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Research with AI
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Food Manufacturing
AI-based KYC, identity verification and fraud-prevention computer vision.
IoT water-flow metering and water-resource analytics.
Advanced molecular imaging and radiopharma technologies.
Sodium-ion battery and energy-storage technologies.
Marine robotics, environmental technologies and advanced-material startups.
Bioprocessing and bioindustrial ventures.
Indigenous ICU ventilators and critical-care medical devices.
XR-based welding and industrial-skills simulation platforms.
Waterless hygiene and sustainable personal-care products.
Materials, polymers, coatings and chemistry-led industrial technologies.
IoT-led dairy supply-chain digitization, cattle monitoring and milk procurement systems.
Point-of-care diagnostics and biosensor devices.
Non-invasive health sensing and consumer health electronics.
Omnidirectional stereo-vision cameras for robotics and autonomy.
Customized wheelchairs and assistive mobility products for people with disabilities.
Electric aerial mobility and autonomous air-transport technologies.
Immuno-oncology biologics and antibody therapeutics.
Deep-science instrumentation and biomedical sensing.
Robotics, propulsion, autonomy and unmanned-systems startups.
Early-stage applied AI and IoT ventures.
Solar/electric cargo trikes and light electric mobility products.
Medical-device and healthtech startups from the Pune science ecosystem.
LiDAR, mapping and 3D geospatial analytics.
Genomics-led infectious-disease diagnostics and health analytics.
Early-stage quantum, electronics and materials ventures.
EV manufacturing, battery and charging-related solutions.
Maternal and neonatal health diagnostic and monitoring systems.
Drone-swarm light shows and UAV coordination systems.
Construction supply-chain analytics and project-control software.
Advanced battery materials, fast-charging cells and energy-storage systems.
Air-purification and indoor air-quality technologies.
Remote cardiac monitoring and arrhythmia diagnostics.
Multi-sensor earth-observation satellites combining optical and SAR imaging.
Vernacular coding, skilling and edtech platform.
Seaweed-based bioproducts, biostimulants and ocean-biomass technologies.
Industrial AI, computer vision and asset/safety monitoring for heavy industry.
Electric propulsion and satellite mobility technologies.
Computer-vision, traffic analytics and embedded AI systems.
Retail investing and fintech platform.
Foldable modular housing and rapid-deployment infrastructure.
Aerospace and defence engineering ventures.
Medtech devices and computational-health startups.
Multi-axis CNC and additive-manufacturing machines.
Industrial IoT sensor platforms for high-temperature process monitoring.
B2B Edutech for Classes 1-12
EV Manufacturing and Assembly
Manufacturing: Advanced materials and manufacturing technologies.
Healthcare: Oncology Therapy
Electronic RISC-V microcontrollers and secure IoT chips.
Semiconductor Electronics
Post Quantum Security
Healthcare: Cell-therapy platforms for retinal and ophthalmic disease.
AI geospatial systems and climate disaster
Oncology: Recurrence: Cancer recurrence-risk diagnostics.
Platform: Digital healthcare, teleconsultation, diagnostics and medicine-delivery platform.
Solar-DC microgrids, energy storage and EV power-electronics systems.
Nanorobotics for dental and biomedical applications.
Pollution-control technology for capturing diesel-generator particulate emissions.
Novel antibiotics and anti-infective drug discovery.
Quantum-safe cryptography and cybersecurity technologies.
Deep-science startups across therapeutics, diagnostics and bioindustrial platforms.
Surveying, mapping and enterprise drone solutions.
Non-invasive cardiac screening and acoustic diagnostic devices.
Methane-to-protein and synthetic-biology biomanufacturing.
Warehouse robotics and automation systems.
Microfluidic diagnostic platforms.
Bio-based packaging materials from agricultural waste.
Drug discovery and small-molecule therapeutic R&D.
Applied AI, vision, robotics and autonomy ventures.
NLP, speech, enterprise AI and applied machine-learning ventures.
Medical simulation and surgical-training technologies.
Online grocery supply-chain and commerce platform.
Drones for logistics, surveillance, defence and industrial applications.
Enterprise conversational AI, voice analytics and contact-center automation.
Mobile gaming and esports platform.
Atmospheric water-generation and drinking-water technologies.
Food-delivery and hyperlocal logistics platform.
Underwater robotic inspection for ports, dams, ships and industrial infrastructure.
Venture-building and funding platform for climate, inclusion, agri and impact startups.
Large-scale entrepreneurship programs for women, livelihoods, skilling and social ventures.
Tissue engineering, regenerative medicine and organoid platforms.
Floral-waste recycling into incense, biomaterials and leather alternatives.
Nanomaterial-based arsenic and heavy-metal water purification.
EV battery-swapping, fleet-management and charging-infrastructure software.
Antimicrobial fabrics, diagnostics, predictive wearables and medical simulation products.
Smart electric scooters, connected EV software and charging infrastructure.
Robotics education and embedded-systems training infrastructure.
Soil-testing and agritech decision-support technologies.
3D-printed rocket engines and small-satellite launch vehicles.
Healthcare: Supplements for Nutrition, Immunity,Weight Loss, Sleep and Stress Production and Manufacturing
Entertainment Manufacturing
Home Applicances
CDMO Contract Development and Manufacturing Organization
Healthcare :Test Results for Communicble and Non-Communicable Diseases
Micro Finance
DeepLearning, NLP, Computer Vision for Insights from Unstructured visual data
AI Data Center with GPUs
AI Robotics Simulated Testing Labs
Defence, surveillance and enterprise UAV/drone systems.
Automotive: Engine-control electronics and mechatronics for automotive and power systems.
Healthcare: diagnostics startups across healthcare and infectious disease.
Observability in BFSI
Government application-review agents
Engineering-led sustainability, energy and infrastructure.
Robot testing lab with World Model Action models from internet-videos
AI Native Legal Tech and Contracts Tech with document injestion and vector DB knowledge base
Speciality Beverages
Indian Speciality Coffee brand, Retail and Cafe
Enterprise Resource Planning - platform automates critical workflows for the real economy manufacturing, CPG, and distribution
AI powered documentation and back-office workflows for field service and residential services companies
Vision and Video foundation model
Insurance Claims with AI
D2C apparel intimate wellness and womens personal care India
Small Satellite Operators in India
Hiring and recruitment based on AI insights of company processes
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Founders
Shehryar Saroya, Ahmad Saroya
Products
Atom 1 — Video-conditioned world model that predicts physical interactions and robot-controlled future states., World Action Models — Models intended to execute robot actions based on visual inputs and policy controls., Robot Policy Evaluation — Simulation-based testing of robot policy checkpoints across environments and failure modes., Failure Analysis — Step-by-step rollout grading that identifies and ranks robot failure modes.
Valuation
Revenue (USD Million)
Registration and Others
Legal entity name: MovingAtoms Inc. Status: Active according to Y Combinator. Principal location: San Francisco, California, United States. Founded: 2025 according to LinkedIn; 2026 according to Y Combinator. Incorporated date, state of incorporation, registration number, and other formal registration identifiers: not publicly disclosed.
Website
Notes
Problem Statement: Limited physical-world data + costly robot testing -> slow and expensive robotics development. Impact if unsolved: more robot hardware, human monitoring, GPU orchestration, and longer deployment cycles. Alternatives: physical robot testing, teleoperation fleets, classical simulators, synthetic data, and proprietary robotics world models. Founded: 2025 LinkedIn; 2026 Y Combinator. Incorporated: Not publicly disclosed. Status: Active. Funding history: Y Combinator seed funding reported in June 2026. Funding Amount: 0.125 USD million, as listed by Dealroom; not independently confirmed by the company or Y Combinator. Acquisition: None publicly disclosed. Founder LinkedIn: Shehryar Saroya — https://linkedin.com/in/shehryar-saroya; Ahmad Saroya — https://www.linkedin.com/in/ahmad-saroya-a05400237/ UNIT METRICS(to be removed later) ---------------------------------- Unit Metric | Number Physics-IQ Verified | 56.6 points Physics-IQ Original | 62.6 points Input Horizon | 3 seconds Output Horizon | 5 seconds Benchmark Cases | 66 cases Rollouts Analyzed | 1142 rollouts Drop Failures | 231 rollouts Drop Cost | 9.1 points Slip Failures | 148 rollouts Clutter Failures | 87 rollouts Due Diligence Segment --------------------- Market & Sector Thesis: Robotics foundation models may reduce the cost and time required to train and validate physical automation systems. World models could become an infrastructure layer between perception, planning, and robot control. Market Sizing: No company-specific market-size estimate publicly disclosed. Operating Traction: Atom 1 claims a 56.6 score on DeepMind's Physics-IQ Verified benchmark; the company states it is onboarding a small cohort of design partners. Direct Competition: NVIDIA Cosmos; World Labs; Physical Intelligence; Enact. These represent overlapping physical-AI, world-model, or robot-training capabilities; comparable company size is not publicly established. MOAT Durability: Potential moat is a growing dataset and evaluation feedback loop combining internet-scale video, robot actions, failure analysis, and environment-specific fine-tuning. The moat could be disrupted by better open-source world models, proprietary robot-data networks, or incumbent platforms with greater compute and customer access. Plausible probable AI models used: Atom 1; specific base-model architecture and model providers are not publicly disclosed. Verified technology: Internet-scale video training; video-conditioned forecasting; action-conditioned rollouts; robot-camera and control inputs; LLM-orchestrated motion; typed rollout verdicts; GPU-parallelized simulation and evaluation. Sources: Moving Atoms official website — https://movingatoms.ai/ — accessed 2026-08-28; page displays copyright year 2026. Y Combinator company profile — https://www.ycombinator.com/companies/moving-atoms — accessed 2026-08-28; lists founders, YC Summer 2026, Active status, San Francisco, and company description. Moving Atoms LinkedIn company page — https://www.linkedin.com/company/movingatoms/ — accessed 2026-08-28; lists founded year 2025, company type, employee range, and company description. Moving Atoms Physics-IQ page — https://movingatoms.ai/physics-iq/ — accessed 2026-08-28; reports benchmark scores, methodology, and rollout details. Dealroom company profile — https://app.dealroom.co/companies/moving_atoms — accessed 2026-08-28; lists June 2026 Y Combinator funding of USD 125,000. Dealroom also shows an enterprise-value range, but this is not treated as a verified valuation because it is not confirmed by the company or an investment announcement.
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Company Metrics
Attribute
Metric
Reference
Company Value
Data Scale
Data Sources
4 data-source categories
data-source categories
Data Scale
Training Timesteps
903000000 robot timesteps
robot timesteps
Deployment Readiness
Embodiment Classes
4-5 robot classes
robot classes
Deployment Readiness
Industrial Environments
100-500 environments
environments
Deployment Traction
Customer Facilities
null facilities
facilities
Deployment Traction
Industrial Environments
100-500 environments deployed
environments deployed
Financing Benchmarks
Series A Funding
300-405 USD million
USD million
Financing Benchmarks
Series A Valuation
1.5-2.0 USD billion
USD billion
Funding Capacity
Early Valuation
1-2.4 USD billion
USD billion
Funding Capacity
Seed Funding
70-105 USD million
USD million
Model Breadth
Demonstrated Tasks
68 tasks
tasks
Model Breadth
Robot Configurations
7 robot configurations
robot configurations
Model Breadth
Robot Platforms
7 platforms evaluated
platforms evaluated
Model Breadth
Training Timesteps
903 million timesteps
million timesteps
Model Breadth
Unique Tasks
68 tasks evaluated
tasks evaluated
Research Productization
Open Source Releases
1 releases
releases
Research Productization
Public Model Releases
1 models released
models released
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