Agit
- Company typePrivate
- Founded2019
- HeadquartersMaia, Portugal
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
Agit firmographics
Firmographics- Name
- Agit
- Legal name
- Agit Tech LLC
- Website
- https://agit.fit
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Ownership category
- akta.pro rank
Agit industry classification
Industry- Product category
- Synthetic Training Data for Computer Vision
- NAICS
- Motion Picture and Video Production (512110), Motion Picture and Video Industries (5121)
- SIC
- Services-Motion Picture & Video Tape Production (7812)
- akta.pro primary industry
- Domain-Specific Training Data Solutions (e.g., medical, AV, geospatial) (HDAAALAL)
- akta.pro secondary industries
- Dataset Discovery, Marketplaces & Licensing (HDAAALAE), 3D Vision, Depth Sensing & Point Cloud Analytics (HDAAAEAK)
Keywords
Where Agit is headquartered
LocationHeadquarters
- HQ city
- Maia
- HQ country
- Portugal
- HQ region
- Europe
Offices1 record
Markets served
Agit business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel, Marketing or Sales
Revenue model
- Synthetic Dataset Licensing: The company licenses datasets on an annual basis (12, 24, or 36 month terms). Customers receive access to synthetic motion data packages with different frame counts and exercise libraries depending on tier. The license allows use for internal R&D, model training, and deployment in final commercial applications. Data cannot be resold or redistributed.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Multi-year contract | Foundation: 150K frames with 30 exercises, 12-month license |
| Subscription | Multi-year contract | Professional: 2M frames with 200 exercises, 24-month license |
| Subscription | Multi-year contract | Enterprise: 10M+ frames with full library (700+ exercises), 36-month license |
Go-to-market motion1 record
Distribution channels2 records
Marketing channels4 records
Agit product offering
Product offeringCore offering
Agit generates and licenses high-fidelity, GDPR-compliant synthetic human motion datasets for training computer vision and AI models. The offering combines a proprietary motion capture library of 700+ exercises and daily-action movements with a procedural 3D rendering pipeline that produces pixel-accurate ground-truth labels including RGB video, depth maps, segmentation masks, and 2D/3D keypoints (COCO, MediaPipe, OpenPose, SAM 3D, dense). Datasets are sold as tiered multi-year licenses — Foundation, Professional, and Enterprise — targeted at AI/ML teams building fitness, MSK digital health, AR/VR, and robotics applications.
Product overview
AGIT provides synthetic motion data for AI and computer vision applications through three tiered data packages: Foundation, Professional, and Enterprise. The company generates high-fidelity synthetic video frames using professional motion capture recordings as ground truth, enabling AI/ML teams to train models for human motion understanding. The data includes perfect ground-truth labels (3D pose, depth maps, segmentation masks, keypoints) with pixel accuracy. Foundation offers entry-level access with 150K frames and basic modalities, Professional expands to 2M frames with full camera control and technical integration support, and Enterprise provides unlimited access to 10M+ frames with custom exercise additions, quarterly updates, and priority SLA. All data is 100% synthetic with no PII, eliminating GDPR/HIPAA compliance concerns.
Differentiator
Problem solved
Functional benefit
Products and services
- Foundation Foundation is an entry-level synthetic motion data package sold on a 12-month license to AI/ML teams needing ground-truth labeled motion data for early-stage R&D and prototyping. It delivers 150K frames covering 30 exercise types from Agit's mocap library (5K synthetic frames per exercise), with standard domain randomization and basic data modality (RGB plus sparse keypoints).
- Professional Professional is a mid-tier synthetic motion data package sold on a 24-month license to AI/ML teams scaling production models for human motion understanding. It delivers 2M frames covering 200 exercise types (10K synthetic frames per exercise), full camera control, full data modality (RGB, depth, segmentation, keypoints and more), and includes technical integration support.
- Enterprise Enterprise is a full-access synthetic motion data package sold on a 36-month license to enterprise AI/ML teams requiring unlimited access to Agit's mocap library and full custom data modalities. It delivers 10M+ frames covering the full library (700+ exercises plus other movements, 20K synthetic frames per exercise), advanced domain randomization, multi-camera rendering with full control, full data modality, custom exercise additions, quarterly dataset updates, and priority integration with SLA.
Quantifiable outcome
- Production-ready enterprise-scale dataset available in days or weeks instead of quarters
- +3 more outcomes
Companies that use Agit
Customer profileSegments3 records
Ideal customer profiles3 records
Agit technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability5 records
Feature5 records
Agit partnerships and signals
Strategic signalScale indicators4 records
Recent moves6 records
Expansion highlights2 records
Agit competitors and assessment
Company assessmentDirect peers
- Rendered.ai: Rendered.ai provides a platform-as-a-service for generating synthetic data for AI training across computer vision use cases. Directly comparable as a synthetic data infrastructure provider competing for similar ML team budgets.
- Sky Engine AI: Sky Engine AI offers a synthetic data and AI training platform for computer vision applications, including human-centric scenarios. Comparable as a synthetic data provider with similar privacy/compliance value proposition.
- Synthesis AI: Synthesis AI generates synthetic visual data for computer vision training, including human face and body data with pixel-perfect labels. Directly comparable as a synthetic data provider targeting CV/AI teams with privacy-compliant datasets.
- Mostly AI: Mostly AI (now SOM.ai) generates synthetic data for AI training, with emphasis on privacy-preserving datasets. Comparable in the broader synthetic data space, though primarily focused on tabular/synthetic records rather than visual motion.
- Datagen: Datagen provides synthetic visual data for computer vision applications across human-centric use cases. Comparable as a competitor in the synthetic human motion / pose data category serving AI/ML teams.
Broad incumbents
- Innodata: Innodata provides data engineering and AI data preparation services at enterprise scale, including annotation and synthetic data work for large foundation model customers. Adjacent incumbent in the AI training data services space.
- Labelbox: Labelbox operates a data labeling and management platform widely used by ML teams, with growing synthetic data capabilities. Comparable as a broader incumbent in the AI training data ecosystem that could expand into Agit's niche.
- Scale AI: Scale AI is the largest data labeling and synthetic data platform serving ML teams across autonomous driving, robotics, and government. Overlaps with Agit in synthetic data for CV training but operates at vastly broader scale and across more verticals.
Emerging players
- CVEDIA: CVEDIA provides synthetic data solutions for computer vision and edge AI applications, including smart city and industrial use cases. Overlaps with Agit in synthetic visual data for AI training but with different vertical focus.
- Kognic: Kognic provides dataset annotation and quality assurance for autonomous driving and ADAS perception systems, with overlap into motion and pose data. Comparable as a data quality provider for safety-critical CV applications.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat4 records
Key risks6 records
Key highlights6 records
Customer concentration
Agit social profiles
Digital presenceAgit compliance and trust
Trust signalCompliance2 records
Agit financial estimates
Financial estimateRevenue estimate
Valuation estimate
Agit leadership team
Management profileNumber of profiles
Agit funding detail
Funding detailFunding overview
Funding rounds1 record
Investors1 record
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Agit 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 Agit
What does Agit do?
Agit generates and licenses high-fidelity, GDPR-compliant synthetic human motion datasets for training computer vision and AI models. The offering combines a proprietary motion capture library of 700+ exercises and daily-action movements with a procedural 3D rendering pipeline that produces pixel-accurate ground-truth labels including RGB video, depth maps, segmentation masks, and 2D/3D keypoints (COCO, MediaPipe, OpenPose, SAM 3D, dense). Datasets are sold as tiered multi-year licenses — Foundation, Professional, and Enterprise — targeted at AI/ML teams building fitness, MSK digital health, AR/VR, and robotics applications.
Is Agit a public or private company?
Agit is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Agit founded?
Agit was founded in 2019. It employs 1 to 10 people.
Where is Agit based?
Agit is headquartered in Maia, Portugal, in the Europe region.
How does Agit make money?
One revenue line is on record: synthetic Dataset Licensing.
Who are Agit's main competitors?
Direct peers on record are Rendered.ai, Sky Engine AI, Synthesis AI, Mostly AI and Datagen. Broad incumbents are Innodata, Labelbox and Scale AI. Emerging players are CVEDIA and Kognic.
Does Agit have an API?
No public API is recorded for Agit.
What industry is Agit in?
Agit's product category is Synthetic Training Data for Computer Vision. Its primary akta.pro industry code is HDAAALAL, Domain-Specific Training Data Solutions (e.g., medical, AV, geospatial), with a secondary code of HDAAALAE, Dataset Discovery, Marketplaces & Licensing. Its NAICS code is 512110 and its SIC code is 7812.