Services
Post training and data generation, run by domain experts.
Two core lines that cover everything from preference data and model evaluation to custom voice, video and multilingual datasets | all under NDA, all double reviewed.
Post training
Programs that improve a model after pretraining, run by experts who can reason about the task and defend their judgements.
- —RLHF
- —SFT datasets
- —Preference ranking
- —Reward modeling
- —Model evaluation
- —Safety alignment
Data generation
Custom training data built from scratch to your specification, with rights and consent documentation and a double review before delivery.
- —TTS voice data generation
- —Voice data collection and validation
- —Video data generation
- —Image datasets
- —Multilingual datasets
- —Synthetic dataset validation
- —Legal document sourcing for training corpora
Data generation in detail
Four dedicated data generation lines.
TTS voice data generation
Scripted and conversational recordings for text to speech models, across accents, languages, and speaking styles, with consent and rights documentation on every recording.
Voice data generation
Speech collection, ASR validation, speaker and emotion metadata, and conversation quality review.
Video data generation
Custom video capture and collection, video annotation, and dataset curation for vision and multimodal models.
Legal document sourcing
Sourcing, digitising, and validating legal documents for training corpora, handled by legal domain experts with strict confidentiality controls.
Coverage
Everything we cover
Technical capabilities
Task types our experts are tested on.
Image
- Bounding Box
- Polygon
- Keypoint
- Semantic Segmentation
- Instance Segmentation
- Panoptic Segmentation
- 3D Cuboid
- LiDAR
NLP
- NER
- POS
- Intent
- Sentiment
- Entity Linking
- Coreference
LLM
- RLHF
- DPO
- Preference Ranking
- Reward Modeling
- Reasoning Validation
- Safety Testing
- Prompt Engineering
- Adversarial Prompting
Speech
- ASR Validation
- Speaker Identification
- Emotion Detection
- Conversation Quality
Quality control
Quality is a process, not a promise.
Multi stage vetting
Reasoning assessment, domain skill testing and verification before anyone touches a task.
Double review system
Every task passes a QA review and an independent QC check before delivery.
Random audits
Completed work is re-sampled at random throughout the project, not just at the end.
Quality scorecards
Each contributor carries a scorecard tied to accuracy, guideline adherence and turnaround.
Performance tracking
Scores are tracked across projects so staffing decisions are based on evidence.
Continuous retraining
Underperformers are retrained against the guidelines or removed from the project.