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Antioch

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uuid0099t18

Namestring
Antioch
Legal namestring
Valoros, Inc.
Websiteurl
antioch.com
Company typeenum
Private
Founded yearint
2025
Descriptiontext

Antioch (legal entity Valoros, Inc.) is a New York-based software company founded in May 2025 that operates a cloud-based, full-stack simulation platform for robotics and autonomous systems development. The platform ingests existing robot hardware and software (ROS, custom stacks, Dockerized modules), automates the creation of precision-calibrated digital twins, connects them to high-fidelity virtual sensors (cameras, LiDAR, radar, IMU, actuators), and enables developers to define scenarios programmatically, run thousands of parallel simulations in the cloud, and analyze failure modes through deterministic, frame-level replay. Technical foundations include Nvidia-based physics engines, neural reconstruction via Gaussian splats, generative world models, and the Antioch Agent framework with Model Context Protocol (MCP) support that autonomously generates scenarios, discovers failure modes, and supplies a learning gradient for agentic improvement of physical systems.

The core commercial offering consists of the Antioch Cloud Simulation Platform, the Antioch Console web workspace, the Antioch Agent, and a Python SDK with native Foxglove, Rerun, and ROS 2 integrations. Revenue is generated through a consumption-based SaaS subscription measured in Antioch Sessions (concurrent simulation processes) with committed volume tiers and overage billing, sold via direct enterprise field sales with white-glove onboarding. The company targets robotics and autonomy engineering teams across drones, construction robotics, and smart security, with claimed adoption by Fortune 500 technology and logistics firms, FAANG engineering teams, and leading robotics companies. The platform is SOC 2 Type I and ISO/IEC 27001:2022 certified, and the company has raised $12.75M total ($4.25M pre-seed in December 2025 and $8.5M seed in April 2026 at a $60M post-money valuation).

Short descriptiontext

Antioch is a New York-based cloud simulation platform founded in 2025 that enables robotics and autonomous systems teams to onboard robots, create digital twins, and run massively parallel simulated tests, serving enterprise customers across drones, construction, and smart security verticals.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersNew York, United States
HQ citystring
New York
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices2 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
robotics simulation platform, autonomous systems testing, digital twin software, cloud simulation infrastructure, physical AI development
Industry2 codes
1Robot Software, Autonomy Stacks & Simulation (ROS, digital twins)
CodeHDAAAIAKPrimaryYes
2Simulation & Digital Twin Data for ML Training
CodeHDAAALAIPrimaryNo
NAICS code3 codes
  • Computer Systems Design and Related Services54151
  • Computer Systems Design Services541512
  • Custom Computer Programming Services541511
SIC code3 codes
  • Services-Computer Integrated Systems Design7373
  • Services-Prepackaged Software7372
  • Services-Computer Programming, Data Processing, Etc.7370
Product category
Robotics Simulation Platform
Social media profiles2 records
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model1 record
1Cloud Simulation Platform Subscription
TypeSubscription Recurring
Description

SaaS subscription model for access to the cloud-based simulation platform. Customers pay for simulation sessions (Antioch Sessions) measured and counted toward prepaid or committed allotments. Excess usage is billed at overage rates. Subscription likely scoped by team size and session volume.

antioch.com
Marketing channels4 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels3 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Technology or R&D, Infrastructure, Personnel, Operations, Marketing or Sales
Pricing details1 tier
1Consumption-based subscription with committed volume tiers and overage billing
ModelUsage-basedBilling cadenceMulti-year contract
Notes

Measured by 'Antioch Sessions' — single concurrent simulation processes. Overage usage billed at rates per Order Form. Supports prepaid or committed allotments.

antioch.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Antioch provides a full-stack cloud simulation platform that enables robotics and autonomy teams to onboard their existing hardware and software into simulation, create precision-calibrated digital twins, define realistic test scenarios programmatically, run thousands of parallel simulations in the cloud, and analyze failure modes through full-stack telemetry — all integrated with CI/CD pipelines and an AI agent framework (MCP-enabled) that autonomously improves physical systems. The platform is sold as a SaaS subscription billed by Antioch Sessions (concurrent simulation processes) under committed volume contracts.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 4 values shown
  • Iteration cycles compressed from months to minutes through parallel cloud simulation
+3 more records
Product overview1 text field

Antioch is a cloud simulation platform for robotics and autonomous systems development. The core offering consists of the Antioch Cloud Simulation Platform combined with the Antioch Console (web-based workspace for scenario authoring and telemetry visualization) and the Antioch Agent (AI-powered autonomous development framework). The Python SDK enables programmatic access to all platform capabilities. The platform enables teams to onboard existing robots unchanged, create digital twins, define realistic scenarios programmatically, run thousands of parallel simulations, analyze failure modes through full-stack telemetry, and accelerate development through AI agents that autonomously improve physical systems.

Product and service1 record
1Antioch Cloud Simulation Platform
CategoryRobotics Simulation Platform
Description

A cloud-based full-stack simulation platform that enables robotics and autonomy teams to onboard existing physical systems unchanged, auto-generate precision-calibrated digital twins, define realistic simulation scenarios programmatically, run thousands of parallel cloud simulations with domain randomization and CI/CD integration, and analyze failure modes through deterministic replay and full-stack telemetry. Sold as a SaaS subscription billed by Antioch Sessions (concurrent simulation processes) under committed volume contracts with overage billing.

Scale indicator5 records

Each record includes

Type, Value, Description, Source

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeEmerging player
Description

Parallel Domain generates synthetic data and simulation environments for training and testing autonomous systems, including digital twins of real-world scenes. Comparable in using generative AI and simulation for autonomy development, with overlap in perception and edge-case generation.

TypeDirect peer
Description

Cognata delivers a simulation platform combining digital twins, scenario generation, and synthetic data for autonomous driving and ADAS development. Comparable in offering photorealistic sensor simulation and large-scale parallel testing for enterprise autonomy teams.

TypeBroad incumbent
Description

Microsoft's AirSim (built on Unreal Engine) provides photorealistic simulation for drones, autonomous vehicles, and robotics with sensor models and scenario APIs. Comparable as a high-fidelity robotics simulation substrate, though embedded within Microsoft's broader cloud and AI stack.

TypeDirect peer
Description

Applied Intuition offers a simulation and validation platform for autonomous systems across automotive, defense, and agriculture, including digital twin creation, scenario authoring, and CI/CD-style testing. Closest direct peer in business model and target buyer, though more mature and concentrated in autonomous vehicles.

TypeBroad incumbent
Description

AWS RoboMaker is a cloud robotics development service offering managed simulation, Gazebo-based worlds, and CI/CD integration, embedded within the broader AWS cloud portfolio. Comparable as a managed cloud robotics simulation platform targeting enterprise developers.

TypeEmerging player
Description

Wayve builds an end-to-end AI driving platform that relies heavily on simulation and synthetic data for autonomous policy training and validation. Comparable as an autonomy-stack developer that depends on scalable simulation, though Wayve is itself a robotics company rather than a simulation vendor.

TypeBroad incumbent
Description

MathWorks provides Simulink and related toolchains for model-based design, simulation, and code generation used extensively across robotics and autonomous systems development. Comparable as an established simulation toolset for autonomy teams, with deep enterprise penetration but a broader, more general engineering focus.

TypeEmerging player
Description

Cyberbotics develops Webots and CoppeliaSim, widely used open-source and commercial robotics simulators with physics engines and sensor models. Comparable as a robotics-focused simulation platform, though typically used by academic and smaller teams rather than enterprise cloud deployments.

TypeDirect peer
Description

Foretellix provides scenario-based testing and coverage analytics for autonomous systems, focused on measurable safety validation through large-scale parallel simulation. Highly comparable to Antioch's parallel simulation, telemetry, and regression-gate positioning for autonomous stack development.

TypeBroad incumbent
Description

NVIDIA provides Isaac Sim and Omniverse, the most widely adopted robotics simulation platforms, integrating physics engines (the same engines Antioch builds on) with GPU-native rendering and synthetic data pipelines. Directly comparable as a simulation substrate, but embedded within a much broader hardware and platform portfolio.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers5 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment3 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration4 records

Each record includes

Title, Type, Description, Source

AI capability8 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature7 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles2 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
Compliance2 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds4 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors7 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Antioch

Robotics Simulation Platformantioch.com

Antioch is a New York-based cloud simulation platform founded in 2025 that enables robotics and autonomous systems teams to onboard robots, create digital twins, and run massively parallel simulated tests, serving enterprise customers across drones, construction, and smart security verticals.

What Antioch does

Antioch (legal entity Valoros, Inc.) is a New York-based software company founded in May 2025 that operates a cloud-based, full-stack simulation platform for robotics and autonomous systems development. The platform ingests existing robot hardware and software (ROS, custom stacks, Dockerized modules), automates the creation of precision-calibrated digital twins, connects them to high-fidelity virtual sensors (cameras, LiDAR, radar, IMU, actuators), and enables developers to define scenarios programmatically, run thousands of parallel simulations in the cloud, and analyze failure modes through deterministic, frame-level replay. Technical foundations include Nvidia-based physics engines, neural reconstruction via Gaussian splats, generative world models, and the Antioch Agent framework with Model Context Protocol (MCP) support that autonomously generates scenarios, discovers failure modes, and supplies a learning gradient for agentic improvement of physical systems.

The core commercial offering consists of the Antioch Cloud Simulation Platform, the Antioch Console web workspace, the Antioch Agent, and a Python SDK with native Foxglove, Rerun, and ROS 2 integrations. Revenue is generated through a consumption-based SaaS subscription measured in Antioch Sessions (concurrent simulation processes) with committed volume tiers and overage billing, sold via direct enterprise field sales with white-glove onboarding. The company targets robotics and autonomy engineering teams across drones, construction robotics, and smart security, with claimed adoption by Fortune 500 technology and logistics firms, FAANG engineering teams, and leading robotics companies. The platform is SOC 2 Type I and ISO/IEC 27001:2022 certified, and the company has raised $12.75M total ($4.25M pre-seed in December 2025 and $8.5M seed in April 2026 at a $60M post-money valuation).

Antioch firmographics

Firmographics
Name
Antioch
Legal name
Valoros, Inc.
Website
https://antioch.com
Company type
Private
Founded year
2025
Operating status
Operating
Headcount range
1–10 employees
Short description
Antioch is a New York-based cloud simulation platform founded in 2025 that enables robotics and autonomous systems teams to onboard robots, create digital twins, and run massively parallel simulated tests, serving enterprise customers across drones, construction, and smart security verticals.
Ownership category
akta.pro rank

Antioch industry classification

Industry
Product category
Robotics Simulation Platform
NAICS
Computer Systems Design and Related Services (54151), Computer Systems Design Services (541512), Custom Computer Programming Services (541511)
SIC
Services-Computer Integrated Systems Design (7373), Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
akta.pro primary industry
Robot Software, Autonomy Stacks & Simulation (ROS, digital twins) (HDAAAIAK)
akta.pro secondary industry
Simulation & Digital Twin Data for ML Training (HDAAALAI)

Keywords

  • Robotics simulation platform
  • Autonomous systems testing
  • Digital twin software
  • Cloud simulation infrastructure
  • Physical AI development

Where Antioch is headquartered

Location

Headquarters

HQ city
New York
HQ country
United States
HQ region
North America

Offices2 records

Markets served

Antioch business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Technology or R&D, Infrastructure, Personnel, Operations, Marketing or Sales

Revenue model

  1. Cloud Simulation Platform Subscription: SaaS subscription model for access to the cloud-based simulation platform. Customers pay for simulation sessions (Antioch Sessions) measured and counted toward prepaid or committed allotments. Excess usage is billed at overage rates. Subscription likely scoped by team size and session volume.

Pricing tiers

ModelBillingPrice
Usage-basedMulti-year contractConsumption-based subscription with committed volume tiers and overage billing

Go-to-market motion2 records

Distribution channels3 records

Marketing channels4 records

Antioch product offering

Product offering

Core offering

Antioch provides a full-stack cloud simulation platform that enables robotics and autonomy teams to onboard their existing hardware and software into simulation, create precision-calibrated digital twins, define realistic test scenarios programmatically, run thousands of parallel simulations in the cloud, and analyze failure modes through full-stack telemetry — all integrated with CI/CD pipelines and an AI agent framework (MCP-enabled) that autonomously improves physical systems. The platform is sold as a SaaS subscription billed by Antioch Sessions (concurrent simulation processes) under committed volume contracts.

Product overview

Antioch is a cloud simulation platform for robotics and autonomous systems development. The core offering consists of the Antioch Cloud Simulation Platform combined with the Antioch Console (web-based workspace for scenario authoring and telemetry visualization) and the Antioch Agent (AI-powered autonomous development framework). The Python SDK enables programmatic access to all platform capabilities. The platform enables teams to onboard existing robots unchanged, create digital twins, define realistic scenarios programmatically, run thousands of parallel simulations, analyze failure modes through full-stack telemetry, and accelerate development through AI agents that autonomously improve physical systems.

Differentiator

Problem solved

Functional benefit

Products and services

  • Antioch Cloud Simulation Platform A cloud-based full-stack simulation platform that enables robotics and autonomy teams to onboard existing physical systems unchanged, auto-generate precision-calibrated digital twins, define realistic simulation scenarios programmatically, run thousands of parallel cloud simulations with domain randomization and CI/CD integration, and analyze failure modes through deterministic replay and full-stack telemetry. Sold as a SaaS subscription billed by Antioch Sessions (concurrent simulation processes) under committed volume contracts with overage billing.

Quantifiable outcome

  • Iteration cycles compressed from months to minutes through parallel cloud simulation
  • +3 more outcomes

Companies that use Antioch

Customer profile

Named customers5 records

Segments3 records

Ideal customer profiles2 records

Antioch technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration4 records

AI capability8 records

Feature7 records

Antioch partnerships and signals

Strategic signal

Scale indicators5 records

Recent moves6 records

Expansion highlights6 records

Antioch competitors and assessment

Company assessment

Emerging players

  • Parallel Domain: Parallel Domain generates synthetic data and simulation environments for training and testing autonomous systems, including digital twins of real-world scenes. Comparable in using generative AI and simulation for autonomy development, with overlap in perception and edge-case generation.
  • Wayve: Wayve builds an end-to-end AI driving platform that relies heavily on simulation and synthetic data for autonomous policy training and validation. Comparable as an autonomy-stack developer that depends on scalable simulation, though Wayve is itself a robotics company rather than a simulation vendor.
  • Cyberbotics (CoppeliaSim / Webots): Cyberbotics develops Webots and CoppeliaSim, widely used open-source and commercial robotics simulators with physics engines and sensor models. Comparable as a robotics-focused simulation platform, though typically used by academic and smaller teams rather than enterprise cloud deployments.

Direct peers

  • Cognata: Cognata delivers a simulation platform combining digital twins, scenario generation, and synthetic data for autonomous driving and ADAS development. Comparable in offering photorealistic sensor simulation and large-scale parallel testing for enterprise autonomy teams.
  • Applied Intuition: Applied Intuition offers a simulation and validation platform for autonomous systems across automotive, defense, and agriculture, including digital twin creation, scenario authoring, and CI/CD-style testing. Closest direct peer in business model and target buyer, though more mature and concentrated in autonomous vehicles.
  • Foretellix: Foretellix provides scenario-based testing and coverage analytics for autonomous systems, focused on measurable safety validation through large-scale parallel simulation. Highly comparable to Antioch's parallel simulation, telemetry, and regression-gate positioning for autonomous stack development.

Broad incumbents

  • Microsoft (AirSim): Microsoft's AirSim (built on Unreal Engine) provides photorealistic simulation for drones, autonomous vehicles, and robotics with sensor models and scenario APIs. Comparable as a high-fidelity robotics simulation substrate, though embedded within Microsoft's broader cloud and AI stack.
  • AWS RoboMaker: AWS RoboMaker is a cloud robotics development service offering managed simulation, Gazebo-based worlds, and CI/CD integration, embedded within the broader AWS cloud portfolio. Comparable as a managed cloud robotics simulation platform targeting enterprise developers.
  • MathWorks (MATLAB/Simulink): MathWorks provides Simulink and related toolchains for model-based design, simulation, and code generation used extensively across robotics and autonomous systems development. Comparable as an established simulation toolset for autonomy teams, with deep enterprise penetration but a broader, more general engineering focus.
  • NVIDIA (Isaac Sim / Omniverse): NVIDIA provides Isaac Sim and Omniverse, the most widely adopted robotics simulation platforms, integrating physics engines (the same engines Antioch builds on) with GPU-native rendering and synthetic data pipelines. Directly comparable as a simulation substrate, but embedded within a much broader hardware and platform portfolio.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

Antioch social profiles

Digital presence

Antioch compliance and trust

Trust signal

Compliance2 records

Antioch financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Antioch leadership team

Management profile

Number of profiles

Profiles2 records

Antioch funding detail

Funding detail

Funding overview

Funding rounds4 records

Investors7 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Antioch M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Antioch

What does Antioch do?

Antioch provides a full-stack cloud simulation platform that enables robotics and autonomy teams to onboard their existing hardware and software into simulation, create precision-calibrated digital twins, define realistic test scenarios programmatically, run thousands of parallel simulations in the cloud, and analyze failure modes through full-stack telemetry — all integrated with CI/CD pipelines and an AI agent framework (MCP-enabled) that autonomously improves physical systems. The platform is sold as a SaaS subscription billed by Antioch Sessions (concurrent simulation processes) under committed volume contracts.

Is Antioch a public or private company?

Antioch is a private company. It is classified as venture growth investor backed and is currently operating.

When was Antioch founded?

Antioch was founded in 2025. It employs 1 to 10 people.

Where is Antioch based?

Antioch is headquartered in New York, United States, in the North America region.

How does Antioch make money?

One revenue line is on record: cloud Simulation Platform Subscription.

Who are Antioch's main competitors?

Emerging players on record are Parallel Domain, Wayve and Cyberbotics (CoppeliaSim / Webots). Direct peers are Cognata, Applied Intuition and Foretellix. Broad incumbents are Microsoft (AirSim), AWS RoboMaker, MathWorks (MATLAB/Simulink) and NVIDIA (Isaac Sim / Omniverse).

Does Antioch have an API?

Yes. Antioch provides a Python SDK that enables developers to programmatically interact with the simulation platform. The SDK allows importing modules (Articulation, GroundPlane, Simulation, scenario), loading assets, defining scenarios, controlling robots, and reading telemetry. MCP (Model Context Protocol) support is explicitly mentioned as enabling agent-controlled assets, environments, automated test criteria development, and autonomous debug and validation. Developer documentation is at console.antioch.com.

What industry is Antioch in?

Antioch's product category is Robotics Simulation Platform. Its primary akta.pro industry code is HDAAAIAK, Robot Software, Autonomy Stacks & Simulation (ROS, digital twins), with a secondary code of HDAAALAI, Simulation & Digital Twin Data for ML Training. Its NAICS code is 54151 and its SIC code is 7373.

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Live signals
FinSMEsAntioch Raises $32M in Series A FundingAntioch, a NYC-based simulation platform for physical AI, raised $32M in Series A funding led by Greylock. The company will use the funds to accelerate product development, expand its engineering team, and deepen simulation capabilities across robotics, drones, industrial automation, and fixed perception applications.Thebridge物理AI向けシミュレーションのAntioch、Greylock主導で3,200万ドル調達Antioch, a physical AI simulation platform, raised $32 million in a Series A round led by Greylock, bringing total funding to $40.5 million. The company's platform integrates hardware, sensors, and software for scalable simulation and evaluation, targeting autonomous flight, driving, and industrial automation. Funds will support product development and team expansion.citybizFormer Tesla Engineer’s Antioch Secures $32M to Enable Simulation-Driven RoboticsAntioch, an AI simulation platform for robotics, raised $32 million in Series A financing led by Greylock Partners. The round brings total funding to $40.5 million, and the company's software helps developers test autonomous systems in simulated environments. Investors include Icehouse Ventures, A* Capital, and Palantir's Shyam Sankar.TechNodeChina’s Humanoid Robot Boom, Part III: When is the ChatGPT moment for humanoid robots? · TechNodeChinese companies are moving faster than U.S. rivals in humanoid robots, with five firms accounting for 86% of global shipments in H1 2026. The sector faces AI software gaps, reliability issues, and data bottlenecks, with commercialization expected first in manufacturing and logistics. A general embodied-intelligence model could trigger a ChatGPT moment.WowtalePhysical AI simulation Anti-Oak raises $32 million in Series A fundingAntioch raised $32 million in Series A funding for its physical AI simulation platform. The company builds domain-specific layers on top of general-purpose simulators like NVIDIA's Cosmos and World Labs. Competitors include Cognata and Parallel Domain, but Antioch targets multiple robotic domains beyond autonomous driving.The SaaS NewsAntioch Raises $32M Series AAntioch, a New York City-based simulation platform for physical AI, raised $32 million in a Series A round led by Greylock. The company will use the funds to accelerate product development, expand its engineering team, and enhance simulation capabilities for robotics and industrial automation.SiliconANGLEAntioch raises $32M to move robot testing into simulationAntioch Inc. raised $32 million in new funding for product development and simulation capabilities. The startup, about 16 months old, uses high-fidelity simulation to test autonomous systems, with backers including Greylock Partners and partners like Nvidia and Nebius. Total funding now stands at $44.75 million.Crypto BriefingAntioch raises $32M Series A led by Greylock to scale simulation platform for physical AIAntioch raised $32 million in Series A funding led by Greylock to expand its cloud-based simulation platform for physical AI and robotics. The company, which raised $44.6 million total, builds digital twins to let teams run thousands of virtual tests before physical deployment. Amazon's Ring is a customer, and the platform aims to address the sim-to-real gap in robotics testing.ForbesHere’s A $32 Million Bet That Robots Don’t Need A Billion Dollars Of Real-World DataAntioch raised $32 million in a Series A led by Greylock to build simulated data for robot training. The company claims its simulations match Amazon Ring's physical tests, offering a cheaper alternative to Figure AI's billion-dollar Index initiative. Antioch plans to use real data to refine its simulators for drones, vehicles, and security systems.AntiochAntioch raises $32M to bring software speed to physical AI developmentAntioch raised $32 million, bringing total funding to $40.5 million, and welcomed Greylock's Saam Motamedi to its board. The company is building a verifier for physical AI that predicts system improvements before hardware deployment. It plans to expand the platform and hire across simulation, machine learning, and operations.