Mindkosh AI
Mindkosh AI is a New Delhi-based data labeling company offering a self-serve multi-sensor annotation platform and managed annotation services for autonomous vehicle, robotics, and ML teams, supported by a 2000+ labeler workforce and AI-assisted tooling.
- Company typePrivate
- Founded2020
- HeadquartersNew Delhi, India
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Mindkosh AI does
Mindkosh AI (legally Mindkosh Technologies Private Limited) is a New Delhi, India-based data labeling company founded in 2020 that sells to machine learning teams building autonomous systems. The company operates two integrated offerings: (1) a self-serve annotation platform supporting LIDAR, 3D point clouds, video, images, semantic segmentation, and OCR, with AI-assisted tools including Magic Segment, Mask Propagation, 1-click cuboid annotation, YOLO pre-annotation, and a PII Removal API; and (2) fully managed annotation services delivered through a workforce of 2000+ experienced labelers with 2-level quality control and SLA-backed delivery at 96%+ accuracy. Platform deployment is flexible — Mindkosh-hosted, customer cloud (AWS S3 integration), on-premises, or fully air-gapped — and an enterprise Python SDK enables pipeline-level integration.
Mindkosh monetizes through a freemium SaaS tier (3 users, 800 images), per-asset annotation pricing ranging from $0.02 (keypoint) to $3.00 (semantic segmentation), custom enterprise subscriptions with SDK access and dedicated support, and per-asset managed services pricing. Go-to-market combines self-serve product-led growth with direct enterprise sales and content/community marketing around Data Centric AI themes. The customer base spans autonomous vehicle teams (e.g., NuPort), academic research institutions (Rutgers University, TU Munich, Texas A&M, RID2 dataset author), and technology startups (Squadstack, mpact.ai, Saarthi, OneAssist).
Mindkosh is privately held, appears bootstrapped with no disclosed external funding, holds ISO 27001 and ISO 9001 certifications, and is hosted on AWS infrastructure. Its headquarters is located at Building No. 55, Panchkuian Marg, Connaught Place, New Delhi.
Mindkosh AI firmographics
Firmographics- Name
- Mindkosh AI
- Legal name
- Mindkosh Technologies Private Limited
- Website
- https://mindkosh.com
- Company type
- Private
- Founded year
- 2020
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Mindkosh AI is a New Delhi-based data labeling company offering a self-serve multi-sensor annotation platform and managed annotation services for autonomous vehicle, robotics, and ML teams, supported by a 2000+ labeler workforce and AI-assisted tooling.
- Ownership category
- akta.pro rank
Mindkosh AI industry classification
Industry- Product category
- Data Labeling Software
- akta.pro primary industry
- Data Labeling & Annotation Services (HDAAALAB)
Keywords
Where Mindkosh AI is headquartered
LocationHeadquarters
- HQ city
- New Delhi
- HQ country
- India
- HQ region
- Asia
Offices1 record
Markets served
Mindkosh AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Operations, Technology or R&D, Infrastructure, Marketing or Sales
Revenue model
- Platform Subscription: SaaS platform subscription with tiered plans. Free version provides access to most features with limitations of 3 users and 800 total images. Paid plans offer expanded capacity, priority support, and advanced features.
- Per-Asset Annotation Pricing: Per-asset pricing model for annotation services including Classification ($0.03), Bounding Box ($0.04), Polygon ($0.06), Polyline ($0.03), Keypoint ($0.02), Cuboid ($0.06), and Segmentation ($3).
- Managed Annotation Services: Fully managed annotation services using expert workforce of 2000+ labelers. 2-level QC process, SLA-backed delivery, free revision for batches not meeting quality standards.
- Python SDK Enterprise Access: Enterprise plan includes Python SDK access for programmatic data and annotation access, enabling pipeline integration.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free tier - Limited platform access |
| Unit Pricing | Pay-as-you-go | Classification - $0.03 per asset |
| Unit Pricing | Pay-as-you-go | Bounding Box - $0.04 per asset |
| Unit Pricing | Pay-as-you-go | Polygon - $0.06 per asset (≤8 points) |
| Unit Pricing | Pay-as-you-go | Polyline - $0.03 per asset |
| Unit Pricing | Pay-as-you-go | Keypoint - $0.02 per asset |
| Unit Pricing | Pay-as-you-go | Cuboid - $0.06 per asset |
| Unit Pricing | Pay-as-you-go | Segmentation - $3 per asset |
| Subscription | Annual | Enterprise Plan - Custom pricing |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels6 records
Mindkosh AI product offering
Product offeringCore offering
Mindkosh provides an all-in-one self-serve data labeling platform for multi-sensor data (Lidar, Thermal, Depth, RGB cameras) with AI-powered annotation tools such as Magic Segment, Mask Propagation, 1-click cuboid annotation, automatic OCR, and PII Removal. It also delivers fully managed annotation services performed by a workforce of 2,000+ trained labelers across image, video, audio, text, LIDAR, and 3D point cloud data, backed by a 2-level QC process and SLA guarantees.
Product overview
Mindkosh AI is a data labeling platform for autonomy with two core offerings: (1) the Mindkosh Annotation Platform — a self-serve all-in-one data labeling software supporting LIDAR, 3D point clouds, video, images, semantic segmentation, and OCR annotation with AI-powered tools including Magic Segment, Mask Propagation, 1-click cuboid annotation, YOLO pre-annotation, and PII Removal; and (2) Annotation Services — fully managed annotation using a workforce of 2000+ experienced labelers for text, audio, image, video, LIDAR point cloud, and 3D data with 2-level QC and SLA guarantees. The platform integrates cloud storage options (AWS S3, on-premises/air-gapped) and provides a Python SDK for enterprise pipeline integration.
Differentiator
Problem solved
Functional benefit
Products and services
- Mindkosh Annotation Platform
Quantifiable outcome
- 96%+ accuracy for all labeling tasks
- +3 more outcomes
Companies that use Mindkosh AI
Customer profileNamed customers9 records
Segments5 records
Ideal customer profiles4 records
Mindkosh AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability8 records
Feature9 records
Mindkosh AI partnerships and signals
Strategic signalPartnerships
Two partnerships are on record, tiered minor and core.
- DiscordminorMindkosh operates a Discord community channel for AI practitioners and customers to discuss data labeling, share resources, and engage with the Mindkosh team. The Discord server serves as a community hub and support channel.
- Amazon Web Services (AWS)coreMindkosh application is hosted on AWS infrastructure within Amazon's secure data centers. AWS provides data hosting, security, privacy, and redundancy features. AWS S3 integration allows customers to connect their own cloud storage.
Scale indicators10 records
Recent moves6 records
Expansion highlights6 records
Mindkosh AI competitors and assessment
Company assessmentDirect peers
- V7 Labs: V7 Labs provides an annotation platform with emphasis on computer vision, document AI, and pixel-perfect labeling workflows, overlapping directly with Mindkosh's image, segmentation, and OCR capabilities.
- Encord: Encord provides a multimodal data development platform with strong emphasis on video, lidar, and sensor fusion annotation for robotics and AV — directly comparable to Mindkosh's multi-sensor offering.
- Labelbox: Labelbox offers a multi-modal data labeling platform with strong enterprise footprint across image, video, and text annotation, serving the same ML-team buyer that Mindkosh targets with its platform product.
- Scale AI: Scale AI is the largest dedicated data labeling platform with deep focus on autonomous vehicles, lidar/sensor fusion, and computer vision — directly competing with Mindkosh's core platform and managed services for the same AV and robotics customers.
- SuperAnnotate: SuperAnnotate offers an end-to-end annotation platform with AI-assisted tooling for image, video, and lidar, targeting ML teams in autonomy and similar verticals — a direct functional competitor to Mindkosh.
Emerging players
- Snorkel AI: Snorkel AI applies programmatic labeling and data-centric AI approaches to training data creation, an adjacent capability to Mindkosh's AI-assisted labeling tools, competing for the same Data-Centric-AI-oriented buyer.
- CVAT (Intel): CVAT is an open-source annotation tool sponsored by Intel for image and video labeling. It is a partial competitor to Mindkosh's platform, particularly for budget-conscious users and academic teams, though it lacks lidar/sensor fusion and managed services.
Broad incumbents
- TELUS International (Lionbridge AI): TELUS International, via its Lionbridge AI acquisition, provides enterprise-scale data annotation services across modalities. It competes with Mindkosh's managed services, particularly for large global enterprise contracts.
- Appen: Appen is a large, publicly-listed data annotation services provider spanning image, text, audio, and speech. It competes with Mindkosh's managed services offering but at much broader scale and with less specialization in lidar/sensor fusion.
- Amazon SageMaker Ground Truth: SageMaker Ground Truth is AWS's managed labeling service integrated with its cloud platform. It competes with Mindkosh's SaaS offering for AWS-native ML teams, especially given Mindkosh's reliance on AWS infrastructure.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks5 records
Key highlights7 records
Customer concentration
Mindkosh AI social profiles
Digital presenceMindkosh AI compliance and trust
Trust signalCompliance2 records
Mindkosh AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Mindkosh AI leadership team
Management profileNumber of profiles
Profiles1 record
Mindkosh AI funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Mindkosh AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Mindkosh AI
What does Mindkosh AI do?
Mindkosh provides an all-in-one self-serve data labeling platform for multi-sensor data (Lidar, Thermal, Depth, RGB cameras) with AI-powered annotation tools such as Magic Segment, Mask Propagation, 1-click cuboid annotation, automatic OCR, and PII Removal. It also delivers fully managed annotation services performed by a workforce of 2,000+ trained labelers across image, video, audio, text, LIDAR, and 3D point cloud data, backed by a 2-level QC process and SLA guarantees.
Is Mindkosh AI a public or private company?
Mindkosh AI is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Mindkosh AI founded?
Mindkosh AI was founded in 2020. It employs 1 to 10 people.
Where is Mindkosh AI based?
Mindkosh AI is headquartered in New Delhi, India, in the Asia region.
How does Mindkosh AI make money?
Four revenue lines are on record. Platform Subscription is the primary driver. The others are per-Asset Annotation Pricing, managed Annotation Services and python SDK Enterprise Access.
Who are Mindkosh AI's main competitors?
Direct peers on record are V7 Labs, Encord, Labelbox, Scale AI and SuperAnnotate. Emerging players are Snorkel AI and CVAT (Intel). Broad incumbents are TELUS International (Lionbridge AI), Appen and Amazon SageMaker Ground Truth.
Does Mindkosh AI have an API?
Yes. Python SDK access available with enterprise plan. The SDK allows users to validate data by picking random data points and visualizing labels, provide feedback by creating issues with comments, and download all validated annotations directly from code. Direct upload to Mindkosh servers using Python SDK, or transfer data to AWS S3 bucket dedicated for projects. Developer documentation is at docs.mindkosh.com.
What industry is Mindkosh AI in?
Mindkosh AI's product category is Data Labeling Software. Its primary akta.pro industry code is HDAAALAB, Data Labeling & Annotation Services.