IT, AI & Telecommunications

TELI.ai Grows From Outbound Voice Bot to AI Communication Suite

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TELI.ai Grows From Outbound Voice Bot to AI Communication Suite

SOUTHFIELD – – November 12, 2026 -- TELI.ai has expanded from a single outbound voice AI agent into a broader communication platform, the TELI AI Suite, after mortgage-industry customers shaped its development, according to the company.

Founders' outbound sales experience shaped the first product

Co-founders Anthony and Charlie Toma ran a sales company built on high-volume outbound prospecting before TELI existed. Their teams dialed lead lists and absorbed constant rejection, a process the founders found hard to scale and hard on employees.

Bengals Add Alive5 AI Chatbot as Gameday Chats Hit 10x Volume

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Bengals Add Alive5 AI Chatbot as Gameday Chats Hit 10x Volume

HOUSTON – November 12, 2026 -- Fan conversations on Cincinnati Bengals gamedays ran nearly ten times a typical day, according to Alive5, the Houston-based chat provider that has added an AI assistant called Who Dey AI to Bengals.com and the Bengals Mobile App.

Bengals extend a 2013 Alive5 relationship with an AI chatbot

The launch expands a relationship that began in 2013, when the Bengals added Alive5 live chat to Bengals.com for ticket sales and service. The AI layer gives the club 24/7 customer support, captures and qualifies sales leads offline, and reduces staff busywork.

Forum Markets Cuts 2026 Revenue Outlook to $8-9M, Keeps 2027 Target

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Forum Markets Cuts 2026 Revenue Outlook to $8-9M, Keeps 2027 Target

Palm Beach – November 12, 2026 -- Forum Markets (Nasdaq: FRMM) cut its full-year 2026 revenue guidance to $8 million-$9 million from $18 million-$22 million, while holding its 2027 revenue target at $125 million-$175 million. The company reported third-quarter net income of $7.9 million, helped by a $13.9 million non-cash gain on digital assets.

Rising GPU, equipment and financing costs delay AI compute revenue

Forum no longer expects to recognize any AI compute revenue in 2026. Prior guidance assumed initial capacity would be generating revenue in the fourth quarter. The company chose to slow deployment because of rising compute pricing, equipment costs and financing costs, which it says accelerated after the midterm elections. Fourth-quarter revenue is expected to come mainly from its commercial aircraft engine portfolio.

Bentaus Cuts GPU Power 30% While Keeping 97% of Token Output

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Bentaus Cuts GPU Power 30% While Keeping 97% of Token Output

RA'ANANA – November 12, 2026 -- Bentaus, an energy-first NeoCloud, cut GPU power by 30% while retaining 97% of token throughput on an AI cluster built with DriveNets networking, according to a joint announcement by the two companies.

The cluster runs AMD Instinct MI325X GPUs on DriveNets AI Fabric as the back-end network. It is managed by Bentaus Ziani Systems, which uses the GPU-FLX and CPU-FLX platforms to adjust compute power in real time. The companies describe the result as a grid-responsive, vendor-agnostic infrastructure built on open standards, aimed at maximizing tokens per watt and lowering cost per token.

Ziani software curtails power in real time without halting AI workloads

Ziani lets data centers reduce GPU and CPU power draw dynamically and return power to the grid while AI workloads keep running. Bentaus CEO and Founder Bob Davidoff said the aim is "more compute, delivered more efficiently, on power the grid can sustain."

Rafay, Fortanix Launch Confidential AI Service for Neoclouds

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Rafay, Fortanix Launch Confidential AI Service for Neoclouds

SUNNYVALE – November 12, 2026 -- Rafay Systems and Fortanix Inc. have launched a joint solution that lets neoclouds, sovereign AI clouds and enterprises sell confidential AI as a service, with workloads running in hardware-isolated environments where data and models stay encrypted during processing.

The Rafay Platform now orchestrates workloads on CNCF Confidential Containers (CoCo) combined with Fortanix Confidential AI. The release extends the companies' existing integration for confidential virtual machines. Support for CoCo-based deployments is available now. Fortanix announced Fortanix Confidential AI for CoCo on Oct. 19, 2026.

Genpact: 79% of Firms Run AI Agents, Only 15% Tie Spend to P&L

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Genpact: 79% of Firms Run AI Agents, Only 15% Tie Spend to P&L

NEW YORK – – November 12, 2026 -- Only 15% of enterprises have fully tied AI investment to P&L outcomes, even though 79% already run AI agents in production, according to a Genpact survey of more than 2,000 executives. On average, just 49% of AI initiatives funded in the past 24 months have delivered the expected value.

Agents reach production faster than operating models change

Genpact (NYSE: G) published the findings in its report "Autonomy in Practice." The survey covered senior executives at companies with annual revenues from $1 billion to more than $50 billion, across 17 industries and 14 business functions. Genpact also conducted in-depth interviews with enterprise leaders.

Gcore, TengriAI Eye 100 MW AI Data Center in Kazakhstan

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Gcore, TengriAI Eye 100 MW AI Data Center in Kazakhstan

Luxembourg – November 12, 2026 -- Gcore and TengriAI have signed a Memorandum of Understanding to explore a GPU data center in Kazakhstan with a target capacity of up to 100 MW, phased between 2027 and 2029.

Central Asia's thin AI compute base forces reliance on foreign capacity

Central Asia has little domestic AI compute, so organizations depend on capacity in Europe, the Gulf or East Asia, often outside regulatory jurisdiction. Gcore CEO Andre Reitenbach framed the project as a response to a question every market asks: "how do we run AI on our own terms?" The facility would put large-scale GPU infrastructure in the country, operated from the country, for customers across the region.

IBM Names LivXP Winner of Sports Tech Startup Prize Challenge

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IBM Names LivXP Winner of Sports Tech Startup Prize Challenge

LISBON – November 12, 2026 -- IBM selected LivXP, a Swiss-American agentic AI startup, as winner of its Sports Tech Startup Prize Challenge at Web Summit Lisbon, ahead of six other finalists. The grand prize includes up to $100,000 toward a proof-of-concept project with IBM's Sports and Entertainment Partnership Team.

Prize package carries conditions on funding and credits

The $100,000 is earmarked for an eligible proof-of-concept project and is subject to separate review and agreement requirements. The package also includes up to $20,000 in IBM credits for services and technology, plus mentorship and evaluation opportunities under the Official Rules.

CIQ Pitches Modular 'AI Kit' as Idle GPUs Cost $15.6M a Month

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CIQ Pitches Modular 'AI Kit' as Idle GPUs Cost $15.6M a Month

Global – November 10, 2026 -- CIQ told delegates at AI Infrastructure Field Day that roughly 9,000 GPU nodes cost about $15.6 million in GPU hours for every 30 days they sat idle, according to a CIQ calculation based on one customer's deployment. The company used the figure to argue for building AI infrastructure from independent, replaceable layers instead of buying a single-vendor stack.

CIQ says AI stack layers change on one-to-three-month cycles

CIQ's presenter said every layer of the AI stack is changing at once, with some layers turning over every one to three months and hardware revised within a year. In the customer example, GPUs arrived before the rest of the data center was ready. Teams under production pressure often request a complete AI factory from one vendor, which commits them to that vendor's fixed view of the stack at one point in time.

CIQ's RLC Pro AI Loads Models 18% Faster Than Ubuntu 24.04 HWE

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CIQ's RLC Pro AI Loads Models 18% Faster Than Ubuntu 24.04 HWE

Global – November 10, 2026 -- CIQ says Rocky Linux from CIQ Pro AI (RLC Pro AI) deploys a GPU node in 3 minutes 44 seconds on the happy path and delivered 18% more model-loading throughput than Ubuntu 24.04 with the HWE kernel. The company presented the results at AI Infrastructure Field Day.

RLC Pro AI ships CUDA, NVIDIA drivers and tested frameworks inside the OS

The Enterprise Linux distribution bundles CUDA, the NVIDIA drivers, and frameworks such as PyTorch and Ollama, all tested together. On other distributions, CIQ says, a new GPU node means finding the right driver, compiling kernel modules, adjusting boot parameters and rebooting before a matching framework can be installed.