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Date:
November 19, 2021

Next Big Things in Tech 2021

Technology is the backbone of every company today. For the first time, Fast Company is recognizing the tech breakthroughs that promise to define the future of industries, from healthcare to agriculture to artificial intelligence.

Some of the world’s most intriguing innovations are so new that their full impact is yet to be felt. This is what we’re highlighting in the inaugural edition of Fast Company’s Next Big Things in Tech. The 65 honorees on our list, which includes global giants as well as intrepid startups, often harness research that’s fresh from the labs, applying cutting-edge tech to solve real-world problems in unexpected ways.

Our winners, which were selected by a team of 14 Fast Company writers and editors, cover a lot of ground, from financial tech to robotics to sustainability. There’s an affordable tractor that drives itself and uses sensors to improve crop yields. The first at-home COVID-19 test that uses CRISPR technology to deliver results that are both rapid and reliable. A dashboard that helps companies gain new insights into their diversity, equity, and inclusion progress based on hard data. A technology for keeping payments safe from quantum computing attacks that could instantly crack current encryption standards. And a streaming platform that turned a billion people watching a live BTS concert into a community. Other honorees take on equally ambitious challenges—and are poised to improve our lives at home, at work, and beyond.

These products, services, and technological breakthroughs may not all be on the market yet, but they’re real, and they’re reaching important milestones along the way toward availability. Their potential for the future is what excited us the most as we assessed candidates for this list.

MONEY

Anchorage Digital

FOR SOLVING CRYPTO'S CUSTODY PROBLEM

Grabango

FOR LETTING ESTABLISHED STORES DITCH CHECKOUT LINES

Mastercard

FOR PROTECTING PAYMENTS FROM QUANTUM COMPUTING ATTACKS

Orum

FOR MOVING MONEY INSTANTLY

Zest AI

FOR MAKING CONSUMER LENDING LESS RACIST

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SMART MACHINES

Azumo

FOR BUILDING SCREENS THAT STAND UP TO SUNLIGHT

Diamond Foundry

FOR CREATING A MATERIAL THAT CAN OUTPERFORM SILICON

GelSight

FOR HELPING ROBOTS DEVELOP A NEW SENSE

IBM

FOR GIVING MOORE’S LAW NEW LIFE

Lightmatter

FOR MAKING AI FASTER AND MORE SUSTAINABLE

Monarch

FOR AUTOMATING FARMS WHILE PRESERVING THE ENVIRONMENT

MTEK

FOR BRINGING NEW EFFICIENCY TO FACTORY FLOORS

Rapid Robotics

FOR TEACHING ROBOTS TO DO EVERYDAY WORK

Relativity Space

FOR 3D PRINTING ROCKETS IN MERE DAYS

SambaNova

FOR LETTING COMPANIES TRAIN AI MODELS IN THE CLOUD

Skylo

FOR SENDING THE INTERNET OF THINGS TO SPACE

Tactile Mobility

FOR ALLOWING VEHICLES TO FEEL THE ROAD BENEATH THEM

SUSTAINABILITY

Anuvia

FOR PRODUCING FERTILIZER FROM FOOD WASTE

Automotus

FOR HELPING CITIES UNDERSTAND—AND MONETIZE—VEHICLE TRAFFIC

Bowery Farming

FOR DESIGNING AN OPERATING SYSTEM FOR CROPS

Desktop Metal

FOR SAVING TREES THROUGH 3D PRINTING

Farther Farms

FOR FIGHTING FOOD WASTE WITH CO2

Form Energy

FOR CREATING THE BATTERY OF TOMORROW

GAF

FOR CLEANING UP OUR ROOFS

GM

FOR CREATING A PRACTICAL—AND SCALABLE—ELECTRIC VEHICLE BATTERY

Li-Cycle

FOR KEEPING BATTERIES OUT OF LANDFILLS

MagniX

FOR ELECTRIFYING SHORT FLIGHTS

MycoWorks

FOR REPLACING LEATHER WITH MUSHROOMS

Nuvve

FOR TURNING SCHOOL BUSES INTO BATTERIES

PepsiCo and Wint

FOR GETTING SMART ABOUT WATER CONSUMPTION

Sama and Orbisk

FOR USING AI TO REDUCE RESTAURANT FOOD WASTE

Turntide

FOR REDESIGNING MOTORS TO RUN MORE CLEANLY

Upside Foods

FOR MAKING CELL-GROWN MEAT A REALITY

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AI & DATA

ADP

FOR TURNING DATA INTO NEW DEI INSIGHTS

Arkose Labs

FOR FOILING BOTH HUMAN FRAUDSTERS AND BOTS

Beyond Identity

FOR FINDING A WAY AROUND PESKY PASSWORDS

Keyavi

FOR GIVING DATA A MIND OF ITS OWN

Microsoft and InfernoRed

FOR SECURING THE DEMOCRATIC PROCESS

NeuTigers

FOR CUTTING AI DOWN TO SIZE

PwC

FOR NIPPING AI BIAS IN THE BUD

Spherex

FOR MAKING TV AND MOVIES MORE CULTURE-AWARE

HEALTH

Biospectal

FOR MEASURING BLOOD PRESSURE THROUGH SMARTPHONES

Brightseed

FOR MAPPING PLANTS’ CHEMICAL DIVERSITY AND USING IT FOR MEDICINE

Caption Health

FOR ADDING INTELLIGENCE TO ULTRASOUNDS

ClosedLoop AI

FOR GIVING DOCTORS NEW INSIGHT INTO HEALTH OUTCOMES

Microsoft and Adaptive Biotech

FOR USING DATA TO CREATE A TEST FOR PAST COVID-19 INFECTION

Outset Medical

FOR MAKING DIALYSIS LESS OF A BURDEN

Sherlock Biosciences

FOR APPLYING CRISPR'S POWER TO COVID-19 TESTING

Synchron

FOR GETTING PEOPLE WITH PARALYSIS ONLINE

Tivic Health

FOR REDUCING SINUS PAIN THROUGH TECHNOLOGY

TruTag

FOR PREVENTING PHARMACEUTICAL SUPPLY-CHAIN FRAUD

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EXPERIENCES

Adobe

FOR PERFORMING MAGIC WITH MEGAPIXELS

Amazon

FOR DEMOCRATIZING SPECIAL EFFECTS

Arcturus

FOR RAISING THE VOLUME ON VOLUMETRIC VIDEOS

Around

FOR MAKING TRULY HYBRID MEETINGS POSSIBLE

Audio Design Desk

FOR SIMPLIFYING SOUND DESIGN

DressX

FOR OUTFITTING INFLUENCERS WITHOUT THE WASTE

Envisics

FOR STREAMLINING DISTRACTING CAR DISPLAYS

Hour One

FOR PUTTING VIRTUAL PEOPLE TO WORK

Kiswe

FOR CONNECTING FANS TO LIVE EVENTS

Leica Geosystems

FOR MINIATURIZING THE LASER SCANNER

Neurable

FOR KEEPING TABS ON OUR BRAINS' NEEDS

Pathway

FOR BRINGING WHITEBOARDS INTO THE VIRTUAL ERA

Taqtile

FOR USING AR TO MANAGE INDUSTRIAL EQUIPMENT

Tilt Five

FOR GIVING TABLE GAMES A NEW AR TWIST

Related Insights

Spherex CEO Teresa Phillips Talks Practical AI for Global Content Localization at EnTech Fest

At this year’s DEG EnTech Fest, Spherex CEO and Co-Founder Teresa Phillips joined a panel to explore one of the most practical and impactful uses of AI in entertainment today: localization.

During the session titled “Practical AI For Speed and Savings in Localization,” Phillips shared how Spherex is leveraging AI to deliver “deep video understanding” that accelerates compliance and rating decisions in over 200 markets. As she explained, understanding the context—cultural, visual, and narrative—is crucial in determining whether a piece of content is suitable for audiences worldwide.

“AI can now detect not just what happens in a scene, but how it might be interpreted in different cultural and regulatory environments,” said Phillips. For example, in Scandinavian countries, if a trusted figure, such as a clergy member, commits an unethical act onscreen, it can dramatically impact a film’s age rating. SpherexAI is trained to identify these nuanced moments, flagging them for human review when needed.

Phillips also highlighted the role of AI in augmenting human decision-making, noting that “AI agents can be trained to ask humans the right questions—like whether the drinking in a scene is casual or excessive—ensuring more consistent, scalable evaluations.”

The conversation also acknowledged the broader industry shift that AI is bringing to localization workflows—from quality control (QC) to artwork generation, compliance, and project management. With automation poised to displace some entry-level roles, Phillips raised a key question for the future: “If junior roles are the first to be automated, how do we bring new talent into the industry? We have a responsibility in our organizations to create opportunities for the next generation.”

Joining Phillips on the panel were Silviu Epure (Blu Digital Group), Chris Carey (Iyuno), Kelly Summers (The Sherlock Company), and Duncan Wain (Zoo Digital), offering a 360° view on how AI is transforming the way stories cross borders.

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Why Content Differentiation Matters More Than Ever

In today’s fragmented global media landscape, a one-size-fits-all approach no longer works. Media companies face increasing pressure to tailor their content strategies to suit diverse regulatory standards, cultural norms, and viewer expectations.To thrive, they must adopt a new mindset—content differentiation—as both a business imperative and a competitive advantage.

What Is Content Differentiation?

Content differentiation is the strategic process of customizing how media is packaged, presented, and monetized based on the context in which it is distributed. Unlike basic content localization, which focuses mainly on language and format adjustments, content differentiation goes deeper. It aligns content with the regulatory, cultural, and commercial realities of each market, platform, and audience.

The goal is to ensure that content resonates locally while maintaining global scale. Differentiation helps media companies maximize reach, reduce regulatory risk, and improve monetization—all without compromising creative intent.

Why It’s Needed Now
  • Regulatory Complexity: Governments are tightening rules around age ratings, depictions of violence, sexuality, religion, and topics of national interest. These laws vary widely across regions, creating a compliance minefield for global distributors.
  • Cultural Expectations: What works in one market can trigger backlash in another. Cultural nuances—around gender roles, family dynamics, or social taboos—shape how content is perceived and whether it’s embraced or rejected. In many cases, outdated depictions of identity, relationships, or social dynamics can resurface as flashpoints when content is distributed years later in new markets.
  • The Importance of Metadata: Streaming platforms now host massive libraries with considerable overlap in titles across services. In this environment, having accurate, detailed metadata—including production details, talent, , and advanced descriptors—is critical for making content discoverable, marketable, and ultimately profitable. Without it, even high-quality content risks being overlooked.
Meeting the Challenge with SpherexAI

Solving these challenges requires more than manual review or basic tagging—it demands a scalable, intelligent system that understands both the content itself and its contextual significance. That’s where SpherexAI comes in.

SpherexAI is a high-fidelity metadata platform built to help media and entertainment companies implement content differentiation at scale. Using multimodal AI, it analyzes every frame of video—evaluating visuals, audio, dialogue, and on-screen text—to generate rich, actionable metadata that informs compliance decisions, discovery, and monetization.

SpherexAI extends beyond basic content tagging. It analyzes material against global regulatory requirements, identifies cultural nuances and sensitivities, and detects potential risks prior to distribution. Additionally, it enhances content visibility in crowded platform environments by enriching metadata with precise descriptors, scene-level details, emotional tone analysis, and contextual insights—elements that improve content discovery and ad targeting.

Learn More

If you're ready to differentiate your content for every audience, platform, and region, SpherexAI can help. Contact us to schedule a demo or speak with our team about how metadata-driven intelligence can power your global strategy.

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NAB 2025 – Recognizing a Changed Industry

Another National Association of Broadcasters (NAB) conference is in the books, and if anything has changed in the media and entertainment industry, the conference and attendees were there to discuss it. From content evolution to changes in audience preferences to AI being everywhere, to trade uncertainty, it was a topic of conversation at NAB 2025. Official categories included: Artificial Intelligence, Cloud Virtualization, Creator Economy, Sports, and Streaming. If a general conclusion could be drawn, it’s that the legacy media business no longer cuts in today’s market, and to survive these new realities, businesses must rethink how they fit in.

Everything Is Changing

One of the biggest takeaways from NAB is the impact the creator economy is having on the industry. Dozens of panels focused on how individuals and small-team productions have upended traditional business models and economics, attracting large audiences from traditional producers while also siphoning away ad revenues and production contracts. Recognizing this trend, hundreds of exhibitors demonstrated how their products or services support all types of creators while also providing benefits to traditional media companies. The NAB also introduced two new initiatives to support this growing sector: the Creator Council and the Creator Lab.

In a keynote session, media cartographer Evan Shapiro highlighted the extent of the shift, pointing out that by 2027, the creator economy is expected to grow to half a trillion dollars, nearly doubling its value from last year ($250 million). Shapiro, recognizing the difference between the creator economy and influencers, cites their effectiveness in attracting and engaging large audiences without having to deal with “gatekeeper-led content.” His final point was that this new reality presents the M&E industry with two options: embrace it or get left behind.

Market and Regulatory Uncertainty

The current uncertainty in global trade markets and the impact of tariffs on product purchases has cast a significant chill on many exhibitors at NAB. This was especially true for those companies whose products were manufactured or included parts from impacted countries or markets (services are not yet subject to tariffs). Many companies encouraged customers to expedite purchases to take advantage of existing inventories and avoid significant cost increases as tariffs are implemented. Attendees and speakers also expressed concerns about how regulatory changes from the FCC and regulators in other countries might impact  children's television programming, the news distortion policy, technical rules (e.g., ATSC 3.0), and TV carriage rules (e.g., non-duplication, and syndicated exclusivity).

Monetization Evolves as Markets Evolve

The continued growth of OTT/FAST and the rapidly expanding creator economy means competition for eyeballs and ads will only become more intense. Evidence of this was on clear display during NAB 2025:

  • Traditional Broadcast Disruption: The rise of streaming services and changing viewer habits are challenging traditional broadcast models, necessitating a reimagining of revenue strategies.
  • Fragmented Audiences: The audience is increasingly fragmented across linear streaming, on-demand platforms, and traditional broadcast, making it more difficult for advertisers to reach consumers effectively.
  • Hybrid Models: Streaming services are increasingly adopting hybrid monetization models, such as AVOD or FAST, to supplement their subscription revenues.

A key component of all of these strategies is high-fidelity metadata. Without it, content marketing, search, and discovery, as well as contextual advertising, are much more difficult to achieve. With it, compliance, brand safety, and audience acceptance increase significantly.

AI Everywhere

Artificial Intelligence (AI) and its increasing impact on content creation, marketing, and virtual production were everywhere at NAB 2025. Nearly 300 exhibiting companies from around the world demonstrated products that included or were enhanced by AI across every phase of content production, marketing, advertising, and distribution. Among them, Spherex highlighted its flagship product, SpherexAI, and demonstrated how it is transforming global video compliance and contextual advertising through scene-level intelligence and cultural insight. It also facilitates ad placement where they will resonate and yield better audience results.

The takeaways from NAB 2025 paint a clear picture: the media and entertainment landscape is in constant flux, demanding adaptability and innovation for survival. The undeniable surge of the creator economy, coupled with market and regulatory uncertainties and the evolving monetization models driven by streaming, presents both challenges and opportunities for traditional and new players. Overlaying all of this is the pervasive influence of artificial intelligence, poised to reshape every facet of the industry.

Ultimately, NAB 2025 underscored a fundamental truth: standing still is no longer an option. The future of media and entertainment belongs to those who embrace change, leverage new technologies, and understand the shifting dynamics of both content creation and audience engagement.

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