AI DATA ANNOTATION PLATFORM
AI-Powered Annotation & Labeling Platform for Scalable, Governed Data
Annotate images, documents, and videos with speed, precision, and built-in governance – all in one intelligent workspace. Tagi5 helps AI teams create high-quality training data faster, with complete visibility, control, and confidence.
The Problem Landscape
Why Annotation Tools Are Breaking at Scale
As AI systems grow more complex, annotation workflows struggle to keep up. Data teams face fragmented tools, slow manual labeling, and poor quality control — making it harder to produce reliable training datasets.
Fragmented Annotation Tools
Separate tools for image, video, and document annotation create inconsistency.
Manual and Slow Labeling Workflows
Manual labeling slows down machine learning pipelines.
Limited Quality Assurance and Governance
Lack of audit trails impacts dataset reliability.
In-House Tools That Cannot Scale
Custom-built tools don’t scale for enterprise -- leading to slower models, more rework, and unreliable data.
The result? Slower models, rising rework, and datasets teams can't fully trust.
What Is Tagi5
A Unified Platform for Modern Data Annotation
Tagi5 is a unified AI annotation platform for labeling images, documents, and videos with speed, precision, and built-in governance.
Built for both enterprise AI programs and fast-growing teams, Tagi5 enables accurate, governed, and scalable data creation.
Supported Annotation Types
Images
Documents & PDFs
Videos
Supported Asset Types
Bounding Boxes
Polygons
Videos
OCR Entity Labeling
Masking
Key-Value Extraction
All managed through one consistent interface.
Why Tagi5 Exists
Built from Real AI Work, Not Assumptions
Operational Backbone
An operational backbone for AI data pipelines — not a side utility or short-term workaround.
Continuous Improvement
A subscription-based platform that improves continuously with every release.
Speed + Quality + Control
It exists so teams never have to choose between speed, quality, and control.
Core Value Proposition
Benefits of Using Tagi5 for
AI Data Labeling
Scalable Annotation Infrastructure
Handle large annotation volumes without performance loss.
High-Precision Labeling Tools
Maintain accuracy using advanced visual controls.
Faster Annotation Productivity
Automate repetitive tasks and reduce cycle time.
Built-In Quality Assurance
Ensure dataset reliability with reviewer workflows.
Flexible for SMBs and Enterprises
Affordable pricing with enterprise-grade performance.
"Built for teams who take data quality seriously — at every stage of growth."
What Makes Tagi5 Different
A Platform Designed for Real AI Operations
Product Showcase
See Tagi5 in Action
Explore Tagi5’s annotation dashboard, review interface, and analytics tools.
A Unified Workspace for Multi-Modal Annotation
Versatile Toolset:
Support for Bounding Boxes, Polygons, Kaytreme Nerigation and Keypoints
Contextual Interface:
Workspace adapts tool automatically Image Mode based on asset type
Accelerating Productivity with Bone- Smart Visual Controls
Hover-Based Object Recognition
Al suggests boundaries instantly when hovering over objects, reducing clicks.
In-Tool Image Editing
Adjust brightness, contrast, and inversion directly in the labeler to reveal obscure details
Unique Label Color Coding
High-contrast color palettes for complex taxonomies to reduce cognitive load
Precision tagging meets automation speed
The Governance Engine: Reviewer-First Workflows for Trusted Data
Accountability Framework
Audit Trails
Complete history of every annotation creation, edit, and deletion
Reviewer Control
Explicit approval/ rejection workflows with mandatory timestamps
Role-Based Access
Strict separation of duties between Annotators and Reviewers to ensure unbiased QA
Data you can trust for mission-critical models
Real-Time Annotation Intelligence
Unified Dashboard:
Track task progress, annotator performance, and quality metrics in one governed workspace
Actionable Insights:
Identify bottlenecks, improve consistency, and accelerate review cycles with data-backed visibility
Scale with Confidence:
Move from visibility to velocity — enabling faster, high-accuracy model readiness
How Tagi5 Works
From Raw Data to Training-Ready Datasets
Upload
Assets
Import images, documents, PDFs, and videos.
Annotate with Smart Tools
Apply bounding boxes, OCR, masking, and key-value tags.
AI-Assisted Suggestions
Accelerate labeling with intelligent predictions.
Review &
Approve
Validate outputs with full traceability.
Export for
Training
Generate structured datasets for ML pipelines.
Who It's For
Built for Teams That Depend on Data Quality
Enterprise ML & Data Operations Teams
Use Cases
- Large-scale supervised learning
- Multi-team AI programs
- Regulated or compliance-heavy environments
Pain Points Solved
- Fragmented workflows
- Limited governance
- Poor dataset visibility
Why Tagi5 Fits:
Unified workflows, analytics, and enterprise-grade controls.
Startups & Growing AI Companies
Use Cases
- Document and image tagging
- Rapid model prototyping
- Cost-efficient data creation
Pain Points Solved
- High tooling costs
- Steep learning curves
- Slow onboarding
Why Tagi5 Fits:
Affordable pricing, intuitive UX, and fast productivity.
Credibility & Measurable Impact
Built for Reliability and Scale
Deployment & Security
- SaaS, on-premise, and hybrid options
- Secure, enterprise-ready architecture
Governance Readiness
- Reviewer workflows
- Audit trails
- Role-based controls
Performance at Scale
- Supports thousands of parallel annotations
- Optimized for large datasets
Proven Impact
- 40–60% faster annotation cycles
- Higher labeling consistency
Turn Annotation into a Competitive Advantage
Tagi5 helps you move from raw data to trusted training datasets — faster, cleaner, and with full governance.
