Artificial Intelligence

Livonia, Michigan – October 14, 2026 -- Industrial intelligence company Aatmunn has secured a growth investment of up to $8 million from Santa Monica-based Memento Growth Partners (MGP), with existing investors also participating, to scale its SPANR platform.

The money will go to expanding Aatmunn's sales and marketing organization and accelerating SPANR research and development, including AI integration.

SPANR serves more than 300 enterprises and 80,000 protected workers

SPANR connects devices from different manufacturers, normalizes their data and applies AI-driven analysis so teams can act in real time. Use cases include worker safety, gas detection, asset tracking and inspections. The platform is SOC 2 Type II audited and is deployed across the United States, Canada and Europe.

Dublin, Calif. – October 14, 2026 -- TriNet (NYSE: TNET) is rolling out four platform upgrades for small and medium-size businesses (SMBs), adding leave management, applicant tracking and expense control, plus expanded AI assistance, to its HR platform in phases.

TriNet Leave, built on the Cocoon acquisition, is rolling out in phases

TriNet Leave, powered by Cocoon, follows TriNet's acquisition of Cocoon earlier this year. It combines Cocoon's technology with TriNet's leave administration expertise in one experience connected to the TriNet platform. Employers can manage leave requests, compliance obligations, claims tracking and return-to-work processes in a single workflow.

Irvine – October 14, 2026 -- ATTOM has released version 1.0 of Semantic Views for its property data delivered through Snowflake, adding a layer of business context intended to help AI systems interpret and query complex real estate datasets.

ATTOM builds the semantic layer on Snowflake's native technology

The offering uses Snowflake's native Semantic View technology. It defines how ATTOM's property data points connect and should be used, so customers no longer have to build and maintain that knowledge themselves. ATTOM said it drew on decades of experience curating and standardizing property data.

Four customer benefits target AI development speed and accuracy

ATTOM lists four intended outcomes:

Orlando – October 14, 2026 -- Land id, a proptech mapping platform with more than 50,000 users and more than three million maps created, will present its AI-powered property insights to land brokers at two industry events in October, starting October 14 at United Country's annual conference.

Roberson presents AI Insights, Map Tours and CarPlay at United Country on October 14

Founder Steve Roberson will speak at the Grand Cypress Resort in Orlando, Florida, on the session "What's New in Land id: AI Insights, Map Tours & CarPlay." He will then travel to the Fort Worth Stockyards in Texas to speak at Keller Williams's 2026 Land Summit on October 21-23.

United Country has operated for more than a century. Keller Williams was founded in 1983. Both events draw land and ranch professionals to discuss brokerage strategies, emerging technologies and growth opportunities.

San Francisco – October 14, 2026 -- Schemata has been awarded $3.25 million in fully funded, milestone-based contracts through the U.S. Air Force innovation arm AFWERX to deliver AI-enabled virtual training for Air Force equipment. The total comprises an initial $1.25 million award and a $2 million extension, which funds training for members of the 97th Air Mobility Wing.

Altus pilot spreads to nine installations at no added cost

Schemata began with two civilian equipment platforms at Altus. Each module is a photorealistic, interactive 3D copy of the real equipment, paired with an AI Instructor that guides Airmen through inspection procedures and answers their questions. Airmen use the modules to prepare for the hands-on inspection portion of equipment certification, and can practice on their own schedule without the physical equipment or an instructor present.

Singapore – October 14, 2026 -- PHAL has launched PHAL OS, which it describes as the world's first Total Hotel agentic AI solution, and has confirmed a third mandate from a Top 10 global hotel group that selected the Singapore firm for an initial proof of concept.

PHAL secures third client mandate within six months

The new client, a Top 10 global hotel group, remains confidential, as with PHAL's earlier engagements. PHAL's inaugural client, also a Top 10 global hotel group, has proved three projects and is scaling to further bespoke builds, with the first solutions ready for production.

A globally recognised luxury operator has signed a Letter of Intent and is progressing to its next steps. CEO and Founder Saurabh Prakash said that three of the world's most significant hotel groups have trusted PHAL within six months.

Hickory, N.C. – October 14, 2026 -- Transportation Insight (TI) has launched TI Infinity, an AI-powered Decision Intelligence platform built on a logistics book that covers $14.4 billion in managed client spend and 2.8 billion audited shipments a year.

TI Infinity replaces historical reporting with continuous analysis of live transportation data

The platform combines continuous monitoring, predictive analytics, anomaly detection, scenario modeling and conversational intelligence. It analyzes market, spend and performance data to identify trends, emerging risks and opportunities without requiring users to know what to look for. Shippers can query their data in plain language, investigate what is driving a change, evaluate potential outcomes and determine the next best action.

Shenzhen – October 13, 2026 -- Pudu Robotics' PUDU BG1 Series, which drew pre-orders above RMB 100 million within its first month on the market, has won two ISSA awards in South Korea and Australia.

The series took the Robotics Award category of the ISSA ASIA AWARDS 2026 at ISSA SHOW ASIA in South Korea. It also won the People's Choice Award at the 2026 ISSA Excellence Awards during the ISSA Cleaning & Hygiene Expo in Australia.

BG1 Series reached the market in March 2026 as an AI-native large-scale cleaner

Pudu launched the BG1 Series in March 2026. The robots are designed to move beyond fixed routes and predefined cleaning routines toward adaptive, context-aware operation.

The AI-driven functions identify different types of dirt and floor conditions, target detected messes and adjust cleaning parameters automatically. Target environments include retail complexes, warehouses and industrial facilities.

Raleigh – October 13, 2026 -- Ledger Run, a clinical trial financial management provider, has appointed former Cytel and Oracle product executive Anne Pelz as Vice President of Product and is increasing R&D spending to build an AI-powered, end-to-end financial platform.

Pelz brings more than two decades of life sciences technology experience

Pelz began her career in product management at PHT Corporation, later acquired by Clario, where she led development of what became Clario's cornerstone mobile tool. She then moved to Parexel, managing medical imaging software development and working as a solutions consultant for its eCOA division. As vice president of product at Cytel, she helped build and launch a clinical trials management platform, before taking a similar executive role at Oracle. She holds an undergraduate degree in mechanical engineering from Yale University and an MBA from MIT Sloan.

New York – October 13, 2026 -- KNOWIDEA, the decision intelligence company, has published a research paper co-authored with Georgia Tech and developed with one of the world's largest asset managers, aimed at making AI-generated financial database queries verifiable before they inform decisions.

The paper, titled "VeriPIE: Checkable Query Plans and Evidence-Guided Selection for Text-to-SQL," describes a method that improves the accuracy of AI-written database queries. Each answer comes with evidence that a risk team can validate before acting on it.

Silent query errors return plausible but wrong numbers

Banks, asset managers and corporate finance teams are adopting AI tools that convert plain-English questions into database queries, a task known as text-to-SQL. According to the paper, the main danger is not the query that fails but the one that runs, returns a reasonable number and is wrong.