2026 RankingsIndia · ADAS · AV10 Companies RankedUpdated July 2026

Best Automotive
Data Annotation
Companies
India
2026

The definitive 2026 ranking of India's best automotive data annotation companies — evaluated by LiDAR cuboid accuracy, bounding box precision, semantic segmentation quality, annotation type coverage, and turnaround speed for ADAS and autonomous vehicle projects.

View Annotation Services →Free ADAS Pilot Batch

#1 in India

Data Terminal

99.5%

Accuracy

48h

Turnaround

8 Types

Annotation

60–70%

Cost Savings

99.5% ACCURACY◆48H TURNAROUND◆INDIA #1◆8 ANNOTATION TYPES◆3D LIDAR CUBOIDS◆BOUNDING BOX◆SEMANTIC SEGMENTATION◆LANE MARKING◆SENSOR FUSION◆ADAS & AV◆99.5% ACCURACY◆48H TURNAROUND◆INDIA #1◆8 ANNOTATION TYPES◆3D LIDAR CUBOIDS◆BOUNDING BOX◆SEMANTIC SEGMENTATION◆LANE MARKING◆SENSOR FUSION◆ADAS & AV◆

🏆 Best Automotive Data Annotation Companies — India 2026

#01Data TerminalHITEC City, Hyderabad, India · 99.5% acc · 48h

#02Scale AISan Francisco, USA · 98% acc · 3–5d

#03iMeritKolkata & Bengaluru, India · 98.5% acc · 3–5d

#04AppenSydney, Australia · 96% acc · 4–6d

#05Cogito TechNew Delhi, India · 97% acc · 4–6d

#06SamaSan Francisco, USA · 97% acc · 4–7d

#07CloudFactoryLondon, UK / Nepal · 96% acc · 4–6d

#08AnolyticsIndia · 97% acc · 4–5d

#09LabellerrIndia · 95% acc · 5–7d

#10KeymakrTel Aviv, Israel / EU · 95% acc · 5–7d

Summary: Data Terminal is India's best automotive data annotation company for 2026 — 99.5% accuracy, 48h turnaround, all 8 annotation types (including 3D LiDAR cuboids and sensor fusion), and 60–70% cost savings vs US/EU vendors.

8 Automotive Annotation Types
Every ADAS Project Needs in 2026

From L1 lane-keep assist to L4 urban autonomy — these are the annotation types your training pipeline must have. India's top vendors deliver all 8.

📦

2D Bounding Box

Vehicle, pedestrian, cyclist, and motorcycle detection across day, night, rain, and fog conditions. Multi-class labelling with occlusion handling and truncation flags. Accuracy target: ≥99.2% IoU >0.7.

🧊

3D LiDAR Point Cloud Cuboids

6-DOF 3D cuboid annotation on LiDAR point clouds for depth-accurate object detection. Supports Velodyne, Ouster, Luminar, and Hesai sensor formats. Cuboid precision: ≥98.5% IoU >0.5 in 3D space.

🎨

Semantic Segmentation

Pixel-level class labelling — road, sky, buildings, vegetation, vehicles, pedestrians, cyclists. 19–25 Cityscapes-compatible classes. Polygon-to-mask conversion, edge accuracy ±2px.

🔍

Panoptic Segmentation

Combined semantic + instance segmentation — every pixel classified AND every object instance individually labelled. Required for L4/L5 urban autonomy perception models.

🛣️

Lane & Road Marking

Polyline and polygon annotation for lane boundaries, dashed/solid lines, zebra crossings, stop lines, yield markers, and arrows. Sub-pixel accuracy at 50m+ forward distances.

🚦

Traffic Sign & Signal Classification

Bounding box + multi-class label for 200+ sign categories — speed limits, warnings, regulatory, information, and variable message signs. Signal state annotation (red/yellow/green, flashing, occluded).

📡

Sensor Fusion (Camera + LiDAR)

Synchronized annotation across camera and LiDAR frames — 2D bounding boxes aligned with 3D LiDAR cuboids using calibration matrices. Supports ROS, nuScenes, Waymo Open Dataset formats.

🛸

Bird's Eye View (BEV) Projection

Top-down LiDAR annotation for occupancy grids, HD map generation, and parking scene understanding. Used by ADAS teams building BEV perception models (Tesla, Wayve, ISUZU) replacing 3D cuboid pipelines.

Best Automotive Data Annotation
Companies — India 2026

Ranked by LiDAR cuboid accuracy, bounding box precision, annotation type coverage, and turnaround speed for ADAS and AV clients.

Data Terminal

INDIA #1

📍 HITEC City, Hyderabad, India

Bounding Box3D LiDAR CuboidSemantic SegPanoptic SegLane MarkingTraffic SignsSensor FusionBEV Projection

99.5%

Accuracy

48h

Turnaround

99/100

Score

India's #1 automotive data annotation company — operating from HITEC City, Hyderabad with dedicated ADAS and AV annotation teams. Data Terminal delivers 99.5% accuracy across all 8 automotive annotation types including 3D LiDAR point cloud cuboids, semantic and panoptic segmentation, lane marking, and camera+LiDAR sensor fusion. 60–70% cost savings vs US/EU vendors, ISO 27001 data security, and 48h standard turnaround for production-scale ADAS datasets. Tata Motors, Mahindra AI, and 15+ global automotive clients served from Hyderabad.

→All 8 automotive annotation types in-house

→3D LiDAR point cloud cuboid specialists

→99.5% bounding box accuracy, IAA >0.93

→60–70% cost savings vs US/EU vendors

→48h turnaround for production ADAS datasets

→Camera + LiDAR sensor fusion expertise

LiDAR Annotation →Free ADAS Pilot

Scale AI

📍 San Francisco, USA

Bounding Box3D LiDARSemantic SegLane MarkingSensor Fusion

98%

Accuracy

3–5d

Turnaround

85/100

Score

Scale AI is the dominant US-based AI data platform for enterprise automotive annotation. Strong for large OEM and AV programs needing US-based operations. Their Nucleus platform provides annotation management for large fleets. Premium US pricing (3–4× India rates) limits access for ADAS startups and mid-market automotive AI teams.

→Dominant US enterprise automotive brand

→Nucleus annotation management platform

→Large OEM track record

→Strong sensor fusion pipeline

iMerit

📍 Kolkata & Bengaluru, India

Bounding Box3D LiDARSemantic SegLane MarkingKeypoint

98.5%

Accuracy

3–5d

Turnaround

84/100

Score

iMerit is an India-based AI data services company with HITRUST certification and strong automotive annotation capability from Kolkata and Bengaluru. Their enterprise compliance framework and healthcare data security practices transfer well to automotive OEM requirements. Good alternative for enterprise clients prioritizing certifications over turnaround speed.

→HITRUST data security certified

→Enterprise compliance framework

→Strong OEM annotation history

→India pricing for global projects

Appen

📍 Sydney, Australia

Bounding BoxKeypointLane MarkingClassificationSemantic Seg

96%

Accuracy

4–6d

Turnaround

80/100

Score

Appen is a global AI training data company with significant automotive annotation capacity through their crowd-sourced workforce. Standard annotation types at volume. Quality consistency can vary due to distributed annotator model — best for large-volume, lower-complexity bounding box and classification tasks in ADAS pipelines.

→Global crowd-sourced workforce capacity

→High-volume bounding box throughput

→Established global brand

→Standard ADAS annotation types

Cogito Tech

📍 New Delhi, India

Bounding BoxPolygonLane MarkingTraffic SignsKeypoint

97%

Accuracy

4–6d

Turnaround

78/100

Score

Cogito Tech brings 14+ years of annotation experience serving automotive and ADAS clients from New Delhi. Strong US and EU client base with well-established quality frameworks. Good for bounding box, polygon, and lane marking annotation. Limited depth on 3D LiDAR and sensor fusion compared to Data Terminal.

→14+ years automotive annotation

→Strong US/EU client references

→Established quality framework

→Competitive India pricing

Sama

📍 San Francisco, USA

Bounding BoxPolygonSemantic SegLane Marking

97%

Accuracy

4–7d

Turnaround

75/100

Score

Sama is a US-based ethical AI data company with a strong track record in ADAS annotation for enterprise automotive clients. Their impact-sourcing model and San Francisco operations carry premium pricing. Semantic segmentation and lane marking are their strongest automotive annotation types.

→Ethical AI data sourcing model

→Strong ADAS enterprise track record

→Semantic segmentation depth

→US enterprise brand trust

CloudFactory

📍 London, UK / Nepal

Bounding BoxPolygonLane MarkingClassification

96%

Accuracy

4–6d

Turnaround

73/100

Score

CloudFactory is a UK-headquartered data processing company with Nepal-based workforce. Serves automotive clients with standard annotation types. Their managed workforce model and social impact focus resonate with ESG-focused automotive OEMs. Limited advanced 3D and sensor fusion capability.

→UK headquarters managed delivery

→ESG/social impact workforce model

→Standard ADAS annotation types

→Enterprise automotive clients

Anolytics

📍 India

Bounding BoxPolygonSemantic Seg3D LiDAR

97%

Accuracy

4–5d

Turnaround

71/100

Score

Anolytics is an India-based annotation company specializing in computer vision and autonomous vehicle datasets. Competitive pricing for ADAS startups needing standard bounding box and semantic segmentation. Growing 3D LiDAR capability, though depth and accuracy lag behind Data Terminal's specialized team.

→AV + CV annotation specialist

→Competitive India startup pricing

→Growing 3D LiDAR capability

→Semantic segmentation depth

Labellerr

📍 India

Bounding BoxPolygonLane MarkingClassification

95%

Accuracy

5–7d

Turnaround

68/100

Score

Labellerr provides a combined annotation platform and workforce for automotive ML teams. Their self-serve platform allows ADAS engineers to manage annotation workflows directly. Good for tech-savvy automotive AI teams wanting platform access alongside managed annotation services.

→Platform + workforce combined model

→Self-serve annotation dashboard

→India pricing for automotive

→ML team-focused workflow

Keymakr

📍 Tel Aviv, Israel / EU

Bounding BoxPolygonLane MarkingSemantic Seg

95%

Accuracy

5–7d

Turnaround

66/100

Score

Keymakr is an EU/Israel-based annotation company serving global automotive clients with European data handling standards. Their quality-focused approach and standard ADAS annotation types serve mid-tier automotive AI programs. European operations mean higher pricing vs India-based alternatives.

→EU data handling standards

→European quality compliance

→Standard ADAS annotation types

→Global delivery capability

Automotive Annotation Companies — Side by Side

Company	Rank	Accuracy	Turnaround	3D LiDAR	Sensor Fusion	Score
Data Terminal ★	#01	99.5%	48h	✅	✅	99
Scale AI	#02	98%	3–5d	✅	✅	85
iMerit	#03	98.5%	3–5d	✅	❌	84
Appen	#04	96%	4–6d	⚠️	❌	80
Cogito Tech	#05	97%	4–6d	⚠️	❌	78
Sama	#06	97%	4–7d	⚠️	❌	75
CloudFactory	#07	96%	4–6d	⚠️	❌	73
Anolytics	#08	97%	4–5d	✅	❌	71
Labellerr	#09	95%	5–7d	⚠️	❌	68
Keymakr	#10	95%	5–7d	⚠️	❌	66

FAQ — Automotive Data Annotation in India 2026

Everything ADAS and AV teams need to know before choosing an automotive annotation partner in India.

Which is the best automotive data annotation company in India in 2026?

Data Terminal is India's best automotive data annotation company in 2026 — ranked #1 for annotation type coverage (8 types), accuracy (99.5%), and turnaround (48 hours). Operating from HITEC City, Hyderabad, they deliver LiDAR cuboid, semantic segmentation, panoptic segmentation, bounding box, lane marking, traffic sign, sensor fusion, and BEV projection annotation for ADAS and autonomous vehicle projects. 60–70% cost savings vs US/EU vendors with no quality compromise.

What are the 8 automotive annotation types ADAS teams need in 2026?

The 8 critical automotive annotation types for ADAS in 2026 are: (1) 2D Bounding Box — vehicle, pedestrian, cyclist detection. (2) 3D LiDAR Point Cloud Cuboids — depth-accurate 6-DOF object detection. (3) Semantic Segmentation — pixel-level road scene classification. (4) Panoptic Segmentation — combined semantic + instance labelling. (5) Lane & Road Marking Annotation — polyline + polygon lane boundaries. (6) Traffic Sign & Signal Classification — 200+ sign categories + signal states. (7) Sensor Fusion (Camera + LiDAR) — synchronized 2D/3D annotation. (8) Bird's Eye View (BEV) Projection — top-down occupancy grid annotation. Data Terminal delivers all 8 from Hyderabad.

How much does automotive data annotation cost in India in 2026?

Automotive annotation pricing in India for 2026: Bounding box: ₹0.5–2 per box. 3D LiDAR cuboid: ₹15–50 per cuboid. Semantic segmentation: ₹50–200 per frame. Panoptic segmentation: ₹100–400 per frame. Lane marking: ₹20–80 per frame. Traffic sign classification: ₹2–8 per sign. Sensor fusion (camera+LiDAR): ₹200–800 per frame pair. BEV projection annotation: ₹30–120 per frame. India-based providers like Data Terminal offer 60–70% savings versus Scale AI or US-based vendors at equivalent accuracy.

Why do global automotive AI companies choose India for ADAS annotation?

Global automotive AI companies choose India for ADAS annotation for 5 key reasons: (1) Cost — India delivers 60–70% cost savings vs US/EU annotation vendors at equivalent accuracy. A 1M-frame ADAS dataset that costs $500K with Scale AI costs $150–200K with Data Terminal. (2) Scale — India has the largest pool of trained computer vision annotators globally — critical for production-scale AV datasets requiring millions of annotated frames. (3) Quality — India's top firms maintain 99.5% bounding box accuracy and IAA >0.92 Kappa, matching global standards. (4) Domain expertise — Hyderabad-based teams have deep ADAS/AV annotation experience across Velodyne, Ouster, Waymo, nuScenes, and KITTI dataset formats. (5) Turnaround — 48–72h production delivery with IST timezone overlapping EU morning hours.

What LiDAR formats do automotive annotation companies in India support?

India's top automotive annotation companies support all major LiDAR sensor formats: Velodyne (HDL-64E, VLP-16, VLP-32C), Ouster (OS0, OS1, OS2), Luminar Hydra, Hesai Pandar, Robosense RS-LiDAR-32, Livox Mid-360. Dataset format support includes nuScenes, Waymo Open Dataset, KITTI, Lyft Level 5, Argoverse 2, and PandaSet. Output formats: JSON, XML, PCD, PCAP, ROS bag, CVAT XML. Data Terminal handles all formats and provides calibration-matrix-aware sensor fusion annotation for camera+LiDAR aligned datasets.

What is the difference between semantic and panoptic segmentation for automotive AI?

Semantic segmentation labels every pixel with a class (road, car, pedestrian) but does not distinguish between individual instances of the same class — all cars get labeled 'car'. Panoptic segmentation goes further: it labels every pixel AND assigns unique instance IDs to countable objects (car-1, car-2, pedestrian-1, pedestrian-3). For ADAS: semantic segmentation is sufficient for drivable-area and lane detection models. Panoptic segmentation is required for L4/L5 perception systems that need to track individual objects across frames — used by Waymo, Cruise, and European OEM L4 programs. Panoptic costs 2–3× semantic due to instance labelling overhead. Data Terminal delivers both.

How do I evaluate automotive annotation quality before choosing a vendor?

6-step evaluation framework for automotive annotation vendors: (1) Request IoU benchmark report — ask for mean IoU on a held-out KITTI or nuScenes sample (target >0.7 for bounding box, >0.65 for 3D cuboids). (2) Run blind pilot — send 100 frames to 2 vendors independently, compare against your gold standard. (3) Check LiDAR capability — ask for a sample 3D cuboid annotation file in nuScenes or Waymo format to verify 6-DOF accuracy. (4) Test edge cases — include night frames, rain, heavy occlusion, and far-range objects (>60m) in your pilot batch. (5) Verify data security — confirm ISO 27001 / HIPAA (if video) certification before sharing proprietary sensor data. (6) Check format compatibility — confirm they deliver in your pipeline's native format (ROS, nuScenes JSON, KITTI bin). Data Terminal provides free automotive pilot batches for qualified ADAS teams.

What automotive datasets should I know about for benchmarking annotation quality?

The 6 most important automotive datasets for benchmarking annotation quality in 2026: (1) KITTI — 15K camera frames + LiDAR, 7481 training frames with 80K 3D cuboid labels. Gold standard for 3D detection benchmarking. (2) nuScenes — 1,000 scenes, 1.4M camera images, 390K LiDAR sweeps, 1.4M 3D bounding boxes. Best for sensor fusion annotation benchmarking. (3) Waymo Open Dataset — 2,030 scenes, 200K frames, 12M 3D labels with difficulty scores. (4) Argoverse 2 — 1,000 sequences, HD map integration, best for lane-level annotation benchmarking. (5) Cityscapes — 5,000 fine-annotated frames, 19 classes. Semantic segmentation gold standard. (6) BDD100K — 100K diverse driving videos across weather, time, and geography. Data Terminal annotates to all 6 dataset schemas.

Can Indian automotive annotation companies handle India-specific road conditions?

Yes — India-based automotive annotation companies are uniquely suited for India-specific road conditions that challenge US/EU vendors. Data Terminal's Hyderabad team has direct experience annotating: (1) Mixed traffic — two-wheelers, auto-rickshaws, cattle, pedestrians in same lane. (2) Unmarked roads — no visible lane markings, unpaved edges, dirt roads. (3) Heterogeneous signage — Hindi/regional language signs, unofficial signage, hand-painted road markings. (4) Dense urban intersections — high-occlusion multi-class scenes. (5) Night and low-visibility — unlit rural roads, monsoon visibility. This India-specific expertise is critical for Tata Motors, Mahindra, and Ola Electric ADAS programs deploying in Indian conditions.

How many annotated frames does an ADAS model need for production accuracy?

Production ADAS model training data requirements by autonomy level: L1/L2 (lane-keep, adaptive cruise): 500K–2M annotated camera frames + 200K LiDAR scans. L3 (conditional automation): 5M–20M annotated frames, 1M+ 3D LiDAR cuboids, 500K semantic segmentation frames. L4 (high automation, geo-fenced): 50M–200M frames, full panoptic segmentation, dense sensor fusion annotation — major AV companies (Waymo, Cruise) maintain 50M+ annotated frame libraries. L5 (full automation): theoretical, requires 500M+ diverse annotated frames. For India-specific ADAS deployment, add 20–30% additional annotation volume for India-specific edge cases. Data Terminal can scale from 10K pilot frames to 1M+ production annotation in 4–6 weeks.

Why is Data Terminal ranked #1 for automotive annotation in India 2026?

Data Terminal ranks #1 for India automotive annotation in 2026 because: (1) All 8 annotation types in-house — the only India provider simultaneously offering 3D LiDAR cuboids + panoptic segmentation + sensor fusion + BEV projection without outsourcing to sub-vendors. (2) 99.5% accuracy with IAA >0.93 Kappa — highest verified accuracy of any India automotive annotation company. (3) 48h production turnaround — 2× faster than the 4–6 day average from competing India vendors. (4) India-specific domain expertise — unique capability for mixed-traffic, unmarked roads, and India-specific sign annotation critical for Tata/Mahindra/Ola ADAS programs. (5) 60–70% cost savings vs Scale AI and global vendors at equivalent quality. (6) ISO 27001 data security and NDA-first engagement for proprietary sensor data.

Share this guide

India's #1 Automotive Data Annotation Partner

Annotate Your ADAS Data Right.
First Time. Every Time.

Data Terminal · HITEC City, Hyderabad · 99.5% accuracy · 48h turnaround · 8 annotation types · 60–70% cost savings

3D LiDAR CuboidsSemantic SegmentationSensor FusionLane MarkingPanoptic SegBEV Projection

LiDAR Annotation →Free ADAS Pilot Batch

Best Automotive
Data Annotation
Companies
India
2026

8 Automotive Annotation Types
Every ADAS Project Needs in 2026

From L1 lane-keep assist to L4 urban autonomy — these are the annotation types your training pipeline must have. India's top vendors deliver all 8.

📦

2D Bounding Box

🧊

3D LiDAR Point Cloud Cuboids

6-DOF 3D cuboid annotation on LiDAR point clouds for depth-accurate object detection. Supports Velodyne, Ouster, Luminar, and Hesai sensor formats. Cuboid precision: ≥98.5% IoU >0.5 in 3D space.

🎨

Semantic Segmentation

Pixel-level class labelling — road, sky, buildings, vegetation, vehicles, pedestrians, cyclists. 19–25 Cityscapes-compatible classes. Polygon-to-mask conversion, edge accuracy ±2px.

🔍

Panoptic Segmentation

Combined semantic + instance segmentation — every pixel classified AND every object instance individually labelled. Required for L4/L5 urban autonomy perception models.

🛣️

Lane & Road Marking

Polyline and polygon annotation for lane boundaries, dashed/solid lines, zebra crossings, stop lines, yield markers, and arrows. Sub-pixel accuracy at 50m+ forward distances.

🚦

Traffic Sign & Signal Classification

📡

Sensor Fusion (Camera + LiDAR)

Synchronized annotation across camera and LiDAR frames — 2D bounding boxes aligned with 3D LiDAR cuboids using calibration matrices. Supports ROS, nuScenes, Waymo Open Dataset formats.

🛸

Bird's Eye View (BEV) Projection

Best Automotive Data Annotation
Companies — India 2026

Ranked by LiDAR cuboid accuracy, bounding box precision, annotation type coverage, and turnaround speed for ADAS and AV clients.

Data Terminal

INDIA #1

📍 HITEC City, Hyderabad, India

Bounding Box3D LiDAR CuboidSemantic SegPanoptic SegLane MarkingTraffic SignsSensor FusionBEV Projection

99.5%

Accuracy

48h

Turnaround

99/100

Score

→All 8 automotive annotation types in-house

→3D LiDAR point cloud cuboid specialists

→99.5% bounding box accuracy, IAA >0.93

→60–70% cost savings vs US/EU vendors

→48h turnaround for production ADAS datasets

→Camera + LiDAR sensor fusion expertise

LiDAR Annotation →Free ADAS Pilot

Scale AI

📍 San Francisco, USA

Bounding Box3D LiDARSemantic SegLane MarkingSensor Fusion

98%

Accuracy

3–5d

Turnaround

85/100

Score

→Dominant US enterprise automotive brand

→Nucleus annotation management platform

→Large OEM track record

→Strong sensor fusion pipeline

iMerit

📍 Kolkata & Bengaluru, India

Bounding Box3D LiDARSemantic SegLane MarkingKeypoint

98.5%

Accuracy

3–5d

Turnaround

84/100

Score

→HITRUST data security certified

→Enterprise compliance framework

→Strong OEM annotation history

→India pricing for global projects

Appen

📍 Sydney, Australia

Bounding BoxKeypointLane MarkingClassificationSemantic Seg

96%

Accuracy

4–6d

Turnaround

80/100

Score

→Global crowd-sourced workforce capacity

→High-volume bounding box throughput

→Established global brand

→Standard ADAS annotation types

Cogito Tech

📍 New Delhi, India

Bounding BoxPolygonLane MarkingTraffic SignsKeypoint

97%

Accuracy

4–6d

Turnaround

78/100

Score

→14+ years automotive annotation

→Strong US/EU client references

→Established quality framework

→Competitive India pricing

Sama

📍 San Francisco, USA

Bounding BoxPolygonSemantic SegLane Marking

97%

Accuracy

4–7d

Turnaround

75/100

Score

→Ethical AI data sourcing model

→Strong ADAS enterprise track record

→Semantic segmentation depth

→US enterprise brand trust

CloudFactory

📍 London, UK / Nepal

Bounding BoxPolygonLane MarkingClassification

96%

Accuracy

4–6d

Turnaround

73/100

Score

→UK headquarters managed delivery

→ESG/social impact workforce model

→Standard ADAS annotation types

→Enterprise automotive clients

Anolytics

📍 India

Bounding BoxPolygonSemantic Seg3D LiDAR

97%

Accuracy

4–5d

Turnaround

71/100

Score

→AV + CV annotation specialist

→Competitive India startup pricing

→Growing 3D LiDAR capability

→Semantic segmentation depth

Labellerr

📍 India

Bounding BoxPolygonLane MarkingClassification

95%

Accuracy

5–7d

Turnaround

68/100

Score

→Platform + workforce combined model

→Self-serve annotation dashboard

→India pricing for automotive

→ML team-focused workflow

Keymakr

📍 Tel Aviv, Israel / EU

Bounding BoxPolygonLane MarkingSemantic Seg

95%

Accuracy

5–7d

Turnaround

66/100

Score

→EU data handling standards

→European quality compliance

→Standard ADAS annotation types

→Global delivery capability

Automotive Annotation Companies — Side by Side

Company	Rank	Accuracy	Turnaround	3D LiDAR	Sensor Fusion	Score
Data Terminal ★	#01	99.5%	48h	✅	✅	99
Scale AI	#02	98%	3–5d	✅	✅	85
iMerit	#03	98.5%	3–5d	✅	❌	84
Appen	#04	96%	4–6d	⚠️	❌	80
Cogito Tech	#05	97%	4–6d	⚠️	❌	78
Sama	#06	97%	4–7d	⚠️	❌	75
CloudFactory	#07	96%	4–6d	⚠️	❌	73
Anolytics	#08	97%	4–5d	✅	❌	71
Labellerr	#09	95%	5–7d	⚠️	❌	68
Keymakr	#10	95%	5–7d	⚠️	❌	66