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Playment

Full company profile

uuid0000uoc

Namestring
Playment
Websiteurl
playment.io
Company typeenum
Private
Founded yearint
2015
Descriptiontext

Playment is a fully managed data labeling platform that produces training data for computer vision models at scale. Founded in 2015 and headquartered in Bangalore, India, the company serves machine learning teams that require large volumes of accurately labeled image, video, and sensor data to train and validate vision-based AI systems. Its 'fully managed' positioning signals that Playment bundles platform tooling with a human-in-the-loop workforce rather than offering self-serve annotation software, and that the company assumes responsibility for throughput, quality control, and deliverable datasets on behalf of the client.

The core product is a managed labeling service that combines proprietary annotation tooling with skilled human annotators, targeting enterprise and startup AI teams working on applications such as autonomous driving, robotics, retail/commerce vision, and other CV use cases. The Bangalore operating base provides access to a cost-competitive, English-proficient labeling workforce — a structural advantage common to Indian data annotation providers and a key input to the unit economics of managed labeling.

Playment's business model is B2B services revenue, with pricing undisclosed and delivered via custom quotes; the absence of list pricing suggests project- or volume-based contracts rather than self-serve SaaS. The company has been venture-backed by Y Combinator, SAIF Partners, Sparkland Capital, Elevation Capital, and Google Launchpad Accelerator, with approximately $2.47 million in disclosed funding across four rounds between mid-2016 and late 2017. Headcount is in the 11–50 range, and the leadership team spans co-founders (CEO Siddharth Mall; co-founder Akshay Lal; Ajinkya Malasane as Co-Founder & Head of Business) plus functional heads for engineering, business development, and product marketing.

Short descriptiontext

Playment is a Bangalore-based data labeling platform founded in 2015 that provides fully managed training data services for computer vision teams, combining platform tooling with human-in-the-loop annotation workflows.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
5,001–10,000
akta.pro rankint
HeadquartersBangalore, India
HQ citystring
Bangalore
HQ countrystring
India
HQ regionstring
Asia
Markets served

Serves global market

Keyword5 values
data labeling, training data, computer vision, image annotation, managed labeling services
Industry2 codes
1Data Labeling & Annotation Services
CodeHDAAALABPrimaryYes
2Data Augmentation & Programmatic Labeling
CodeHDAAALAHPrimaryNo
NAICS code1 code
  • Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services518
SIC code2 codes
  • Services-Computer Processing & Data Preparation7374
  • Services-Computer Programming, Data Processing, Etc.7370
Product category
AI Training Data / Data Labeling Services
Social media profiles3 records
Cost components4 values
Personnel, Operations, Technology or R&D, Marketing or Sales
GTM typeB2B
B2B
Offering typeServices
Services
Core offering1 text field

Playment operates a fully managed data labeling platform that generates training data for computer vision models at scale. The service combines proprietary annotation tooling with a managed labeling workforce to deliver labeled image, video, and sensor datasets for AI/ML teams. It targets enterprises building computer vision systems that need high-quality, large-volume labeled training data.

Differentiator
Functional benefit
Problem solved
Product and service1 record
1Fully Managed Data Labeling Platform for Computer Vision
CategoryAI Training Data / Data Labeling Services
Recent move5 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

End-to-end data annotation platform for computer vision with a strong focus on managed services and AI-assisted labeling. Closely comparable in offering breadth and target customer profile.

TypeDirect peer
Description

Computer vision annotation platform with pixel-precision tooling and managed services. Competes directly with Playment in image and video labeling for AI teams.

TypeDirect peer
Description

Data-centric AI platform for vision and multimodal labeling, with both self-serve and managed offerings. Overlaps with Playment in computer vision training data workflows.

TypeDirect peer
Description

The leading fully managed data labeling platform for computer vision and other AI modalities. Most direct competitor to Playment given overlapping service model, customer base (autonomous driving, AI labs), and tooling approach.

TypeDirect peer
Description

Data-centric AI platform combining labeling tooling with managed services for computer vision and other modalities. Targets the same enterprise model developers as Playment with a similar hybrid SaaS-plus-services model.

TypeBroad incumbent
Description

Large incumbent in the data annotation and collection market serving all major AI modalities. Competes with Playment for enterprise CV and NLP data contracts but at much greater scale and breadth.

TypeBroad incumbent
Description

Major BPO with a Data for AI Training division covering generative AI, physical AI, and computer vision labeling. Larger, more diversified competitor serving Fortune 500 model development teams.

TypeBroad incumbent
Description

Cloud-native labeling service integrated with the AWS ecosystem. Competes with Playment on price and infrastructure, especially for AWS-native customers, but with less focus on fully managed human-in-the-loop services.

TypeBroad incumbent
Description

Managed data annotation provider for computer vision and content moderation with global delivery centers. Competes with Playment for enterprise CV labeling contracts and emphasizes ethical AI supply chains.

TypeRegional player
Description

India-based managed data labeling and enrichment services company serving global enterprise customers. Direct competitor to Playment given overlapping geography, service model, and customer segments in computer vision.

Market position
Strengths4 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat3 records

Each record includes

Type, Details

Key risks5 records

Each record includes

Headline, Details, Source

Key highlights4 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Ideal customer profile1 record

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI maturity
App detail

Has app

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles6 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds4 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors5 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

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

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

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

Playment

AI Training Data / Data Labeling Servicesplayment.io

Playment is a Bangalore-based data labeling platform founded in 2015 that provides fully managed training data services for computer vision teams, combining platform tooling with human-in-the-loop annotation workflows.

What Playment does

Playment is a fully managed data labeling platform that produces training data for computer vision models at scale. Founded in 2015 and headquartered in Bangalore, India, the company serves machine learning teams that require large volumes of accurately labeled image, video, and sensor data to train and validate vision-based AI systems. Its 'fully managed' positioning signals that Playment bundles platform tooling with a human-in-the-loop workforce rather than offering self-serve annotation software, and that the company assumes responsibility for throughput, quality control, and deliverable datasets on behalf of the client.

The core product is a managed labeling service that combines proprietary annotation tooling with skilled human annotators, targeting enterprise and startup AI teams working on applications such as autonomous driving, robotics, retail/commerce vision, and other CV use cases. The Bangalore operating base provides access to a cost-competitive, English-proficient labeling workforce — a structural advantage common to Indian data annotation providers and a key input to the unit economics of managed labeling.

Playment's business model is B2B services revenue, with pricing undisclosed and delivered via custom quotes; the absence of list pricing suggests project- or volume-based contracts rather than self-serve SaaS. The company has been venture-backed by Y Combinator, SAIF Partners, Sparkland Capital, Elevation Capital, and Google Launchpad Accelerator, with approximately $2.47 million in disclosed funding across four rounds between mid-2016 and late 2017. Headcount is in the 11–50 range, and the leadership team spans co-founders (CEO Siddharth Mall; co-founder Akshay Lal; Ajinkya Malasane as Co-Founder & Head of Business) plus functional heads for engineering, business development, and product marketing.

Playment firmographics

Firmographics
Name
Playment
Website
https://playment.io
Company type
Private
Founded year
2015
Operating status
Operating
Headcount range
5,001–10,000 employees
Short description
Playment is a Bangalore-based data labeling platform founded in 2015 that provides fully managed training data services for computer vision teams, combining platform tooling with human-in-the-loop annotation workflows.
Ownership category
akta.pro rank

Playment industry classification

Industry
Product category
AI Training Data / Data Labeling Services
NAICS
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)
SIC
Services-Computer Processing & Data Preparation (7374), Services-Computer Programming, Data Processing, Etc. (7370)
akta.pro primary industry
Data Labeling & Annotation Services (HDAAALAB)
akta.pro secondary industry
Data Augmentation & Programmatic Labeling (HDAAALAH)

Keywords

  • Data labeling
  • Training data
  • Computer vision
  • Image annotation
  • Managed labeling services

Where Playment is headquartered

Location

Headquarters

HQ city
Bangalore
HQ country
India
HQ region
Asia

Markets served

Playment business model

Business model
GTM type
B2B
Offering type
Services
Cost components
Personnel, Operations, Technology or R&D, Marketing or Sales

Playment product offering

Product offering

Core offering

Playment operates a fully managed data labeling platform that generates training data for computer vision models at scale. The service combines proprietary annotation tooling with a managed labeling workforce to deliver labeled image, video, and sensor datasets for AI/ML teams. It targets enterprises building computer vision systems that need high-quality, large-volume labeled training data.

Differentiator

Problem solved

Functional benefit

Products and services

  • Fully Managed Data Labeling Platform for Computer Vision

Companies that use Playment

Customer profile

Ideal customer profiles1 record

Playment technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Playment partnerships and signals

Strategic signal

Recent moves5 records

Expansion highlights5 records

Playment competitors and assessment

Company assessment

Direct peers

  • SuperAnnotate: End-to-end data annotation platform for computer vision with a strong focus on managed services and AI-assisted labeling. Closely comparable in offering breadth and target customer profile.
  • V7 Labs: Computer vision annotation platform with pixel-precision tooling and managed services. Competes directly with Playment in image and video labeling for AI teams.
  • Encord: Data-centric AI platform for vision and multimodal labeling, with both self-serve and managed offerings. Overlaps with Playment in computer vision training data workflows.
  • Scale AI: The leading fully managed data labeling platform for computer vision and other AI modalities. Most direct competitor to Playment given overlapping service model, customer base (autonomous driving, AI labs), and tooling approach.
  • Labelbox: Data-centric AI platform combining labeling tooling with managed services for computer vision and other modalities. Targets the same enterprise model developers as Playment with a similar hybrid SaaS-plus-services model.

Broad incumbents

  • Appen: Large incumbent in the data annotation and collection market serving all major AI modalities. Competes with Playment for enterprise CV and NLP data contracts but at much greater scale and breadth.
  • TELUS Digital (Data for AI): Major BPO with a Data for AI Training division covering generative AI, physical AI, and computer vision labeling. Larger, more diversified competitor serving Fortune 500 model development teams.
  • Amazon SageMaker Ground Truth: Cloud-native labeling service integrated with the AWS ecosystem. Competes with Playment on price and infrastructure, especially for AWS-native customers, but with less focus on fully managed human-in-the-loop services.
  • Samasource (TRAIN AI / Sama): Managed data annotation provider for computer vision and content moderation with global delivery centers. Competes with Playment for enterprise CV labeling contracts and emphasizes ethical AI supply chains.

Regional players

  • iMerit: India-based managed data labeling and enrichment services company serving global enterprise customers. Direct competitor to Playment given overlapping geography, service model, and customer segments in computer vision.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat3 records

Key risks5 records

Key highlights4 records

Customer concentration

Playment social profiles

Digital presence

Playment financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Playment leadership team

Management profile

Number of profiles

Profiles6 records

Playment funding detail

Funding detail

Funding overview

Funding rounds4 records

Investors5 records

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

Playment M&A and investment

M&A and investment

M&A

Investments

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

Frequently asked questions about Playment

What does Playment do?

Playment operates a fully managed data labeling platform that generates training data for computer vision models at scale. The service combines proprietary annotation tooling with a managed labeling workforce to deliver labeled image, video, and sensor datasets for AI/ML teams. It targets enterprises building computer vision systems that need high-quality, large-volume labeled training data.

When was Playment founded?

Playment was founded in 2015. It employs 5,001 to 10,000 people.

Where is Playment based?

Playment is headquartered in Bangalore, India, in the Asia region.

Who are Playment's main competitors?

Direct peers on record are SuperAnnotate, V7 Labs, Encord, Scale AI and Labelbox. Broad incumbents are Appen, TELUS Digital (Data for AI), Amazon SageMaker Ground Truth and Samasource (TRAIN AI / Sama). iMerit is listed as a regional player.

Does Playment have an API?

No public API is recorded for Playment.

What industry is Playment in?

Playment's product category is AI Training Data / Data Labeling Services. Its primary akta.pro industry code is HDAAALAB, Data Labeling & Annotation Services, with a secondary code of HDAAALAH, Data Augmentation & Programmatic Labeling. Its NAICS code is 518 and its SIC code is 7374.

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TracxnList of 17 Autonomous Vehicles Startups in Bengaluru, India & Market Trends (Jul 2026)The article presents a curated list of autonomous vehicle startups based in Bengaluru, India, highlighting their business models and funding status. It details specific companies such as Flo Mobility, Playment, and MinusZero, providing data on their founding years, total funding amounts, and investor backing.Forbes IndiaGhost Work: How India’s Annotation Army Guards AI Giants in US and ChinaIndia has emerged as a major hub for data annotation, employing workers in tier-two and three cities to label data that trains AI models for global technology firms. Companies such as Scale AI, CloudFactory, iMerit, and Playment act as intermediaries connecting this distributed Indian labor force with international demand. The sector is projected to exceed $7 billion by 2030, though it raises concerns about the disparity between low wages for annotators and the high profits generated by the algorithms they enable.Fact.MRData Labeling Solution and Services Market StatisticsFact.MR projects the global data labeling solution and services market to reach US$ 92.4 billion by 2034, expanding at a 22% CAGR from its 2024 valuation of US$ 12.7 billion. The growth is primarily driven by increasing reliance on machine learning for autonomous vehicles, retail, and healthcare sectors, with outsourced solutions holding an 80% market share due to cost-effectiveness. Key players such as TELUS International are actively consolidating the market through acquisitions, including Playment and Lionbridge AI, to enhance service offerings.YourStoryThe 10 computer vision startups you need to watch out forTen computer vision startups are profiled, including Intello Labs, MintM, and Playment, with details on their technologies and funding. The startups apply computer vision to sectors like agriculture, retail, healthcare, and transportation, with funding ranging from seed to Series A.