Valgo

What Valgo does

Valgo (legal entity Valgorithmic, Inc.) is a Delaware public benefit corporation headquartered in San Mateo, California, building a risk quantification layer for physical AI — most prominently autonomous vehicles. Its core product, Human Crash Baselines, is an interactive web tool and open-source Python API that estimates human crash rates from public crash and roadway-exposure data (NHTSA, state DOTs, FHWA HPMS, NOAA) across city-level geofenced areas and interstate trucking corridors in California, Nevada, Arizona, and Texas, enabling autonomous vehicle operators, insurers, and regulators to compare automated driving performance against transparent, methodologically adjustable human baselines. Underlying the product are proprietary algorithms for black-box safety validation — Bayesian optimization for failure probability estimation, diffusion-based failure sampling, state-dependent importance sampling, and chance-constrained POMDP planning — backed by a peer-reviewed publication record and a 2026 MIT Press textbook co-authored by the founders.

The company sells safety validation software and services on a recurring basis to three customer segments: autonomous vehicle operators (primary), insurance companies, and regulators/certifiers. Pricing is not publicly disclosed, and the Human Crash Baselines web tool operates invite-only, signaling a selective, relationship-driven go-to-market. Valgo is venture-backed by Y Combinator ($500K, March 2026), Floodgate, and Menlo Ventures via the Anthology Fund. The founding team — Stanford PhDs Robert Moss (CEO, ex-MIT Lincoln Lab/Xwing/NASA), Sydney Katz (CTO, ex-Reliable Robotics/MIT Lincoln Lab/NASA), Jon Qian (President, ex-Dai-ichi Life insurance M&A) — is joined by Chief Scientist Harrison Delecki (ex-Motional) and advisor Mykel Kochenderfer (Stanford Associate Professor, Co-Director Stanford Center for AI Safety). The company reports 1-10 employees and is at an early commercial stage, with no disclosed revenue.

Name

Valgo

Legal name

Valgorithmic, Inc.

Website

https://valgo.ai

Company type

Private

Founded year

2021

Operating status

Operating

Headcount range

1–10 employees

Short description

Valgo builds risk quantification software for physical AI, anchored by its Human Crash Baselines tool that compares autonomous vehicle safety against public human crash data. It serves AV operators, insurers, and regulators using proprietary Bayesian safety validation algorithms.

Ownership category

akta.pro rank

Product category

Autonomous Vehicle Safety Software

NAICS

Taxi and Ridesharing Services (48531)

SIC

Services-Computer Programming Services (7371)

akta.pro primary industry

Fleet Safety Analytics, Benchmarking & Risk Scoring (TLAEANAI)

akta.pro secondary industries

Video Telematics, ADAS & AI Dashcams (TLAEAFAG), Autonomous Driving & ADAS Perception (HDAAAEAI), SaMD – Digital Biomarkers & Algorithmic Endpoints (HLACANAF)

Keywords

• Autonomous vehicle safety
• Risk quantification software
• Safety validation algorithms
• Crash baseline analysis
• Autonomous systems insurance

Headquarters

HQ city

San Mateo

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations

Revenue model

1. Safety Validation Software and Services: Valgo provides risk quantification software and validation services for autonomous vehicle companies, insurers, and regulators. The company models real-world environments and turns testing and simulation data into clear answers that support deployment decisions and insurance underwriting.

Go-to-market motion2 records

Distribution channels2 records

Marketing channels4 records

Core offering

Valgo develops risk quantification software for the insurance and deployment of physical AI systems, with a primary focus on autonomous vehicles. Its flagship offering is the Human Crash Baselines tool — an interactive web application and Python API that estimates human crash rates from public crash and roadway-exposure data across city-level geofenced areas and trucking corridors. The tool provides a methodology-transparent reference for comparing automated driving system performance against human-driven baselines to support deployment decisions and insurance underwriting.

Product overview

Valgo is a public benefit corporation building the risk quantification layer for physical AI — providing validation, deployment, and insurance solutions. Valgo's primary offering is the Human Crash Baselines tool (humanbaselines.com), an interactive web application and Python API that estimates human crash rates from public crash and roadway-exposure data for both urban robotaxi domains and heavy-duty trucking corridors. The tool enables stakeholders to compare autonomous vehicle performance against human-driven baselines across configurable operational design domains. All methodology choices (crash severity definitions, vehicle types, weather conditions, time-of-day filters) are transparent and adjustable, with data sourced from NHTSA, state DOTs, FHWA, NOAA, and mapping providers. The Python API (pip install humanbaselines) enables programmatic access, and the source code is released under Apache License 2.0.

Differentiator

Problem solved

Functional benefit

Brands

• Human Crash Baselines: Interactive tool for computing human crash rates across city-level geofenced areas and trucking corridors, published as a methodologically transparent reference for assessing the relative safety of automated driving systems against human-driven baselines.

Products and services

• Human Crash Baselines Interactive web application and Python API that estimates human crash rates from public crash and roadway-exposure data across urban geofenced areas and highway trucking corridors. Enables autonomous vehicle operators, insurers, and regulators to compare automated driving system performance against human-driven baselines across configurable operational design domains. All methodology choices (crash severity definitions, vehicle types, weather conditions, time-of-day filters) are transparent and adjustable, with data sourced from NHTSA, state DOTs, FHWA, NOAA, and mapping providers.

Quantifiable outcome

• Reduces collision risk by 37% on vision-based aircraft detect-and-avoid task through risk-driven perception system design
• +1 more outcomes

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability8 records

Feature5 records

Scale indicators1 record

Recent moves6 records

Expansion highlights6 records

Broad incumbents

• dSPACE: dSPACE provides simulation, validation, and development tools widely used across the automotive industry for ADAS and autonomous driving development. Comparable as a broad incumbent in automotive safety validation tooling with a much larger product portfolio than Valgo.
• ANSYS: ANSYS provides engineering simulation software (including AV/ADAS scenarios and sensor simulation) used across automotive and aerospace industries. Comparable as a broad simulation incumbent with overlapping safety validation capabilities but much wider scope.
• AVL: AVL provides vehicle development, testing, and validation services and tools for the automotive and mobility industry, including for electrified and autonomous powertrains. Comparable as a broad automotive validation incumbent serving OEMs and Tier 1 suppliers.
• Hexagon (MSC Software): Hexagon's Manufacturing Intelligence division (including MSC Software) provides CAE, simulation, and validation tools used across automotive and aerospace safety engineering. Comparable as a broad engineering simulation incumbent.
• Aurora Innovation: Aurora operates an autonomous trucking program with substantial in-house safety validation, simulation, and risk assessment capabilities. Comparable as a major AV operator that builds internal validation functions — relevant buyer-side reference and potential competitor for in-house validation.

Direct peers

• Edge Case Research: Edge Case Research offers safety assessment, edge case identification, and validation services for autonomous systems and robotics. Directly comparable as a focused third-party AV/robotics safety validation specialist with academic ties.
• Applied Intuition: Applied Intuition provides simulation infrastructure and validation tools for AV and ADAS development, used by major automakers and AV operators. Directly comparable in addressing AV safety validation workflows through simulation-based testing.
• Foretellix: Foretellix provides scenario-based safety validation and coverage analytics for autonomous vehicles, enabling OEMs to measure safety progress. Directly comparable to Valgo as a third-party AV safety validation platform targeting deployment and insurance use cases.

Others

• Verisk: Verisk provides data analytics and risk assessment services extensively used by insurance carriers for underwriting and portfolio risk management. Comparable as an insurance-side risk analytics incumbent with potential overlap on the underwriting workflow side of Valgo's business.

Emerging players

• Basemark: Basemark builds software-defined vehicle tooling including real-time validation and AR overlays for automotive development. Comparable as an emerging player in software-defined vehicle validation, though broader than Valgo's pure risk quantification scope.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

• GitHubgithub.com/valgorithmic
• LinkedInlinkedin.com/company/valgorithmic
• Xx.com/valgorithmicinc

Revenue estimate

Valuation estimate

Number of profiles

Profiles5 records

Funding overview

Funding rounds1 record

Investors1 record

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

M&A

Investments

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

Frequently asked questions about Valgo