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Behind every AI model, every migration and every clean system is an enormous volume of data that must be captured, labelled, converted and validated correctly. Done in-house, it consumes skilled people on repetitive work. Done badly, it corrupts everything built on top of it.
Tribot Digital runs these data operations at scale. Our teams handle data entry, annotation, OCR, digitization and conversion with rigorous quality control, delivering accurate, structured, usable data on fast turnarounds. Every engagement runs under ISO 27001 security and GDPR-compliant handling, delivered worldwide.
Comprehensive capabilities designed to capture, label, convert, and validate data at scale for enterprise systems and AI models.
Accurate tagging and labelling that train your AI and ML systems to interpret data precisely, across text, structured records and multi-format sources.
Meticulous image labelling and categorisation, bounding boxes, segmentation and classification, so computer vision algorithms receive high-quality training data.
Optical character recognition that converts scanned files, handwritten records and multilingual documents into accurate, structured digital data.
Advanced scanning and indexing that move you from paper to searchable digital archives, streamlining access, storage and retrieval.
Accurate, consistent data entry across diverse formats and requirements, online and offline, backed by decades of delivery experience.
Cleaning, structuring and processing raw data into usable form, so your systems and teams get maximum value from every record.
Reliable conversion between formats and systems for clients worldwide, preserving accuracy and integrity through every migration.
Extracting valuable information from diverse and unstructured sources into clean, structured, ready-to-use data.
Conversion of content into ePub, MOBI and accessible eBook formats, broadening accessibility and distribution.
A proven, four-step operational methodology to guarantee accuracy, throughput, and quality control at scale.
Every vertical has unique data velocity, volume, and compliance requirements. We build platforms that fit the specific operational reality of your sector.
Consolidating transaction logs into a high-speed data lake to run real-time anomaly detection models.
Automated ETL pipelines feeding complex credit risk and market risk Monte Carlo simulations.
Centralized data marts designed specifically to automate Basel III and MiFID II compliance reporting.
Dual-review quality control and trained specialists deliver 99%+ accuracy even at high volume.
Dedicated teams and structured workflows meet demanding turnaround times without sacrificing quality.
Annotation and labelling built specifically to train reliable AI and ML systems, including computer vision.
Every engagement handled under ISO 27001:2022 controls, with encryption, access management and audit logging.
EU-compliant data handling with minimisation, documented lawful basis and retention controls built in.
Start with a single batch or run continuous high-volume operations, with capacity that scales to your demand.
We deploy the right data architecture for your specific analytical workloads and existing infrastructure. We are not tied to a single vendor's roadmap.
Snowflake
Databricks
AWS Redshift
Google BigQuery
Apache Spark
dbt
Apache Airflow
Fivetran
Apache Kafka
AWS Kinesis
Confluent
Azure Event Hubs
Microsoft Power BI
Tableau
Looker
Qlik Sense
Data operations and processing environments managed under ISO 27001:2022 security controls, role-based access, audit logging, and encrypted data transfer.
Every data entry, annotation, digitisation, and conversion workflow operates under ISO 9001:2015 certified quality controls with dual-review validation.
EU data privacy, data minimisation, documented lawful basis, and retention governance built natively into every client data engagement.
Global delivery teams operate under Ethical Trading Initiative labour standards, ensuring fair employment, regulated working conditions, and ethical workforce practices.
Book a free Data Services consultation with our specialists. We’ll assess your architecture, review GDPR controls and benchmark current cloud data costs, then deliver a structured recommendation plan within 48 hours.