michael also provides public markets expertise guiding future capital raises and liquidity events. His connections foster invaluable talent acquisition and commercial relationships.

Eric Manlunas - Independent Director

Eric is the Founder of Wavemaker Partners, a cross-border VC firm managing over $400M, where he has actively guided 450+ high-tech startups to exit. He lends this wealth of experience to the Nexscient board to bolster operational rigor and provide wise counsel during hypergrowth while maximizing long-term value. Eric's ability to continually forge partnerships and negotiate complex deals unlocks doors for strategic collaboration and channel expansion.

This communication is neither an offer to sell nor a solicitation of an offer to buy, nor a recommendation of any securities of the company mentioned herein.

Nexscient, Inc.  (the “Company”) has reviewed the content of this page as well as the accompanying presentation (“Company Presentation”) displayed on this page. To the best of its knowledge, the Company does not believe this content to be misleading or inaccurate in any material respect, nor does it believe there are any material omissions with respect to such content. The Company does not believe the contents of the page or the Company Presentation to contain any non-public material information.

Information and opinions presented in the Company Presentation are provided by the Company, and b2iDigital makes no representation as to their accuracy or completeness. The information contained on this page is not intended to constitute any form of advice, and the information provided is not intended to provide a sufficient basis on which to make an investment decision. It is not investment research, nor does it constitute a research recommendation, as it does not constitute substantive research or analysis. This information is not to be relied upon in substitution for the exercise of independent judgment. 

Information, opinions and estimates contained on this page or in the Company Presentation reflect judgments by the Company as of the original date of publication by the Company and are subject to change without notice. Past performance should not be taken as an indication or guarantee of future performance, and no representation or warranty, express or implied is made regarding future performance.

A complete description of the risks and uncertainties relating to the Company and its securities can be found in the company's filings with the U.S. Securities and Exchange Commission available for free at www.sec.gov.

Information on this page may relate to penny stocks, which may also be referred to as low-priced stocks. Penny stocks are low-priced shares typically issued by small companies. Penny stocks involve greater than normal risk, they may be less liquid than other stocks (i.e., more difficult to sell), and there may be less reliable information available regarding such stocks. Investors in penny stocks should be prepared for the possibility that they may lose their entire investment.

b2i digital or its related entities may own securities of the Company.

The Company is a client of b2i Digital. The Company agreed to pay b2i Digital no greater than $100,000 in cash for 12 months of digital marketing consulting and investor awareness services.

This communication includes forward-looking statements that involve risks, uncertainties and assumptions that are difficult to predict. Words and expressions reflecting optimism, satisfaction or disappointment with current prospects, as well as words such as “believes,” “hopes,” “intends,” “estimates,” “expects,” “projects,” “plans,” “anticipates” and variations thereof, or the use of future tense, identify forward-looking statements, but their absence does not mean that a statement is not forward-looking. The Company’s forward-looking statements are not guarantees of performance, and actual results could vary materially from those contained in or expressed by such statements due to risks, uncertainties and other factors. The Company urges readers to consider specifically the various risk factors identified in its most recent Form 10-K, and any risk factors or cautionary statements included in any subsequent Form 10-Q or Form 8-K, filed with the SEC. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date of this communion. Except as required by law, the Company does not undertake any responsibility to update any forward-looking statements to take into account events or circumstances that occur after the date of this communication.