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JANATICS
Partnership Proposal · 2025
Building
India's
Automation
Future.

The next chapter of a partnership
already producing results.

Two Projects. One Ecosystem.
Project ROSE

India's first open robotic OS.
Any robot. Any site. No code needed.

Project Octopus

The AI that reads any environment.
Senses. Responds. Learns.

Bengaluru × Coimbatore · Confidential · 2025

The Challenge
Automation is arriving in India.
The talent and tools to run it aren't.
~30
India's robot density
per 10,000 workers
Korea1,220
Germany449
Global avg162
India~30
IFR World Robotics, 2025
$1.3T
Lost every year
to the automation skill gap globally

Robots are purchased.
Operators aren't trained.
The machine sits idle.

McKinsey Global Institute, 2024
1M
Robots by 2030
India's Make in India target

The hardware ambition is set.
The deployment infrastructure is zero.

DPIIT / Ministry of Skill Development
Janatics' Direction
The hardware is world-class.
The software ecosystem doesn't exist yet.
Vision

"To be a global leader in cutting-edge technologies that positively impact society and drive sustainable development."

Janatics India · Coimbatore, est. 1977

Founded in Coimbatore. 42+ countries. 17,000+ customers. DSIR-recognised R&D. Robotics solutions. Didactic division. The product is exceptional. What's missing is the ecosystem to deploy it at scale.

The Gap — Right Now

India builds automation hardware. But there's no intelligent software layer to make it replicable, callable by AI, or self-improving across deployments. Every installation is rebuilt from zero.

  • No standard deployment OS — every site is re-engineered from scratch
  • No MCP interface — AI models cannot call Indian hardware
  • Zero reusability — each site costs as much as the first
  • Siloed IoT — sensor data doesn't trigger robot action
  • No Indian sovereign robotics training dataset exists

ROSE + Octopus is the software layer India's automation industry doesn't have — and Janatics can be the hardware standard it ships on.

Three Waves. Right Now.
The world is converging on Physical AI.
India is the last major market without an indigenous platform.
Physical AI
Robots are entering every industry
  • Service robotics: fastest-growing segment globally
  • $10.3B invested in Physical AI in 2025 alone
  • +60.9% YoY · No open platform exists anywhere
  • Every player rebuilds from scratch every time
Adaptive Learning
AI that teaches differently for each person
  • India edtech: 27.94% CAGR
  • UNESCO: personalised learning → +35% retention
  • Every platform today: screen-only, Western data
  • No physical South India learning dataset exists
MCP Protocol
AI calling physical hardware — it's here
  • MCP: Nov 2024, Anthropic · Adopted by OpenAI, Google, Microsoft
  • ROSE extends MCP to robots — any AI, any hardware
  • Donated to Linux Foundation — it's a global standard
  • India has no Physical AI protocol layer yet

Physical AI · $10.3B · +60.9% YoY · Antler / Crunchbase, 2025

MCP · OpenAI + Google + Microsoft · Linux Foundation, Dec 2025

India edtech · 27.94% CAGR · UNESCO + IMARC, 2025

The Protocol Gap
Deploying one robot today: months, millions, mayhem.
ROSE makes it a text instruction.
Without ROSE — The Old Way
✗
Custom code per robot, per site
Every manufacturer, a different API. Zero common language.
✗
6–12 months to deploy one venue
Nav, NLP, sensing all rebuilt. Every. Single. Time.
✗
Engineer on-site at all times
One breakdown = full halt. No non-technical recovery.
✗
Closed, proprietary, locked-in
SoftBank, Figure AI, PAL — all closed. Nothing Indian.

Cost per site: ₹80L–1.5Cr. Time: 6–12 months. Reusability: zero.

With ROSE — The New Way
✓
One OS. Any robot.
Hardware spec loaded once. Works across all manufacturers.
✓
Deploy in days, not months
Install. Load spec. Write instruction in plain text. Done.
✓
Any staff recovers in 15 min
No engineer. No downtime. EDGE module handles everything.
✓
MCP-compatible. Fully open.
Any AI model calls any robot via ROSE. Your hardware = the standard.

Cost per site with ROSE: ₹20L.
Replicable. Open. Indian.

Project ROSE
Robotic Operating System
for Environments
  • Open, modular OS — abstracts any robot into a unified API
  • MCP-compatible — any AI model sends commands, ROSE translates
  • Plain-text instructions. No programming language required.
  • Same stack across manufacturing, logistics, inspection, education
System Flow
USER PROMPT Natural language instruction ALGORITHM NLP intent parsing · intent.json intent.json ABSTRACTION LAYER Hardware spec · compiled once per robot HARDWARE EXECUTES Live · No engineer needed on-site feedback
7 Core Components
CORE
Platform Abstraction
One OS · Any robot hardware
NLP
Intent Parsing
Natural language → tasks · Multilingual
NAV
Path Planning
Dynamic avoidance · Floor plans
VISION
Scene Understanding
Object detect · State sensing
ORCH
Task Orchestration
Multi-step · Real-time replanning
EDGE
Edge Runtime
On-device · Fault recovery
SIM · Simulation & Digital Twin
Validate task plans before hardware commit · Train configurations without physical risk · Reduce rollout cost to near zero
Project Octopus
The intelligence layer that
reads any environment and responds.

Octopus senses its environment — behaviour, sensor readings, physical state — and adapts in real time. First deployed in experiential learning spaces. Built to work in any instrumented environment.

Citizen
Walks in. No frame of reference.
Seeker
Forming questions. Asking why.
Solver
Owns a real problem.
Innovator
Builds something new.
What It Does
  • Senses visitor presence, movement, engagement — continuously
  • Classifies cognitive stage in real time
  • Adjusts ambient conditions, chatbot persona, challenge depth — automatically
  • Runs 20 simultaneous data streams
  • Files sovereign dataset with India AI Mission's AIKosh
Connection to Industries
  • Manufacturing: reads machine state, detects faults, triggers robot corrective actions
  • Logistics: orchestrates multi-robot workflows based on live floor data
  • Research: all environment data and findings published openly as sovereign datasets

Year 1 outputs: 1,000+ sessions · 5 verified hypotheses · AIKosh dataset filed · Octopus Stack packaged for replication

What This Partnership Builds
Six positions. None of them temporary.
MCP Hardware Standard

Your hardware becomes the first Indian platform callable by any AI model globally. ROSE is the protocol; you're the default hardware.

Deployment Speed

Integration drops from months to days. Engineering teams focus on solving problems, not plumbing. More output. Lower cost.

IoT 5.0 Intelligence Layer

Octopus reads sensor streams, detects anomalies, triggers robot actions — closing the loop between data and physical response without added engineering.

India AI Mission — Permanent Record

Sovereign datasets filed with AIKosh. Named as the first Indian automation manufacturer contributing to national AI infrastructure. Permanent, not campaign-based.

Physical AI — First Mover in India

Physical AI hit $10.3B in 2025. ROSE positions your hardware as the reference platform for this category in India — before anyone else does.

Peer-Reviewed Industry Validation

Named partner across all ROSE + Octopus publications. Research with South India's top engineering institutions. The only peer-reviewed validation of Indian automation hardware in live intelligent deployments.

The Ask
₹1 Crore + Hardware.
Every rupee has a job.
₹60L · ROSE
Hardware integration + platform R&D₹38L
2-site deployment + EDGE ops₹8L
Dataset infra + open repository₹7L
Research publication + patents₹7L
₹40L · Octopus
AI + data infra · 20 streams · AIKosh₹12L
Environment design + exhibit integration₹10L
Research engine · 5 hypotheses₹8L
Makerspace + lab equipment₹6L
Publication, IP, presentations₹4L
Total
₹1Cr
Cash + Hardware
in-kind · scoped jointly

Proprietary equivalent:
₹1.6–3Cr per 2 sites
closed · not replicable · not Indian

Thank
you.

One shared mission.
The next chapter is on the table.

₹1 Crore + Hardware

ROSE + Octopus.
Physical AI for India.
Your hardware at the centre.

Param Innovation Lab

7 active spaces · Bengaluru
77K+ annual visitors
Partners: Sarvam AI, BMSCE, Manipal, Nitte

Bengaluru × Coimbatore · 2025 · Confidential