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Infollion - On-Demand ExpertsInfollion - On-Demand Experts

Expert Validation • Model Evaluation • Human Feedback

Third Eye

Deploy domain experts to evaluate, validate and improve AI-generated outputs at enterprise scale.

From RLHF datasets and model evaluation to research validation and AI benchmarking, Infollion connects organizations with verified industry experts. Model outputs travel outward to domain experts; qualified judgement returns as structured feedback.

Third Eye Model Evaluation

Why human feedback matters

AI can generate answers. Humans determine whether those answers are correct, useful and trustworthy.

AI has dramatically accelerated how quickly knowledge can be generated. It has not changed what an enterprise decision requires before it can be made.

Correctness

Whether the output holds up against how the domain actually works, not merely how it reads.

Domain expertise

Judgement from people who have operated in the field, with the tacit knowledge no corpus captures.

Factual validation

Claims, figures and assumptions checked against practitioner knowledge before they travel further.

Contextual understanding

The regulatory, commercial and operational context that determines whether an answer is usable.

Accountability

A named, qualified reviewer standing behind the assessment - traceable, and defensible.

Organizations increasingly require experienced professionals to review AI outputs before deployment, publication or production use. Infollion is the human layer that makes that review possible at scale.

Our capabilities

Eight ways expert judgement enters your AI workflow.

RLHF & Preference Data

Experts compare multiple AI responses and identify the most accurate, useful and trustworthy answer.

Suitable for

  • Foundation models
  • Enterprise LLMs
  • Instruction tuning
  • Preference datasets
  • Alignment projects

RLHF & Preference Data

Deploy vetted domain experts to rlhf & preference data - matched to your industry and evaluation task.

  • Pre-vetted senior operators, not crowd workers
  • Confidentiality & conflict screened

Model Evaluation

Experts assess factual correctness, reasoning, hallucinations, completeness, usefulness and domain accuracy.

Ideal for

  • Benchmarking
  • Regression testing
  • Model comparison
  • Release validation

Model Evaluation

Deploy vetted domain experts to model evaluation - matched to your industry and evaluation task.

  • Pre-vetted senior operators, not crowd workers
  • Confidentiality & conflict screened

Research Validation

Organizations validate AI-generated reports through experienced industry professionals.

Use cases

  • Industry reports
  • Competitive intelligence
  • Market sizing
  • Due diligence
  • Market research

Research Validation

Deploy vetted domain experts to research validation - matched to your industry and evaluation task.

  • Pre-vetted senior operators, not crowd workers
  • Confidentiality & conflict screened

AI Agent Testing

Experts perform real-world workflows with AI agents and report where the system holds and where it breaks.

Evaluate

  • Decision quality
  • Task completion
  • Workflow accuracy
  • Edge cases
  • Robustness

AI Agent Testing

Deploy vetted domain experts to ai agent testing - matched to your industry and evaluation task.

  • Pre-vetted senior operators, not crowd workers
  • Confidentiality & conflict screened

Domain Dataset Creation

Build high-quality expert-labelled datasets for specialized industries.

Examples

  • Healthcare
  • Financial Services
  • Manufacturing
  • Energy
  • Semiconductors
  • Telecom
  • Pharmaceuticals
  • Legal
  • Retail

Domain Dataset Creation

Deploy vetted domain experts to domain dataset creation - matched to your industry and evaluation task.

  • Pre-vetted senior operators, not crowd workers
  • Confidentiality & conflict screened

Human-in-the-Loop Review

Embed expert reviewers directly into enterprise AI workflows.

Examples

  • Compliance review
  • Customer support validation
  • High-risk decision approval
  • Enterprise workflow automation
  • AI-assisted research

Human-in-the-Loop Review

Deploy vetted domain experts to human-in-the-loop review - matched to your industry and evaluation task.

  • Pre-vetted senior operators, not crowd workers
  • Confidentiality & conflict screened

AI Red Teaming

Domain experts intentionally challenge AI systems to surface what standard testing does not.

Evaluate

  • Failure modes
  • Hallucinations
  • Unsafe responses
  • Adversarial prompts
  • Robustness

AI Red Teaming

Deploy vetted domain experts to ai red teaming - matched to your industry and evaluation task.

  • Pre-vetted senior operators, not crowd workers
  • Confidentiality & conflict screened

AI Safety & Quality Assurance

Experts verify models before production deployment.

Focus on

  • Trust
  • Consistency
  • Reliability
  • Enterprise readiness

AI Safety & Quality Assurance

Deploy vetted domain experts to ai safety & quality assurance - matched to your industry and evaluation task.

  • Pre-vetted senior operators, not crowd workers
  • Confidentiality & conflict screened
Our Expert Network

OUR EXPERT NETWORK

Reviewers who have done the work, not annotated it.

Every reviewer is identified through research, screened for relevance, and qualified against the specific evaluation task - the same standard applied to every Infollion engagement.

The network spans functions, seniority levels and geographies, so an evaluation can be staffed with the practitioner closest to the question rather than the nearest available generalist.

How engagement works

A defined process, from objective to iteration.

PROCESS: ENGAGEMENT_LIFECYCLE
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Example use cases

What this looks like in practice.

TARGET: AI_COMPANY
['challenge']"Improve instruction-following model."
['expert_validation']> Finance experts rank AI-generated responses.
['status: outcome']
TARGET: CONSULTING_FIRM
['challenge']"Validate AI-generated industry report."
['expert_validation']> Former industry executives review assumptions.
['status: outcome']
TARGET: RESEARCH_ORGANIZATION
['challenge']"Benchmark AI-generated competitive intelligence."
['expert_validation']> Experts score factual accuracy.
['status: outcome']
TARGET: ENTERPRISE
['challenge']"Evaluate internal AI assistant before rollout."
['expert_validation']> Domain practitioners execute real business workflows.
['status: outcome']

Why Infollion

Built on an expert network, not a labelling workforce.

Deep Domain Expertise

Industry practitioners - not generic crowd workers.

Global Expert Network

Broad industry, geography and functional coverage.

Structured Evaluation Frameworks

Custom evaluation methodologies aligned with client objectives.

Flexible Engagement Models

Project-based, ongoing panels or embedded review teams.

Enterprise Ready

Confidentiality, compliance and scalable operations.

Engagement models

Engage at the depth the programme requires.

Project-Based Validation

Short-term expert evaluation initiatives, scoped to a specific model, report or release.

Dedicated Expert Panels

Long-term evaluation teams that stay with your models as they iterate.

Managed Human Feedback

Infollion manages recruitment, coordination, evaluation and delivery end-to-end.

Bring Human Expertise Into Your AI Workflow

Whether you’re training foundation models, evaluating enterprise AI, validating research or testing AI agents, Infollion helps organizations combine artificial intelligence with expert human judgment.

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