Datature
Datature is a Singapore-based no-code computer vision AI platform enabling enterprises and developers to annotate, train, and deploy vision models across healthcare, retail, smart cities, and manufacturing, served via self-serve SaaS, enterprise sales, and edge hardware partnerships.
- Company typePrivate
- Founded2020
- HeadquartersSingapore, Singapore
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Datature does
Datature is a Singapore-based no-code computer vision AI platform founded in 2020 that enables enterprises and developers to build, train, and deploy custom vision models without writing code. The platform is organized into three integrated modules — Label (AI-assisted data annotation with collaborative approval workflows), Train (drag-and-drop model training with hyperparameter tuning and visual evaluation), and Deploy (production deployment to cloud or edge environments via APIs). It supports classification, object detection, keypoint annotation for human pose estimation, pixel-level segmentation, and OCR, and has extended into fine-tuning foundation models such as PaliGemma and other vision-language models.
The company serves six primary verticals: medical and healthcare (DICOM image segmentation for diagnostics), retail and e-commerce (people counting, inventory, checkout monitoring), smart cities (traffic and safety), utilities and energy, agriculture, and manufacturing and construction (defect detection, safety monitoring). Named customers include Gardyn (agriculture startup), CenInspect/CentrovisioN (building inspection), and Brainscanology (medical imaging startup).
Datature operates a hybrid revenue model combining a self-serve subscription SaaS platform with a free tier and paid plans (including discounted academic pricing) and fee-based professional services for enterprise customers covering ideation workshops, proof-of-concept engagements, and integration testing. Go-to-market combines product-led growth via the nexus.datature.io platform, direct enterprise sales, and an emerging hardware channel through partnerships with ARBOR Technology and MemryX that embed Datature's software on edge AI devices for industrial and retail deployments. The company has raised approximately $10.5 million cumulatively across funding rounds in 2019, 2022, and 2024 from investors including Gradient, Openspace Capital, January Capital, and SGInnovate, and operates with 11-50 employees.
Datature firmographics
Firmographics- Name
- Datature
- Legal name
- Datature
- Website
- https://datature.com
- Company type
- Private
- Founded year
- 2020
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Datature is a Singapore-based no-code computer vision AI platform enabling enterprises and developers to annotate, train, and deploy vision models across healthcare, retail, smart cities, and manufacturing, served via self-serve SaaS, enterprise sales, and edge hardware partnerships.
- Ownership category
- akta.pro rank
Datature industry classification
Industry- Product category
- Computer Vision AI Platform
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computer Systems Design and Related Services (54151), Computer Systems Design Services (541512)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Programming Services (7371)
- akta.pro primary industry
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)
- akta.pro secondary industries
- Data Labeling & Annotation Services (HDAAALAB), Data App Builders (Forms, Portals & Internal Tools) (HDAEAKAK)
Keywords
Where Datature is headquartered
LocationHeadquarters
- HQ city
- Singapore
- HQ country
- Singapore
- HQ region
- Asia
Markets served
Datature business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
Revenue model
- Subscription / SaaS Platform Access: Datature operates on a subscription-based SaaS model where customers pay for access to the no-code Vision AI platform. Pricing tiers offer different capability levels and team sizes, with both monthly and annual billing options. The platform provides a free tier to enable initial experimentation and adoption. The model includes enterprise tiers with dedicated support and advanced features, as well as specialized academic and researcher pricing.
- Professional Services (POC & Integration): Datature offers fee-based professional services including single use-case proof-of-concept engagements (validating computer vision pipelines from dataset to deployable model) and integration testing and environment validation services. These are sold alongside the core platform to enterprise customers requiring guided deployment and validation support.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free / Starter Tier |
| Subscription | Annual | Academic & Researcher Pricing |
| Subscription | Monthly | Enterprise / Paid Tiers |
Go-to-market motion3 records
Distribution channels3 records
Marketing channels7 records
Datature product offering
Product offeringCore offering
Datature provides a no-code, end-to-end computer vision AI platform consisting of three integrated modules: Label (AI-assisted data annotation), Train (no-code model training and evaluation), and Deploy (cloud and edge production inference). It is offered as a SaaS subscription with a free tier, plus paid professional services (POC, integration testing, custom whitepapers) for enterprises across healthcare, retail, smart city, manufacturing, agriculture, and utilities.
Product overview
Datature is a unified no-code computer vision AI platform consisting of three core integrated modules: Train (model development and training), Label (AI-assisted data annotation), and Deploy (production deployment to edge and cloud). The platform enables enterprises and developers to manage datasets, fine-tune vision models, and deploy customized computer vision solutions without coding. Professional services including ideation workshops, whitepaper development, POC validation, and integration testing complement the self-service platform. Strategic partnerships with ARBOR Technology and MemryX extend the platform's capabilities into edge AI hardware acceleration for industrial applications.
Differentiator
Problem solved
Functional benefit
Products and services
- Train Model training module of the Datature platform that enables teams to build, train, and evaluate computer vision models through intuitive drag-and-drop workflows with hyperparameter tuning, model architecture selection, and visual performance evaluation against ground truth, designed for developers and enterprise teams without dedicated ML engineering resources.
- Label AI-powered image and video annotation module of the Datature platform providing pixel-perfect tools for segmentation masks, bounding boxes, 3D annotation, and keypoints, with AI-assisted auto-annotation, quality control, and collaborative approval and consensus workflows for team data labeling.
- Deploy Model deployment module of the Datature platform that enables trained computer vision models to be transitioned to production APIs in minutes, supporting both edge and cloud environments with real-time inference, robust security and compliance controls, data locality controls, secure authentication, and optimized resource allocation and scaling.
- Ideation, Custom Whitepaper & Proposal Professional service in which Datature's team works with enterprise customers to explore computer vision use cases, define a vision strategy, and deliver a tailored whitepaper and proposal that establishes the foundation for a successful Vision AI implementation.
- Single Use Case POC Professional service that validates a customer's computer vision pipeline through a focused proof-of-concept built around a specific use case, covering the full journey from dataset preparation to a deployable model.
- Single Use Case POC & Integration Testing Extended professional service that builds on the Single Use Case POC by adding integration testing and environment validation to ensure that the trained vision model performs reliably across real-world systems and workflows.
Quantifiable outcome
- Build production-ready datasets 10x faster using AI-assisted annotation tools
- +1 more outcomes
Companies that use Datature
Customer profileNamed customers3 records
Segments6 records
Ideal customer profiles2 records
Datature technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability7 records
Feature5 records
Datature partnerships and signals
Strategic signalPartnerships
Two partnerships are on record, tiered core.
- ARBOR TechnologycoreARBOR Technology partnered with Datature and MemryX to develop advanced Vision AI solutions at the edge for industrial applications. The collaboration integrates ARBOR's edge computing platforms with Datature's no-code Vision AI software and MemryX's AI accelerator chips, enabling rapid deployment of intelligent industrial applications without coding. This partnership enables Datature to reach industrial customers through ARBOR's hardware distribution channels.
- MemryXcoreMemryX partnered with Datature and ARBOR Technology to deliver edge AI computer vision solutions. The partnership combines MemryX's AI accelerator chips (running on Intel processors) with Datature's no-code Vision AI software to enable on-device inference for retail and industrial applications. At the NRF event, MemryX showcased use cases including people counting, checkout wait-time monitoring, and order accuracy verification developed in collaboration with Datature and Arbor Solution.
Recent moves6 records
Expansion highlights6 records
Datature competitors and assessment
Company assessmentDirect peers
- Roboflow: Direct no-code computer vision platform providing annotation, training, and deployment tools for developers and enterprises. Closest direct competitor to Datature across the Train, Label, Deploy workflow.
- Encord: AI data development platform focused on data labeling, curation, and model evaluation for computer vision. Competes directly with Datature's Label and Train modules, especially in healthcare and industrial verticals.
- V7 Labs: Training data platform combining annotation, dataset management, and model training for vision AI. Direct overlap with Datature's annotation and training capabilities.
- Labelbox: Data labeling and MLOps platform supporting computer vision and other modalities. Comparable platform approach to Datature with overlap in annotation, training data management, and enterprise workflows.
- SuperAnnotate: End-to-end annotation and MLOps platform for vision AI. Directly comparable to Datature across annotation, dataset management, and model training workflows.
- Landing AI: Computer vision platform founded by Andrew Ng focused on enterprise and industrial use cases. Overlaps with Datature's no-code positioning and industrial/retail vertical focus.
- Clarifai: AI platform offering data labeling, model training, and computer vision deployment for enterprise customers. Comparable full-stack approach to Datature with longer enterprise track record.
Broad incumbents
- Scale AI: Much larger AI data infrastructure company offering data labeling, evaluation, and fine-tuning services with significant enterprise footprint. Competes with Datature in annotation and enterprise vision AI workflows but at broader scale.
- AWS SageMaker (and Rekognition): Hyperscaler MLOps and pre-built vision AI services that compete with Datature on enterprise training and deployment, particularly for customers standardized on AWS infrastructure.
- Google Vertex AI Vision: Hyperscaler offering combining AutoML Vision, pre-trained APIs, and Vertex AI MLOps. Provides an alternative to Datature for enterprise vision workflows, especially for GCP-native customers.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights7 records
Customer concentration
Datature social profiles
Digital presenceDatature financial estimates
Financial estimateRevenue estimate
Valuation estimate
Datature leadership team
Management profileNumber of profiles
Profiles3 records
Datature funding detail
Funding detailFunding overview
Funding rounds3 records
Investors7 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Datature 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 Datature
What does Datature do?
Datature provides a no-code, end-to-end computer vision AI platform consisting of three integrated modules: Label (AI-assisted data annotation), Train (no-code model training and evaluation), and Deploy (cloud and edge production inference). It is offered as a SaaS subscription with a free tier, plus paid professional services (POC, integration testing, custom whitepapers) for enterprises across healthcare, retail, smart city, manufacturing, agriculture, and utilities.
Is Datature a public or private company?
Datature is a private company. It is classified as venture growth investor backed and is currently operating.
When was Datature founded?
Datature was founded in 2020. It employs 11 to 50 people.
Where is Datature based?
Datature is headquartered in Singapore, Singapore, in the Asia region.
How does Datature make money?
Two revenue lines are on record. Subscription / SaaS Platform Access are the primary driver. The others are professional Services (POC & Integration).
Who are Datature's main competitors?
Direct peers on record are Roboflow, Encord, V7 Labs, Labelbox, SuperAnnotate, Landing AI and Clarifai. Broad incumbents are Scale AI, AWS SageMaker (and Rekognition) and Google Vertex AI Vision.
Does Datature have an API?
Yes. Datature provides a computer vision API that enables seamless application integration for rapid deployment and real-time inference across any application environment. The platform supports flexible deployment options for smooth integration across devices and business processes. Developer documentation is at developers.datature.io/docs/introduction-to-datature.
What industry is Datature in?
Datature's product category is Computer Vision AI Platform. Its primary akta.pro industry code is HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs), with a secondary code of HDAAALAB, Data Labeling & Annotation Services. Its NAICS code is 51821 and its SIC code is 7372.