Telemetra

where every BIT matters...

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Telemetra - Where Every Bit Matters

A Fast, Resilient, and Secure File Transfer System for Unstable Networks

Built by Team Pixie Chicks (VIPS-TC)

  • Mitish Raina
  • Rishita Sharma
  • Paarth Sharma

Overview

Telemetra is an engineering-grade smart file transfer system built for environments with unstable or intermittent connectivity - such as rural medical clinics, disaster zones, racing telemetry systems, and factory–racetrack integrations.

Traditional file-sharing solutions like FTP, SFTP, or HTTP uploads fail or restart from scratch under poor network conditions, wasting bandwidth and risking data loss.

Telemetra ensures speed, resilience, and precision through:

  • Adaptive QUIC transport
  • Forward Error Correction (FEC)
  • Merkle-tree integrity verification
  • Real-time monitoring and auto-resume

Problem Statement

In mission-critical environments - where every packet and millisecond count - existing transfer tools collapse under:

  • High latency and packet loss
  • Frequent network drops
  • No resume or verification mechanisms
  • Unoptimized retransmission strategies

This leads to:

  • Corrupted or incomplete files
  • Loss of telemetry or configuration data
  • Delayed decision-making and inefficiency

Goal:
Build a resilient file mover capable of secure, prioritized, and lossless transfers - maintaining data integrity and visibility even in the harshest connectivity scenarios.

Solution

Telemetra introduces a multi-channel, adaptive file transfer system that intelligently balances speed, reliability, and security using next-generation networking principles.

Core Innovations

Feature Description
Auto Resume Continues transfers from last verified chunk after a network drop.
Integrity Assured Uses SHA-256 hashing & Merkle-tree verification for end-to-end data integrity.
High Throughput Powered by QUIC protocol + parallel chunk streaming + adaptive FEC.
Live Monitoring Real-time dashboard with progress, metrics, and link health visualization.
Priority Channels Critical telemetry is transmitted before background data.
Edge Friendly Lightweight Go-based agent deployable on low-power edge devices.

How It Works

Workflow

  1. Edge Agent registers file → generates manifest (chunk list + hashes).
  2. Transfer Broker authenticates and provides an upload token.
  3. Chunks are streamed in parallel via QUIC with adaptive redundancy.
  4. Receiver verifies each chunk → assembles via Merkle verification tree.
  5. Final Manifest signed and returned to sender confirming completion.
  6. Dashboard displays live progress, bandwidth, and error statistics.

Sequence Diagram

sequence ALT: If image is not rendering, (https://shorturl.at/nAzTl) Alt text

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Tech Stack

Layer Technologies
Frontend (Dashboard) React.js, TypeScript, TailwindCSS, Socket.IO / WebSocket
Backend (Core Engine) Go (Golang), QUIC-Go, gRPC, REST APIs
Data Reliability Klauspost/ReedSolomon for Forward Error Correction
Security mTLS (Agent ↔ Broker), SHA-256 hashing
Observability Prometheus + Grafana for metrics, structured logs

Architecture

architecture ALT: If image is not rendering, (https://shorturl.at/VwI1f)

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Key Features

  1. Resilence: Operates seamlessly under packet loss and disconnections.
  2. Performance: Transfers data up to 10× faster than TCP-based systems under 5–10% loss.
  3. Scalibility: Works across cloud, on-premise, and edge devices.
  4. Security: mTLS + AES-256 + signed manifests ensure end-to-end trust.
  5. Real-time Insights: Built-in monitoring and analytics dashboard.

Use Cases

  • Factory ↔ Racetrack Data Exchange: Transfer car telemetry, configuration files, and sensor data between pit crew and factory in real time.
  • Rural & Mobile Clinics: Upload patient imaging and reports securely to central hospitals.
  • Disaster Relief Operations: Send situational maps, drone footage, and logistics data reliably from affected areas.
  • Remote Engineering & IoT Sites: Sync data from edge sensors or equipment to main control systems.

Business Model

SWOT Analysis

Strengths Weaknesses Opportunities Threats
Resilence under poor connectivity High initial development complexity Untapped Edge computing markets Competition from Aspera, Signiant
Auto-resume and verification Market entry barriers SaaS commercialization Regulatory restrictions
Secure and scalable AI tuning dependency White-label partnerships Cybersecurity and scalability challenges
Speed and efficiency advantage Bandwidth Prioritization Regulatory Push for secure data transfers Operational scalibility

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