We harness a comprehensive and scalable technology stack designed to meet the diverse and demanding needs of large-scale data and AI projects. Our experienced network of developers and data professionals work with:
Global Experience:
Over 100,000 qualified linguists, annotators, and AI professionals worldwide.
Proven Track Record
Delivered 100,000+ hours of voice data and 50,000+ hours of multilingual data annotation for major tech firms, LSPs, and Fortune 500 companies.
Flexible & Scalable
Our vast vendor pool means we can handle projects of any size, on any timeline, in virtually any language or domain.
Voice Collection
- 30+ languages, 100,000+ speech hours delivered
- Wide variety of sampling rates, bit depths, mono/dual WAV (including split-mono WAVs)
- Dialectal & accent diversity for global model training
Image Collection
- Facial recognition datasets: photos at multiple distances, lighting conditions, expressions, accessories
- Custom tasks for emotion detection, ID verification, access control
Text Collection
- Call centre dialog: queries, responses, intents
- E-learning content and question/answer pairs
- Synthetic and real-world text corpora for AI training
Video Collection
- Multimodal: voice recognition + body language/gesture tracking
- Scenario-based capture for complex ML training
- 50,000+ hours of multilingual annotation delivered
- Full workflow: writing/curating queries, annotating responses, tagging keywords
- Labeling for RAI (Responsible AI): bias, harm types, safety variables
- Custom criteria: accuracy, helpfulness, correctness, instruction following,
context awareness (up to 9+ variables) - Quality assurance: Multi-stage review, robust guidelines, and inter-annotator
agreement scoring
Our resources include hundreds of highly skilled developers, data scientists, and ML engineers with hands-on experience in
- Data curation & pre-processing for LLMs
- Prompt engineering and evaluation
- Model training, fine-tuning, and validation
- Human-in-the-loop feedback collection
- Adversarial & edge-case data synthesis
- Quality assurance and compliance auditing
Data Collection & Preprocessing
- Python: Core automation, data cleaning, audio/image/text/video processing, and custom pipeline development.
- OpenCV, PIL, ffmpeg: Advanced image and video handling—frame extraction, facial landmark detection, and quality normalization.
- spaCy, NLTK, langdetect: Natural language processing for data filtering, tokenization, and language identification.
- Custom Scripting & Automation: Tailored solutions for large-scale ingestion, conversion, and QC across multiple formats and languages.
Annotation & Database Infrastructure
- Label Studio, Prodigy, CVAT, Supervisely: Professional-grade annotation tools
for text, image, video, and audio at any scale. - Pandas, NumPy: Data wrangling, consistency checks, and annotation quality
assurance workflows. - Elasticsearch, PostgreSQL, MongoDB: Robust data storage, indexing, and
retrieval systems to support complex projects and audit requirements.
- Label Studio, Prodigy, CVAT, Supervisely: Professional-grade annotation tools
LLM Training, Fine-Tuning & Evaluation
- PyTorch, TensorFlow, JAX: State-of-the-art frameworks for training, transfer
learning, and model optimization. - Hugging Face Transformers, Sentence Transformers: Fast, flexible model
experimentation, deployment, and evaluation. - Databricks, Ray, Dask: Distributed data processing and parallel training at
cloud scale for efficiency and speed. - Weights & Biases, MLflow, TensorBoard: Comprehensive experiment tracking,
hyperparameter optimization, and transparent model reporting.
- PyTorch, TensorFlow, JAX: State-of-the-art frameworks for training, transfer
Deployment, Integration & MLOps
- Docker, Kubernetes: Containerized, scalable deployment for production AI/ML
workflows and annotation platforms. - FastAPI, Flask, Django REST: Secure APIs for real-time data transfer,
annotation, and integration with client systems - Azure, AWS, Google Cloud: Secure, compliant cloud infrastructure for storage,
compute, and collaborative project management. - ONNX, TensorRT, Groq Compiler/Chip: High-performance model optimization
and deployment for edge and cloud inference.
- Docker, Kubernetes: Containerized, scalable deployment for production AI/ML
Responsible AI, Compliance & Security
- Fairlearn, AIF360: Bias and fairness assessment tools for ethical AI model
development. - Human-in-the-Loop Dashboards: Custom feedback and validation systems for
RLHF, alignment, and advanced QA. - ISO, HIPAA, GDPR Standards: Industry-leading privacy and data security at
every stage of the pipeline.
- Fairlearn, AIF360: Bias and fairness assessment tools for ethical AI model
With this deep and flexible stack, we deliver projects of any size and complexity, providing seamless integration with your existing workflows, rapid scale-up, and consistent quality.
Vendor Network & Scale
- Global Reach: Over 100,000 pre-vetted professionals, enabling rapid scale-up.
- Diversity: Multicultural and multilingual teams for global datasets.
- Reliability: 99.9% of mainstream AI service providers’ requirements matched by
our resource pool. - Confidentiality: GDPR, HIPAA, and ISO-compliant data handling.
LLM Services Menu
- LLM fine-tuning for domain-specific applications (healthcare, finance, customer service, etc.)
- Prompt/response dataset creation and evaluation
- Custom instruction tuning & RLHF (Reinforcement Learning from Human Feedback)
- Multi-language alignment and QA
- Bias detection and mitigation strategies
- Integration & deployment support (APIs, cloud infrastructure)
- Model monitoring and post-deployment analytics
We support tech firms, translation providers, LSPs, and enterprise clients worldwide. Our consultative, long-term approach ensures we deliver not just data, but true project partnership and innovation.
Whether you need voice, image, text, or video data—or full LLM fine-tuning and evaluation—our global team is ready.
Contact us to discuss your project or request a quote today!
