Audio Transcription
Datasets and Services for Training LLM
Image AnnotationDATA COLLECTION AND DATA LABELING
FOR THE BANKING AND FINANCE INDUSTRY
Training Data provides a full cycle of work on collecting and marking data for training neural networks and developing AI technologies in the banking, financial and insurance industries
the fintech industry
Companies from this sector are coming to the use of artificial intelligence and machine learning to optimize their costs, increase the efficiency of internal processes, such as: fraud detection, improvement of recommendation systems, authentication and face or voice recognition and much more
Labeling images and videos
– Handwriting OCR
– Marking customer payments
– Object detection
– Marking of documents (passport, SNILS, license and others)
Data Collection
– Generation of synthetic data (audio, video, images, texts)
– Data parsing
– Crowdsourcing
Voice recognition
– Speech to text and text to speech translation
– Analysis of client mood by voice
– Voice recognition
– Voice assistant training
marking audio files for call center tasks
Market analysis
– Analysis of customer emotions based on reviews and messages
– Text recognition and extraction
– Classification of text description
Training in LLM systems and chatbots
Stages of work
-
Application
/01Leave a request on the website for a free consultation with an expert. Th e acco unt manager will guide you on the services, timelines, and price -
Free pilot
/02We will conduct a test pilot project for you and provide a golden set, based on which we will determine the final technical requirements and approve project metrics -
Agreement
/03We prepare a contract and all necessary documentation upon the request of your accountants and lawyers -
Workflow customization
/04We form a pool of suitable tools and assign an experienced manager who will be in touch with you regarding all project details -
Quality control
/05Data uploads for verification are done iteratively, allowing your team to review and approve collected/annotated data -
Post-payment
/06You pay for the work after receiving the data in agreed quality and quantity
Timeline
- 24 hoursApplication
- 24 hoursConsultation
- 1 to 3 daysPilot
- 1 to 5 daysConducting a pilot
- 1 day to several yearsCarrying out work on the project
- 1 to 5 daysQuality control
You pay for the work after you have received the data
in the established quality and quantity
in the established quality and quantity
DIDN'T FIND THE NECESSARY INFORMATION?
Leave a request for a free consultation and a test dataset!
Why
Training Data
- Quality Assurance:
- Enhanced Data Accuracy
- Consistency in Labels
- Reliable Ground Truth
- Mitigation of Annotation Biases
- Cost and Time Efficiency
- Data Security and Confidentiality:
- GDPR Compliance
- Non-disclosure agreement
- Data Encryption
- Multiple data storage options
- Access Controls and Authentication
- Expert Team:
- 6 years in industry
- 35 top project managers
- 40+ languages
- 100+ countries
- 250k+ assessors
- Flexible and Scalable Solutions:
- 24/7 availability of customer service
- 100% post payment
- $550 minimum check
- Variable Workload
- Customized Solutions
THE FINAL COST OF THE PROJECT IS INFLUENCED BY
Scope of work
Markup complexity
Timing
Markup quality
Our data quality guarantee is 95%. When ordering markup with quality above 95%, we offer enterprise solutions
Project Team Leads
Anton Tseluiko
Operations manager
Arthur Kazukevich
Python-developer
Daria Yurkevich
Quality Control Manager