Division of Corpshore Solutions, Toronto

Corpshore AI

Your global partner for AI data collection, annotation, labeling, model training and full-cycle AI implementation.

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Active seats
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Countries
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Annotations delivered
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Languages
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Industries served
Two analysts reviewing an upward market growth chart on a large office display
Market opportunity

The AI training data market

$8.2B$49.5B (E)
2022 to 2028 · 28.4% CAGR
2022202320242025202620272028$Bn
Key market drivers
  • Explosive growth of LLMs requiring massive training and alignment datasets
  • Autonomous systems (vehicles, drones, robots) driving enormous labeling demand
  • Regulatory AI compliance: bias testing, explainability, audit documentation
  • Multimodal AI convergence multiplying data collection requirements
  • Enterprise AI adoption accelerating across every vertical globally
Full lifecycle coverage

Service portfolio

Data annotation specialist at a multi-monitor workstation labeling image data
Precision at scale

Data annotation & labeling, deep dive

Live annotation previewSimulated
Vehicle · 98.2%
Pedestrian · 96.7%

2D/3D bounding boxes, semantic and instance segmentation, polygon and polyline annotation, keypoint and pose estimation, multi-frame object tracking and scene and activity classification.

0.0%
Average accuracy
0hr
Standard turnaround
0
Platforms supported
A team of engineers collaborating around a screen showing a multi-stage data pipeline
Pre-training to RLHF

LLM & foundation model services

1
Data Collection

Web crawl, licensed corpora, synthetic augmentation, proprietary datasets.

2
Data Cleaning & Dedup

PII removal, deduplication, quality filtering, toxicity scrubbing.

3
Instruction Tuning Data

Prompt-response pairs, task demos, chain-of-thought examples.

4
RLHF & Preferences

Human feedback ranking, comparison pairs, reward model training data.

5
Red-Teaming & Safety

Adversarial testing, policy mapping, constitutional AI data.

6
Benchmark Creation

Domain evals, multilingual benchmarks, custom capability sets.

LLM training capabilities

  • Pre-training data curation and cleaning at billion-token scale
  • Instruction dataset creation, from simple QA to complex multi-step reasoning
  • RLHF labeling: pairwise ranking, Likert scoring, binary preference collection
  • Wide language coverage across translation validation, cultural adaptation and dialect mapping
  • Domain-specific corpora: legal, medical, financial, scientific, technical, code
  • Automated QA with inter-annotator agreement tracking per batch
  • Constitutional AI and policy alignment feedback data programs
  • Custom benchmark and evaluation dataset creation for model assessment
A technician reviewing sensor calibration equipment near a drone and a point-cloud display
Physical-world AI systems

Hardware AI applications

Hardware AI coverage

Supporting all hardware AI modalities: LiDAR, RGB camera, radar, thermal, multi-spectral, ultrasonic, GPS/IMU fusion and simulation data.

Two software engineers pair-programming at dual monitors
Intelligent software systems

Software AI applications

Scale on demand

Global AI delivery footprint

Canada (HQ, Toronto)
10,000+
10,000+
Philippines
7,000+
7,000+
Dominican Republic
5,500+
5,500+
USA (own + partners)
5,000+
10,000+
Uzbekistan
5,000+
5,000+
Turkiye
5,000+
5,000+
Poland
3,000+
3,000+
Colombia
2,500+
2,500+
South Africa
2,500+
2,500+
Kenya
2,500+
2,500+
Uganda
2,500+
2,500+
Mexico
2,000+
7,000+
Germany
1,500+
1,500+
Ghana (Accra)
1,000+
1,000+
UK (rep office)
1,000+ access
-
Australia (rep office)
1,000+ access
-
Vietnam
500+
3,000+
≥0%
Inter-annotator agreement target
A diverse team of professionals collaborating around a table in a modern workspace
The people, processes and platforms

Talent, quality & technology engine

Corpshore AI pairs a domain-expert workforce with an enterprise-grade quality framework and a platform-agnostic annotation stack.

Workforce engine
  • Domain-expert annotators: ML engineers, linguists, domain SMEs, QA specialists
  • Broad language coverage including rare and low-resource languages and dialects
  • Rapid ramp: several hundred new annotators deployable within two weeks
  • Industry-specific teams: medical, legal, automotive, aerospace, financial services
  • Continuous training programs aligned to client taxonomy updates
  • Background-checked, NDA-signed workforce with data security certifications
  • Senior AI PMs with deep ML data delivery experience
  • Cultural competency training for RLHF and preference annotation programs
Quality assurance framework
  • Inter-annotator agreement monitored per batch
  • Multi-tier review: annotator, QA reviewer, senior QA, client review
  • Automated consistency checks and real-time anomaly detection
  • Custom quality rubrics aligned to client taxonomy and model objectives
  • Calibration sessions with feedback loops for ongoing alignment
  • Full audit trails, version control and compliance documentation
Platforms supported
  • Label Studio
  • Scale AI
  • Labelbox
  • CVAT
  • Prodigy
  • Supervisely
  • SuperAnnotate
  • V7 Darwin
  • Appen
  • CloudFactory
Proven outcomes across six industries

Case studies

Standard onboarding timeline

1
Week 1

Discovery, taxonomy design, SOP alignment, tool setup, access provisioning.

2
Week 2

Annotator onboarding, calibration batches, QA threshold setting, test delivery.

3
Week 3

Full production ramp, KPI dashboards live, governance rhythm established.

4
Week 4+

Steady-state delivery, continuous improvement loop, scale on demand.

Wide shot of a busy open-plan tech workspace with teams collaborating
The competitive difference that scales with you

Why Corpshore AI

  • Unmatched global scale. Scale from 10 to over 1,000 annotators in weeks, not months, with true follow-the-sun AI delivery.
  • Domain expert workforce. Not just annotators: medical, legal, automotive, aerospace, financial and AI-native specialists who understand context and quality.
  • Hardware and software AI coverage. One partner for both LiDAR and sensor data for physical AI, and LLM, chatbot and NLP work for software AI. An extremely rare combination.
  • Language depth at scale. Broad coverage including low-resource and dialect languages, with native speakers only for RLHF, TTS and speech annotation programs.
  • Enterprise-grade QA framework. Multi-tier review, inter-annotator agreement monitoring, calibration protocols, audit trails and client-specific taxonomy alignment on every program.
  • Compliance-ready operations. GDPR, HIPAA, ISO-aligned security, NDA-signed workforce, dedicated secure environments, with US, EU and APAC regulatory coverage.
  • Speed without compromise. Standard turnaround on annotation with dedicated teams enabling real-time iteration alongside client model teams and ML researchers.
  • Strategic partnership mindset. Not a crowdsource marketplace: a long-term AI data partner with SLAs, accountability and shared success metrics.

Let's build the future of AI together

Corpshore AI
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