Investor Relations

From hardware revenue to recurring intelligence revenue.

The moat should not be “a robot body” alone. It should be a unified intelligence stack + multiple robot bodies + fleet/cloud + India-first deployment engineering.

Business Model

Ten revenue streams

Revenue StreamDescription
HardwareRobot purchase.
Robotics-as-a-ServiceMonthly payment for robot usage.
Intelligence subscriptionMANUSH intelligence software.
Fleet SaaSEnterprise fleet management.
Skill marketplaceRevenue share from third-party robot skills.
SimulationMANUSH Sim enterprise licensing.
Developer platformSDK/API subscriptions.
MaintenanceService contracts and spare parts.
Custom roboticsEnterprise-specific robot systems.
ManufacturingLicensing and contract manufacturing later.

The goal is to gradually shift from Hardware revenue toward Hardware + recurring intelligence revenue.

The Technology Moat

What MANUSH should own

MoatWhat MANUSH should own
1. IntelligenceFoundation and embodied models.
2. DataRobot interaction and simulation data.
3. HardwareActuators, hands, sensors, batteries and robot architecture.
4. SimulationTraining environments.
5. FleetReal-world deployment network.
6. Developer EcosystemThird-party applications and skills.

Flywheel: More Robots → More Experience → Better Models → Better Robots → More Customers → More Robots

The Big Portfolio

Seven families

FamilyProducts
MANUSH HUMANOIDSH1 — Research; H2 — Industrial; H3 — General Purpose; H4 — Home; H5 — Future Advanced Humanoid
MANUSH QUADRUPEDSD1 — Scout; D2 — Industrial; D3 — Extreme Terrain
MANUSH SERVICES1 — Indoor Service; S2 — Hospital/Hotel; S3 — Retail/Commercial
MANUSH INDUSTRIALA1 — Collaborative Arm; A2 — AI Manipulator; A3 — Dexterous Manipulator
MANUSH AUTONOMOUSM1 — Warehouse; M2 — Agriculture; M3 — Construction; M4 — Inspection; M5 — Delivery
MANUSH INTELLIGENCEMind; World; OS; Agent; Skills; SafeCore
MANUSH DIGITALCloud; Fleet; Sim; Developer SDK; Skill Store

The India Opportunity

Born in India. Engineered for Bharat. Built for the World.

This direction also fits the broader Indian technology environment. India’s IndiaAI Mission is built around compute, indigenous foundation models, application development, startup financing and safe/trusted AI, giving an ecosystem context that is relevant to a company developing indigenous embodied AI.

Source: PIB, https://www.pib.gov.in/PressReleasePage.aspx?PRID=2289946&lang=1&reg=3

The product should not feel like an “Indian-only robot.” It should feel like a global robotics platform born in India.

Market context

Why a multi-body intelligence platform

The current frontier is moving from scripted robots toward general-purpose embodied AI. Current leaders already show that the market is progressing toward generalist models, long-horizon autonomy, home robotics, industrial humanoids, fleet software and multi-body robotic platforms.

References: Figure — Helix 02 · Figure — Home Generalization · Agility Robotics · Agility — Solutions · Unitree · ISO 10218

Contact

Investor Relations

Reach the Synaptic AI Lab investor relations team.

Enterprise enquiries go straight to our enterprise robotics team. We reply within two business days.

Enterprise details