Do these 3 things before closing this tab:
1Clear out junk files and repair common Windows errors2Scan for outdated or missing drivers - takes under a minute3Repair Windows errors before they cause bigger problemsiTechGuides is reader-supported. When you buy through links on our site, we may earn an affiliate commission. As an Amazon Associate I earn from qualifying purchases. Learn more
At the October 3, 2026, Bank of America Private Tech Trailblazers Conference in Palo Alto, speakers made a case for a different source of AI growth: systems built around a particular industry’s data, workflows, and physical operations. Examples ranged from restaurant robots and healthcare voice agents to commerce models, electric trucks, and specialized chips.
The examples suggest why companies are integrating more of the stack, but they are not a uniform market study. The operating, financial, and performance figures below are claims attributed to speakers or companies in SiliconANGLE’s conference report, not independently audited or comparable results. SiliconANGLE’s October 3, 2026 report is the source for the conference statements summarized here.
What vertical AI means in this conference’s growth story
Vertical AI applies artificial intelligence to a defined industry or task, often using specialized data and fitting the model into an existing workflow. The conference’s recurring argument was that as general-purpose models become more interchangeable, industry-specific data and integration could become more valuable. That is the speakers’ interpretation of the opportunity, not proof that vertical systems will consistently outperform general-purpose tools or become defensible businesses.
The nine examples below vary widely: some involve deployed products and company-reported usage, while others describe development goals, financing, or future plans. They should not be treated as one comparable cohort or ranked by performance.
#1 Best Overall
How companies are applying AI to specific industries
1. Bear Robotics: extending a restaurant robot fleet toward humanoids
Bear Robotics co-founder Bren Pierce said the company had about 16,000 autonomous mobile robots in the field and about 4,000 on backlog, with revenue doubling every year. Its core business is restaurants in Japan and Korea; Pierce also cited care homes and casinos, while an LG partnership is taking the company into warehouses and factories.
Pierce said Bear’s humanoids share software and cloud infrastructure with its mobile-robot fleet. He pointed to foundation models that can learn from a few hundred examples, Nvidia Jetson Thor onboard compute, and large-language-model-assisted coding as factors that can shorten development work once measured in months to days. He identified tactile hands as a remaining constraint, citing a cost of about $30,000 per hand. These figures and development claims are Pierce’s as reported by SiliconANGLE; the report does not establish independent deployment or cost benchmarks.
2. All3: automating construction by coordinating design, fabrication, and assembly
All3, the operating name of Address Robotics Ltd., is pursuing an integrated construction process: plot-based design, permit-ready documents, robot fabrication of one-off building elements, and on-site assembly and finishing by its Mantis mobile robot. CEO Rodion Shishkov said labor accounts for 55%–60% of construction costs, identifying a large potential target for automation.
Free tools Windows power users keep installed
One-click scans. No signup required.
SiliconANGLE reported that All3 was preparing its first project, a six-story co-living building on an 11-sided plot, after raising a seed round of about $25 million to $30 million. The project was described as in preparation, not as a completed demonstration of construction savings or speed.
3. Bloomreach: commerce models trained on consumer profiles
Bloomreach CEO Raj De Datta said the company uses about 100 models and that its Loomi AI is trained on 7 billion consumer profiles. He claimed Bloomreach’s models perform five to 10 times better than out-of-the-box large language models, but the conference report provides no benchmark method or test conditions for that comparison.
The report also says almost half of Bloomreach customers use an AI agent, the number of customers using four agents grew 23-fold in a year, and Loomi Connect calls rose 83% month over month. These are company-reported adoption and usage measures; the source does not define their denominators or independently verify them.
4. Harbinger: making medium-duty electric platforms compete on cost
Harbinger makes electric and hybrid medium-duty vehicle platforms. CEO John Harris said the platforms are priced at parity with diesel and estimated that a typical parcel truck in California saves about $30,000 a year on fuel after charging costs. That is a company estimate for a particular vehicle use case and geography, not a universal savings figure.
Windows Errors? Fix Them Before They Spread
Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallCrashes, No Sound, or Screen Glitches?
Random freezes, missing sound and display glitches usually trace back to one bad driver. Find and replace yours safely.Free scan · under a minuteSiliconANGLE named FedEx and Thor Industries as customers and reported that Harbinger’s battery system also powers Airstream travel trailers. Its production spans delivery trucks, RV chassis, energy storage, and Army autonomous ground vehicles. Harris said the company roughly doubles output capacity each year; the report does not provide a production baseline or independent capacity data.
5. Unconventional AI: designing for lower-power computing
Unconventional AI is developing hardware and software intended to reduce AI-system power use by about 1,000 times, according to CFO Ali Esfahani. The company’s approach uses physics-based dynamics on standard semiconductor processes, with system state holding memory. SiliconANGLE reported that the company taped out a chip at TSMC on June 1 and had raised about $540 million.
The 1,000-times figure is a design goal or company claim, not a measured result demonstrated in the report. No test protocol, comparison baseline, or deployed-system measurement is supplied.
6. Airwallex: packaging local financial access across markets
Airwallex offers businesses account opening, payment acceptance, and card issuance across roughly 80 to 100 major economies, according to head of corporate development, capital markets and investor relations Irvin Sha. SiliconANGLE reported that the Melbourne-founded company, established in 2015, had built more than 90 licenses, banking partnerships, and card-network connections. It is also adding AI for customer agents.
Recommended Free Tools
The report put Airwallex’s fundraising across Series F, G, and H at about $960 million, its valuation at up to $11 billion, and its annual revenue run rate at about $1.4 billion. These are figures reported in the conference roundup, not independently audited financial disclosures in that report.
7. Hippocratic AI: voice agents for healthcare support, not clinical decisions
Hippocratic AI chief business officer Shubhra Jain said the company’s voice agents handle support tasks for health systems, payers, and life-sciences companies: scheduling, pre-surgery preparation, post-discharge follow-up, and chronic-disease management. Jain said the agents do not diagnose or prescribe.
The company describes its safety architecture as 31 models: one conversational model and 30 supervisory models. SiliconANGLE reported that six health systems that invested in the company supplied 6 million patient calls for fine-tuning, and that Hippocratic AI had more than 60 enterprise clients, including five of the largest national payers. These company-reported figures do not establish clinical outcomes or the safety of every deployment.
8. Bank of America: capital intensity may change the path to public markets
JD Moriarty, Bank of America vice chairman and managing director and global head of TMT equity capital markets, said AI and robotics require more capital and that companies may reach public markets at greater scale. He described investors as favoring durable, outsized growth and said activity in 2026 leaned toward hardware and semiconductors rather than software.
Rank #4
This was Moriarty’s market assessment at the conference. SiliconANGLE’s report does not include a quantified market dataset that would establish it as a measured sector-wide trend or forecast.
9. CloudWalk: automating customer support with in-house GPU infrastructure
CloudWalk CEO Luis Silva said the company served more than 10 million active users through InfinitePay in Brazil, Pierre, and JIM.com in the United States, and had passed $2 billion in revenue. Silva said its customer-support agents ran on hundreds of Nvidia Blackwell GPUs and handled 99% of customer support, compared with 65% 18 months earlier.
The conference report also says half of CloudWalk users talk to its agents daily and that revenue per employee was $2.7 million. These are company-reported measures; the source does not define the support-automation denominator or independently audit the figures.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What the examples reveal—and what they do not
Across the conference cases, vertical AI means more than tailoring prompts to a profession. Companies described tying models to consumer profiles, patient calls, financial networks, or operational workflows; several also integrate software with robots, vehicles, chips, or manufacturing. That integration may help a system fit a real task, but the report frames it as a possible source of durability, not proof of a lasting competitive moat.
Quick wins for a faster PC:
Scan for outdated or missing drivers - takes under a minuteDriver Scan →Repair Windows errors before they cause bigger problemsFix Now →Evidence maturity differs sharply by example. Bear Robotics and CloudWalk reported operating scale and usage; All3 described a project it was preparing; Unconventional AI described a power-reduction aim; and multiple companies supplied performance or financial figures without shared methods for comparison. The conference report offers breadth and named speakers, but no common benchmark, independent audit records, or buyer comparison across the nine businesses.
John Furrier, executive analyst at theCUBE Research, captured the event’s thesis: “The thing about AI is that specialized intelligence is a big story now.” He said domain-specific data and industry requirements matter because “the intelligence comes out of the data.” That is a useful lens for understanding the companies’ strategies, but the cases alone cannot establish that vertical AI is the growth engine for the market as a whole.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
