Explainable AI that's blazing fast.
Intuitive Neural Networks unify symbolic reasoning with numerical learning. Transparent, traceable decisions at unprecedented speed. No black boxes.
INN Architecture
Structure Information Extraction + Logic Networking—a fundamentally new approach that enables AI to reason and explain like humans.
Product
Sage One: The world's first brain-inspired intelligent computing unit
Sage One runs large-scale INN models on standard x86 CPUs—no GPUs required. Achieve 12.6M tokens/s inference and 2.16M tokens/s training with 90% lower energy use than traditional deep learning. Deploy explainable, brain-inspired intelligence in a compact, office-ready form factor.
Inference Speed
12.6M tokens/s
On standard CPU
Training Speed
2.16M tokens/s
Scalable on x86
Energy
90% reduction
vs. GPU clusters
Configure Your System
Build Your Sage One
Choose from pre-configured options or customize every component. Compare pricing and specifications to find the perfect configuration for your needs.
Your Configuration
1 node • Sage One
$185,000
Choose your INN module
Sage One and Sage One Ultra share the same security; Ultra adds extended algorithm libraries, faster training & inference, and priority support
Product
Tideblaze API
A unified interface for compiling spiking networks, managing on-device learning, and monitoring fleet-wide cognition. Ship brain-inspired intelligence from prototype to production with a single SDK.
from tideblaze import INN, Fleet
# Compile spiking network
model = INN.compile("reasoning-v2")
# Deploy to edge devices
fleet = Fleet.connect(region="us-east")
fleet.deploy(model, devices=["sage-01"])
# Monitor cognition in real-time
for event in fleet.stream():
print(event.trace) # Explainable!Compile & Deploy
Transform INN models into optimized binaries for Sage hardware. One command from notebook to edge.
On-Device Learning
Continuous adaptation without cloud round-trips. Models learn from local data while preserving privacy.
Fleet Telemetry
Real-time dashboards for inference latency, spike patterns, and decision traces across your entire deployment.
<10ms
Deployment latency
99.9%
Uptime SLA
∞
Devices per fleet
Full
Decision traceability
Core technology
Explainable BI for the age of regulation.
Intuitive Neural Networks combine the learning power of neural networks with the transparency of symbolic reasoning. Every decision can be traced, explained, and verified.
INN Engine
Structure + Logic
Traditional Deep Learning
Black box approach
Intuitive Neural Networks
Transparent by design
Explainable Reasoning
Every conclusion comes with a logical trace. No more black boxes.
Few-Shot Learning
Extract patterns from minimal data. No massive datasets required.
Continuous Learning
Add capabilities without forgetting. Knowledge compounds over time.
Multi-Modal Fusion
Text, images, audio unified. Relationships across modalities.
Applied intelligence
Built for environments where power is precious.
From factory floors to operating rooms, INN delivers intelligence where traditional AI can't go.
Autonomous Robotics
Real-time decision making for manipulators, drones, and mobile robots. Sub-millisecond reflexes without cloud latency. Full explainability for safety-critical operations.
<1ms
Response time
0
Cloud dependency
100%
Offline capable
Industrial Sensing
Always-on anomaly detection for critical infrastructure. Predictive maintenance that prevents costly downtime.
Healthcare & Wearables
Real-time neural signal processing. Adaptive medical devices that learn patient patterns while preserving privacy.
Finance & Compliance
Explainable credit decisions and fraud detection. Every judgment traceable for regulatory audits.
Smart Infrastructure
Edge intelligence for cities and buildings. Traffic optimization, energy management, security—all processed locally.
Edge Data Centers
Bring inference to the data. Process sensitive information without it ever leaving your premises.
Scientific Research
Accelerate discovery with explainable models. Understand why the AI reached its conclusions, not just what.
Don't see your use case?
Talk to our solutions teamTideblaze Labs
The world needs intelligence that respects energy.
We are a team of neuroscientists, chip designers, and ML researchers building the next generation of brain-inspired hardware. Our mission: unlock cognition in places where the grid is weak and latency is unforgiving.
Founded
2025
Location
Ottawa, Canada
Tideblaze Journal
Notes from the neuromorphic frontier.
Research updates, engineering deep-dives, and field deployment stories from our brain-inspired intelligence teams.
Symbolic AI's Third Act
A look at why symbolism fell, why LLMs revived the debate, and what a synthesis could mean for the future of artificial intelligence.
Tideblaze Labs
Research Team
Designing dendritic routing for edge perception
How we engineered branch-specific computation pathways that reduce inference latency by 40% while maintaining full explainability.
Why event-based sensors change robotics latency
Traditional frame-based cameras miss what matters. Event sensors capture change as it happens.
Scaling spiking networks for factory floor resilience
Deploying INN-powered anomaly detection across 200+ manufacturing stations.
Ready to build
See what BI hardware can do for your edge stack.
Talk with our solutions team or request access to the N-01 evaluation program.