by 10^13th
About Us
10 to the 13th Power is building NUL (Neuro Universal Language) — an AI-powered cognitive context layer that helps people understand human communication in real time.Human conversations rely heavily on facial expressions, tone, and ambiguous language, signals that are often difficult to interpret for neurodivergent individuals.NUL uses AI, computer vision, and natural language models to translate these signals into clear contextual feedback through smart glasses.Our initial focus is on people with autism and other neurodivergent users, helping them better understand social interactions and reduce communication anxiety.At a broader level, NUL generates a new category of data — cognitive context data — which can be used to train future AI systems, foundation models, and humanoid robots to better understand human interaction.Products
We are developing NUL, an AI system that detects and interprets facial expressions, ambiguous language, tone of voice, and situational cues during real-world conversations.The system combines:AR smart glasses
computer vision for facial expression detectionlarge language models for ambiguity interpretationa personal context layer that adapts to the userThe output is delivered in real time through visual cues and natural language prompts inside the glasses, helping users understand what is meant in a conversation.Our current development stage includes:
• NUL v0.9 demo prototype
• integration of facial expression recognition SDK
• ambiguity detection using large language modelsWe are currently moving from Proof of Concept toward MVP development, with planned pilot testing with neurodivergent users and academic partners.NUL sits at the intersection of AI, human-computer interaction, and assistive technology, creating the missing cognitive context layer for future AI systems.
Our Work
NUL — Neuro Universal Language
Human communication is more than words.Facial expressions, tone of voice, and subtle social signals carry meaning that language alone cannot express.NUL (Neuro Universal Language) translates these real-world communication signals into clear contextual information.
Using AI, computer vision, and natural language models, NUL interprets:
• facial expressions
• ambiguous language
• tone of voice
• situational contextThe system provides real-time feedback through AR glasses, helping users understand what is actually meant in a conversation.How NUL Works
NUL processes communication signals through a multi-layer AI pipeline.Signal Capture
Input from the real world:
• facial expressions
• voice tone
• spoken language
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Context Processing
AI models analyze signals to detect:
• ambiguity
• emotional expressions
• conversational intent
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Personal Context Layer
NUL adapts interpretation to the individual user, learning how they understand and process communication.
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Output LayerClear contextual feedback delivered through AR smart glasses, helping users navigate conversations with confidence.Technologies
NUL combines several advanced technologies:
• Computer Vision — facial expression detection
• Multimodal AI — combining visual, audio, and language signals
• Large Language Models — detecting ambiguity and intent
• AR Wearables — delivering real-time feedback through smart glasses
The Missing Dataset of AI
Modern AI understands language and images.
But it still struggles to understand human context.NUL generates a new category of data:Cognitive Context Data
These contextual data blocks capture:
• facial expressions
• ambiguous language
• situational signals
• human interpretation
This emerging dataset will help train future systems that must interact naturally with humans, including:
• next-generation AI models
• humanoid robots
• human-machine interaction systemsMarket Opportunity
More than 2 billion people worldwide are neurodivergent and face challenges interpreting social signals in everyday communication.
NUL addresses opportunities across:
• education
• healthcare
• workplace inclusion
• assistive AIOur initial focus is supporting people with autism and neurodivergent communication differences.
Why Now?
Three major technology waves are converging.AI Language Models
Large language models can now interpret tone, ambiguity, and conversational intent.
Computer Vision
Facial expression recognition has reached high reliability with modern AI systems.AR Wearables
Smart glasses are becoming mainstream platforms.
Examples include:
• Meta Ray-Ban
• Android XR devices
• Apple Vision ecosystemNUL sits at the intersection of these three technological shifts.
TractionNUL is already gaining early momentum.
• Accepted into the NVIDIA Inception Program
• Completed two accelerator programs
• Endorsed by Vrije Universiteit Brussel (VUB)
• Endorsed by Autisme Vlaanderen
Current development stage:NUL v0.9 demonstration prototype
Next step:
MVP development and pilot deployments
Privacy by Design
Privacy is fundamental to NUL’s architecture.NUL does not store biometric identity data.
• No facial recognition
• No identity tracking
• No biometric profiling
All contextual data is:
• anonymized
• user-controlled
• fully compliant with GDPRBuilding the Cognitive Context Layer of AINUL is creating the missing layer between humans and machines.
Our technology enables:
• clearer communication for neurodivergent users
• better human understanding for AI systems
• contextual intelligence for humanoid roboticsPartners & SupportPowered by collaboration.
• NVIDIA Inception Program
• Vrije Universiteit Brussel (VUB)
• Autisme Vlaanderen
• Startup accelerator programs
Final CallWhere language fails, NUL succeeds.
10 to the 13th Power, Europagalerij 7/1703, Oostende 8400, BELGIUM
VAT: BE1026612069
Thank You
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