Inverted AI
Inverted AI, a 2018 UBC spinout based in Vancouver, builds proprietary generative AI models that simulate realistic human driving and pedestrian behavior as NPCs for autonomous vehicle, ADAS, and smart city simulation, delivered via cloud API and SDKs to AV developers and researchers.
- Company typePrivate
- Founded2018
- HeadquartersVancouver, Canada
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Inverted AI does
Inverted AI is a Vancouver-based generative AI company founded in 2018 as a spinout from the University of British Columbia, focused on simulating human-like driving and pedestrian behavior for autonomous vehicle (AV) and advanced driver assistance system (ADAS) development. The company's core technology consists of proprietary deep generative models — including diffusion-based and score-based architectures — that produce reactive, realistic, and behaviorally diverse non-playable characters (NPCs) for traffic simulation. A proprietary drone-based data pipeline feeds one of the largest behavior datasets in the world into these models, and the resulting prediction and patent-pending correct-by-construction planning algorithms have been validated across hundreds of millions of scenarios spanning thousands of locations across tens of countries.
The product surface comprises three core offerings — Planner (onboard real-time NPC trajectory prediction), Verify (post-perception validation), and Cloud API (programmatic simulation access) — plus Logs sub-products (Real Logs, Synthetic Logs, Logs Solutions) for scenario capture and replay, and open-source developer tools (TorchDriveEnv, TorchDriveSim) for reinforcement learning research. The platform is delivered via REST API and Python/C++ SDKs, with a documented integration into the CARLA simulator.
Revenue is generated through usage-based API billing combined with commercial subscriptions. The go-to-market is API-first and self-serve, with a freemium trial motion and an Academic Research Awards program offering up to $50,000 USD in API credits to Canadian academic researchers, layered with an enterprise field-sales motion via a November 2025 strategic partnership with Foretellix that targets OEMs and major AV developers. The customer base spans AV and ADAS developers, smart city applications, AV testing and validation companies, and academic researchers, with distribution supported by an NVIDIA Inception Program membership and a developer ecosystem across GitHub, Discord, and YouTube.
Inverted AI firmographics
Firmographics- Name
- Inverted AI
- Legal name
- Inverted AI Ltd.
- Website
- https://inverted.ai
- Company type
- Private
- Founded year
- 2018
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Inverted AI, a 2018 UBC spinout based in Vancouver, builds proprietary generative AI models that simulate realistic human driving and pedestrian behavior as NPCs for autonomous vehicle, ADAS, and smart city simulation, delivered via cloud API and SDKs to AV developers and researchers.
- Ownership category
- akta.pro rank
Inverted AI industry classification
Industry- Product category
- Autonomous Vehicle Simulation Software
- NAICS
- Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming Services (7371)
- akta.pro primary industry
- Robot Software, Autonomy Stacks & Simulation (ROS, digital twins) (HDAAAIAK)
- akta.pro secondary industry
- AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
Keywords
Where Inverted AI is headquartered
LocationHeadquarters
- HQ city
- Vancouver
- HQ country
- Canada
- HQ region
- North America
Offices1 record
Markets served
Inverted AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Operations, Marketing or Sales
Revenue model
- API Usage-based Access: Inverted AI generates revenue through API usage-based billing where customers pay per API call or consume allocated credits. The company offers various plans with free trial periods and API credit packages. Academic and research users can receive free API credits through the Research Awards program, creating a pipeline for commercial conversion.
- Commercial API Subscriptions: Following free trial or academic program usage, customers transition to commercial API subscriptions for continued access to Inverted AI's simulation capabilities. Pricing is based on consumption with subscription terms for enterprise customers.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Annual | Academic Research Awards - up to $50,000 USD in API credits |
| Freemium | Pay-as-you-go | Free Trial API Access |
| Usage-based | Monthly | Commercial API Access |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels7 records
Inverted AI product offering
Product offeringCore offering
Inverted AI sells a cloud-based simulation platform that uses proprietary deep generative models to produce reactive, realistic, and behaviorally diverse non-playable characters (NPCs) for autonomous vehicle and ADAS testing. Customers access the platform via a REST Cloud API and Python/C++ SDKs, with named products Planner (onboard trajectory prediction), Verify (post-perception validation), and Logs (Real, Synthetic, and Solutions for scenario capture and replay). The company supplements commercial access with open-source developer tools TorchDriveEnv and TorchDriveSim, and supports academic adoption through a research awards program.
Product overview
Inverted AI offers a unified simulation platform for autonomous vehicle and ADAS development with three core products: Planner (onboard real-time NPC prediction), Verify (post-perception validation), and Cloud API (programmatic access). These are supplemented by Logs products (Real, Synthetic, and Solutions) for scenario capture and replay. The platform is accessible via REST API with Python and C++ SDKs, and supports open-source tools TorchDriveEnv and TorchDriveSim for reinforcement learning research. Applications span AV 1.0 (onboard), AV 2.0 (post-perception V&V), and AV 3.0 tiers.
Differentiator
Problem solved
Functional benefit
Products and services
- Planner Onboard planning module for autonomous vehicles that generates real-time trajectory predictions for NPCs, enabling the ego vehicle to plan safe paths during AV 1.0 onboard applications.
- Verify Post-perception verification and validation module for testing autonomous driving decisions after perception data has been processed, supporting AV 2.0 (V&V) applications.
- Cloud API Cloud-based REST API providing programmatic access to Inverted AI's simulation engine, supporting location_info, initialize, drive, and blame endpoints with Python and C++ SDKs.
- Real Logs Logging feature for capturing and replaying real-world driving scenarios captured from actual traffic data for AV testing and validation.
- Synthetic Logs Logging feature for capturing and replaying AI-generated synthetic scenarios for simulation testing and development.
- Logs Solutions Pre-configured scenario logging solutions combining real and synthetic data for comprehensive autonomous vehicle testing workflows.
- TorchDriveEnv Open-source reinforcement learning benchmark environment for autonomous driving featuring reactive, realistic, and diverse NPCs for AV system testing and research.
- TorchDriveSim Open-source simulation tool for autonomous driving research and development, distributed via GitHub.
- AV 1.0 Onboard Application Autonomous vehicle onboard planning application tier using real-time NPC prediction for in-vehicle decision making, powered by the Planner product.
- AV 2.0 Post-perception V&V Application Post-perception verification and validation application tier for testing autonomous driving systems after data processing, powered by the Verify product.
- AV 3.0 Application Advanced autonomous vehicle application tier combining onboard planning and post-perception capabilities for comprehensive AV testing.
- Imagining the Road Ahead Interactive demo product feature that enables testing of complex vehicle and pedestrian scenarios for autonomous vehicle development, launched alongside the December 2023 seed funding announcement.
Quantifiable outcome
- APIs called over 500 million times
- +2 more outcomes
Companies that use Inverted AI
Customer profileSegments4 records
Ideal customer profiles3 records
Inverted AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration1 record
AI capability5 records
Feature5 records
Inverted AI partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- ForetellixcoreForetellix and Inverted AI announced a partnership to develop a hybrid simulation solution for autonomous vehicle (AV) testing. The integrated technology combines Foretellix's rule-based scenario generation with Inverted AI's learned human behavior models. This enables high-fidelity simulations of traffic interactions including rare edge cases, enhancing realism and safety in AV development. The partnership targets AV developers and OEMs requiring comprehensive scenario-based testing capabilities.
Scale indicators5 records
Recent moves6 records
Expansion highlights6 records
Inverted AI competitors and assessment
Company assessmentDirect peers
- Parallel Domain: Parallel Domain generates synthetic 3D environments and scenarios for autonomous vehicle training and testing. It competes with Inverted AI at the synthetic scenario/data layer that AV developers use to scale training and validation.
- Cognata: Cognata provides a simulation platform for autonomous vehicles and ADAS featuring AI-based traffic models, virtual environments, and sensor simulation. Its realistic traffic and pedestrian modeling capabilities overlap directly with Inverted AI's NPC simulation stack.
- Applied Intuition: Applied Intuition offers a simulation and development platform for autonomous driving and ADAS, including scenario generation, traffic simulation, and validation tooling. It competes head-to-head with Inverted AI for AV developer and OEM simulation budgets.
- Foretellix: Foretellix provides scenario-based testing and validation for autonomous vehicles, including hyper-realistic simulation of traffic interactions. It is Inverted AI's most direct competitor — and recently announced strategic partner — in AV behavioral scenario generation, with both companies targeting the same OEM safety validation customers.
- AVSimulation (OKTAL): AVSimulation (formerly OKTAL) provides SCANeR, a simulation platform for ADAS and autonomous driving with realistic traffic and scenario modeling. It is a comparable specialist in AV/ADAS behavioral and traffic simulation serving similar OEM and Tier-1 customers.
Broad incumbents
- NVIDIA DRIVE Sim: NVIDIA's DRIVE Sim platform provides end-to-end AV and robotics simulation with high-fidelity sensor, traffic, and scenario modeling. As a broad incumbent with deep integration into the broader NVIDIA stack, it competes with Inverted AI at the platform layer for AV developer mindshare.
- dSPACE: dSPACE provides simulation, validation, and development tools for automotive ADAS and autonomous systems, including traffic and scenario simulation. As an established Tier-1 supplier, it competes with Inverted AI for OEM simulation budgets with broader portfolio reach.
- Ansys (Autonomous Vehicle Simulation): Ansys offers physics-based and system-level simulation tools used across automotive ADAS/AV development. It competes with Inverted AI in automotive simulation tooling as a broad engineering simulation incumbent with significantly larger enterprise footprint.
- Hexagon (MSC Software): Hexagon's MSC Software unit provides automotive simulation tools including Adams and related vehicle dynamics and ADAS platforms. It competes with Inverted AI at the automotive simulation layer as a broad incumbent serving global OEMs.
Emerging players
- rFpro: rFpro provides high-fidelity driving simulation software for automotive development, ADAS testing, and AV validation. It focuses on realistic road and traffic environments and competes with Inverted AI at the driving simulation/scenario layer for automotive engineering customers.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks7 records
Key highlights7 records
Customer concentration
Inverted AI social profiles
Digital presenceInverted AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Inverted AI leadership team
Management profileNumber of profiles
Profiles6 records
Inverted AI funding detail
Funding detailFunding overview
Funding rounds2 records
Investors8 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Inverted AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Inverted AI
What does Inverted AI do?
Inverted AI sells a cloud-based simulation platform that uses proprietary deep generative models to produce reactive, realistic, and behaviorally diverse non-playable characters (NPCs) for autonomous vehicle and ADAS testing. Customers access the platform via a REST Cloud API and Python/C++ SDKs, with named products Planner (onboard trajectory prediction), Verify (post-perception validation), and Logs (Real, Synthetic, and Solutions for scenario capture and replay). The company supplements commercial access with open-source developer tools TorchDriveEnv and TorchDriveSim, and supports academic adoption through a research awards program.
Is Inverted AI a public or private company?
Inverted AI is a private company. It is classified as venture growth investor backed and is currently operating.
When was Inverted AI founded?
Inverted AI was founded in 2018. It employs 11 to 50 people.
Where is Inverted AI based?
Inverted AI is headquartered in Vancouver, Canada, in the North America region.
How does Inverted AI make money?
Two revenue lines are on record. API Usage-based Access are the primary driver. The others are commercial API Subscriptions.
Who are Inverted AI's main competitors?
Direct peers on record are Parallel Domain, Cognata, Applied Intuition, Foretellix and AVSimulation (OKTAL). Broad incumbents are NVIDIA DRIVE Sim, dSPACE, Ansys (Autonomous Vehicle Simulation) and Hexagon (MSC Software). rFpro is listed as an emerging player.
Does Inverted AI have an API?
Yes. Inverted AI provides a REST API for autonomous vehicle simulation with NPC control. The API includes endpoints for location_info (static location data), initialize (scene setup with agents), drive (agent movement simulation), and blame (collision fault determination). SDKs available in Python and C++ with documentation at docs.inverted.ai and REST API reference at app.swaggerhub.com. Developer documentation is at docs.inverted.ai.
What industry is Inverted AI in?
Inverted AI's product category is Autonomous Vehicle Simulation Software. Its primary akta.pro industry code is HDAAAIAK, Robot Software, Autonomy Stacks & Simulation (ROS, digital twins), with a secondary code of HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs). Its NAICS code is 5132 and its SIC code is 7372.