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The Best AI Health Apps in 2025: Smart Tools for Better Wellbeing

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Health Apps: The Future of Wellness

Health apps have come a long way from just counting steps and tracking calories. Now, AI is making them faster, smarter, and more useful in everyday life.

Today’s best AI-driven apps can analyze patterns, adapt to user needs, and even offer real-time support. They can scan a mole and flag potential skin cancer risks, create personalized workout plans based on your recovery, or guide you through therapy exercises.

But with hundreds of options flooding the app stores, which ones actually deliver on their promises?

After extensive reviewing and trawling over real user feedback, we found 10 apps that stand out for the features they offer, their thoughtful integration of AI, and their practical usability. Let’s dive in and explore them in detail:

Skanna: Scanning and Analyzing Ingredients

What it is: Skanna is an AI-powered app that scans product barcodes to analyze ingredients and provide health insights.

Ideal for: Health-conscious shoppers, people with allergies, sustainability-minded consumers

Unique feature: Real-time ingredient analysis and safety alerts

How it works

  • Creates personalized alerts for ingredients you need to avoid – from allergens to specific additives
  • Translates complex chemical names into plain English, explaining their purpose and potential risks
  • Identifies hidden forms of ingredients (like alternate names for allergens or sweeteners)
  • Builds a custom safety profile based on your specific sensitivities and preferences
  • Save products you like or want to avoid for future shopping

The bottom line

Skanna brings welcome transparency to daily shopping choices, making it easier to make informed decisions about the products you buy – whether you’re watching your diet, avoiding allergens, or pursuing a more sustainable lifestyle.

Ada: Clinically-Backed Health Assistance

What it is: Ada is a conversational AI health assistant that helps assess symptoms and guide health decisions

Ideal for: Anyone seeking initial health guidance or symptom-checking

Unique feature: Doctor-trained AI that speaks your language

Aaptiv: AI-Driven Fitness Coaching

What it is: Aaptiv is an AI-powered fitness coaching app that provides personalized workouts and guidance

Ideal for: Anyone seeking a more effective and engaging workout experience

Unique feature: Audio-guided sessions and real-time adjustments

Headspace (Ebb): AI Mindfulness Guide

What it is: Headspace is an AI-enhanced meditation and mental wellness companion

Ideal for: Anyone seeking guided meditation and emotional support

Unique feature: Personalized mindfulness recommendations with clinical backing

Choosing an AI Health App That Works For You

These 10 apps slot into your routine and make things easier. They help you track symptoms without overloading you with medical jargon, plan workouts without endless guesswork, or give you mental health support when you don’t have time (or energy) for therapy.

Conclusion

Pick one, try it out, and if it makes life easier, keep it. If not, there are other avenues to explore – because the best health tools are the ones you’ll actually use.

FAQs

Q: What makes these apps stand out from others?
A: They offer unique features, such as AI-powered ingredient analysis, personalized workout plans, and clinical-backed health guidance.

Q: Are these apps suitable for everyone?
A: While these apps cater to a wide range of users, some may be more suitable for specific needs, such as Skanna for health-conscious shoppers or Aaptiv for fitness enthusiasts.

Q: Can I try them out before committing?
A: Yes, most apps offer free trials or demos, allowing you to test their features and see what works best for you.

Rayman 3: A Stunning Rebirth

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Unreal Engine Remakes of Classic Games: A New Rayman 3 Fan Remake

Unreal Engine remakes of classic games are all the rage right now. We’ve already seen an unofficial Unreal Engine Super Mario World in 3D and an UE Zelda Ocarina of Time remake. There’s also Konami’s official upcoming MGS Snake Eater remake. Personally, I’m holding out for an Unreal Engine Dizzy remake (come on, Codemasters!), but in the meantime, we have another delight. A dedicated fan is working on a Rayman 3 remake using Epic Games’ engine.

Rayman 3 Remake in the Works

Rayman 3: Hoodlum Havoc was released by UbiSoft in 2003 (yes, over twenty years ago!). The YouTuber Marked as Unreal has been working to bring the graphics up to date with much more detail and realism than what was possible for the GameCube, PlayStation 2, Xbox, and Windows PC back in the day.

Development Progress

Mark says it took eight months to create the initial eight-minute gameplay teaser above. Since then, he’s continued working on the game, providing regular updates on YouTube. The results include more detailed and immersive environments and more expressive characters while retaining the spirit and art direction of the original.

Impressive Fan Remake

It’s hugely impressive for a fan remake, from gameplay to cutscenes and enemies. It should really be in our roundup of the best Unreal Engine projects from last year.

Community Reaction

Revisiting an old classic can be risky – there’s a lot of people to please or upset, not to mention the risk of a cease and desist. But fans of the original game are reacting positively. “This looks INCREDIBLY polished. You can really feel all the heart and work that went into this," one person comments on the YouTube video. "For a solid minute I forgot I am seeing a fan remake. This looks like the way I remember Rayman 3," another person wrote.

Additional Resources

Mark has also posted the graphics comparison video below and has posted dev log videos showing the models, C++ and Blueprint code he made for the game.

Conclusion

The Rayman 3 fan remake is an impressive achievement, showcasing the capabilities of Unreal Engine and the dedication of its creators.

Frequently Asked Questions

Q: How long did it take to create the initial gameplay teaser?

A: Eight months

Q: What is the fan remake’s current status?

A: The game is still in development, with regular updates posted on the creator’s YouTube channel.

Q: Is the remake officially sanctioned by UbiSoft?

A: No, this is an unofficial fan remake.

Q: Can I play the game?

A: Not yet, the game is still in development, but you can watch the gameplay teasers and updates on the creator’s YouTube channel.

Amazon Q Business simplifies integration of enterprise knowledge bases at scale

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Enhancing Operations with Amazon Q Business: A Knowledge Base Solution

In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. Amazon Q Business, a new generative AI-powered assistant, can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in an enterprise’s systems.

Large-scale data ingestion is crucial for applications such as document analysis, summarization, research, and knowledge management. These tasks often involve processing vast amounts of documents, which can be time-consuming and labor-intensive. However, ingesting large volumes of enterprise data poses significant challenges, particularly in orchestrating workflows to gather data from diverse sources.

In this post, we propose an end-to-end solution using Amazon Q Business to simplify integration of enterprise knowledge bases at scale.

Enhancing AWS Support Engineering Efficiency

The AWS Support Engineering team faced the daunting task of manually sifting through numerous tools, internal sources, and AWS public documentation to find solutions for customer inquiries. For complex customer issues, the process was especially time-consuming, laborious, and at times extended the wait time for customers seeking resolutions. To address this, the team implemented a chat assistant using Amazon Q Business. This solution ingests and processes data from hundreds of thousands of support tickets, escalation notices, public AWS documentation, re:Post articles, and AWS blog posts.

By using Amazon Q Business, which simplifies the complexity of developing and managing ML infrastructure and models, the team rapidly deployed their chat solution. The Amazon Q Business pre-built connectors like Amazon Simple Storage Service (Amazon S3), document retrievers, and upload capabilities streamlined data ingestion and processing, enabling the team to provide swift, accurate responses to both basic and advanced customer queries.

Solution Overview

The following architecture diagram represents the high-level design of a solution proven effective in production environments for AWS Support Engineering. This solution uses the powerful capabilities of Amazon Q Business.

Amazon Q Business supports three user types as part of identity and access management:

* Service user – An end-user who accesses Amazon Q Business applications with permissions granted by their administrator to perform their job duties
* Service administrator – A user who manages Amazon Q Business resources and determines feature access for service users within the organization
* IAM administrator – A user responsible for creating and managing access policies for Amazon Q Business through AWS IAM Identity Center

The following workflow details how a service user accesses the application:

1. The service user initiates an interaction with the Amazon Q Business application, accessible through the web experience, which is an endpoint URL.
2. The service user’s permissions are authenticated using IAM Identity Center, an AWS solution that connects workforce users to AWS managed applications like Amazon Q Business. It enables end-user authentication and streamlines access management.
3. The authenticated service user submits queries in natural language to the Amazon Q Business application.
4. The Amazon Q Business application generates and returns answers drawing from the enterprise data uploaded to an S3 bucket, which is connected as a data source to Amazon Q Business. This S3 bucket data is continuously refreshed, making sure that Amazon Q Business accesses the most current information for query responses by using a retriever to pull data from the index.

Large-scale Data Ingestion

Before ingesting the data to Amazon Q Business, the data might need transformation into formats supported by Amazon Q Business. Furthermore, it might contain sensitive data or personally identifiable information (PII) requiring redaction. These data ingestion challenges create a need to orchestrate tasks like transformation, redaction, and secure ingestion.

Data Ingestion Workflow

To facilitate orchestration, this solution incorporates AWS Step Functions. Step Functions provides a visual workflow service to orchestrate tasks and workloads resiliently and efficiently through built-in AWS integrations and error handling. The solution uses the Step Functions Map state, which allows for parallel processing of multiple items in a dataset, thereby efficiently orchestrating workflows and speeding up overall processing.

The following diagram illustrates an example architecture for ingesting large-scale data into Amazon Q Business:

Conclusion

In this post, we demonstrated how to build a knowledge base solution by integrating enterprise data with Amazon Q Business using Amazon S3. This approach helps organizations improve operational efficiency, reduce response times, and gain valuable insights from their historical data. The solution uses AWS security best practices to promote data protection while enabling teams to create a comprehensive knowledge base from various data sources.

Whether you are managing support tickets, internal documentation, or other business content, this solution can handle multiple data sources and scale according to your needs, making it suitable for organizations of different sizes. By implementing this solution, you can enhance your operations with AI-powered assistance, automated responses, and intelligent routing of complex queries.

Try this solution with your own use case, and let us know about your experience in the comments section.

About the Authors

Omar Elkharbotly is a Senior Cloud Support Engineer at AWS, specializing in Data, Machine Learning, and Generative AI solutions. With extensive experience in helping customers architect and optimize their cloud-based AI/ML/GenAI workloads, Omar works closely with AWS customers to solve complex technical challenges and implement best practices across the AWS AI/ML/GenAI service portfolio.

Vania Toma is a Principal Cloud Support Engineer at AWS, focused on Networking and Generative AI solutions. He has deep expertise in resolving complex, cross-domain technical challenges through systematic problem-solving methodologies. With a customer-obsessed mindset, he leverages emerging technologies to drive innovation and deliver exceptional customer experiences.

Bhavani Kanneganti is a Principal Cloud Support Engineer at AWS. She specializes in solving complex customer issues on the AWS Cloud, focusing on infrastructure-as-code, container orchestration, and generative AI technologies. She collaborates with teams across AWS to design solutions that enhance the customer experience.

Mattia Sandrini is a Senior Cloud Support Engineer at AWS, specialized in Machine Learning technologies and Generative AI solutions, helping customers operate and optimize their ML workloads. With a deep passion for driving performance improvements, he dedicates himself to empowering both customers and teams through innovative ML-enabled solutions.

Kevin Draai is a Senior Cloud Support Engineer at AWS who specializes in Serverless technologies and development within the AWS cloud. Kevin has a passion for creating solutions through code while ensuring it is built on solid infrastructure. Outside of work, Kevin enjoys art and sport.

Tipu Qureshi is a Senior Principal Engineer leading AWS. Tipu supports customers with designing and optimizing their cloud technology strategy as a senior principal engineer in AWS Support & Managed Services. For over 15 years, he has designed, operated, and supported diverse distributed systems at scale with a passion for operational excellence. He currently works on generative AI and operational excellence.

Elon Musk to Abandon OpenAI Bid if Company Keeps Corporate Structure

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Elon Musk Withdraws $97.4 Billion Bid to Control OpenAI if Corporate Structure Change is Dropped

Background on the Feud

Elon Musk and OpenAI’s Chief Executive, Sam Altman, have been engaged in a yearslong feud over the future of artificial intelligence. The feud dates back to 2018, when Musk left OpenAI after a battle for control.

The Current Situation

On Monday, Musk and a consortium of investors offered to buy the assets of the nonprofit that controls OpenAI, valuing the company at $97.4 billion. However, the OpenAI board of directors questioned the bid’s rationale and accused Musk of hypocrisy. In response, Musk’s legal team filed a new court document stating that they would drop the bid if OpenAI’s board of directors agreed to preserve the mission of the nonprofit and "take the ‘for sale’ sign off its assets."

The Feud and Its History

The nonprofit retained control of OpenAI after Musk left the organization. In 2015, Musk, Altman, and others founded OpenAI as a nonprofit to develop and promote artificial intelligence. When Musk left in 2018, Altman and his colleagues began working on a plan to shift control of the company from the nonprofit to OpenAI’s investors.

The Proposed Restructuring

To separate OpenAI from the nonprofit, Altman and his colleagues must provide compensation. OpenAI might pay the nonprofit a fee or give it a minority stake in the company. However, the nonprofit’s assets have not been given a value, and Musk’s bid is trying to set one. This could mean that OpenAI’s for-profit arm would have to spend more to gain independence from the nonprofit.

OpenAI’s Plans

OpenAI is unlikely to drop its plan to separate from the nonprofit. Under the terms of its last investment round, it must shift control of the company away from the nonprofit in less than two years. Otherwise, its funding will convert into debt.

Musk’s Lawsuit

Musk is also suing OpenAI to try to block its plans to restructure.

Conclusion

The feud between Elon Musk and Sam Altman over the future of OpenAI is ongoing. Musk’s withdrawal of his bid to control OpenAI if the company drops its plan to change its corporate structure adds a new layer of complexity to the situation.

FAQs

Q: What is the current value of OpenAI?
A: The current value of OpenAI is $97.4 billion.

Q: What is the purpose of the restructuring plan?
A: The restructuring plan aims to shift control of OpenAI from the nonprofit to its investors.

Q: What is the current status of the feud between Musk and Altman?
A: The feud is ongoing, with both parties engaged in a legal battle over the future of OpenAI.

Q: What is the outcome of Musk’s bid to control OpenAI?
A: Musk’s bid to control OpenAI is currently withdrawn if the company drops its plan to change its corporate structure.

Africa: Nothing Has Changed

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Africa – A Forgotten Land

A Continent Plagued by Wars, Hunger, and Exploitation

Africa. Wars. Hunger. Exploitation. Forgotten land. I think the pictures are self-explanatory, but the one with bitcoin came up instead of my request for a dollar coin. I guess it’s a sign of time. For good or for the best?

The Reality of Africa

Africa is a continent with a rich history, diverse cultures, and breathtaking natural beauty. However, it is also a continent plagued by wars, hunger, and exploitation. The pictures above depict the harsh realities of life in Africa, where wars, poverty, and hunger are a daily struggle for many.

Images of Suffering

The images above show the devastating effects of war, poverty, and hunger on the people of Africa. They are a stark reminder of the challenges that many people face on a daily basis, and the need for action to address these issues.

A Call to Action

The pictures above are a call to action, a reminder that we must not turn a blind eye to the suffering of others. We must work together to address the root causes of poverty, hunger, and war, and to create a more just and equitable world for all.

Conclusion

Africa is a continent with a rich history, diverse cultures, and breathtaking natural beauty. However, it is also a continent plagued by wars, hunger, and exploitation. The pictures above are a reminder of the harsh realities of life in Africa, and the need for action to address these issues.

FAQs

Q: What is the situation like in Africa?
A: The situation in many parts of Africa is dire, with wars, poverty, and hunger being major challenges.

Q: What can be done to address these issues?
A: There are many ways to address these issues, including providing humanitarian aid, supporting local organizations, and working to promote peace and stability in the region.

Q: Why should I care about Africa?
A: Africa is a continent with a rich history, diverse cultures, and breathtaking natural beauty. It is also a continent that is home to many people who are struggling to survive, and who need our help. By caring about Africa, we can make a positive impact on the lives of those who call it home.

A Major Gemini Feature is Now Free

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A Day After Upgraded Conversation Capabilities, Google Rolls Out More Updates to Its AI

A Gemini Advanced Feature is Now Free for Everyone

A day after announcing upgraded conversation capabilities for Gemini, Google is rolling out more updates to its AI. All users are gaining access to a useful feature that was formerly available only to paid subscribers, and paid users are receiving a feature that helps continue previous conversations.

File Analysis Now Available to All Users

First up is a paid feature that’s now making its way to all users. Last fall, Google introduced the ability to analyze files to Gemini, a feature that was exclusive to Gemini Advanced subscribers who paid $20 a month. That capability is now rolling out to free users on both the Gemini app and the web-based version of Gemini.

You’ll know you have the new feature when you see "Upload files to get quick summaries and actionable insights." You can upload a file from your Google Drive or directly from your device — up to 10 files at a time or one code folder with a maximum of 1,000 files.

After uploading your files, you can ask questions about the content, get a summary of the content, or create a chart from a spreadsheet.

File Analysis Supports a Number of File Types

Gemini analysis supports a number of file types, including:

  • TXT plain text
  • Code files including C, CPP, PY, JAVA, PHP, SQL, and HTML
  • Document files like DOC, DOCX, PDF, RTF, DOT, DOTX, HWP, HWPX, documents created in Google Docs
  • Tabular data files CSV, TSV
  • Spreadsheet files XLS, XLSX, and spreadsheets created in Google Sheets

File Analysis Only Works with Gemini 2.0 Flash

Subscribers Can Now Resume Previous Conversations

Starting today, Google says, Gemini Advanced can recall your past chats to provide more helpful responses. You’ll be able to ask a question about a previous conversation, get a summary of a previous conversation, or just pick right back up where you left off. Gemini will use information from previous talks to generate its response.

How It Works

If the idea of AI remembering things you’ve said creeps you out a little, you can easily review, delete, or decide how long to keep your chat history (or turn off Gemini Apps Activity completely) in the My Activity setting.

Conclusion

Google’s latest updates to its AI showcase its commitment to improving the user experience and making its technology more accessible to a wider range of users.

Frequently Asked Questions

Q: What is the new feature that’s being rolled out to all users?
A: The new feature is the ability to analyze files to Gemini, which was previously exclusive to Gemini Advanced subscribers who paid $20 a month.

Q: What types of files can be analyzed with Gemini?
A: Gemini analysis supports a number of file types, including TXT, code files, document files, tabular data files, and spreadsheet files.

Q: How many files can be uploaded at one time?
A: Up to 10 files at a time or one code folder with a maximum of 1,000 files can be uploaded.

Q: Is file analysis only available for Gemini 2.0 Flash?
A: Yes, file analysis only works with Gemini 2.0 Flash.

Apple’s AirPods Slashed 20% for Presidents’ Day Sale

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Today’s Best Apple AirPods Deals

The Presidents’ Day Sales

The Presidents’ Day sales are here, offering some of the best savings on tech that we’ve seen since Black Friday. That includes $30 off AirPods 4 at Amazon, making them as cheap as $99 for the standard model. This matches the record low price we saw in early December.

What’s New in AirPods 4?

Apple’s latest inner-ear headphones come in two versions – with or without active noise-cancellation. Both versions have smaller stems than previous models. Plus, bass, instrument separation, and spatial audio have all been improved since the AirPods 3. If you want the best audio quality of any inner-ear AirPods, the AirPods Pro 2 are also close to their lowest price ever.

Today’s Best Apple AirPods Deals

Standard AirPods 4

  • Amazon: $99 (was $129)
  • Best Buy: $109 (was $129)
  • Walmart: $109 (was $129)

AirPods Pro 2

  • Amazon: $199 (was $249)
  • Best Buy: $229 (was $249)
  • Walmart: $229 (was $249)

Not in the US? See the Best Apple AirPods Prices in Your Region Below

International Prices

  • UK: £89 (was £119) for AirPods 4, £229 (was £249) for AirPods Pro 2
  • Australia: AU$139 (was AU$179) for AirPods 4, AU$299 (was AU$349) for AirPods Pro 2
  • Canada: CA$129 (was CA$169) for AirPods 4, CA$249 (was CA$299) for AirPods Pro 2

Frequently Asked Questions

Q: What is the difference between the AirPods 4 and the AirPods Pro 2?
A: The AirPods Pro 2 have active noise-cancellation, while the AirPods 4 do not.

Q: Can I use these deals on other products from Apple?
A: No, these deals are specific to the AirPods 4 and AirPods Pro 2 models.

Q: Are these prices available in-store or online?
A: These prices are available online at the mentioned retailers, but availability may vary in-store.

OpenAI rejects Elon Musk’s bid.

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OpenAI Rejects Elon Musk’s $97.4 Billion Offer

Background

OpenAI, a nonprofit organization that governs the company, has rejected a $97.4 billion offer from billionaire Elon Musk to buy the organization. The bid was made through a group of investors, including xAI, Musk’s AI company.

Board’s Response

In a statement, Bret Taylor, the board chair, described Musk’s bid as "an attempt to disrupt his competition." The board unanimously rejected the offer, stating that OpenAI is not for sale and that any potential reorganization will strengthen the nonprofit’s mission to ensure that artificial general intelligence benefits all of humanity.

Letter to Musk’s Lawyer

OpenAI sent a letter to Musk’s lawyer, Marc Toberoff, stating that the bid was "not in the best interests of the mission." The letter emphasized that the organization’s priority is to ensure that AI benefits all of humanity, not to serve the interests of a single individual.

Musk’s Lawsuit

Musk, an OpenAI co-founder, has been involved in a lawsuit against the company and its CEO, Sam Altman, alleging that OpenAI engaged in anticompetitive behavior and fraud. This lawsuit is ongoing, and its outcome will likely have significant implications for OpenAI’s future.

Restructuring Plans

OpenAI is currently undergoing a restructuring process, which involves converting from a "capped-profit" structure to a traditional for-profit company. However, Musk is seeking to enjoin this conversion through the lawsuit.

Conclusion

The rejection of Musk’s offer by OpenAI’s board of directors is a significant development in the ongoing saga surrounding the organization. The board’s decision to prioritize the organization’s mission over Musk’s interests reflects a commitment to ensuring that AI benefits all of humanity, not just a single individual.

FAQs

Q: Why did OpenAI reject Elon Musk’s offer?
A: OpenAI’s board of directors rejected the offer because they believed it was an attempt to disrupt their competition and not in the best interests of the mission.

Q: What is the current status of the lawsuit between Elon Musk and OpenAI?
A: The lawsuit is ongoing, and its outcome will likely have significant implications for OpenAI’s future.

Q: What is the purpose of OpenAI’s restructuring?
A: The restructuring is intended to convert OpenAI from a "capped-profit" structure to a traditional for-profit company, which will allow the organization to operate more efficiently and effectively.

Q: What are the implications of OpenAI’s rejection of Musk’s offer?
A: The rejection of Musk’s offer means that OpenAI will continue to operate independently, with a focus on ensuring that AI benefits all of humanity, not just a single individual.

Hoarders, Collectors, and Dumpster Divers

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Part 3: More Portraits from the "Hoarders, Collectors and Dumpster Divers" Series

Meet the Characters

Here’s Dorian

Here’s Gwyndell, Liarna and Tintsee

Here’s Jayse and Stevo

More Portraits

Here’s Fana

Here’s Maximo

Here’s Nige

Here’s Verna and Verne

Here’s Electra and Inani

Here’s Rory

Here’s Barney

Here’s Hilda and Lily

Here’s Tommy Top Cat

Here’s Moira

Here’s Pete

Here’s Penny-P, Magpie and Skip

Conclusion

This series of portraits showcases the diverse and fascinating individuals who are often overlooked by society. Through their stories, we can gain a deeper understanding of the complexities of human nature and the importance of empathy and compassion.

Frequently Asked Questions

Q: What is the purpose of this series?
A: The purpose of this series is to humanize and showcase the individuals who are often marginalized or overlooked by society.

Q: Who are the people in these portraits?
A: The individuals in these portraits are a diverse group of people, each with their own unique story and experiences.

Q: What is the significance of this series?
A: This series highlights the importance of empathy and compassion, and encourages viewers to look beyond the surface level to understand the complexities of human nature.

The Brutalist’s Grand Deception

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Setting the Visual Language

Few films in recent memory have captured the imagination quite like Brady Corbet’s ambitious, visually arresting saga, The Brutalist. A testament to the tight-knit collaboration between director Brady Corbet, cinematographer Lol Crawley, and colorist Máté Ternyik, the film tells the story of a visionary architect who flees war in Europe to rebuild his life in America.

Drawing Inspiration

From the earliest camera tests, Máté played a central role in refining the film’s aesthetic, working closely with Crawley and Corbet to shape a look that evokes grandeur, texture, and the passage of time. "I was initially brought on board as the dailies colorist," Máté recalls. "However, from my first session with Lol and Brady, working through their camera test footage in pre-production, there was a mutual feeling that we all spoke the same language and shared a sense of aesthetics."

Setting the Visual Language

The team designed the film’s aesthetic to play on the graceful yet surreal and menacing feel of brutalist architecture. "Lol and Brady often came into the studio after wrapping to screen and grade the previous day’s rushes," Máté explains. "After they had asked me to stay on to do the final DI, these sessions became even more involved, and we did a lot of great work even during the shoot, finding looks and solutions that, in many cases, made it into the final grade of the film."

Using DaVinci Resolve

DaVinci Resolve Studio was an essential tool for this project, used through the dailies color and final DI grade. "It’s various denoising tools, used in several different ways, sometimes globally and sometimes on individual channels, have been great at reducing grain where needed," Máté says. "I also used the Channel Mixer extensively to clear colors in the shadows in a more pleasing way. We also used the integrated grain feature to add grain where needed and to match other shots within a scene."

Conclusion

The Brutalist is a testament to the power of collaboration and the importance of involving colorists in the creative process from the earliest stages. By working closely with Corbet and Crawley, Máté was able to bring a unique vision to life, one that is both visually stunning and emotionally resonant.

FAQs

Q: What was the role of the colorist in the production of The Brutalist?
A: Máté Ternyik played a central role in refining the film’s aesthetic, working closely with director Brady Corbet and cinematographer Lol Crawley to shape a look that evokes grandeur, texture, and the passage of time.

Q: What was the inspiration for the film’s aesthetic?
A: The team drew inspiration from the brutalist architecture movement, aiming to create a look that is both graceful and surreal, with a sense of menace and foreboding.

Q: What was the role of DaVinci Resolve in the production of The Brutalist?
A: DaVinci Resolve Studio was used throughout the dailies color and final DI grade, providing a range of tools for color correction and grading, including denoising, color matching, and grain management.