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Outerbounds Showcases Transformative ML/AI Use Cases Across Industries with New Platform Features

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SAN FRANCISCO, Sept. 16, 2024 /PRNewswire/ — Outerbounds, the developer of Metaflow, a leading open-source ML/AI framework co-created with Netflix, today unveiled key platform enhancements. The new features support the full lifecycle of ML/AI projects, enabling enterprises to:

Develop ML/AI systems faster and securely within their own cloud environments using cutting-edge development tools. The new features include built-in solutions for software supply chain management, allowing container images to be baked in seconds, drastically simplifying and speeding up ML/AI experimentation and production deployments.Scale the training of even the most demanding models across GPU clusters with robust fault-tolerance.Deploy highly available production workflows on Outerbounds’ managed platform, including state of the art GenAI models, ensuring SLA guarantees and the security required by regulated industries and innovative startups.

The platform manages a wide range of use cases, from supervised machine learning tasks like fraud detection and medical image analysis to cutting-edge generative AI applications, including private large language models (LLM), powered by state-of-the-art models from NVIDIA NIM microservices, seamlessly integrated into the platform.

Savin Goyal, CTO of Outerbounds, noted, “With open-source Metaflow, which we launched at Netflix five years ago, we’re uniquely positioned to collaborate with hundreds of leading ML/AI organizations like Amazon, Ramp, Autodesk, and Mozilla – and of course Netflix. Together, we’ve developed the features they need to power real-world ML/AI use cases today. These features are now available to Outerbounds customers, enabling them to develop and deliver projects significantly faster, giving them a competitive edge in the race to drive sophistication and efficiency across industries.”

Powering ML and AI across industries

Several companies have already seen transformative results using Outerbounds:

BlackCrow AI, a marketing analytics firm, cut its ML model deployment time from nine months to just two months. Camelia Hssaine, Head of Data Science, said: “Outerbounds made deployment approachable, and the ability to track experiments has been a game-changer.”

Setpoint, a fintech startup optimizing asset-backed lending, increased its compute capacity significantly. Russell Brooks, Head of Machine Learning Engineering, shared: “Outerbounds allows us to optimize financial problems at a scale we couldn’t have imagined before, completely eliminating our infrastructure burden.”

Tala, a global microlender, increased model deployment velocity by 500%. Will High, Head of ML/AI Data Science & Engineering, noted: “With Outerbounds and NVIDIA NIM, model retraining is automated, and onboarding data scientists now takes days instead of months.”

MSAID, a proteomics company focused on drug discovery, accelerated its data processing tenfold. Siegfried Gessulat, Technical Lead for Machine Learning, said: “Outerbounds freed us to focus on research, not ML operations. Our pipelines now run 10 times faster.”

Learn more

To learn more about the new and upcoming features, visit the announcement blog post. Outerbounds is a proud sponsor of the PyTorch Conference, taking place on September 18-19 in San Francisco, where attendees will have the opportunity to experience the new platform features in action.

About Outerbounds
Building on open-source Metaflow and spinned off from Netflix, Outerbounds was founded in 2021 to provide a fully managed platform for AI/ML systems for teams to design and develop applications and deploy them on a scalable, enterprise-grade platform. The company has helped hundreds of organizations — from startups to highly regulated banks — deploy AI, ML and data apps from prototype to production, faster. Learn more at Outerbounds.com.

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ATTOM ENHANCES RENTAL AVM WITH AI-POWERED MODEL COVERING NEARLY 100 MILLION U.S. HOMES

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Enhanced model expands coverage by about 40% and delivers a 5.9% median error on homes not yet listed for rent

IRVINE, Calif., Nov. 3, 2026 /PRNewswire/ — ATTOM, the leading provider of property data, AI-powered intelligence, and real estate analytics solutions, today announced enhancements to its Rental AVM, introducing an AI-powered model that estimates current monthly market rent for nearly 100 million U.S. single-family homes, condominiums, and townhouses, an increase in coverage of about 40%. The model delivers a 5.9% median absolute error on homes before they are listed for rent, helping businesses evaluate rental potential and make more informed decisions.

“Estimating rental values is difficult because leases are private and many homes have no rental history,” said Rob Barber, CEO at ATTOM. “With these enhancements, we’re extending the same approach driving ATTOM Intelligence, combining trusted property data with advanced AI and analytics, to many more homes, so customers get more meaningful insights and can make better-informed decisions.”

Key Enhancements Include:

Expanded Coverage: Rental estimates for nearly 100 million single-family homes, condominiums, and townhouses across all 50 states and the District of Columbia, a coverage increase of about 40%.Improved Accuracy: A 5.9% median absolute error on homes before they’re listed for rent, with calibrated low and high values that tighten as the evidence behind an estimate grows.AI-Powered Modeling: Multiple machine-learning models evaluate property characteristics, property value, rental history, and recent rental activity, weighing each based on the available evidence for a property.Listing-Based Training: The model is trained and benchmarked on observed rental listings, cleaned to remove duplicates, placeholder rents, and unrealistic prices.

“Our enhanced Rental AVM evaluates multiple sources of rental information and adapts to the evidence available for each property,” said Aaron Wagner, Head of Data Science at ATTOM. “That adaptability is what allows us to estimate rent for homes with no rental history and extend coverage to nearly 100 million properties, while keeping the ranges calibrated to the strength of the evidence behind each estimate.”

Built for Real-World Applications
ATTOM’s enhanced Rental AVM supports a range of business needs, including:

Real Estate Investors and Rental Operators: Screen acquisitions, evaluate rental potential, compare rental income with property values, and support rent-setting decisions.Mortgage Lenders and Insurers: Assess rental income for investment-property and DSCR loans, monitor portfolio exposure, and support loss-of-rent analysis.Real Estate Portals and AI Developers: Integrate rental estimates into property listings, investment tools, and AI-powered applications through ATTOM’s MCP Server.

Updated monthly to reflect new rental activity and changing market conditions, the enhanced Rental AVM is available through ATTOM’s APIs, bulk data licensing, Snowflake, Databricks, and MCP Server.

To learn more about ATTOM’s enhanced Rental AVM, visit the Rental AVM landing page or download the Rental AVM White Paper.

About ATTOM
ATTOM delivers AI-driven property intelligence built on the nation’s most trusted property data repository, covering 160+ million U.S. properties—99% of the population. Our engineered, multi-sourced, semantically rich real estate data spans property tax, deeds, mortgages, foreclosure, environmental risk, property conditions, natural hazards, neighborhood insights, and geospatial boundaries, rigorously validated for advanced analytics. ATTOM supports analytics, AI applications, and AI agents through flexible delivery options including APIs, bulk licensing, cloud delivery, and the MCP Server for AI-powered, agentic access to engineered property data, enabling organizations to automate analysis, power intelligent workflows, and scale property intelligence across industries.

Media Contact:
Megan Hunt
megan.hunt@attomdata.com 

Data and Report Licensing:
949.502.8313
datareports@attomdata.com

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Staypineapple to Donate to American Humane Society’s Pups4Patriots™ in Honor of Veterans Day

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Hotel brand will donate a portion of November bookings to help veterans and retired first responders receive service dogs

KIRKLAND, Wash., Nov. 3, 2026 /PRNewswire/ — In recognition of Veterans Day, Staypineapple, the national boutique hotel brand, is supporting American Humane Society’s Pups4Patriots™ program. Throughout the month of November, Staypineapple will donate up to $5,000 on behalf of its guests from every Pineapple Pup Package booking and every booking made with military or government rates. The initiative supports the placement of specially trained service dogs with veterans and retired first responders living with post-traumatic stress (PTS) and/or traumatic brain injury (TBI), at no cost to recipients.

In recognition of Veterans Day, Staypineapple will donate a portion of November bookings to the Pups4Patriots program.

“Dogs have an incredible ability to bring comfort, connection and a renewed sense of purpose to our lives,” said Dina Belon, President of Staypineapple. “We’re proud to support American Humane Society’s Pups4Patriots program and help more of our nation’s heroes access the companionship and support of a service dog. We hope our guests will join us in making a difference through booking a stay this November.”

Pups4Patriots helps remove financial barriers to obtaining a specially trained service dog, matching eligible veterans and retired first responders with dogs trained to support their specific needs.

The impact of the program can be seen in the bond between Russell, a retired U.S. Army veteran and law enforcement officer, and his service dog, Nico. Through Pups4Patriots, Nico has become an important source of support in Russell’s life. As Russell shared, “Nico has brought me a renewed sense of living that I was very much struggling to find before meeting him.”

Through this initiative, Staypineapple hopes to help connect more of America’s heroes with life-changing canine companions to those who have served our country and communities.

To learn more or book a stay, visit Staypineapple.com.

About Staypineapple
Staypineapple is a brand of boutique hotels in urban markets across the U.S., managed by Staypineapple Hotels Inc., based in Kirkland, Wash. Known for personalized service and a warm welcome for people and pets alike, Staypineapple creates unique guest experiences that offer more than just a place to stay. It is a place Where Stays Become Stories. For reservations or more information, visit Staypineapple.com or call (866) 866-7977. Follow Staypineapple on Instagram, Threads, TikTok and Facebook.

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Terakeet’s Mac Cummings Named to ADWEEK Innovator 50 List

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Recognition honors Cummings’ leadership in transforming Terakeet and building a new model for enterprise reputation management in the age of generative AI

SYRACUSE, N.Y., Nov. 3, 2026 /PRNewswire/ — ADWEEK today announced that Terakeet CEO & Co-Founder Mac Cummings has been named to the 2026 ADWEEK Innovator 50 list, which recognizes leaders driving innovation and shaping the future of marketing, media and technology.

Cummings was recognized for his leadership and vision in anticipating how generative AI would reshape enterprise reputation and positioning Terakeet to address the emerging challenges facing the Fortune 100 and its executives.

Over the past year, Cummings has led Terakeet’s transition from enterprise search marketing to global reputation management. The shift expanded the company’s focus beyond search visibility to the ways brands and executives are represented across search engines, generative AI platforms and the broader digital ecosystem.

“AI has changed what’s at stake for the Fortune 100,” said Cummings. “Reputation risk now moves across search and AI at the same time, and most brands don’t have the infrastructure to manage it. We built the Reputation Operating System to give them the technology, intelligence and expertise to understand those risks and strengthen their position before issues escalate.”

To better serve these customers, Cummings directed investments in proprietary technology, expanded the company’s expertise in cybersecurity and reputation risk, and established new strategic partnerships.

The recognition comes as Terakeet celebrates its 25th anniversary, marking a quarter century of evolution alongside major shifts in technology and the digital landscape. Cummings co-founded Terakeet in 2001 and has led the company through each stage of its growth, from its origins in search to its current focus on enterprise reputation management.

“The responsibility of a leader isn’t to protect the business model that worked yesterday but to recognize where the market is going and build for it,” Cummings said. “For Terakeet, that has meant looking past short-term fixes and building the infrastructure enterprises need to understand risk and protect trust in the AI era.”

About Mac Cummings

Mac Cummings is the CEO and Co-Founder of Terakeet. He co-founded the company in Syracuse, New York, in 2001 and has led its evolution across search marketing, digital strategy and enterprise reputation management. Today, Cummings oversees Terakeet’s business strategy and the continued development of its reputation management capabilities and technology.

About Terakeet

Terakeet is an enterprise reputation management company that helps brands and executives understand and manage how they are represented across search engines, generative AI platforms and the broader digital ecosystem. Founded in 2001, the company combines proprietary technology, intelligence and strategic expertise to support enterprise reputation programs.

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SOURCE Terakeet, LLC

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