WF Intelligence

Intelligence for the decisions AI is making.

WF Intelligence connects companies, AI platforms, models, deployments, incidents, litigation and regulatory activity into a continuously maintained, evidence-backed intelligence network.

Ask a questionFollow the relationshipsSee the evidence

Fig. 1 — One question, followed to its evidenceContinuously maintained
Show me age-related incidents and litigation involving Acme’s employment platform.
The platformAcme, at the centre of the questionEvery other card on this board is something WF holds a sourced relationship for. Hover any card to see what it connects to.

Ask a question.
Follow what connects.

What do we know about Acme?
  1. AI employment platformAcme
View evidence
The problem

AI information is everywhere. Intelligence isn’t.

Important information about AI systems is scattered across court records, regulatory filings, company disclosures, vendor materials, incident reports, research and thousands of other sources.

  1. 01 · RetrievalA search engine can find documents.
  2. 02 · GenerationAn LLM can summarise them.
  3. 03 · IntelligenceWF Intelligence connects them.

It maintains a structured record of the relationships between the things that matter. So instead of reconstructing the world every time you ask a question, you can investigate a continuously maintained record of what is connected to what — and why.

  • Companies
  • Platforms
  • Models
  • Products
  • Deployments
  • Incidents
  • Litigation
  • Regulation
  • Evidence
Entry points

Start anywhere.

What AI does this company actually use?

Investigate an organisation to uncover:

  • AI platforms and products
  • Specific deployments and use cases
  • Models and infrastructure where known
  • Reported incidents
  • Litigation and regulatory activity
  • Historical technology changes
  • Supporting evidence
Ask WF
Question

“What AI systems does Acme Corp use in hiring, and what incidents have been associated with those systems?”

Explore companiesAnswers cite the record they come from
The record

The relationship is the intelligence.

WF maintains relationships between the things in the record — and every material one carries its source, its evidence, a confidence, when it was first observed and last verified, its effective dates and its history. Open any row.

Source
Federal court docket
Evidence
ACourt record
Confidence
High
First observed
Feb 2023
Last verified
30 Sep 2026
Effective dates
Filed Feb 2023 — ongoing
History
Status updated 4 times

Illustrative records. Acme is a fictional platform; the fields, evidence tiers and the rule that an allegation is never shown as a finding are exactly those of the live record.

Who it is for

Built for consequential research.

For lawyers

Investigate the technology behind the decision.

Your client believes an automated system affected an employment decision. WF can help you investigate:

  1. What system was used?
  2. What did the system do?
  3. What other companies use it?
  4. Have similar incidents been reported?
  5. Has the platform appeared in litigation?
  6. What evidence supports those relationships?

Go from a client allegation to a structured investigation of the technology surrounding the decision.

For insurance & risk

Understand the AI behind the risk.

AI exposure is difficult to evaluate when you do not know what systems an organisation actually uses. WF connects organisations to:

AI deploymentsPlatformsModelsUse casesIncidentsLitigationRegulatory activityHistorical changes

Investigate individual risks, or monitor AI exposure across a portfolio.

For journalists & researchers

Find the pattern behind the story.

Investigate relationships across companies, platforms, models and incidents without manually reconstructing them from hundreds of disconnected sources.

Follow a finding all the way back to its evidence.

Over time

AI is moving quickly. The record needs to keep up.

Systems change underneath the organisations that run them, usually without announcement. WF Intelligence connects the record over time, so what was true last year stays distinguishable from what is true now.

  • Companies deploy new systems
  • Platforms change
  • Models change
  • Incidents occur
  • Lawsuits are filed
  • Regulators respond