Canvas Worldwide

Canvas Worldwide

Independent media agency offering customized marketing

Overview

Canvas Worldwide is an independent media and marketing services network that creates customized marketing plans for brands. It plans and buys media, handles communications, and offers a range of marketing services for clients across automotive, consumer brands, and nonprofits. The company combines startup-style agility with the scale of a large network, encouraging bold ideas under the motto “Make Yourself Uncomfortable.” Its goal is to help brands reimagine what’s possible in media marketing and achieve meaningful growth and standout visibility.

About Canvas Worldwide

Simplify's Rating
Why Canvas Worldwide is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Consulting

Design

Company Size

501-1,000

Company Stage

N/A

Total Funding

N/A

Headquarters

Los Angeles, California

Founded

2016

Get referred to Canvas Worldwide

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Canvas earned Adweek's 2026 Media Plan of the Year for StreetEasy on August 5.
  • Canvas's July 23, 2026 Dstillery launch strengthens its AI story for clients.
  • GT's Living Foods named Canvas media AOR on May 21, 2024, expanding non-auto revenue.

What critics are saying

  • Hyundai, Kia, Genesis, and McDonald's exposure leaves Canvas vulnerable if one client exits.
  • AI vendors like Dstillery and BrXnd commoditize Canvas's expertise if clients buy tools directly.
  • Google, Meta, and Amazon self-serve automation strips independent agencies of trading fees by 2027.

What makes Canvas Worldwide unique

  • Canvas co-developed Dstillery DS-1 in-flight optimization, giving traders real-time control on live programmatic campaigns.
  • Canvas won California Lottery media business on July 7, 2026, against 20 agencies.
  • Five Guys selected Canvas on August 14, 2026, for full-funnel growth strategy.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Pet Insurance

Disability Insurance

401(k) Retirement Plan

Unlimited Paid Time Off

Hybrid Work Options

Commuter Benefits

Life Insurance

Paid Holidays

Unlimited PTO

Remote Work Options

401(k) Company Match

Flexible Work Hours

Wellness Program

Gym Membership

Company News

Beet.TV
Aug 4th, 2026
AI is smart, but it still needs an adult in the room: Canvas Worldwide's Anita Patil-Sayed.

AI is smart, but it still needs an adult in the room: Canvas Worldwide's Anita Patil-Sayed. 4 Aug 2026 / Rob Williams AMENIA, N.Y. - Artificial intelligence may be churning out marketing insights faster than a coffee machine at Cannes Lions but Anita Patil-Sayed isn't ready to hand it the keys just yet. Speaking with Beet.TV contributor David Kaplan during the Beet Retreat Berkshires, Patil-Sayed, managing director and head of advanced analytics and measurement at Canvas Worldwide, offered a refreshingly grounded message for marketers drowning in dashboards, AI-generated recommendations and enough measurement methodologies to make anyone nostalgic for simpler times. Her advice? Stop obsessing over whether AI produced the answer and ask a far simpler question. "It's about what is the business question that we are trying to address? That is the most important," Patil-Sayed said. It's a remarkably practical response in an industry that sometimes treats every new algorithm like it just descended from a mountain carrying stone tablets. Instead, she argues that AI deserves different levels of scrutiny depending on what's at stake. Using it to optimize a campaign? Fine. Using it to steer a major strategic investment? That's where everyone should slow down and start asking uncomfortable questions. Garbage in, AI out. Patil-Sayed repeatedly returned to a point that's becoming almost unfashionable amid all the AI excitement: data still matters. Actually, it matters more than ever. "AI is just sitting on top of data, but what is the data?" she asked, urging marketers to examine whether information is comprehensive, representative and current before trusting any recommendation. That's less glamorous than talking about large language models or agentic AI. Unfortunately for conference keynote writers, it's also how real decisions get made. She suggested validating AI recommendations against other evidence, business context and additional measurement sources rather than assuming an algorithm must be correct simply because it arrived wrapped in mathematical confidence. Canvas Worldwide's role, she said, is helping clients separate genuine insight from statistical wishful thinking. Transparency isn't reading the source code. Kaplan asked whether marketers really need transparency into increasingly complex AI models. Patil-Sayed's answer was essentially: not really. Clients aren't demanding access to every line of code, she said. They're asking a much more useful question. "Should I trust this recommendation that you're asking me to act on it?" For her, transparency isn't reverse engineering algorithms. It's understanding the data behind them, the assumptions being made, the validation process, attribution windows, limitations, governance and privacy protections. In other words, marketers don't need to inspect the AI's brain. They need confidence that it isn't making expensive guesses. That also means ensuring recommendations rest on properly governed, permission-based data instead of information that wandered in from somewhere legally adventurous. Trust grows. Mistakes scale. One of Patil-Sayed's strongest observations may also be the least comforting. "Trust isn't binary. Trust is earned over time," she said. The problem is AI doesn't patiently earn trust. It scales. Good recommendations spread quickly. Bad recommendations spread just as quickly. That's why she believes validation and governance become even more important as AI accelerates. Poor assumptions hidden inside a fast-moving model can create bad business decisions at industrial speed. In fact, Patil-Sayed admitted that's exactly what keeps her awake. Fortunately for her clients, insomnia apparently counts as quality assurance. Making sense of measurement chaos. If media fragmentation used to be marketers' biggest headache, Patil-Sayed believes measurement fragmentation has gladly accepted the promotion. Today's marketers juggle marketing mix modeling, incrementality testing, attribution, brand lift studies, platform analytics and AI-generated insights, each answering different questions. Rather than forcing every methodology into one magical metric that promises to explain the universe, Canvas focuses on synthesizing them into a coherent narrative. Data storytelling becomes the bridge. Each measurement tool contributes evidence from its own perspective, while analysts interpret how those pieces fit together to support actual business decisions. AI helps accelerate that synthesis by processing massive volumes of information far faster than humans could manage alone, she said. Humans still have a job. Perhaps the most reassuring moment came when Kaplan asked where people still fit into increasingly automated measurement. Patil-Sayed's answer probably disappointed anyone hoping AI would replace every analytics meeting. "As AI becomes more capable, we need more human judgment to keep it within its guardrails," she said. Canvas organizes its AI strategy using what it calls a Hero-Hub-Hygiene framework. "Hygiene" automates repetitive tasks like gathering data, interrogating dashboards and detecting anomalies. "Hub" democratizes insights by putting analytics into the hands of strategists and activation teams instead of keeping them trapped inside analytics departments. "Hero" uses AI to create strategic advantages through advanced measurement capabilities. Throughout all three layers, Patil-Sayed emphasized one principle that may become increasingly valuable as AI capabilities expand. Canvas embraces AI, she said, but "we're not outsourcing human judgment." AI supports decisions. It doesn't replace the people responsible for making them. For an advertising industry currently trying to decide whether artificial intelligence is a miracle worker, an intern or both, that's probably the healthiest conclusion of all. You're watching coverage from Beet Retreat Berkshires 2026. For more videos from this event, please visit this page.

The ABM
Jul 24th, 2026
Dstillery, Canvas Worldwide bring agentic AI to live campaigns.

Dstillery, Canvas Worldwide bring agentic AI to live campaigns. Agentic AI is making real advancements in media buying, but it is still in its infancy. To date, AI agents have handled important tasks such as deal discovery, audience discovery, and basic campaign activation. With this announcement, agentic AI takes on one of the most time-consuming, labor-intensive parts of media buying: optimizing campaigns in-flight. Dstillery, the predictive AI company, announced an agentic advertising partnership with Canvas Worldwide, the second-largest U.S. independent media agency. As an early design and innovation partner, Canvas Worldwide has worked alongside Dstillery to help shape agentic solutions like Dstillery's DS-1 platform to improve every part of the end-to-end media investment workflow, and is now extending that innovation to campaign optimization with the first in-flight agentic optimization of a live programmatic campaign. Rather than replacing traders, DS-1 was designed to augment their expertise by surfacing optimization opportunities continuously instead of waiting for scheduled reporting cycles. Co-Developed AI optimization for media workflows. The optimization capability was co-developed by cross-functional teams from both organizations, bringing together Dstillery's AI expertise with Canvas Worldwide's AI Applied Research & Technology group, led on the development side by Developer Lead Britain Eriksen, whose frontline experience helped inform how the solution fits into real-world media workflows. The workflow was designed and refined alongside Canvas traders to mirror how media teams actually evaluate campaign performance while reducing repetitive tasks. How DS-1 improves in-flight campaign optimization. Before DS-1, optimization was a manual chore. Traders pulled reports on a weekly or monthly cadence and judged by hand what was working, what wasn't, and what to change, and by the time a problem showed up in a report, it had already cost impressions and budget. With DS-1, campaign performance is monitored continuously. DS-1 identifies which parts of a campaign are outperforming, takes learnings from them, and recommends refinements to lift the parts that are lagging. The trader can accept, reject, or tune every recommendation, keeping full control while DS-1 makes sure they're looking at the right opportunity at the right time. "There is no shortage of conversations about how AI could transform our industry. At Canvas, we've been focused on moving beyond the conversation to thoughtfully apply agentic AI to real media investment workflows," explains Sally Lee, SVP, Programmatic and Activation Technologies at Canvas Worldwide. "Our partnership with Dstillery reflects that philosophy - using AI where it creates measurable value and amplifies strategic work for clients, while keeping our experts at the center of every investment decision." Supporting the next phase of ai-powered media buying. For Canvas Worldwide, in-flight optimization represents the next phase of a broader AI strategy focused on embedding agentic intelligence throughout the media buying process. That includes everything from planning and activation to optimization, all with human expertise remaining at the center of every decision. "Campaign optimization is one of the most manual parts of a media buyer's job, especially when you're managing multiple campaigns across multiple brands," said Mark Jung, Head of AI Products at Dstillery. "DS-1 gives traders that time back, and more importantly, it helps them make better decisions, faster to drive outcomes for the brands they serve." To share your insights, please write to ABM partnership at [email protected]

Associated Press
Jul 23rd, 2026
Canvas Worldwide partners with Dstillery to deploy agentic AI for live campaign optimisation

Dstillery has partnered with Canvas Worldwide to deploy DS-1, an agentic AI platform, for real-time campaign optimisation on live programmatic advertising campaigns. This marks the first in-flight agentic optimisation in the industry. DS-1 continuously monitors campaign performance and recommends refinements, rather than relying on weekly or monthly manual reviews. Traders retain full control, able to accept, reject, or adjust each recommendation. Canvas Worldwide, the second-largest independent US media agency, collaborated with Dstillery to develop the optimisation capability. The workflow was designed alongside Canvas traders to fit real-world media processes whilst reducing repetitive tasks. Sally Lee, SVP of Programmatic and Activation Technologies at Canvas Worldwide, emphasised the focus on applying agentic AI to create measurable value whilst keeping human experts central to investment decisions.

The Real Deal
Apr 1st, 2026
Goldman Sachs provides $80M refi for Marina Del Rey office campus.

Goldman Sachs provides $80M refi for Marina Del Rey office campus. Continental, Mar Ventures development houses World Surf League HQ, Electronic Arts offices A creative office campus in Marina Del Rey received $80 million in refinancing from Goldman Sachs. Continental Development and Mar Ventures, owners of the Del Rey Campus property, secured an $80 million first mortgage loan from Goldman Sachs, Commercial Observer reported. Goldman Sachs' five-year, fixed-rate, interest-only loan refinances the development's construction loan. The 162,031-square-foot complex spans three buildings and was completed roughly six years ago. The World Surf League has its headquarters at the Del Rey Campus, and video game giant Electronic Arts also has an outpost at the property at 4800 Alla Road. Centrl Office, a Portland, Oregon-based co-working operator, also has a location here. Del Rey Campus offers tenants both full-floor and multi-tenant buildouts across all three buildings. In addition to offices, the property also houses a cafe, a fitness center with men's and women's locker rooms as well as secured bicycle and surfboard storage areas. Sonnenblick-Eichner arranged the financing, which principal David Sonnenblick said is "indicative of the availability in today's market of fixed-rate capital for institutional-quality office buildings," according to Commercial Observer. In the fourth quarter, the Westside of Los Angeles led the region with the most office leasing activity in Greater L.A. The area accounted for more than 27 percent of total leases, according to CBRE's fourth-quarter report. The submarket notched a 22.6 percent vacancy rate, outdoing most other submarkets in the region, especially downtown Los Angeles. On the other side of Los Angeles International Airport from Marina Del Rey, El Segundo is emerging as a preferred destination for office tenants looking for space. Media marketing agency Canvas Worldwide, for example, is relocating its headquarters from Playa Vista to El Segundo, expanding the agency's office space by 48 percent, from 36,000 square feet to 68,300 square feet. Last summer, food robotics startup Shinkei Systems agreed to double its headquarters space in the Westside city with a 15,000-square-foot lease at the Standard Works industrial campus. KPMG leased 50,000 square feet at the Plaza at Continental Park office complex at 2101 Rosecrans Avenue as part of its office shakeup last month. - Chris Malone Méndez

Cint
Feb 12th, 2026
What are data clean rooms and why do they matter?

What are data clean rooms and why do they matter? February 12, 2026 Kathryn Failon Introduction. A data clean room journey. My data clean room journey began at the 2024 RampUp conference in San Francisco, which is where I first started hearing chatter about the subject in earnest. This can be attributed in part to the event host, LiveRamp, a data collaboration platform, having acquired Habu, a cross-cloud clean room specialist, to the tune of $200M just a few weeks prior. For an industry that had been pretty quiet on the mergers and acquisitions front in recent years, that was certainly one way to get people talking. Kudos to their marketing and PR teams on that one. While the deal was not isolated insofar as companies advertising their investments in this fresh on the scene technology, it was one of the largest to date. Companies like AppsFlyer, a mobile marketing analytics platform, and Optable, an identity management platform, had announced data clean room capabilities in 2022, and Amazon's AWS Clean Rooms entered GA in March 2023. But the acronym DCR - and this is an industry that loves acronyms - didn't really enter the mainstream lexicon until 2024. That was the year when Netflix, Roku, Disney, and NBCUniversal began publicizing their partnerships with cloud-based data platform Snowflake. It was also when Google's clean room solution BigQuery entered Google Analytics. Data Intelligence platform Databricks also launched with Samsung Ads in Australia and announced an agency partnership with Canvas Worldwide. Fast forward to April 2025, and WPP purchased clean room start-up InfoSum for a whopping $150M. Investments like that made it clear that DCRs were here to stay. Although I have taken a personal interest in the subject over the past few years to help set up Cint's first DCR workflow with a client, they have yet to fully infiltrate the daily lives of my colleagues, team members, and clients. When asked to describe what a clean room actually is, I've been met with many puzzled looks and uncertain responses to the effect of "something to do with privacy and data," which is not that dissimilar from how my parents would describe my job to anyone who asks them what it is that I do for work. As Cint AB start 2026, and as more companies look to collaborate with disparate data sets in a manner that is privacy compliant, a refresh is beneficial: What is a data clean room, and why are they important? And then more specifically, how does Cint use data clean rooms now, and what is next for Cint on the clean room front? There's no doubt that the media measurement landscape will be impacted, and I look forward to navigating these changes with everyone in the months to come. Let's dive in. What is a data clean room? A phrase that I learned over the summer that resonated for me is that a data clean room is a "strategic collaboration platform." It offers a privacy-safe environment where user-level data is anonymized, which allows all parties to rest assured that they can combine datasets while remaining in compliance with various state and country laws. Why are data clean rooms important? As Cint AB has established, data clean rooms are essential tools for privacy-compliant collaboration between organizations looking to share insights, allowing customers to merge and analyze partner datasets for more detailed consumer insights. Data clean rooms are essential tools for privacy-compliant collaboration between organizations looking to share insights With securely combined data on their side, customers can accurately measure campaign return on investment (ROI), deepen and refine specific audience targeting, and ultimately uncover deeper customer attributes and behaviors without compromising user privacy. Not only do well-functioning data clean rooms offer organizations and their customers protection from falling foul of aforementioned privacy regulations, but they also provide the added benefit (to advertisers and marketers alike) of enriching data. This gives customers an even better chance to adapt their campaign strategies and ensure that optimization is both possible and seamless. How does Cint use data clean rooms? Cint currently supports clients who are interested in implementing data clean room workflows and collaborating within these environments. Through its integrations team, Cint AB work closely with partners to ensure data is accessed and analyzed in a way that aligns with both client objectives and privacy requirements. Cint is equipped to help clients navigate the technical and operational complexities of clean room adoption. As demand continues to grow, Cint AB remain focused on making these workflows scalable for its partners. Through its integrations team, Cint AB work closely with partners to ensure data is accessed and analyzed in a way that aligns with both client objectives and privacy requirements. What's next for Cint and clean rooms? Data clean rooms may have entered the industry conversation through splashy acquisitions and high-profile partnerships, but their staying power is rooted in something far more fundamental: the need to collaborate with data in a way that is scalable, privacy-first, and future-proof. As regulations tighten and third-party identifiers continue to erode, the ability to safely combine insights across organizations is no longer a nice-to-have, it's a requirement. While the technology itself can feel abstract or intimidating, clean rooms ultimately facilitate insights without compromising trust. As adoption continues to grow across the media landscape, understanding how and when to use clean rooms will become an increasingly critical skill set. Cint is well-positioned for this next phase. With experience supporting clean room workflows, Cint AB is committed to helping clients navigate this evolving landscape with confidence. The clean room conversation may only have gone mainstream in the last couple of years, but its impact on measurement is just getting started, and Cint AB is excited to be part of what comes next. "With experience supporting clean room workflows, we're committed to helping clients navigate this evolving landscape with confidence. The clean room conversation may only have gone mainstream in the last couple of years, but its impact on measurement is just getting started, and we're excited to be part of what comes next." Kathryn Failon VP, Data & Measurement, Cint

Recently Posted Jobs

Sign up to get curated job recommendations

Canvas Worldwide is Hiring for 18 Jobs on Simplify!

Find jobs on Simplify and start your career today

Don't see your dream role? Check out thousands of other roles on Simplify. Browse all jobs →