Srishta Technology

High-quality labeled data is the foundation of every successful AI project. In 2026, India remains a global hub for data annotation and labeling — offering a blend of cost-efficiency, technical expertise, and scalability. This guide profiles the Top 10 data labeling companies in India (2026), what makes each one special, and how to choose the right partner for your project.

 

Why India for Data Labeling?

India is a preferred destination for data labeling and annotation because of:

• Large, skilled workforce experienced in computer vision, NLP, and audio annotation.

• Significant cost advantages versus US/European vendors while maintaining quality.

• Mature delivery models: human-in-the-loop, AI-assisted pre-labeling, multi-stage QA.

• Time-zone and scaling benefits for 24/7 delivery.

Srishta Technology is emerging as one of the top data labeling companies in India, offering high-quality, scalable, and secure solutions tailored for diverse AI applications. As one of the top data annotation companies India 2026, Srishta stands out by providing industry-specific expertise in image, video, text, and audio annotation. If you’re looking for the best data labeling services India has to offer, Srishta delivers with precision, speed, and compliance, making it a reliable partner for both startups and enterprise AI teams. Ranked among the top 10 data labeling companies 2026, Srishta has built a reputation for excellence among the leading data annotation companies in India. With a strong focus on innovation and accuracy, Srishta is also recognized as one of the most trusted AI data labeling companies India businesses rely on. For organizations seeking the best annotation companies for AI in India, Srishta Technology provides end-to-end solutions that accelerate AI model development while maintaining data integrity and security.

Image Annotation Company In India

Below are the top companies to consider in 2026.

Top 10 Data Labeling Companies in India (2026)

Company	What Makes Them Stand Out
1. Srishta Technology	Deep expertise in image, video, and text annotation; strong for computer vision + NLP; high accuracy and QA processes. Data Annotation Services, including Data Labeling, Data Tagging, and ML Annotation, delivering precise data categorization and classification for AI and machine learning models.
2. Macgence	Macgence is a distinguished company specializing in Data Annotation Services.
3. Cogito Tech	Human-in-the-loop services; strong capabilities in both computer vision and NLP.
4. Shaip	Specialized in healthcare and domain-specific data; strong certifications and compliance.
5. Playment (TELUS International)	Strong platform approach; 3D/image annotation for autonomous systems; efficient scaling.
6. Zuru Tech	AI-powered and focused on automation + speed; handles high volume image/video + text tasks.
7. Learning Spiral	Works across varied domains (education, agriculture, medical imaging, e-commerce) with flexible annotation types.
8. Wisepl	Known for accurate work for small-/mid-sized clients; good balance between cost and quality.
9. Tika Data	Strong for NLP / text + IoT + computer vision tasks; less reliance on crowdsourcing.
10. DesiCrew Solutions	Larger supply of annotation workforce, cost-efficient, good for clients needing volume and more economical choices.

Top Data Annotation Company In USA

1. Srishta Technology — Best for End-to-End, Domain-Focused Solutions

Why choose them: Strong domain expertise across computer vision and NLP, enterprise-friendly QA processes, flexible engagement models (per-image, per-hour, project). Proven at enterprise scale, experienced with sensitive domains like healthcare and autonomous vehicles.
Strengths: Image & video annotation, medical imaging, e-commerce tagging, autonomous vehicle datasets, 95%+ QA targets, secure pipelines and NDA practices. Large delivery teams, compliance-ready processes, robust tooling and platform integrations.
Best for: Companies needing scalable, high-accuracy annotation with domain specialization. Large enterprises and highly regulated projects.

Website- https://srishta.com/

Founded- 2024

2. Cogito Tech — Best for Human-in-the-Loop & Hybrid Workflows

Why choose them: Strong HIL (human-in-the-loop) processes and multi-modal annotation offerings (image, video, text).
Strengths: Flexible workforce, iterative labeling workflows, good for projects requiring continuous improvement.
Best for: Projects that benefit from model-assisted annotation plus human QA.

3. Shaip — Best for Healthcare & Clinical Data

Why choose them: Specialist in medical and clinical annotation, regulatory experience, and privacy controls.
Strengths: HIPAA/GDPR-aware pipelines, medical ontologies, high-precision annotation for imaging and text.
Best for: Healthtech, medtech, clinical AI projects.

4. Playment (TELUS International) — Best for Autonomous Systems & Scale

Why choose them: Platform-driven annotation, experience with large autonomous-vehicle and mapping datasets.
Strengths: 3D annotation, lidar/point-cloud labeling, object tracking at scale.
Best for: AV, robotics, mapping companies requiring heavy throughput.

5. Zuru Tech — Best for AI-Powered Speed & Automation

Why choose them: Focus on automation and speed through AI-assisted labeling tools.
Strengths: Pre-labeling automation, rapid turnaround, suitable for high-volume image/video tasks.
Best for: Clients who want fast throughput with reasonable accuracy and automation-first workflows.

6. Learning Spiral — Best for Diverse Domain Coverage (EDU, Agri, Medical)

Why choose them: Offers broad domain experience across education, agriculture, medical imaging, and e-commerce.
Strengths: Flexible annotation types, domain adaptation, smaller dedicated teams for bespoke projects.
Best for: Mid-sized projects across varied domains.

7. Wisepl — Best for Small-to-Mid Clients Seeking Cost-Quality Balance

Why choose them: Known for balancing cost and quality, suited for SMB and mid-market projects.
Strengths: Affordable per-image rates, reliable deliverables for moderate volumes.
Best for: Startups and companies that need predictable costs without enterprise overhead.

8. Tika Data — Best for NLP, Text, and Multi-modal Tasks

Why choose them: Strong text/NLP capabilities, plus growing vision annotation services.
Strengths: Entity recognition, intent labeling, conversational AI datasets, IoT data labeling.
Best for: Teams focused on chatbots, speech/NLP, and multi-modal models.

9. DesiCrew Solutions — Best for High-Volume, Cost-Efficient Labor Pool

Why choose them: Large workforce supply, cost-effective for very large image/video labeling jobs.
Strengths: Volume handling, economical pricing, decent QA processes when properly managed.
Best for: Projects that require massive labeling at low per-unit cost and can tolerate trade-offs in handholding.

Outsource Data Annotation Services USA

Feature	Srishta Tech	Macgence	Playment	Shaip	Zuru Tech
Image / Video	✔️	✔️	✔️	✔️	✔️
Medical	✔️	✔️	❌	✔️	❌
3D / LiDAR	✔️	✔️	✔️	❌	❌
NLP / Text	✔️	✔️	❌	✔️	✔️
Large-scale	✔️	✔️	✔️	✔️	✔️
Best for	Enterprise	Data	Autonomous vehicles	Medical	Automated throughput

 

 

How to Choose the Right Data Labeling Partner

When selecting from data labeling companies in India, evaluate vendors on:

1. Annotation accuracy & QA — Ask for sample outputs and QA workflows.

2. Domain expertise — Medical, AV, e-commerce, agriculture — choose a specialist when domain knowledge matters.

3. Scalability — Can the vendor ramp up to your peak volumes?

4. Security & compliance — NDAs, data handling, and certifications matter for sensitive data.

5. Tooling & integration — Do they provide API exports in COCO, Pascal VOC, YOLO, etc.?

6. Pricing model — Per-image, per-object, hourly, milestone — compare apples to apples.

7. Turnaround & SLAs — Delivery timelines and penalties for missed SLAs.

8. Case studies & references — Ask for client references or case studies in your industry.

Typical Pricing Models (Ballpark)

• Bounding box (simple): ~$0.05–$0.50 / image (depends on objects/image, region, QA).

• Polygon / instance segmentation: ~$0.50–$3.00 / image.

• Keypoints / pose: ~$0.20–$1.50 / image depending on keypoints count.

• Video annotation: Priced per minute or per frame, varies widely.
  Note: These are indicative ranges. Get quotes with pilot batches for accuracy.

Pros & Cons: Outsourcing to India vs Local (US/EU) Vendors

Pros (India):

• Cost-effective (often 40–70% lower labor cost).

• Large talent pool and fast scalability.

• 24/7 delivery models via time-zone advantage.

Cons (India):

• Potential time-zone communication delays if not managed.

• You must verify QA rigor and security practices.

• Cultural/linguistic nuances in some NLP tasks may require special handling.

Why Many Choose Srishta Technology

While many providers are competent, Srishta Technology stands out for:

• Domain-specific teams (healthcare, AV, e-commerce).

• Strong multi-stage QA and human-in-loop processes.

• Flexible engagement models and enterprise readiness.

• Competitive pricing with clear SLAs and security practices.

If your project needs high accuracy, domain expertise, and seamless scaling — Srishta is a leading candidate to evaluate closely.

FAQ

Q: What formats do vendors deliver in?
A: Common formats: COCO JSON, Pascal VOC XML, YOLO TXT, CSV, and custom schemas.

Q: How long does a pilot take?
A: Typically 1–2 weeks depending on complexity and QA cycles.

Q: Are these vendors GDPR/HIPAA compliant?
A: Many vendors have compliance processes; confirm certifications and data handling before starting.

Finding the right data labeling company in India depends on your project’s complexity, required accuracy, and budget. India offers world-class options in 2026 — from enterprise specialists like srishta technology and Playment to versatile, cost-effective providers like Srishta Technology. Start with a focused pilot, evaluate sample outputs, and scale with the partner that proves consistent quality and clear communication.