News Feed

The browser version of AnalogAI is available now

We have launched the browser version of AnalogAI, to be available for laptops and tablets.


In an era where artificial intelligence is rapidly evolving, Analog AI stands out as a pioneer in developing sentient digital humans with advanced reasoning skills and anthropomorphic characteristics. These digital beings are designed not just to interact but to think, learn, and express emotions in a way that mimics human cognition.


The Power of Symbolic Reasoning

Unlike conventional AI models that rely solely on large-scale statistical learning, Analog AI integrates high-precision symbolic reasoning. Their digital humans are capable of inductive, deductive, and abductive reasoning, allowing them to effectively process specialized knowledge about businesses. This makes them well-suited for roles like customer service initially, with future potential in fields such as AI-powered healthcare, including medical diagnosis and mental health support. With the ability to self-learn, develop confidence, and selectively forget, they are uniquely positioned to become long-term digital companions and problem solvers.

Bringing Digital Humans to Life

Analog AI’s digital humans are built using:

Unreal Engine MetaHuman for photorealistic visuals.

NVIDIA Riva for automatic speech recognition.

NVIDIA Audio2Face for facial expressions and lip sync.

ElevenLabs for high-quality speech synthesis.

The combination of these technologies ensures an unparalleled level of realism, allowing for authentic emotional expression, a crucial aspect of human interaction. As research has shown, emotions play a significant role in the acceptance and engagement of digital humans, and Analog AI is actively studying cognitive science to replicate genuine emotional intelligence rather than relying purely on large language models.

A Vision for the Future

Recently, Analog AI launched its demo, making it accessible to the public at analogai.net. The project has gained recognition from industry leaders, receiving support from NVIDIA Inception, Microsoft for Startups, and AWS Activate. Currently, the team is actively collaborating with AWS to optimize cloud infrastructure, addressing the high costs associated with running digital humans. Their goal is to make these AI agents affordable for small and medium-sized enterprises and startups, thus expanding their accessibility.

Beyond enterprise applications, the company envisions a future where domain-specific AI agents will become commonplace. Digital clones and personal agents could soon handle tasks while we sleep, communicating with other AI agents on our behalf.

Bridging AI and Digital Fashion

Analog AI is not only redefining AI interaction but also merging it with digital fashion. The project was launched at Digital Fashion Week in Milan, emphasizing the role of digital clothing in the AI ecosystem. The team is committed to expanding its library of high-quality personality scans, ensuring a diverse and dynamic representation of digital humans.

Challenges and the Road Ahead

Despite its breakthroughs, the Analog AI project remains in its testing phase and is not without flaws. Ensuring seamless emotional intelligence that is indistinguishable from human emotions remains a significant challenge. However, as their research progresses, the team is confident that their AI will continue to bridge the gap between artificial and human cognition.

Analog AI was also a participant in the prestigious MIT Decentralized AI Summit. Their ultimate vision is to create AI agents that are not just assistants but true digital extensions of ourselves, capable of working and interacting on our behalf with authenticity and intelligence.

As we move towards this future, the line between humans and AI will continue to blur, leading to a world where digital clones and AI agents become an integral part of our daily lives. Analog AI is at the helm of this revolution, shaping the way we interact, work, and evolve alongside artificial intelligence.

You can try out the browser app here: https://demo.analogai.net


Made on
Tilda