Customer Grounding available now

The intelligence layer for
workforce decisions.

Turn role criteria, job descriptions, skill evidence, and occupational data into structured, explainable decision support through APIs and governed workflows.

Start now Explore the docs
project/avelinlabs-role-intelligence
AvelinLabs role intelligence workspace showing customer criteria, evidence signals, and human review guidance

Decision-ready workforce intelligence signals

Understand the role.
Review the evidence.

AvelinLabs structures workforce signals so applications and advisory teams can inspect role alignment, skill evidence, ambiguity, and review guidance.

Role Intelligence

Classify role text against occupational intelligence, surface likely alignment, and expose weak or ambiguous input signals.

Skill Evidence

Extract and normalize skill signals from job text, then return structured evidence alongside quality and confidence context.

Review Guidance

Use confidence, uncertainty, weak-signal detection, and review flags to keep consequential workforce decisions human-led.

Integrate through a structured REST API.

AvelinLabs exposes workforce intelligence through authenticated JSON contracts. Submit role text, inspect ranked occupation results, and route uncertain cases for review.

  • Structured confidence, uncertainty, and decision fields
  • Customer-operated MCP adapter over the Runtime API
Explore the docs
job-analyze.sh 
curl -X POST "$AVELIN_API_BASE/api/v1/job/analyze" \
  -H "X-API-Key: $AVELIN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "title": "Business Analyst",
    "description": "Facilitate stakeholder workshops, define requirements, and analyze data.",
    "debug": false
  }'

# Returns ranked occupations, skill signals,
# confidence, uncertainty, and review guidance.

A governed workforce decision flow.

From role context and customer criteria to evidence-backed output for human review.

1

Context and Criteria

Start with job text and tenant-scoped role criteria or competency evidence available through Customer Grounding.

2

Signals and Evidence

AvelinLabs combines occupational grounding, extracted skill signals, input-quality checks, and relevant customer evidence.

3

Decision Support

Structured results expose alignment, confidence, uncertainty, evidence references, and flags for further human review.

Technology and standards

Documented interfaces, grounded occupational context.

Occupational grounding uses the O*NET® 30.3 Database. Integration surfaces include documented REST endpoints, an OpenAPI-described API surface, structured JSON responses, and an optional customer-operated MCP adapter.

O*NET® 30.3 Occupational grounding
REST API Documented endpoints
OpenAPI Described API surface
MCP adapter Customer-operated stdio
JSON Structured responses

Product and company names may be trademarks of their respective owners. Their use does not imply endorsement.

Review the decision, not a black box.

These decision-support lenses describe inspectable AvelinLabs outputs across role context, evidence quality, and human review.

Inspect likely occupation alignment, input quality, and ambiguity before treating a job description as a reliable role definition.

Role context connected to criteria, skills, and occupation data

Role clarity

Structured role context

Trace grounded findings to evidence references and source context so reviewers can understand what influenced the output.

Evidence signals organized by support and review status

Evidence trace

Support and provenance

Use confidence, uncertainty, weak-signal detection, and review flags to decide what needs further human judgment.

Human review checkpoint with guidance and escalation paths

Human review

Guidance and escalation

Frequently Asked Questions

A concise view of current scope and deliberate boundaries.

AvelinLabs is a workforce intelligence layer. It turns role text, occupational data, skill signals, and customer-provided criteria into structured decision support for applications, advisors, and human reviewers.

Customer Grounding lets an account register tenant-scoped knowledge sources and use relevant evidence in grounded Role Intelligence reports with provenance, traces, and review flags.

REST is the stable integration contract. A customer-operated MCP stdio adapter has also been validated over the authenticated Runtime API; AvelinLabs does not currently offer a hosted MCP service.

No. AvelinLabs provides decision support. Confidence, uncertainty, evidence, and review guidance help people decide what can proceed and what needs further human judgment.

What you can build.

Start with the documented capability that can answer your workforce question.

Role review

Start from a job title and description.

Report
  • Likely occupation alignment
  • Detected skill signals
  • Ambiguity and review guidance
Start now

Customer Grounding

Available now

Ground a role review in customer-provided criteria.

Grounded
  • Tenant-scoped knowledge sources
  • Evidence and source references
  • Decision traces and review flags
  • Authenticated Runtime API access
Start building

API integration

Use current structured REST contracts.

API
  • Job analyze and classify routes
  • Structured JSON responses
  • Confidence and uncertainty fields
  • Public documentation and examples
Explore the docs

Start building now.

Use the getting-started guide to move directly from setup to your first documented AvelinLabs workflow.

Self-service onboarding

Follow the documented setup path at your own pace.

Self-service onboarding

Start with the setup guide, continue through the public documentation, and use runnable examples as you build.

  • Getting-started path
  • Public API documentation
  • Executable examples
Start now Explore the docs View examples