From raw data to production-ready AI — on one platform.
Dataset Management + Labeling + Training + MLOps
Intellabel unifies data labeling, dataset management, model training, and MLOps in one workspace — so vision and multimodal AI teams ship faster, with the quality controls and audit trail regulators actually accept (Intellabel is ISO 27001 Certified by TÜV Rheinland)
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Trusted by AI Teams Worldwide
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One platform. Four capabilities.
01
Dataset Management
Ingest image and video data at scale. Versioning, tagging, splits, and full lineage from raw upload to deployed prediction.
02
AI-Assisted Labeling & QA
Foundation models pre-label every frame. Humans verify only the disagreements. Every reviewer, timestamp, and decision is logged — the audit trail builds itself.
03
Model Training
Versioned datasets, experiment tracking, and active learning. Reproducible training runs your MLEs will actually trust.
04
Production MLOps
Controlled rollouts, drift signals, and auto-generated model cards. Deploy vision and video AI with the documentation regulators ask for, generated as you go.
Build models, not infrastructure.
Stop stitching annotation tools, dataset versioning, training, and deployment together. Intellabel does all four — with the same audit log running through every step.
Run pipelines without writing orchestration code
Deploy models without setting up infrastructure
Monitor models without building dashboards
Scale workloads without managing GPUs
Traditional MLOps Tools
Requires DevOps setup- Requires pipeline engineering
- Requires cloud expertise
- Multiple tools required
- Weeks to production
Intellabel Pro
No infrastructure setup- Prebuilt pipeline workflows
- Managed compute with credits
- All-in-one platform
- Deploy in hours
Who Intellabel is Built For
ML Engineers
Ship models faster with foundation-model pre-labeling, reproducible training runs, and the audit log every model card needs.
AI & Data Teams
Unify data annotation, validation, and model workflows into a single system to maintain consistency, quality, and control.
Enterprises
Deploy AI in regulated environments with built-in governance, lineage, immutable audit trails, and conformity assessments mapped to EU AI Act and NIST AI RMF.
Heads of AI & Engineering
Visibility, governance, and the confidence to release. Conformity-assessment exports mapped to EU AI Act, NIST AI RMF, HIPAA, and ISO 42001.
Product & Engineering Leaders
Gain full visibility across data, models, and workflows to ensure reliable releases and measurable AI outcomes.
Built for AI that has to be trusted in production.
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TechStack
One platform to turn raw data into production-ready AI: combining data annotation, dataset management, and machine learning workflows in a single system.
Address: WeWork, Salarpuria Symbiosis, Bannerghatta Rd, Bengaluru, Karnataka
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