Synthesis 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.
- Company typePrivate
- Founded2019
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
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
Where Synthesis AI is headquartered
LocationHeadquarters
- 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
- 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 offeringCore 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 profileSegments1 record
Ideal customer profiles2 records
Synthesis AI technology and API
TechnologyTechnology 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 signalScale indicators4 records
Recent moves5 records
Expansion highlights5 records
Synthesis AI competitors and assessment
Company assessmentDirect 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 presenceSynthesis AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Synthesis AI leadership team
Management profileNumber of profiles
Profiles3 records
Synthesis AI funding detail
Funding detailFunding 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 investmentM&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.