AI Evaluation &LLM Evaluation Services
Expert human evaluation for large language models — from output quality and factuality to human feedback, safety and multilingual review — delivered through a managed team model rather than an anonymous crowd.
AI evaluation, end to end
We evaluate how large language models actually behave — not just whether they pass a benchmark. Each layer is performed by human specialists, with quality control built into our process and results delivered in a form ML and safety teams can act on.
AI & LLM evaluation — output quality, instruction-following and side-by-side model comparison against defined criteria.
Human feedback & RLHF — preference ranking, reward-model data and SFT demonstrations that align models to expert judgment. Explore RLHF & human feedback →
Factuality & quality — claim verification, citation auditing and hallucination review with domain-focused fact-checking.
Safety & red teaming — adversarial testing for jailbreaks, harmful outputs and policy violations. Explore AI red teaming →
Multilingual & domain evaluation — native-speaker and subject-matter review across languages and specialist domains.
Enterprise delivery — dedicated managed teams, secure environments and transparent reporting from pilot to production scale.
Core LLM Data Services
Comprehensive services across the LLM development lifecycle
RLHF & Human Feedback
Human preference and comparison data that aligns models with expert judgment.
Factuality & Knowledge Grounding
Evaluate LLM responses for factual accuracy, citation quality, hallucination detection, and knowledge grounding. Our specialists verify claims against authoritative sources — at scale.
Red-Teaming & Safety
Adversarial testing by security-aware, domain-expert annotators. We probe for harmful outputs, jailbreaks, bias, and policy violations — so your model is safe before it ships.
Multilingual Evaluation
Native and near-native language review across a broad range of languages. We evaluate translations, cultural fit, code-switching, and cross-lingual factuality — not just surface-level fluency.
Domain-Specific Data Creation
Custom dataset creation for specialized verticals including healthcare, finance, legal, and technical domains. Built by practitioners, validated by experts.
Multi-Layer Quality Assurance
Enterprise-grade QA processes with multiple review layers, inter-annotator agreement tracking, and continuous improvement cycles.
AI Staffing Services
Pre-vetted professionals ready to support your LLM initiatives
AI Data Annotators
Trained annotators with expertise in LLM data labeling, RLHF tasks, and domain-specific annotation requirements.
AI Training Specialists
Professionals who design and deliver training programs for annotation teams, ensuring consistent quality across projects.
AI Operations & Project Management
Experienced managers who oversee AI data projects from inception to delivery with enterprise-grade governance.
AI Quality Assurance
QA professionals specialized in AI/ML data quality, statistical analysis, and continuous improvement methodologies.
LLM Training Services
End-to-end data pipelines for training and fine-tuning large language models
Supervised Fine-Tuning (SFT)
High-quality instruction-response pairs and conversational data for fine-tuning base models to follow instructions and engage naturally.
RLHF Data Pipelines
Human feedback for reinforcement learning — preference ranking, comparison data and reward-model data, run as a managed program.
Constitutional AI & Safety Training
Data creation for alignment training, safety guardrails, and constitutional AI approaches to ensure responsible model behavior.
Domain-Specific Model Training
Specialized training data for vertical-specific LLMs in healthcare, legal, finance, and technical domains with expert validation.
Delivery Models
Choose the engagement model that fits your needs
Dedicated Teams
Fully managed annotation teams dedicated to your project with consistent personnel and deep domain expertise.
Managed Services
End-to-end project management with Digitive owning delivery, quality, and timeline commitments.
Hybrid Delivery
Flexible combination of onshore oversight with offshore execution for optimal cost-quality balance.
Rapid Scale
Quick ramp-up capabilities with pre-trained workforce ready to deploy on new projects within days.
Why Choose Digitive for LLM Services?
We bring enterprise-grade rigor to our delivery
Quality First
Multi-layer QA with inter-annotator agreement tracking
Secure Delivery
NDAs, identity verification and access controls
Multilingual Reach
Multilingual and regional coverage
Rapid Start
Managed pilot start, then scale
Dedicated Teams
Consistent personnel for project continuity
Transparent Reporting
Regular metrics and progress visibility
Proof from recent engagements
Anonymized annotation and evaluation work — RLHF, multilingual, red teaming and personalization — delivered by expert human specialists.
150+ program specialists · 85%+ IAA · 60-day scale-up
RLHF pipeline for a frontier LLM lab
How we stood up a 150-person annotation team in eight weeks and lifted preference-ranking agreement past 85%.
Read case study18 languages · 400+ native evaluators · 96% on-time
Multilingual output evaluation for a global consumer AI
Native-speaker linguistic and cultural evaluation across 18 languages — beyond back-translation, beyond BLEU.
Read case study2,300+ adversarial prompts · 40+ languages · 118 critical findings
Frontier-model red team for a policy-critical AI deployment
Structured adversarial testing across jailbreaks, prompt injection, and policy stress — with severity-ranked findings the safety team could act on.
Read case study900+ eval cases · 70+ sprint specialists · 1 week
900+ personalization evaluation tasks in one week
How Digitive mobilised 70+ credentialed specialists in under 48 hours to rescue a frontier-model deadline — with 100% completion and 100% on-time submission.
Read case studyReady to Scale Your LLM Initiatives?
Let's discuss how Digitive can support your AI data needs with our specialized staffing and training services.