AI Research

Newton Research, Agentic AI for Marketing Analytics, Announces $9 Million Series A

Published

1 month ago

August 5, 2025

Veteran Executive Team Has Developed Intelligent Agents to Perform Sophisticated Marketing Analytics at Scale

Boston, MA – August 5, 2025 – Newton Research today announced an oversubscribed $9 Million Series A to fund further development and expansion of their intelligent marketing analytics agents solution. Greycroft and Bessemer Venture Partners co-led the round, which also included investments from S4S Ventures, LiveRamp Ventures and Aperiam Ventures. The company was founded by John Hoctor, Matthew Emans and Steven Bennett, a successful team of entrepreneurs. Hoctor and Emans previously founded and sold both Integral Reach and Data Plus Math where Bennett was a critical team member.

“The team at Newton Research has a proven track record of developing solutions that provide a step-change in performance for marketers, including this most recent venture. The company’s intelligent agents are built for professionals to scale their use of sophisticated analytics so that every decision can be supported by data-driven insight,” said Ian Sigalow, Co-Founder and Managing Partner at Greycroft. Sigalow will join Kent Bennett of Bessemer Venture Partners on Newton Research’s Board of Directors.

Newton Research provides access to intelligent AI agents that dramatically reduce the cost and manual work required to perform sophisticated marketing analysis and measurement. Marketing analysts can use Newton’s agents across a spectrum of marketing activities from audience analysis to planning and buying, and campaign measurement.

“AI is most powerful when it is designed to help humans. The Newton Research founders deeply understand marketing analytics, and have built AI agents that make the most sophisticated capabilities accessible and affordable. No single innovation has so dramatically improved the ability for people in marketing and media to make smart decisions,” said Sir Martin Sorrell, Co-Founder S4S Ventures.

Built for companies across the marketing ecosystem including brands, agencies, publishers, data companies and technology companies, Newton Research is meant to empower people to do their jobs more effectively. Newton Research agents are trained on real world marketing use-cases, and can easily be customized. Designed to work with a company’s own data as well as an ecosystem of integrated data partners, agents learn and improve over time, delivering increasing value.

“Marketing analytics including 360 degree audience analysis, multichannel campaign orchestration, incrementality testing, marketing mix modeling and attribution have historically been costly and time consuming, limited to only the largest enterprises. Our intelligent marketing agents perform sophisticated, affordable analytics. A much wider variety of companies can now gain powerful audience and channel intelligence tools that learn and improve over time,” said John Hoctor, CEO and Co-Founder of Newton Research.

About Newton Research

Newton Research uses intelligent agents to make marketing analytics affordable and scalable. Founded by a team of successful media analytics entrepreneurs, the company provides brands, agencies, publishers, data companies and tech companies with multi-agent systems capable of handling complex marketing analytics tasks. Trained on real use cases with the ability to be completely customized, Newton’s agents learn and improve over time. Companies unlock the insights in their own data and gain access to Newton’s integrated data partners to quickly and easily perform end-to-end analytics on demand.

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Denzel Washington Rejected This Sci-Fi Box Office Hit About Artificial Intelligence

Published

22 minutes ago

September 14, 2025

Jeremy Smith

Paramount

For most of his legendary career, Denzel Washington has been able to call his tune. Studios are eager to be in business with him, and it certainly helps his cause that he enjoys making commercial films from time to time (as evidenced by his “Equalizer” movies). So, post-stardom, if he regrets making or not making a film, he only has himself to blame.

Personally, even though Denzel Washington is my favorite living actor, I do think he’s made some mistakes over the years. The formula thriller “The Bone Collector” was limp material that confined him to a bed for most of the movie, while the hospital hostage drama “John Q” was formulaic pap. And I have no idea what he was thinking when he signed on to star opposite two of our most annoying living actors (Jared Leto and Rami Malek, both of whom inexplicably have Oscars) in the serial killer thriller “The Little Things.”

But what about Washington? Does he have any regrets? The two-time Oscar winner is generally pretty happy with how his career has turned out, though there are some opportunities that, in retrospect, he wishes he’d leapt on. However, that does not include the Will Smith hit that pondered the potential pitfalls of a future where artificial intelligence is an essential part of human life.

Denzel was worried about the CGI of I, Robot

Bridget Moynahan as Dr. Susan Calvin, Alan Tudyk as Sonny, and Will Smith as Del Spooner unravel a mystery in I, Robot

20th Century Studios

In a 2004 interview with Phase9 pegged to the release of Tony Scott’s “Man on Fire” (one of the director’s finest films), Washington was asked if there were any roles to which he regretted saying, “No thanks.” “The lead in ‘The Passion of the Chris,'” joked Washington (the movie was doing blockbuster business at the time of the interview). He then turned serious and said, “The Brad Pitt role in ‘Se7en.'” Amazingly, Sylvester Stallone also turned this part down.

But with the summer of 2004 approaching, Washington noted, “I was also recently offered ‘I Robot,’ but I was worried about the robots, if they got them wrong. Actually, I would have done it, but it came down to a choice between that movie and ‘The Manchurian Candidate.'” While Alex Proyas’ adaptation of Isaac Asimov’s sci-fi book is not without merit, Washington likely would’ve found himself getting paid very well to make a movie undone in part by studio interference. As such, I’m grateful that he instead teamed up with the great Jonathan Demme to make a severely underrated adaptation of Richard Condon’s novel (which had already formed the basis for a stone-cold classic from John Frankenheimer in 1962).

Eight years after this interview, Washington would express regret at turning down the lead role in Tony Gilroy’s “Michael Clayton.” As he told GQ, “With ‘Clayton,’ it was the best material I had read in a long time, but I was nervous about a first-time director, and I was wrong. It happens.” I would absolutely love to see the Denzel Washington version of “Michael Clayton,” but George Clooney certainly aced the assignment. As for “I, Robot,” I just wish Alan Tudyk would get more credit for being the best thing in Proyas’ movie.

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Love and Artificial Intelligence – cbsnews.com

Published

1 hour ago

September 14, 2025

The Editors

Love and Artificial Intelligence cbsnews.com

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NFL player props, odds, lines: Week 2, 2025 NFL picks, SportsLine Machine Learning Model AI predictions, SGP

Published

2 hours ago

September 14, 2025

Ross Kelly

The Under went 12-4 in Week 1, indicating that not only were there fewer points scored than expected, but there were also fewer yards gained. Backing the Under with NFL prop bets was likely profitable for the opening slate of games, but will that maintain with Week 2 NFL props? Interestingly though, four of the five highest-scoring games last week were the primetime games, so if that holds, then the Overs for this week’s night games could be attractive with Week 2 NFL player props.

There’s a Monday Night Football doubleheader featuring star quarterbacks like Baker Mayfield, C.J. Stroud and Justin Herbert. The games also feature promising rookies such as Ashton Jeanty, Omarion Hampton and Emeka Egbuka. Prop lines are usually all over the place early in the season as sportsbooks attempt to establish a player’s potential, and you could take advantage of this with the right NFL picks. If you are looking for NFL prop bets or NFL parlays for Week 2, SportsLine has you covered with the top Week 2 player props from its Machine Learning Model AI.

Built using cutting-edge artificial intelligence and machine learning techniques by SportsLine’s Data Science team, AI Predictions and AI Ratings are generated for each player prop.

Now, with the Week 2 NFL schedule quickly approaching, SportsLine’s Machine Learning Model AI has identified the top NFL props from the biggest Week 2 games.

Week 2 NFL props for Sunday’s main slate

After analyzing the NFL props from Sunday’s main slate and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Lions receiver Amon-Ra St. Brown goes Over 63.5 receiving yards (-114) versus the Bears at 1 p.m. ET. Detroit will host this contest, which is notable as St. Brown has averaged 114 receiving yards over his last six home games. He had at least 70 receiving yards in both matchups versus the Bears a year ago.

Chicago allowed 12 receivers to go Over 63.5 receiving yards last season as the Bears’ pass defense is adept at keeping opponents out of the endzone but not as good at preventing yardage. Chicago allowed the highest yards per attempt and second-highest yards per completion in 2024. While St. Brown had just 45 yards in the opener, the last time he was held under 50 receiving yards, he then had 193 yards the following week. The SportsLine Machine Learning Model projects 82.5 yards for St. Brown in a 4.5-star pick. See more Week 2 NFL props here.

Week 2 NFL props for Vikings vs. Falcons on Sunday Night Football

After analyzing Falcons vs. Vikings props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Falcons running back Bijan Robinson goes Over 65.5 rushing yards (-114). Robinson ran for 92 yards and a touchdown in Week 14 of last season versus Minnesota, despite the Vikings having the league’s No. 2 run defense a year ago. The SportsLine Machine Learning Model projects Robinson to have 81.8 yards on average in a 4.5-star prop pick. See more NFL props for Vikings vs. Falcons here.

You can make NFL prop bets on Robinson, Justin Jefferson and others with the Underdog Fantasy promo code CBSSPORTS2. Pick at Underdog Fantasy and get $50 in bonus funds after making a $5 wager:

Week 2 NFL props for Buccaneers vs. Texans on Monday Night Football

After analyzing Texans vs. Buccaneers props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Bucs quarterback Baker Mayfield goes Under 235.5 passing yards (-114). While Houston has questions regarding its offense, there’s little worry about the team’s pass defense. In 2024, Houston had the second-most interceptions, the fourth-most sacks and allowed the fourth-worst passer rating. Since the start of last year, and including the playoffs, the Texans have held opposing QBs under 235.5 yards in 13 of 20 games. The SportsLine Machine Learning Model forecasts Mayfield to finish with just 200.1 passing yards, making the Under a 4-star NFL prop. See more NFL props for Buccaneers vs. Texans here.

You can also use the latest FanDuel promo code to get $300 in bonus bets instantly:

Week 2 NFL props for Chargers vs. Raiders on Monday Night Football

After analyzing Raiders vs. Chargers props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Chargers quarterback Justin Herbert goes Under 254.5 passing yards (-114). The Raiders’ defense was underrated in preventing big passing plays a year ago as it ranked third in the NFL in average depth of target allowed. It forced QBs to dink and dunk their way down the field, which doesn’t lead to big passing yardages, and L.A. generally prefers to not throw the ball anyway. Just four teams attempted fewer passes last season than the Chargers, and with L.A. running for 156.5 yards versus Vegas last season, Herbert shouldn’t be overly active on Monday night. He’s forecasted to have 221.1 passing yards in a 4.5-star NFL prop bet. See more NFL props for Chargers vs. Raiders here.

How to make Week 2 NFL prop picks

SportsLine’s Machine Learning Model has identified another star who sails past his total and has dozens of NFL props rated 4 stars or better. You need to see the Machine Learning Model analysis before making any Week 2 NFL prop bets.

Which NFL prop picks should you target for Week 2, and which quarterback has multiple 5-star rated picks? Visit SportsLine to see the latest NFL player props from SportsLine’s Machine Learning Model that uses cutting-edge artificial intelligence to make its projections.

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