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SigmaCore.ai Benchmark Study Reveals Standard AI Achieves Only 63.5% Accuracy in Financial Mathematics

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SigmaCore’s deterministic calculation engine delivers 100% precision, eliminating structural calculation flaws common in standard generative models.

ALPHARETTA, Ga., Nov. 3, 2026 /PRNewswire/ — SigmaCore.ai, an enterprise developer of deterministic AI systems, recently released the findings of a comprehensive benchmark study evaluating Large Language Model (LLM) calculation reliability in commercial financial deployments. The full research paper, titled “Can We Trust the AI to Do the Math?“, highlights a systemic gap in precision across traditional generative models and outlines how SigmaCore’s flagship engine, ElizaZH ™ (US Patent App 19/770,254), in short Eliza, maintains zero-defect computational performance.
Key Benchmark Findings Across 3,400 Financial Test Cases:

Generative LLMs (Direct Computation): 63.5% exact precision rate.Augmented LLMs (Code Execution Enabled): 94.7% exact precision rate.Eliza Deterministic Computation Engine: 100% exact precision rate.

The rigorous multi-model study observed 10,200 total experimental executions assessing 34 standard commercial financial calculations, including loan amortization payment schedules, three-year financial projections, and break-even financial assessments utilized in Small Business Administration (SBA) application streams. Calculations were executed across 100 randomized market scenarios. 
The benchmark study revealed that while augmenting standard LLMs with programmatic code execution reduced minor math slipups, it introduced deep logic vulnerabilities due to model confusion regarding correct formula selection. In two retail financial scenarios, accuracy plummeted to 18% when code tools were active, because the models mistakenly generated flawed financial formulas with high structural confidence. Crucially, the data points to no reliable proxy metrics—such as answer length or operational difficulty—capable of warning users of an error, with precision degrading sharply as arithmetic complexity advanced.
SigmaCore.ai protects enterprise accuracy across three core products:

Eliza: Guides SMB owners through conversation-driven workflows to generate bank-ready business plans, three-year financial models, and complete SBA loan documentation.Lex: Automates compliance routing and streamlines legal workflows.Azile: Delivers instant, automated financial verification and audit functionality.

The complete technical framework, validation methodology, and dataset access parameters are available directly on request.

This study marks the latest release from SigmaCore.ai Inc.’s proprietary, multi-phase research initiative targeting generative AI hallucination trends. Spearheaded by SigmaCore.ai CEO Professor Subhashish Samaddar and his corporate architecture team—resident AI expert Mr. Ravi Periasamy and AI drift researcher Dr. Shyam Dasari—the project showcases SigmaCore.ai’s wholly-owned Eliza platform as a prime example of successful regional technology commercialization.
Dr. Samaddar from GSU and SigmaCore.ai notes: “While SigmaCore.ai retains full asset ownership and research provenance, the deployment of Eliza highlights how, under the leadership of Dean Richard Phillips, the Robinson College of Business (RCB) and its Entrepreneurship Institute (ENI) foster innovation. This vital ecosystem—built on university and industry collaboration—incubates cutting-edge corporate AI research and accelerates a vibrant regional tech startup culture.”

As a testament to this exemplary startup culture, as we are sending this to the press, we received the word, that SigmaCore.ai has been selected as a finalist in the Georgia AI Pitch Competition, hosted in partnership with Eficens Systems, AWS, SBA, and the Georgia SBDC. The company receives an award of $25,000 in PoC funds and qualifies to win $100,000 grand prize. Additionally, SigmaCore.ai is currently in advanced discussions with multiple financial institutions regarding potential Eliza deployments.

About SigmaCore.ai
SigmaCore.ai builds deterministic AI systems designed for high-stakes enterprise applications across finance, law, and business operations. By replacing generative approximation with rule-bound calculation engines, SigmaCore.ai delivers absolute accuracy, regulatory compliance, and total auditability for business-critical workflows.

Media Contact:
SigmaCore.ai Press Office
Dylan Archibald
dylan.archibald@sigmacore.ai
www.sigmacore.ai

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SOURCE SigmaCore.ai Inc.

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Corvex to Host Third Quarter 2026 Earnings Call on Thursday, November 12, 2026

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November 3, 2026

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ARLINGTON, Va., Nov. 3, 2026 /PRNewswire/ — Corvex, Inc. (Nasdaq: MOVE), an engineering-led AI computing platform specializing in GPU-accelerated infrastructure for AI workloads, today announced that it will report its third quarter 2026 financial results before the market open on Thursday, November 12, 2026.

Management will host a conference call and live audio webcast that day at 8:30 a.m. ET / 5:30 a.m. PT to discuss the results and provide a business update.

The call will consist of prepared remarks followed by a question-and-answer session. Investors who would like to submit a question in advance may email Corvex Investor Relations at investor-relations@corvex.ai.

The live webcast of the earnings conference call can be accessed at the Corvex Investor Relations website at investors.corvex.ai. A replay of the webcast will be available at the same website following the call. Investors can also sign up for email alerts.

About Corvex, Inc.
Corvex, Inc. (Nasdaq: MOVE) is an AI cloud computing company specializing in GPU-accelerated infrastructure for AI workloads, and a publicly traded pure-play AI compute platform. The company provides secure, scalable and cost-efficient compute resources through GPU-accelerated clusters, high-throughput storage and a layered architecture engineered for reliability, performance and efficiency at scale. Corvex’s product suite includes AI Factories and GPU Clusters, the Assured AI confidential-computing platform, as well as the Corvex Token Factory, an inference platform now publicly available. For more information, visit corvex.ai.

Investor Contact
investor-relations@corvex.ai 

Media Contact
corvex.media@stillpointglobaladvisors.com 

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SOURCE Corvex

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Cisco Schedules Conference Call for Q1 Fiscal Year 2027 Financial Results

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14 minutes ago

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November 3, 2026

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SAN JOSE, Calif., Nov. 3, 2026 /PRNewswire/ — Cisco (NASDAQ: CSCO) has scheduled a conference call for Thursday, Nov 12, 2026, at 1:30 PM (PT); 4:30 PM (ET) to announce its first quarter fiscal year 2027 financial results for the period ending Saturday, October 24, 2026.

Financial results will be released over PR Newswire via US National and European Financial distribution, after the close of the market on Thursday, Nov 12, 2026. Cisco’s quarterly earnings press release will be posted at https://newsroom.cisco.com.  

Date:                     
Thursday, Nov 12, 2026

Time:                     
1:30 PM (PT); 4:30 PM (ET)

To Listen via Telephone: 
888-848-6507
212-519-0847 (for International Callers)

To Listen via the Internet: 
We are pleased to offer a live and replay audio broadcast of the conference call with corresponding slides at https://investor.cisco.com.

The conference call will also be livestreamed on YouTube, LinkedIn, & X.

Replay:
A telephone playback of the Q1 FY2027 conference call is scheduled to be available beginning at 4:00 PM (PT) on Nov 12, 2026, through 11:59 PM (PT) Nov 18, 2026. The replay will be accessible by calling 800-839-2232 (International callers: 203-369-3662). The call runs 24 hours/day, including weekends. An archived version of the webcast will be available on Cisco’s Investor Relations website at https://investor.cisco.com.

About Cisco

Cisco (NASDAQ: CSCO) is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience. With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all. Discover more on The Newsroom and follow us on X at @Cisco.

 

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SOURCE Cisco Systems, Inc.

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Powerfleet Sets Second Quarter Fiscal 2027 Conference Call for Monday, November 9, 2026, at 8:30 a.m. ET

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November 3, 2026

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WOODCLIFF LAKE, N.J., Nov. 3, 2026 /PRNewswire/ — Powerfleet, Inc. (Nasdaq: AIOT) today announced that it will hold a conference call on Monday, November 9, 2026, at 8:30 a.m. Eastern time (5:30 a.m. Pacific time) to discuss results for the second quarter fiscal year 2027 ended September 30, 2026. Financial results will be issued in a press release prior to the call.

Powerfleet management will host the presentation, followed by a question-and-answer session.

Date: Monday, November 9, 2026
Time: 8:30 a.m. Eastern time (5:30 a.m. Pacific time)
Toll Free: 888-506-0062
International: 973-528-0011
Participant Access Code:  906580

The conference call will be broadcast simultaneously and available for replay here and via the investor section of the company’s website at ir.powerfleet.com.

ABOUT POWERFLEET
Powerfleet (Nasdaq: AIOT; JSE: PWR) is a global leader in the artificial intelligence of things (AIoT) software-as-a-service (SaaS) mobile asset industry. With more than 30 years of experience, Powerfleet unifies business operations through the ingestion, harmonization, and integration of data, irrespective of source, and delivers actionable insights to help companies save lives, time, and money. Powerfleet’s ethos transcends our data ecosystem and commitment to innovation; our people-centric approach empowers our customers to realize impactful and sustained business improvement. The Company is headquartered in New Jersey, United States, with offices around the globe. Explore more at www.powerfleet.com. Powerfleet has a primary listing on The Nasdaq Global Market and a secondary listing on the Main Board of the Johannesburg Stock Exchange (JSE).

Powerfleet Investor Contacts
Carolyn Capaccio and Jody Burfening
Alliance Advisors IR
AIOTIRTeam@allianceadvisors.com

Powerfleet Media Contact
Jonathan Bates
jonathan.bates@powerfleet.com 
+44 7921 242 892

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SOURCE Powerfleet

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