Chemin

What Chemin does

Chemin is an AI enablement company headquartered in Singapore that builds enterprise training data pipelines and reinforcement learning workflows for autonomous vehicles, robotics, and production agentic AI systems. The company operates "Chemin Logic," an integrated ecosystem organized into four stacks — Data Stack (collection, annotation, and ready-made datasets), Model Stack (evaluation, training, and deployment), Design Stack (workflow design and risk framework), and Skill Stack (talent acquisition) — supported by three proprietary platforms: Chemin Annotate (multimodal data annotation), Chemin Eval (model evaluation with side-by-side comparison), and Talent Hub (talent operations via the Kooltasks gig portal). Chemin's service portfolio spans multimodal annotation (LiDAR, camera, IMU, video, audio, text), RLHF/RLVR/RLAIF training, red-teaming and safety evaluation, no-code Agentic AI Copilot building, and compliance-ready risk frameworks.

The company serves enterprise customers across more than eight verticals — including AV and robotics (Nomagic, Badger Technologies, Black.ai, Geo Magical Labs), agriculture (Aerobotics), e-commerce (Shopee), healthcare (Singapore General Hospital), waste intelligence (Greyparrot), gaming, and financial services — through a primarily direct enterprise sales motion complemented by a self-serve pilot-dataset entry point. Chemin's go-to-market emphasizes domain-expert review and contextually rich data over synthetic proxies, with a stated operational footprint of 18 countries, 50+ languages, and access to an 870+ specialist network backed by a 200,000+ talent pipeline.

Commercially, Chemin generates revenue through professional and managed services engagements (data annotation, RL workflow design, model training, talent deployment), ready-made dataset licensing (e.g., datasets published on HuggingFace), and annual/multi-year enterprise contracts priced by data volume, modality complexity, annotation type, and quality requirements. The company is a privately held subsidiary of TDCX Group, launched in May 2025 and strengthened by the June 2025 acquisition of SUPA, a SOC 2 Type II certified data labeling company. No external venture funding or revenue figures have been disclosed.

Name

Chemin

Legal name

Chemin

Website

https://chemin.com

Company type

Private

Founded year

2025

Operating status

Operating

Headcount range

11–50 employees

Short description

Chemin is a Singapore-based AI enablement subsidiary of TDCX Group that builds enterprise training data pipelines and reinforcement learning workflows for autonomous vehicles, robotics, and production agentic AI, serving enterprise customers across more than eight verticals globally via proprietary annotation, evaluation, and talent platforms.

Ownership category

akta.pro rank

Product category

AI Data Services and Training Data Platforms

NAICS

Custom Computer Programming Services (541511), Computer Systems Design and Related Services (5415)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374)

akta.pro primary industry

AI/ML Engineering & Model Development Services (BPAEAHAF)

akta.pro secondary industries

Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB), Agents & Autonomous Workflows (Tool Use, Planning, Multi-Agent) (HDAAACAF), AI/ML Solution Integration & MLOps Enablement (BPAEAAAJ)

Keywords

• AI training data
• Data annotation services
• Reinforcement learning workflows
• Multimodal data labeling
• AI enablement platform

Headquarters

HQ city

Singapore

HQ country

Singapore

HQ region

Asia

Offices1 record

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Operations, Technology or R&D, Marketing or Sales, Infrastructure

Revenue model

1. Enterprise AI Enablement Services: Chemin generates revenue through comprehensive AI enablement engagements encompassing data pipeline building, RL workflow design, model training, and workflow optimization. Services are delivered as professional/managed services engagements with defined SLAs, scoping based on complexity, volume, and domain expertise required. Entry point is a complimentary pilot dataset or proof-of-concept.
2. Data-as-a-Service (Data Stack): Revenue from curated data collection, annotation, and transformation services. Pricing tied to data volume, modality complexity, annotation type, and quality requirements. Includes on-demand workforce for data labeling and transformation tasks.
3. Talent-as-a-Service (Skill Stack): On-demand specialist talent deployment for AI annotation, evaluation, and model training tasks. Revenue generated through talent engagement fees tied to task complexity, skill level, and project scale. The Kooltasks talent portal supports transparent tracking and payout management.
4. Ready-Made Datasets: Pre-curated, off-the-shelf expert datasets available for immediate deployment to accelerate LLM fine-tuning. Dataset licensing provides an alternative revenue stream for common AI use cases (reasoning, coding, linguistics).

Pricing tiers

Go-to-market motion3 records

Distribution channels3 records

Marketing channels8 records

Core offering

Chemin builds enterprise training data pipelines and reinforcement learning workflows that power autonomous vehicles, robotics, and production agentic AI systems. The company delivers end-to-end AI enablement through its "Chemin Logic" ecosystem spanning data collection, multimodal annotation, ready-made datasets, model evaluation and training (RLHF/RLVR/RLAIF), AI workflow design, risk frameworks, and on-demand AI talent. Operations span 18 countries with 50+ languages and 30+ domains of domain expertise.

Product overview

Chemin is an AI enablement company that offers Chemin Logic, a complete ecosystem of LLM solutions organized into four interconnected stacks: Data Stack (data collection, annotation, and ready-made datasets), Model Stack (model fitting and training), Design Stack (workflow design and risk framework), and Skill Stack (talent acquisition). The platform is supported by proprietary tools including Chemin Annotate for data annotation, Chemin Eval for model evaluation, and Talent Hub for talent operations. The company specializes in enterprise training data and reinforcement learning for agentic AI, serving autonomous vehicles, robotics, and production agent deployments across 18 countries.

Differentiator

Problem solved

Functional benefit

Products and services

• Chemin Logic A holistic AI solution encompassing Data Stack, Model Stack, Design Stack, and Skill Stack for end-to-end AI adoption, combining data pipelines, model training, workflow design, and talent expertise.
• Data Stack Turns raw data into competitive edge through curated, diverse, and contextually tuned datasets for AI model training. Includes data collection, data transformation, and ready-to-deploy datasets.
• Model Stack Expert-verified AI model evaluation and training services including model definition, training, deployment, and monitoring for state-of-the-art performance.
• Design Stack Enterprise-grade AI workflow optimization plans including workflow design, risk framework, and AI process integration for organizational workflows.
• Skill Stack Global AI talent acquisition and engagement platform providing specialized tech and AI experts, talent sourcing, onboarding, and workforce management.
• Data Collection Multi-sourcing data collection service combining on-the-ground, natural, expert-generated, and synthetic data generation for diverse AI training datasets.
• Data Annotation Professional annotation proficiency with domain-led expertise for transforming raw data into context-rich datasets with precise labeling across images, video, text, audio, and speech.
• Ready-Made Datasets Off-the-shelf expert-curated datasets for reasoning, computation, and logic-based tasks to optimize model training with faster time-to-model deployment.
• Model Fitting Multi-model evaluation and selection services with customizable criteria, automated metrics, and human-led LLM evaluation for selecting optimal business-model fit.
• Model Training AI model training and optimization services using RLHF, RLAIF, red teaming, and HITL feedback loops for refining model performance.
• Workflow Design Adaptive AI workflow optimization with scalable data pipelines, Agentic AI Copilot building, and operational agility for enterprise-level performance.
• Risk Framework AI risk framework and security solutions including proactive risk assessments, AI guardrails, adaptable risk management, and compliance-ready governance.
• Chemin Annotate Data annotation platform for labeling, real-time feedback, and task orchestration with multimodal support, human-in-the-loop reviews, and flexible workflow setup.
• Chemin Eval AI model evaluation platform for conducting comprehensive model suitability testing with automated evaluation metrics and expert human reviewer insights.
• Talent Hub Talent operations platform connecting AI experts to workflows with project tools, gig talent portal (Kooltasks), and seamless scalability for AI task deliveries.

Quantifiable outcome

• 96%+ data accuracy across multi-sourcing data collection engagements
• +10 more outcomes

Named customers12 records

Segments7 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability14 records

Feature13 records

Partnerships

One partnership is on record.

• SUPAcoreStrategic or Co-development Partner · 20 June 2025TDCX Group (Chemin's parent company) acquired SUPA in June 2025 to supercharge Chemin's AI-enablement platform. SUPA was a data labeling company that had an existing tie-up with TDCX starting June 2024. The acquisition strengthens Chemin's capabilities in complex AI data services amid global demand surge. SUPA had previously powered Greyparrot's waste intelligence AI expansion to 89 categories and was SOC 2 Type II certified before the acquisition. SUPA (now operating as Chemin) had also developed the Chemin Annotate platform.

Scale indicators24 records

Recent moves7 records

Expansion highlights7 records

Direct peers

• Appen: Appen is a global data annotation and AI training data provider serving enterprises with multilingual, multi-modal annotation services. It is comparable to Chemin across data collection, annotation, and LLM fine-tuning datasets, with overlapping customers in autonomous systems and enterprise AI.
• Surge AI: Surge AI is a data labeling platform focused on frontier-model and RLHF/RLAIF workflows for foundation-model labs. It directly parallels Chemin's Model Stack (RLHF, RLAIF, red-teaming, model evaluation) and competes for the same enterprise AI training data budget.
• iMerit: iMerit provides domain-expert data annotation, model validation, and AI data services for AV, healthcare, fintech, and geospatial customers. It is comparable to Chemin in vertical specialization (AV, healthcare, financial services) and the use of skilled human-in-the-loop annotation rather than crowd workers.
• Labelbox: Labelbox provides an AI data platform combining annotation tooling, model evaluation, and human-in-the-loop workflows. It is directly comparable to Chemin Annotate and Chemin Eval, targeting enterprise AI teams building production models with managed labeling services.
• Innodata: Innodata is an AI data engineering and annotation services company serving enterprise and government customers. It overlaps with Chemin's Data Stack and talent-driven model training services, particularly for LLM training and domain-specific annotation.
• CloudFactory: CloudFactory is a managed data annotation provider with a distributed global workforce for AI training data. It compares directly to Chemin's Skill Stack and Data Stack, serving computer vision, NLP, and AV/robotics customers with human-reviewed labeling.
• Scale AI: Scale AI is the dominant AI data labeling and evaluation platform, serving autonomous vehicles, robotics, and foundation-model labs with annotation, RLHF, and model evaluation services — directly overlapping Chemin's core offering in multi-sensor annotation, RL workflows, and enterprise AI enablement.

Broad incumbents

• TaskUs: TaskUs is a digital outsourcing and CX services firm expanding into AI data services including content moderation, data labeling, and LLM evaluation. It is comparable to TDCX/Chemin in combining enterprise services pedigree with newer AI data offerings for foundation-model customers.
• TELUS International: TELUS International is a large digital CX and AI data solutions provider, comparable to TDCX (Chemin's parent). It offers data annotation, model evaluation, and AI-enabled CX services, representing the broader incumbent peer set that Chemin (as a TDCX subsidiary) competes against.

Emerging players

• Snorkel AI: Snorkel AI provides a data-centric AI platform for programmatic labeling and weak supervision, complementing human annotation. It overlaps with Chemin's Model Stack (model training, evaluation) but takes a different technological approach (programmatic + synthetic) versus Chemin's human-expert-first model.

Market position

Strengths5 records

Weaknesses4 records

Competitive moat5 records

Key risks5 records

Key highlights6 records

Customer concentration

• GitHubhuggingface.co/Chemin-AI
• LinkedInlinkedin.com/company/cheminai

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Chemin