Synthgen

What Synthgen does

Synthgen is a synthetic data generation and automated labeling platform built for enterprise computer vision teams. Founded in late 2024 in Eindhoven, Netherlands, by master students Simeon Dimov and Martin Tomov of Fontys University of Applied Sciences, the company operates under the legal entity Vitosha Studio VOF and is headquartered in the Brainport region at Cederlaan 80, 5616 SC, with offices at TQ, Strijp-S within the SPARC Incubator Program. The platform combines diffusion models, zero-shot detection, and synthetic augmentation pipelines to generate pixel-perfect labeled images spanning bounding boxes, semantic segmentation, and classification annotations across color photos, grayscale surface scans, and X-ray imaging.

The product is structured around four integrated modules—Data Generation, Autolabel, Augmentation, and Quality (QC Validation)—forming an end-to-end data loop that the company claims replaces manual annotation and dataset stitching with a single workflow. The proprietary SCARCE benchmark (published June 2026) is a placebo-controlled, cross-domain study reporting +9 to +35 percentage point accuracy gains on the hardest, most data-starved class in each tested dataset across 8 industries, with stated 85% autolabel accuracy at approximately 100x manual annotator speed. Built-in integrations connect the platform to Hugging Face, Weights & Biases, and AWS S3, with export support for COCO, YOLO, Pascal VOC, and custom schemas.

Synthgen monetizes through usage-based self-serve pricing on its web app ($0.06 per generated image, $0.04 per autolabeled image, $0.005 per video frame, no minimum commitment) and through an enterprise tier with custom multi-year contracts, priority support, and direct engineering-team access. The company targets seven primary verticals—agriculture, manufacturing, healthcare, robotics, automotive, security, and aerospace/construction/real estate—with agritech (anchored by the Luxeed Robotics co-development for laser-weeding farm robots) as the lead commercial vertical. Distribution is global via the self-serve web platform, supplemented by European field sales and early Asia-market exploration via Shenzhen partnerships. To date the company has secured a €124,000 grant from the Netherlands Enterprise Agency through the MIT R&D-Samenwerkingsprojecten AI program (ranked 8th of 65 startups, 2025-2027 subsidy) and is backed by OWOW, with ecosystem support from SPARC Innovation and Fontys ICT.

Name

Synthgen

Legal name

Vitosha Studio VOF

Website

https://synthgen.co

Company type

Private

Founded year

2024

Operating status

Operating

Headcount range

1–10 employees

Short description

Synthgen is a synthetic data generation and automated labeling platform for enterprise computer vision teams, founded in late 2024 in Eindhoven, Netherlands. It sells usage-based self-serve and enterprise contracts across verticals including agriculture, manufacturing, healthcare, robotics, and automotive.

Ownership category

akta.pro rank

Product category

Synthetic Data Platform

NAICS

Computer and Peripheral Equipment Manufacturing (3341)

akta.pro primary industry

Synthetic Data Generation Platforms (HDAAALAA)

akta.pro secondary industries

Data Labeling & Annotation Services (HDAAALAB), Data Augmentation & Programmatic Labeling (HDAAALAH)

Keywords

• Synthetic data generation
• Automated image labeling
• Computer vision platform
• AI training data
• Data augmentation pipelines

Headquarters

HQ city

Eindhoven

HQ country

Netherlands

HQ region

Europe

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. Pay-as-you-go Data Generation: Customers pay per generated image for synthetic data creation. Starting price of $0.06 per image with volume discounts available for 10k+ images. No minimum commitment required.
2. Pay-as-you-go Autolabeling: AI-powered automated labeling charged at $0.04 per image and $0.005 per video frame. All annotation types (bounding boxes, segmentation, classification) included at the same per-image price.
3. Enterprise Platform: Custom project-based pricing for full platform capabilities including unlimited synthetic data generation, data augmentation pipelines, QC validation, model training optimization, priority support, and custom integrations. Billed as custom quotes tailored to workflow requirements.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels6 records

Core offering

Synthgen provides a synthetic data generation and automated image labeling platform for enterprise computer vision teams. The platform produces pixel-perfect labeled images for bounding boxes, semantic segmentation, and classification tasks, and packages generation, auto-labeling, augmentation, and QC validation into one pipeline, with output exportable to cloud and edge deployment.

Product overview

Synthgen is a synthetic data and automated labeling platform for computer vision, operating as a unified platform with four integrated modules: Data Generation, Autolabel, Augmentation, and Quality (QC Validation). Together these modules form a complete data loop from raw pixels to a production-ready model — generating synthetic image data, labeling it automatically during generation, expanding dataset diversity, and validating dataset integrity. The platform supports enterprise pay-as-you-go pricing starting at $0.06/image for generation and $0.04/image for autolabeling, with unlimited generation and full platform capabilities available at the Enterprise tier.

Differentiator

Problem solved

Functional benefit

Products and services

• Data Generation Standalone pay-as-you-go service that generates synthetic, labeled images for computer vision teams. Produces pixel-perfect labels for bounding boxes, semantic segmentation, and classification, and is sold independently at $0.06 per image to enterprise and individual vision practitioners.
• Autolabel Standalone pay-as-you-go automated image labeling service that uses zero-shot detection to produce labels without manual annotation. Priced at $0.04 per image and positioned as a drop-in replacement for manual labeling for enterprise computer vision teams.
• Enterprise Platform Subscription-based bundled enterprise offering that combines synthetic data generation, automated labeling, augmentation, QC validation, and model training optimization into a single end-to-end computer vision pipeline. Targets enterprise customers under NDAs with white-glove onboarding, custom subscription pricing, no platform fee, and no minimum commitment.

Quantifiable outcome

• Accuracy improvement of +9 to +35 percentage points on hardest classes when adding Synthgen synthetic data to real data alone (measured across 8 industries, 3 imaging types, placebo-controlled)
• +3 more outcomes

Named customers1 record

Segments7 records

Ideal customer profiles6 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration3 records

AI capability4 records

Feature6 records

Partnerships

Four partnerships are on record, tiered core and minor.

• Luxeed RoboticscoreStrategic or Co-development PartnerDutch farming robot company building robots that use lasers to eliminate weeds. Partnership with Synthgen to improve farming automation through synthetic data generation and AI training. Agriculture models trained on hybrid and fully synthetic datasets are performing strongly and improving monthly. Farm robots can be trained and deployed up to 10x faster using synthetic data and automated AI pipelines.
• SPARC Incubator Program / SPARC InnovationcoreStrategic or Co-development PartnerSynthgen joined the SPARC Incubator Program in February 2025, establishing presence at TQ, Strijp-S in Eindhoven's innovation ecosystem. SPARC is a cooperative platform connecting companies and education around shared innovation goals through the Fontys ICT InnovationLab ecosystem. Provides expert mentorship, network expansion, resource sharing, and ecosystem validation. In April 2026, Synthgen became a SPARC Innovation member.
• Fontys ICT (Partner in Innovation)coreStrategic or Co-development PartnerOfficial Partner in Innovation at Fontys ICT as of April 10, 2026. Partners in Innovation work in hybrid teams with students, lecturers, expertise centers, and partner companies on applied ICT research. For Synthgen, this enables co-creation with multidisciplinary teams around synthetic data and AI workflows, and building and validating computer vision solutions in applied research settings. Original collaboration from student project context at Fontys University of Applied Sciences.
• ITCSZ (Shenzhen Innovation & Entrepreneurship International Competition)minorGTM or Marketing PartnerSynthgen was invited by ITCSZ to participate in their event in Shenzhen, one of the world's most dynamic tech hubs. Discussions focused on synthetic data use cases for manufacturing, autonomous systems, and robotics with leading Chinese tech companies.

Scale indicators7 records

Recent moves10 records

Expansion highlights6 records

Direct peers

• Labelbox: Data labeling and annotation platform for computer vision and NLP, with model-assisted labeling and synthetic data capabilities. Comparable on the autolabel side and overlapping customer segments in enterprise CV.
• Gretel.ai: Synthetic data platform with focus on structured/tabular and text data, with growing CV/image capabilities. Comparable synthetic data-as-a-service model and developer-first positioning.
• Snorkel AI: Data-centric AI platform with programmatic labeling, weak supervision, and synthetic data generation for enterprise ML. Comparable on labeling automation and data generation for CV teams.
• Datagen: Synthetic visual data platform focused on computer vision, offering both synthetic data generation and annotation services. Closest direct competitor with similar end-to-end data pipeline orientation for CV teams.
• Synthesis AI (now Diversify): Generative AI platform producing synthetic data for computer vision training, with focus on human-centric datasets for face, body, and gesture recognition. Competes in same synthetic image generation category.
• Encord: Data development platform for computer vision with labeling, curation, and active learning workflows. Comparable target market (CV teams) and overlapping PLG-driven go-to-market motion.

Emerging players

• Datasaur: NLP-focused labeling platform expanding into computer vision with model-assisted labeling. Adjacent player with comparable platform approach to labeling workflows.
• Superb AI: Computer vision data platform with labeling, synthetic data, and dataset management capabilities. Comparable focus on CV-specific data workflows and enterprise customers.

Broad incumbents

• Scale AI: Largest data labeling and synthetic data platform, serving autonomous driving, government, and enterprise AI customers. Directly comparable on the autolabel and synthetic data value proposition, though Scale operates at much larger scale and broader scope.
• NVIDIA Omniverse Replicator: NVIDIA's synthetic data generation SDK for training AI models, integrated into Omniverse platform. Major incumbent threat with deeper engineering resources and ecosystem lock-in.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/synthgen

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

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 Synthgen