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Synthesis AI

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uuid0000lbn

Namestring
Synthesis AI
Websiteurl
synthesis.ai
Company typeenum
Private
Founded yearint
2019
Descriptiontext

Synthesis AI is a San Francisco-based, venture-backed company founded in 2019 that provides a synthetic data generation platform purpose-built for computer vision AI and digital human development. The company's core technology generates artificial image and video datasets that preserve the statistical properties of real-world data while eliminating privacy and regulatory constraints, addressing a key bottleneck in CV model training where real data is expensive, biased, or restricted. The platform has been extended beyond traditional object and scene recognition into digital human avatar synthesis, targeting use cases in virtual customer service, entertainment, healthcare, and telemedicine. The company operates an enterprise B2B go-to-market with direct field sales targeting AI and computer vision teams, monetizing through licensing of synthetic datasets on quote-based, undisclosed pricing.

The business is structured as a private company with cumulative disclosed funding of approximately $21.7 million across a seed round ($4.5M, April 2021), a Series A ($17M, April 2022, led by 468 Capital), and a smaller Gaingels check ($168,889, January 2024). The company employs 11-50 staff and is led by founder and CEO Yashar Behzadi, with research leadership under Chief Research Officer Sergey Nikolenko. Strategic investors include iRobot Ventures and Sorenson Ventures, suggesting alignment with robotics and AI-native verticals. Synthesis AI has executed at least one acquisition (Achillé, April 2019) to bolster its technology stack.

Synthesis AI operates in a high-growth category: third-party market analyses cited in the source data project the synthetic data generation market from approximately $300M in 2023 to over $1B by 2027 (~35% CAGR), with a longer-horizon estimate of $8.9B by 2036 in industrial vision subsegments. The company's horizontal segmentation strategy, focus on enterprise AI customers, and absence of publicly disclosed named customers or ARR create both a large upside opportunity and meaningful visibility gaps for prospective investors evaluating revenue durability, customer concentration, and competitive moat depth.

Short descriptiontext

Synthesis AI is a San Francisco-based synthetic data generation platform founded in 2019 that provides computer vision AI training datasets and digital human avatars to enterprise AI teams across robotics, healthcare, entertainment, and customer service verticals.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersSan Francisco, United States
HQ citystring
San Francisco
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Keyword5 values
synthetic data generation, computer vision training, AI training data, digital human technology, synthetic image data
Industry3 codes
1Synthetic Data Generation Platforms
CodeHDAAALAAPrimaryYes
2End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management)
CodeHDAEANAAPrimaryNo
3AI/ML Engineering & Model Development Services
CodeBPAEAHAFPrimaryNo
NAICS code1 code
  • Software Publishers5132
SIC code2 codes
  • Services-Prepackaged Software7372
  • Services-Computer Processing & Data Preparation7374
Product category
Synthetic Data Platform for Computer Vision AI
Social media profiles1 record
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1Synthetic Data Licensing
TypeLicensing Royalties
Description

Synthesis AI generates revenue by providing synthetic data services to enterprises developing computer vision AI models. The company creates artificial datasets that can be used for AI training without privacy concerns.

vcaonline.com
Marketing channels2 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels1 record

Each record includes

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

Cost components5 values
Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Synthesis AI provides a synthetic data generation platform that produces artificial image and video datasets for training computer vision AI models. The platform creates data that preserves the statistical properties of real-world datasets while removing privacy, regulatory, and real-world collection-cost barriers, and includes functionalities for developing digital human avatars used in virtual customer service, entertainment, and healthcare applications.

Differentiator
Functional benefit
Problem solved
Product overview1 text field

Synthesis AI is a company specializing in synthetic data generation for computer vision AI applications. The company develops synthetic data technologies to support AI model training, with a focus on digital human development. However, specific named products or modules are not available in the provided sources, and the company website (synthesis.ai) is currently unavailable.

Product and service1 record
1Synthetic data generation platform for computer vision AI
CategorySynthetic Data Platform
Description

A data generation platform that produces synthetic image and video training datasets for computer vision AI, preserving the statistical properties of real-world data while eliminating privacy and collection-cost barriers. Sold to enterprise AI teams building computer vision systems.

Scale indicator4 records

Each record includes

Type, Value, Description, Source

Recent move5 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Gretel.ai provides a synthetic data platform for AI/ML training across structured and unstructured data, with strong privacy and data quality tooling. It is the closest direct peer to Synthesis AI, competing in the same enterprise synthetic data category and serving similar data scientist and ML engineer buyers.

TypeDirect peer
Description

Tonic.ai offers a synthetic data platform primarily for structured/tabular data, de-identification, and safe data sharing in development environments. It overlaps with Synthesis AI in the synthetic data infrastructure category and in selling to enterprise data and ML teams.

TypeDirect peer
Description

MOSTLY AI is a synthetic data company focused on privacy-safe synthetic tabular data for enterprise analytics and AI training. It competes with Synthesis AI in the broader synthetic data market and shares a similar enterprise sales motion.

TypeDirect peer
Description

Hazy provides synthetic data generation for enterprise AI and analytics use cases, with emphasis on tabular and time-series data. It is a direct competitor in the synthetic data platform category, targeting financial services and other regulated industries.

TypeDirect peer
Description

Datagen (now part of Meta) generated synthetic visual data for computer vision model training, closely overlapping with Synthesis AI's core offering of synthetic image and 3D data for vision AI. Its acquisition by Meta illustrates the strategic value of synthetic visual data.

TypeDirect peer
Description

Sky Engine AI offers a synthetic data and computer vision platform for enterprise AI training, with emphasis on industrial inspection and 3D environments. It is a direct peer in the synthetic data for computer vision category.

TypeDirect peer
Description

CVEDIA provides synthetic data generation for computer vision applications, including retail, mobility, and industrial use cases. It competes directly with Synthesis AI in synthetic data for vision AI.

TypeBroad incumbent
Description

NVIDIA offers synthetic data generation capabilities through Omniverse and Replicator as part of its broader AI and simulation platform. While not a standalone synthetic data vendor, it competes for the same enterprise computer vision budget and benefits from deep platform integration.

TypeBroad incumbent
Description

Microsoft includes synthetic data generation and data anonymization features in its Azure data and AI platform, competing for the same enterprise data preparation and AI training workloads as Synthesis AI but as part of a much broader cloud offering.

TypeEmerging player
Description

Zumo Labs produces synthetic video and image data for computer vision training, with a focus on human-centric and edge-case scenarios. It is an emerging direct competitor to Synthesis AI in the synthetic visual data niche.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Segment1 record

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
No

Docs URL, Description

AI capability3 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature2 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles3 records

Each record includes

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

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds5 records

Each record includes

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

Investors12 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&A1 record

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 →

Synthesis AI

Synthetic Data Platform for Computer Vision AIsynthesis.ai

Synthesis AI is a San Francisco-based synthetic data generation platform founded in 2019 that provides computer vision AI training datasets and digital human avatars to enterprise AI teams across robotics, healthcare, entertainment, and customer service verticals.

What Synthesis AI does

Synthesis AI is a San Francisco-based, venture-backed company founded in 2019 that provides a synthetic data generation platform purpose-built for computer vision AI and digital human development. The company's core technology generates artificial image and video datasets that preserve the statistical properties of real-world data while eliminating privacy and regulatory constraints, addressing a key bottleneck in CV model training where real data is expensive, biased, or restricted. The platform has been extended beyond traditional object and scene recognition into digital human avatar synthesis, targeting use cases in virtual customer service, entertainment, healthcare, and telemedicine. The company operates an enterprise B2B go-to-market with direct field sales targeting AI and computer vision teams, monetizing through licensing of synthetic datasets on quote-based, undisclosed pricing.

The business is structured as a private company with cumulative disclosed funding of approximately $21.7 million across a seed round ($4.5M, April 2021), a Series A ($17M, April 2022, led by 468 Capital), and a smaller Gaingels check ($168,889, January 2024). The company employs 11-50 staff and is led by founder and CEO Yashar Behzadi, with research leadership under Chief Research Officer Sergey Nikolenko. Strategic investors include iRobot Ventures and Sorenson Ventures, suggesting alignment with robotics and AI-native verticals. Synthesis AI has executed at least one acquisition (Achillé, April 2019) to bolster its technology stack.

Synthesis AI operates in a high-growth category: third-party market analyses cited in the source data project the synthetic data generation market from approximately $300M in 2023 to over $1B by 2027 (~35% CAGR), with a longer-horizon estimate of $8.9B by 2036 in industrial vision subsegments. The company's horizontal segmentation strategy, focus on enterprise AI customers, and absence of publicly disclosed named customers or ARR create both a large upside opportunity and meaningful visibility gaps for prospective investors evaluating revenue durability, customer concentration, and competitive moat depth.

Synthesis AI firmographics

Firmographics
Name
Synthesis AI
Website
https://synthesis.ai
Company type
Private
Founded year
2019
Operating status
Operating
Headcount range
11–50 employees
Short description
Synthesis AI is a San Francisco-based synthetic data generation platform founded in 2019 that provides computer vision AI training datasets and digital human avatars to enterprise AI teams across robotics, healthcare, entertainment, and customer service verticals.
Ownership category
akta.pro rank

Synthesis AI industry classification

Industry
Product category
Synthetic Data Platform for Computer Vision AI
NAICS
Software Publishers (5132)
SIC
Services-Prepackaged Software (7372), Services-Computer Processing & Data Preparation (7374)
akta.pro primary industry
Synthetic Data Generation Platforms (HDAAALAA)
akta.pro secondary industries
End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), AI/ML Engineering & Model Development Services (BPAEAHAF)

Keywords

  • Synthetic data generation
  • Computer vision training
  • AI training data
  • Digital human technology
  • Synthetic image data

Where Synthesis AI is headquartered

Location

Headquarters

HQ city
San Francisco
HQ country
United States
HQ region
North America

Markets served

Synthesis AI business model

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

Revenue model

  1. Synthetic Data Licensing: Synthesis AI generates revenue by providing synthetic data services to enterprises developing computer vision AI models. The company creates artificial datasets that can be used for AI training without privacy concerns.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels2 records

Synthesis AI product offering

Product offering

Core offering

Synthesis AI provides a synthetic data generation platform that produces artificial image and video datasets for training computer vision AI models. The platform creates data that preserves the statistical properties of real-world datasets while removing privacy, regulatory, and real-world collection-cost barriers, and includes functionalities for developing digital human avatars used in virtual customer service, entertainment, and healthcare applications.

Product overview

Synthesis AI is a company specializing in synthetic data generation for computer vision AI applications. The company develops synthetic data technologies to support AI model training, with a focus on digital human development. However, specific named products or modules are not available in the provided sources, and the company website (synthesis.ai) is currently unavailable.

Differentiator

Problem solved

Functional benefit

Products and services

  • Synthetic data generation platform for computer vision AI A data generation platform that produces synthetic image and video training datasets for computer vision AI, preserving the statistical properties of real-world data while eliminating privacy and collection-cost barriers. Sold to enterprise AI teams building computer vision systems.

Companies that use Synthesis AI

Customer profile

Segments1 record

Ideal customer profiles2 records

Synthesis AI technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability3 records

Feature2 records

Synthesis AI partnerships and signals

Strategic signal

Scale indicators4 records

Recent moves5 records

Expansion highlights5 records

Synthesis AI competitors and assessment

Company assessment

Direct peers

  • Gretel.ai: Gretel.ai provides a synthetic data platform for AI/ML training across structured and unstructured data, with strong privacy and data quality tooling. It is the closest direct peer to Synthesis AI, competing in the same enterprise synthetic data category and serving similar data scientist and ML engineer buyers.
  • Tonic.ai: Tonic.ai offers a synthetic data platform primarily for structured/tabular data, de-identification, and safe data sharing in development environments. It overlaps with Synthesis AI in the synthetic data infrastructure category and in selling to enterprise data and ML teams.
  • MOSTLY AI: MOSTLY AI is a synthetic data company focused on privacy-safe synthetic tabular data for enterprise analytics and AI training. It competes with Synthesis AI in the broader synthetic data market and shares a similar enterprise sales motion.
  • Hazy: Hazy provides synthetic data generation for enterprise AI and analytics use cases, with emphasis on tabular and time-series data. It is a direct competitor in the synthetic data platform category, targeting financial services and other regulated industries.
  • Datagen: Datagen (now part of Meta) generated synthetic visual data for computer vision model training, closely overlapping with Synthesis AI's core offering of synthetic image and 3D data for vision AI. Its acquisition by Meta illustrates the strategic value of synthetic visual data.
  • Sky Engine AI: Sky Engine AI offers a synthetic data and computer vision platform for enterprise AI training, with emphasis on industrial inspection and 3D environments. It is a direct peer in the synthetic data for computer vision category.
  • CVEDIA: CVEDIA provides synthetic data generation for computer vision applications, including retail, mobility, and industrial use cases. It competes directly with Synthesis AI in synthetic data for vision AI.

Broad incumbents

  • NVIDIA (Omniverse / Replicator): NVIDIA offers synthetic data generation capabilities through Omniverse and Replicator as part of its broader AI and simulation platform. While not a standalone synthetic data vendor, it competes for the same enterprise computer vision budget and benefits from deep platform integration.
  • Microsoft (Azure / synthetic data offerings): Microsoft includes synthetic data generation and data anonymization features in its Azure data and AI platform, competing for the same enterprise data preparation and AI training workloads as Synthesis AI but as part of a much broader cloud offering.

Emerging players

  • Zumo Labs: Zumo Labs produces synthetic video and image data for computer vision training, with a focus on human-centric and edge-case scenarios. It is an emerging direct competitor to Synthesis AI in the synthetic visual data niche.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

Synthesis AI social profiles

Digital presence

Synthesis AI financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Synthesis AI leadership team

Management profile

Number of profiles

Profiles3 records

Synthesis AI funding detail

Funding detail

Funding overview

Funding rounds5 records

Investors12 records

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

Synthesis AI M&A and investment

M&A and investment

M&A1 record

Investments

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

Frequently asked questions about Synthesis AI

What does Synthesis AI do?

Synthesis AI provides a synthetic data generation platform that produces artificial image and video datasets for training computer vision AI models. The platform creates data that preserves the statistical properties of real-world datasets while removing privacy, regulatory, and real-world collection-cost barriers, and includes functionalities for developing digital human avatars used in virtual customer service, entertainment, and healthcare applications.

Is Synthesis AI a public or private company?

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

When was Synthesis AI founded?

Synthesis AI was founded in 2019. It employs 11 to 50 people.

Where is Synthesis AI based?

Synthesis AI is headquartered in San Francisco, United States, in the North America region.

How does Synthesis AI make money?

One revenue line is on record: synthetic Data Licensing.

Who are Synthesis AI's main competitors?

Direct peers on record are Gretel.ai, Tonic.ai, MOSTLY AI, Hazy, Datagen, Sky Engine AI and CVEDIA. Broad incumbents are NVIDIA (Omniverse / Replicator) and Microsoft (Azure / synthetic data offerings). Zumo Labs is listed as an emerging player.

Does Synthesis AI have an API?

No public API is recorded for Synthesis AI.

What industry is Synthesis AI in?

Synthesis AI's product category is Synthetic Data Platform for Computer Vision AI. Its primary akta.pro industry code is HDAAALAA, Synthetic Data Generation Platforms, with a secondary code of HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management). Its NAICS code is 5132 and its SIC code is 7372.

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Live signals
Fact.MRSynthetic Vision Datasets Market, Global Market Analysis ReportFact.MR published a market analysis projecting the synthetic vision datasets market to grow from USD 0.3 billion in 2025 to USD 4.1 billion by 2036, representing a 26.2% CAGR, with an absolute opportunity of USD 3.7 billion driven by demand from manufacturing inspection, robotics training, and edge AI applications. The report identifies Simulation-Rendered datasets (36.0% share in 2026) and Object Detection (34.0% share) as leading segments, while South Korea (29.6% CAGR) and China (29.1% CAGR) lead regional growth backed by robotics policy and AI infrastructure investments. NVIDIA leads the competitive landscape through generation tools including its Gretel acquisition in 2025, followed by scene realism specialists Synthesis AI, Parallel Domain, Rendered.ai, and Anyverse.BIIA.comSynthetic Data Generation Market Is Growing at a CAGR of 46.3% During the 2025 – 2035Market Research Future projects the synthetic data generation market will grow from USD 0.77 billion in 2025 to USD 34.62 billion by 2035, driven by AI adoption and privacy regulations. Key industry players such as Mostly AI, Synthesis AI, and tech giants like Google and Microsoft are expanding their offerings to meet demand across healthcare, finance, and autonomous vehicle sectors. The report highlights significant opportunities in data anonymization and model training while noting challenges related to data quality and standardization.YahooGlobant S.A. (GLOB) Partners with Synthesis AI to Develop AI ApplicationsGlobant announced a strategic partnership with Synthesis AI on September 25 to develop AI-powered digital twin applications. The collaboration aims to integrate Synthesis AI's synthetic datasets to accelerate AI system development and unlock new revenue opportunities.Strategic Market ResearchSynthetic Data Generation Market Size ($9.7 Billion) 2030Strategic Market Research projects the global synthetic data generation market to grow from $1.3 billion in 2024 to $9.7 billion by 2030, driven by advances in generative AI and stricter data privacy regulations. Key industry players including Mostly AI, Synthesis AI, and Gretel.ai are expanding their capabilities through funding and partnerships to meet demand across healthcare, finance, and automotive sectors.StartupSeekerTop Synthetic Data Platform StartupsThe article presents a curated list of startups operating in the synthetic data, data privacy, and AI infrastructure sectors, highlighting their core technologies and funding status. It details specific companies such as Synthesis AI, DataCebo, and MOSTLY AI, noting their origins, employee counts, and capital raised ranging from $5M to over $50M. The content serves as an industry overview rather than reporting on a single discrete corporate event.LinkedInSynthetic Reality: Why Fake Data Might Be the Future of AI TrainingThe article explores the growing adoption of synthetic data as a strategic solution for AI training, addressing challenges related to privacy regulations and data scarcity. It highlights key industry players including NVIDIA, Gretel.ai, Mostly AI, and Synthesis AI who are developing technologies to generate artificial datasets that mimic real-world distributions. The piece outlines applications across healthcare, finance, and autonomous driving, emphasizing benefits like cost efficiency and compliance while noting technical challenges such as validation and bias.TomtunguzWhy Synthetic Data Is the Secret Weapon for AI Startups in 2025AI startups in 2024 increasingly leveraged synthetic data to outperform competitors reliant on traditional data collection methods. Notably, Synthesis AI experienced a growth of 410.6%, and Datagen raised $72M, highlighting the financial viability of synthetic data in the AI sector. This trend signifies a shift in investment strategies, as startups focusing on model optimization rather than data hoarding are likely to gain competitive advantages.SideFXSynthetic Data for AI/MLThe article outlines the use of synthetic data to train, test, and validate machine learning models by leveraging procedural workflows from SideFX Houdini. It highlights collaborations between NVIDIA, Endava, and Synthesis AI to generate scalable, diverse datasets for applications such as autonomous systems, dental imaging, and automated human synthesis.SciforceThe Rise of Synthetic Data: Trendy Solution or Long-Term Strategy?An explainer article describes synthetic data as algorithmically generated data that mimics real-world patterns without using actual records, covering uses in AI training, software testing, healthcare, finance, telecom and retail. It cites Gartner's forecast that synthetic data will exceed real data in AI training by 2030, with the market growing from $351.2 million in 2023 to $2,339.8 million at 31.1% CAGR. The piece also details creation methods, tools like Synthea, Hazy and Datagen, and SciForce's oncology patient similarity research.Medium9 Open-Source Tools to Generate Synthetic DataA blog post from Open Data Science lists nine open-source tools for generating synthetic data, including CTGAN, DoppelGANger, Synner, Synthea, SDV, TGAN, MirrorDataGenerator, Plaitpy and SmartNoise. The article describes each tool's approach, such as GANs, differential privacy and patient simulation, and cites applications in data augmentation, privacy preservation and healthcare research.