World's First Robot Failure Intelligence Network

No robot
fails twice.

RFMN captures every robot failure, finds the root cause using AI, and pushes the fix to every robot on the planet — instantly.

See Live Dashboard ↓ View API Docs
rfmn-agent — robot RBX-001
// Robot reports failure
await agent.reportFailure({
  errorCode: 'GRIP_FAIL_003',
  taskType: 'pick_box',
  sensorData: { gripper_force: 0.18, humidity: 82 }
});
 
// 2.3 seconds later, fix arrives from cloud ↓
 
✓ [RFMN Cloud] Root cause identified: grip_failure/moisture
✓ [RFMN Cloud] Fix generated: Enable moisture compensation mode
✓ [RFMN Cloud] Deploying to 4,291 robots globally...
✓ [RFMN Cloud] Fix deployed. No robot will fail this way again.
 
agent.onFix(fix => {
  console.log('Fix received:', fix.instructions);
  // → "Increase grip force +25%, reduce speed 10%"
});
0
Robots Connected
0
Fix Success Rate %
0
Avg Fix Time (sec)
0
Estimated Savings (M)
How It Works

Failure happens.
Once.

A closed-loop intelligence system that turns every failure into a permanent fix for your entire fleet.

01

Robot Fails

RFMN Agent captures camera frames, sensor data, and error context in real time.

02

AI Analyzes

Our ML engine classifies the root cause with confidence scoring and generates a targeted fix.

03

Fix Deploys Globally

Validated fixes push to every robot on the network — even offline robots get them on reconnect.

04

Knowledge Graph Updates

Every failure and fix strengthens the shared intelligence network. The system gets smarter forever.

🚨
Robot Fails

Sensor + camera captured

📡
Ingest API

Anonymized & stored

🧠
AI Analysis Engine

Root cause + fix generated

🌐
Knowledge Graph

Network intelligence updated

⚡
Global Fix Deployed

All robots patched instantly

Live Dashboard

Your entire fleet.
One screen.

Real-time visibility into every robot, every failure, every fix — and the ROI you're generating.

Fleet Overview Failures Fixes Analytics Settings
demo_company
D
Total Robots
24
↑ 3 this week
Online Now
19
79% fleet active
Failures Today
7
↓ 43% vs yesterday
Estimated Savings
$12.4k
↑ $2.1k this month
Failure Events — Last 14 Days Live
Feb 16Feb 19Feb 22Feb 25Feb 28Mar 1
Robot Fleet Status
RBX-001
UR5
2 fails
RBX-004
UR10
0 fails
RBX-007
UR5
5 fails
RBX-012
ABB
1 fail
RBX-019
FANUC
offline
Fix Title
Root Cause
Status
Confidence
Deployed
Enable moisture compensation mode
fix_a3f2b1
grip_failure / moisture
Validated
88%
4,291 robots
Increase gripper closing force +15%
fix_9d1e4a
grip_failure / force
Validated
92%
3,812 robots
Enable dynamic obstacle avoidance
fix_7c8f2d
navigation / collision
Pending
75%
Testing...
Switch to backup LiDAR vision mode
fix_2a5c9e
sensor_fault / camera
Validated
79%
2,104 robots
Platform Features

Built for scale.

🧠
AI Root Cause Analysis
ML-powered classification of failure events with confidence scoring. Computer vision analysis of camera frames to detect physical failure patterns.
↗ 98% accuracy
⚡
2-Second Fix Deployment
Fixes travel from analysis to every connected robot in under 2 seconds via WebSocket. Offline robots receive fixes the moment they reconnect.
↗ Real-time
🔒
Privacy-First Architecture
Robot IDs are SHA-256 hashed before any cross-company sharing. Camera frames processed on-device — raw images never leave your robot.
↗ Zero raw data shared
🌐
Knowledge Graph Network
Neo4j-powered graph database maps failure-cause-fix relationships across the entire network. Every robot benefits from every other robot's experience.
↗ Compounding moat
🤝
Hardware Agnostic
Works with UR, FANUC, ABB, Boston Dynamics, and any robot running the RFMN Agent SDK. Node.js and Python SDKs included.
↗ Any robot brand
📊
ROI Dashboard
See exactly how many failures were prevented and calculate the dollar value saved. Export reports for stakeholders and NVIDIA partnership pitches.
↗ Prove your value
Developer API

Three lines of code.
Every robot protected.

RESTful API + WebSocket. Swagger docs included. Node.js and Python SDKs.

POST
/v1/robots/register
Register a robot with the network
POST
/v1/failure-events
Submit a failure event for analysis
GET
/v1/failure-events
List failure events for your fleet
POST
/v1/robots/:id/heartbeat
Update robot status and battery
GET
/v1/analytics/fleet
Get full fleet overview
GET
/v1/analytics/roi
Calculate ROI and savings
GET
/v1/analytics/failure-trends
Failure trends over time
GET
/v1/analytics/fixes
All generated and deployed fixes
Node.js
Python
cURL
// npm install rfmn-agent
const { RFMNAgent } = require('rfmn-agent');
 
const agent = new RFMNAgent({
  robotId: 'RBX-001',
  apiKey: process.env.RFMN_API_KEY
});
 
// Start agent (registers + connects)
await agent.start();
 
// Report failure from your robot code
await agent.reportFailure({
  errorCode: 'GRIP_FAIL_003',
  taskType: 'pick_box',
  sensorData: {
    gripper_force: 0.18,
    humidity: 82
  }
});
 
// Receive fixes automatically
agent.onFix(fix => {
  applyFix(fix.instructions);
  agent.acknowledgeFix(fix.fix_id, true);
});
Strategic Partnership

Built for NVIDIA.

RFMN is the missing data intelligence layer for NVIDIA's robotics stack. We run natively on Jetson and integrate with Isaac.

Jetson AGX Orin
Native Agent Support
RFMN Agent runs natively on Jetson chips. Pre-installable on NVIDIA developer kits for zero-friction onboarding.
Isaac ROS
Hook Into Failure Callbacks
RFMN integrates directly with Isaac ROS failure callbacks — automatic failure capture with no extra code required.
Isaac Sim
Simulate Before Deploy
Test fixes in Isaac Sim virtual environments before pushing to real hardware — zero-risk validation.
Omniverse
3D Failure Heatmaps
Visualize robot failure patterns in Omniverse 3D environments for enterprise-grade analytics and reporting.
TAO Toolkit
Fine-Tune Failure Models
Use TAO Toolkit to fine-tune RFMN's failure detection models on your specific robot hardware for higher accuracy.
Our Pitch
"We make every NVIDIA robot smarter from every other NVIDIA robot's mistakes."
— RFMN Partnership Pitch to NVIDIA
Aakash Singh — Founder, RFMN
Aakash Singh
Founder & CEO
SinghjITech
💼 🐙 🐦
About the Company

Built by
SinghjITech

RFMN is a product of SinghjITech — a deep-tech company building the infrastructure layer for intelligent robotics. We believe the next industrial revolution runs on shared machine intelligence.

Founded by Aakash Singh, RFMN was born from a simple observation: robots fail in the same ways, over and over, because they have no memory. We built the memory.

2026
Founded
India 🇮🇳
Headquartered
4,291
Robots Protected
NVIDIA
Partnership Target
🚀 We are hiring
SinghjITech is looking for robotics engineers, ML researchers, and backend developers to join us in building the future of robot intelligence.
Pricing

Something big
is coming.

RFMN is currently in pre-launch. We are onboarding a select group of early partners before our public release.

Pre-Launch Mode
Launching Q2 2026

Pricing will be announced at launch. Early access partners get 6 months free on any plan — no strings attached.

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A
R
K
+7
10+ companies already on the waitlist
Live
🎯
6 Months Free
Full platform access, no cost
🔧
White-Glove Setup
Aakash sets it up for you
🏷️
Locked-In Pricing
Your rate frozen forever
Join the Waitlist — It's Free →
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🤖

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the network?

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© 2026 RFMN — Robot Failure Memory Network | SinghjITech | Founded by Aakash Singh
v1.0.0 — No robot fails twice.