Reliable end-to-end data support for your tech platform or AI solution — from collection and enrichment to annotation, validation, and ongoing management.
Data is the lifeline of tech platforms and AI solutions. Even the most capable platforms need authentic, appropriately structured, and accurate data to perform correctly.
Our data management team collects from internal and external sources. We have subject matter experts (SMEs) who clean, structure, format, and label the data to fit the precise requirements of your tech platform or AI solution.
We're proud to be the Humans-in-the-Loop for your tech platforms and AI solutions — a trust evident in projects that have grown to over 200 FTEs and clients who have been with us for over 10 years. Our teams learn, suggest, adapt, and expand, becoming an integral part of your workflow.
Every offering is staffed by domain experts, runs inside your tools, and is managed by a single point of contact.
Build smarter, more reliable AI/ML and LLM solutions with our AI training data services, including data collection, annotation, model validation, and RLHF to ensure accuracy, consistency, and faster time-to-deployment for your AI models.
We provide ESG data collection, validation, and standardisation for environmental, social, and governance metrics — ensuring compliance with applicable frameworks and delivering accurate, audit-ready datasets for ESG platforms and sustainability rating agencies.
Helping enterprise sales and marketing teams reach the right prospects faster and close more deals. Our expert team handles the heavy lifting of data management so your team can focus on what matters most: converting pipeline.
Continuous data operations that keep your platform clean, current, and reliable. We embed into your workflow, maintain your data pipelines, flag anomalies before they become problems, and ensure your datasets are always production-ready.
Every engagement runs under enterprise-grade security protocols. No exceptions.
Certified information security management across all data processing operations.
Full HIPAA compliance for healthcare data — safe handling of PHI and sensitive patient records.
Processes designed to meet GDPR requirements for EU data handling, retention, and access rights.
All data in transit and at rest is encrypted. Secure cloud storage with access controls on every project.
Scheduled internal and third-party security audits keep our infrastructure and processes current.
Client data stored in dedicated, access-controlled cloud environments with full audit trails.
No lengthy procurement. No slide decks. A direct conversation, a scoped pilot, and a dedicated team embedded in your workflow.
Share your data requirements — volume, format, timeline, tools. We'll be direct about what we can deliver and at what quality level. If it's not a fit, we'll say so.
We run a small batch end-to-end so you can verify accuracy, throughput, and fit before committing to a larger engagement. Most clients decide here.
We build a team specifically around your pipeline. SMEs for your domain, QA built in from day one, one contact, clear ownership. We flag issues before you notice them.
Real engagements. Details adjusted for confidentiality.
Model accuracy looked fine in testing. In production it dropped. Labeled data had inconsistencies with no human review layer to catch them. We rebuilt the labeling workflow and added validation checkpoints throughout the pipeline.
A client's CRM had grown organically for years — duplicate records, missing fields, and stale contacts were dragging down sales efficiency. We ran a full cleanse, enrichment, and profiling programme across 80,000+ records.
Tell us your data challenge. If it's something we're genuinely good at, we'll say so. If not, we'll say that too.
Most clients start with a small pilot · No commitment required