Infrastructure Services

Purpose-built human verification infrastructure for data-intensive enterprises. Deploy scalable workforce capacity across validation, moderation, and annotation workflows.

Commercial Data Validation

We use proprietary multi-step verification frameworks to eliminate data decay and ensure hygiene at scale. Our protocols validate lead qualification and contact enrichment flows into your CRM.

Typical Use Cases

  • B2B lead verification and enrichment
  • Company and contact database validation
  • Duplicate detection and data normalization
  • Real-time data quality monitoring

Service Specifications

Throughput
50K-500K records/day
Accuracy SLA
≥99.5%
Turnaround Time
4-24 hours
Data Residency
UK/EU/US options

Trust & Safety Architecture

We deploy architected safety workflows to enforce community guidelines. Our systems detect harmful content and maintain brand safety through rigorous human-in-the-loop verification chains.

Typical Use Cases

  • User-generated content moderation
  • Brand safety and ad verification
  • Compliance monitoring (CSAM, hate speech)
  • Escalation and incident response

Service Specifications

Coverage
24/7/365
Response Time
<60 seconds (avg)
Languages Supported
25+ major languages
Wellbeing Protocol
ISO 45001 aligned

Digital Asset Operations

Specialized workforce infrastructure for virtual economies, gaming platforms, and digital marketplaces. Human validation where automation fails due to edge cases and fraud vectors.

Typical Use Cases

  • In-game item and currency verification
  • NFT and digital asset authentication
  • Player behavior and anti-cheat review
  • Account recovery and dispute resolution

Service Specifications

Transaction Volume
1M+ reviews/month
Fraud Detection Rate
>98%
Specialist Training
Platform-specific certs
Escalation SLA
<15 minutes

RLHF & Data Annotation

Human feedback infrastructure for AI training pipelines. Expert annotators provide reinforcement learning signals, preference rankings, and high-quality labeled datasets for foundation models.

Typical Use Cases

  • LLM response ranking and preference tuning
  • Computer vision annotation (objects, segmentation)
  • NLP data labeling (NER, sentiment, classification)
  • Red-teaming and adversarial testing

Service Specifications

Annotator Pool
5,000+ certified experts
Inter-Annotator Agreement
>95% (Fleiss' κ)
Domain Expertise
Medical, Legal, Finance+
Data Security
SOC 2 Type II

Discuss Your Infrastructure Requirements

Our infrastructure architects will map your workflow to the appropriate service tier and provide detailed costings.