Build & Train AI
Vertical AI
Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.
Build & Train AI
Vertical AI
Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.
Build & Train AI
Vertical AI
Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.
Build & Train AI
Vertical AI
Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.
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Data Canvas
Data Canvas
Data Canvas
The Unified Command Center
The Unified Command Center
The Unified Command Center
Powering AI Data Operations
Powering AI Data Operations
Powering AI Data Operations
Data Canvas is Centific’s next-generation annotation and data transformation platform that turns raw data into model-ready assets. Through end-to-end workflows, from preprocessing to QA and post-processing, it ensures consistent, high-quality data for AI, analytics, and research at scale.
The hidden infrastructure behind world-class AI models
The hidden infrastructure behind world-class AI models
The hidden infrastructure behind world-class AI models
Overview
Overview
The Foundation of AI Performance
The Foundation of AI Performance
Built on Quality.
Built on Quality.
Built on Quality.
Data annotation is the backbone of every AI/ML pipeline; without high-quality labels, models cannot reliably learn patterns, make accurate predictions, or generate meaningful insights.
High-quality training data is created through disciplined processes, expert review, and continuous improvement, not just tools. Data Canvas brings these elements together in a single operational layer, enabling teams to transform raw data into dependable, model-ready assets with consistency, traceability, and scale.
Data annotation is the backbone of every AI/ML pipeline; without high-quality labels, models cannot reliably learn patterns, make accurate predictions, or generate meaningful insights.
High-quality training data is created through disciplined processes, expert review, and continuous improvement, not just tools. Data Canvas brings these elements together in a single operational layer, enabling teams to transform raw data into dependable, model-ready assets with consistency, traceability, and scale.
End-to-End Data Transformation
Raw data must pass through multiple stages before it is usable for machine learning. Data Canvas provides a unified pipeline for preprocessing, annotation, quality assurance, and post-processing; ensuring that every dataset is consistently transformed, validated, and delivered in model-ready formats. This removes manual handoffs and enforces standards across the full data lifecycle.
End-to-End Data Transformation
Raw data must pass through multiple stages before it is usable for machine learning. Data Canvas provides a unified pipeline for preprocessing, annotation, quality assurance, and post-processing; ensuring that every dataset is consistently transformed, validated, and delivered in model-ready formats. This removes manual handoffs and enforces standards across the full data lifecycle.
Enabling Complex Use Cases
From autonomous driving and medical imaging to natural language processing and video analytics, many advanced AI applications depend on richly annotated data to handle edge cases, rare conditions, and nuanced scenarios. Data Canvas supports these high-complexity workflows by enabling multi-modal annotation, layered labels, and continuous refinement—so models can learn from the full depth and variability of real-world data.
Enabling Complex Use Cases
From autonomous driving and medical imaging to natural language processing and video analytics, many advanced AI applications depend on richly annotated data to handle edge cases, rare conditions, and nuanced scenarios. Data Canvas supports these high-complexity workflows by enabling multi-modal annotation, layered labels, and continuous refinement—so models can learn from the full depth and variability of real-world data.
Scalable Collaboration & Automation
Modern annotation projects involve distributed teams, large data volumes, and evolving requirements. Data Canvas enables role-based collaboration, workflow orchestration, and AI-assisted labeling, allowing organizations to scale annotation programs efficiently while maintaining visibility, control, and performance.
Scalable Collaboration & Automation
Modern annotation projects involve distributed teams, large data volumes, and evolving requirements. Data Canvas enables role-based collaboration, workflow orchestration, and AI-assisted labeling, allowing organizations to scale annotation programs efficiently while maintaining visibility, control, and performance.
Regulatory-Ready Data for Auditable AI
In regulated industries such as healthcare and financial services, training data must be accurate, traceable, and auditable. Data Canvas provides structured workflows, version history, and review trails that support regulatory requirements and defensible AI systems.
Regulatory-Ready Data for Auditable AI
In regulated industries such as healthcare and financial services, training data must be accurate, traceable, and auditable. Data Canvas provides structured workflows, version history, and review trails that support regulatory requirements and defensible AI systems.
Where Data Quality Begins
Where Data Quality Begins
AI Enablement Built for Scale
Trusted by Global Enterprises
Data Canvas provides a structured environment for preparing, validating, and managing data across AI workflows. It standardizes how datasets move through transformation, review, and delivery while maintaining consistency, traceability, and quality at scale.
Data Canvas provides a structured environment for preparing, validating, and managing data across AI workflows. It standardizes how datasets move through transformation, review, and delivery while maintaining consistency, traceability, and quality at scale.
Data Ingestion & Preprocessing
Import and prepare large volumes of structured and unstructured data across images, text, video, audio, and documents. Built-in cleaning, normalization, and transformation tools ensure all inputs are annotation-ready.
Data Ingestion & Preprocessing
Import and prepare large volumes of structured and unstructured data across images, text, video, audio, and documents. Built-in cleaning, normalization, and transformation tools ensure all inputs are annotation-ready.
Data Ingestion & Preprocessing
Import and prepare large volumes of structured and unstructured data across images, text, video, audio, and documents. Built-in cleaning, normalization, and transformation tools ensure all inputs are annotation-ready.
Annotation & Labeling Tooling
Support bounding boxes, segmentation, keypoints, text, and audio labeling using intuitive tools with built-in automation and AI-assisted workflows.
Annotation & Labeling Tooling
Support bounding boxes, segmentation, keypoints, text, and audio labeling using intuitive tools with built-in automation and AI-assisted workflows.
Annotation & Labeling Tooling
Support bounding boxes, segmentation, keypoints, text, and audio labeling using intuitive tools with built-in automation and AI-assisted workflows.
Quality Assurance & Review
Built-in review workflows ensure accuracy and consistency through conflict resolution and consensus mechanisms, supported by automated checks for labeling errors and inconsistencies.
Quality Assurance & Review
Built-in review workflows ensure accuracy and consistency through conflict resolution and consensus mechanisms, supported by automated checks for labeling errors and inconsistencies.
Quality Assurance & Review
Built-in review workflows ensure accuracy and consistency through conflict resolution and consensus mechanisms, supported by automated checks for labeling errors and inconsistencies.
Post-Processing & Enrichment
Validate, format, and transform labeled data for ML pipelines, enrich datasets with metadata and derived features, and export in standard formats for training, evaluation, and analytics.
Post-Processing & Enrichment
Validate, format, and transform labeled data for ML pipelines, enrich datasets with metadata and derived features, and export in standard formats for training, evaluation, and analytics.
Post-Processing & Enrichment
Validate, format, and transform labeled data for ML pipelines, enrich datasets with metadata and derived features, and export in standard formats for training, evaluation, and analytics.
Collaboration & Workflow
Enable role-based access for annotators, reviewers, and project managers with task assignment, progress tracking, orchestration, and in-platform communication.
Collaboration & Workflow
Enable role-based access for annotators, reviewers, and project managers with task assignment, progress tracking, orchestration, and in-platform communication.
Collaboration & Workflow
Enable role-based access for annotators, reviewers, and project managers with task assignment, progress tracking, orchestration, and in-platform communication.
Scalability & Automation
Support high-volume projects with AI-assisted labeling, semi-automated workflows, and flexible deployment across cloud, hybrid, or on-prem environments.
Scalability & Automation
Support high-volume projects with AI-assisted labeling, semi-automated workflows, and flexible deployment across cloud, hybrid, or on-prem environments.
Scalability & Automation
Support high-volume projects with AI-assisted labeling, semi-automated workflows, and flexible deployment across cloud, hybrid, or on-prem environments.
Centific Ecosystem
The Complete AI Stack
Built to advance, deploy, and govern intelligence
Build & Train AI
Platforms
Verticals
Centific Ecosystem
The Complete AI Stack
Built to advance, deploy, and govern intelligence
Build & Train AI
Platforms
Verticals
Centific Ecosystem
The Complete AI Stack
Built to advance, deploy, and govern intelligence
Build & Train AI
Platforms
Verticals
Blog
Research, insights, and updates
from the front lines of AI.
From applied research to real-world deployments, explore how Centific advances AI through data, evaluation, and expert-led execution.
Research, insights, and updates
from the front lines of AI.
From applied research to real-world deployments, explore how Centific advances AI through data, evaluation, and expert-led execution.
Research, insights, and updates
from the front lines of AI.
From applied research to real-world deployments, explore how Centific advances AI through data, evaluation, and expert-led execution.
Customer Stories
Proven results
with leading AI teams.
See how organizations use Centific’s data and expert services to build, deploy, and scale production-ready AI.
Newsletter
Stay ahead of what’s next
Stay ahead
Updates from the frontier of AI data.
Receive updates on platform improvements, new workflows, evaluation capabilities, data quality enhancements, and best practices for enterprise AI teams.