Ruflo
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration
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What is Ruflo?
Cognitum.One (featuring RuView/Ruflo 2) is an edge intelligence platform that transforms ordinary WiFi signals into a real-time sensing fabric for privacy-first human detection. The system uses WiFi Channel State Information (CSI) to track pose estimation (17-point body skeleton), breathing, heart rate, and room occupancy without cameras or microphones. Built on the Cognitum Seed hardware device, it runs always-on, self-learning AI agents entirely at the edge, keeping all data local and private.
Key features include camera-free presence detection that works through walls and in total darkness, 17-point pose estimation with 92.9% PCK@20 accuracy, contactless health monitoring (sleep patterns, breathing, stress detection), and a swarm capability where multiple Seed devices automatically coordinate as a team. The Cog Store offers 90 different COGS apps that give hardware specific skills like intrusion detection, environmental monitoring, and digital skeleton mapping. Devices run on just 2 watts of power and require no internet connection to function.
This tool is designed for privacy-conscious homeowners who want smart home capabilities without surveillance cameras, healthcare providers monitoring elderly patients remotely, security professionals needing intrusion detection, developers building edge AI applications, and enterprises requiring on-premise AI infrastructure. The platform serves anyone who needs human sensing while maintaining complete data privacy.
The Cognitum Seed is the foundational hardware layer - a credit card-sized computer that acts as an intelligent local computing node with onboard vector memory for semantic similarity-based learning. The system uses witness chains and digital fingerprints to create permanent, verifiable data records entirely on-device.
Ruflo pricing
Pricing model: Freemium
Cognitum Seed device: $257 (one-time purchase). The Seed includes RuView WiFi sensing capabilities and ESP32 fleet pairing out of the box. ESP32 mesh nodes for swarm deployment cost approximately $9 per node. No subscription fees mentioned - the platform operates on a hardware purchase model with 90 COGS apps included in the Cog Store. The Windows PC version of Cognitum One is available as a free download from Microsoft Store. No free tier or paid software subscription plans are specified on the website.
Ruflo pros
- Camera-free sensing protects privacy without compromising functionality
- Works through walls and in total darkness
- Tracks 17 body points for pose estimation with 92.9% accuracy
- Contactless breathing and heart rate monitoring
- Detects stress and calm based on body language
- 90 COGS apps available in the Cog Store library
- Multiple devices automatically form coordinated swarms
- Runs entirely on-device with zero cloud dependency
- Works without internet connection - stays alert during outages
- Ultra-low power consumption at just 2 watts
- Onboard vector memory enables semantic similarity learning
- Data never leaves your home - immune to cloud data breaches
- Digital fingerprinting creates permanent verifiable data records
- ESP32 mesh support at $9 per node for scalable deployment
- Plug-and-play setup starts sensing in under 15 seconds
- Self-learning AI agents optimize continuously in background
- Supports 17-point pose estimation from WiFi CSI alone
- Intrusion detection senses footsteps in adjacent rooms
- Sleep pattern monitoring without wires or invasive cameras
- Environmental monitoring deployable in seconds
Ruflo cons
- Cognitum Seed costs $257 vs ~$15 for equivalent Raspberry Pi Zero 2 W hardware
- Hardware uses off-the-shelf components (ARM-A53, 512MB RAM) with significant markup
- Still in early development - V0 Appliance with local LLM not yet fully released
- CES Innovation Award claimed for $257 ASIC that doesn't exist yet
- Limited to WiFi-based sensing - cannot detect non-human objects
- Requires existing WiFi signals to function (no signals = no sensing)
- 32-bit ARM-A53 processor may limit complex AI model performance
- 512MB RAM constrains running large local language models
- ESP32-S3 boards ($9) required as reflex layer add-ons
- New platform with limited third-party app ecosystem compared to established systems
- No cloud backup means data loss if device fails without local redundancy
- Detection accuracy may vary based on room layout and WiFi interference
- Learning capabilities limited without cloud-based model updates
- 17-point pose estimation accuracy unverified on non-reference hardware
- Swarm coordination requires multiple devices for whole-house coverage
Frequently asked questions about Ruflo
What is RuView and how does it work?
RuView is Cognitum's privacy-first WiFi sensing technology that turns ordinary WiFi into a real-time sensing fabric. It uses WiFi Channel State Information (CSI) to detect pose, breathing, heart rate, and room occupancy from radio signals alone. Your body creates tiny ripples in WiFi signals bouncing around your home, and RuView analyzes how these waves distort to determine exactly where a person is and how they move, even behind walls.
Does RuView require cameras or microphones?
No. RuView is completely camera-free and microphone-free. It uses WiFi radio signals as its sensing mechanism instead. This means there's no camera lens to cover up and no microphone listening for your voice. The system works without sending a single byte of your personal life data, making it privacy-by-physics rather than privacy-by-policy.
What is the Cognitum Seed device?
The Cognitum Seed is a tiny computer no bigger than a credit card that serves as the foundational hardware layer of Cognitum.One. It operates as an intelligent local computing node with onboard vector memory for semantic similarity-based learning. The Seed runs on just 2 watts of power, holds identity and witness chains, includes vector state, and becomes a persistent low-energy node that keeps optimizing in the background without needing internet.
What are COGS and the Cog Store?
The Cog Store is a library of 90 different apps called COGS that give the Cognitum hardware specific skills. These apps are built to be incredibly efficient and run entirely on the device itself using almost no power and zero cloud dependency. Examples include intrusion detection (1A), sleep pattern monitoring, environmental monitoring, digital skeleton mapping with 17 body points, and stress/calm detection based on body language.
How does the swarm feature work?
When you plug in multiple Cognitum Seed devices, they automatically find one another and begin working together as a single coordinated team. These devices share the workload and back up information locally, keeping data within your walls. The swarm is self-contained and stays awake and alert even if your internet goes down, enabling whole-house coverage with multiple rooms.
Is my data private with Cognitum.One?
Yes. Every measurement the device takes is immediately locked into a permanent digital record with a unique digital fingerprint proving exactly when and where it was made. Since the entire process happens on the device in your home, your data isn't sitting in a giant database elsewhere. If data never leaves your home, it can't be stolen in a mass data breach, giving you total control over your information.
What accuracy does pose estimation achieve?
RuView achieves 92.9% PCK@20 accuracy on reference hardware for 17-point pose estimation from WiFi CSI. This means the system can map out a full digital skeleton of a person, tracking 17 different points on the body using only raw WiFi data measurements, without any cameras or additional sensors.
Can Cognitum work without internet?
Yes. The Cognitum Seed doesn't need the internet to work at all. It's a self-contained system that stays awake and alert if your internet goes down. All processing happens on-device, and the swarm coordination between multiple Seeds happens locally. This is by design - removing the cloud from the equation regains total control over your information.
How do I set up and start using Cognitum?
Setup is as simple as plugging the device in and opening your browser. The Seed is running in less than 15 seconds, making anything it attaches to smarter immediately. You can start sensing your environment right away without adding new sensors to a room - you just need a way to listen to the WiFi signals that are already there.
Who is Cognitum.One designed for?
Cognitum.One is designed for anyone who wants a smart home without compromising privacy - families who don't want cameras in private rooms, healthcare providers monitoring elderly patients contactlessly, security professionals needing intrusion detection, and developers building edge AI systems. It's ideal for those who believe true intelligence should protect privacy rather than cost it, and for enterprises requiring on-premise AI infrastructure without cloud dependency.