HOW WE WORK

How We Work.

From commercial question to decision-ready intelligence. Infinizy combines appropriate data, business events, targeted web research, AI-assisted workflows and human review—with qualification, evidence, interpretation and limitations kept visible.

THE WORKFLOW

Four buyer-facing phases. A rigorous research process underneath.

Define

Translate the commercial question into explicit include/exclude criteria, required evidence, buyer roles, output fields and acceptance rules.

Research

Build and resolve the account universe, route each field to appropriate sources, detect relevant developments and map buyers.

Validate

Check important evidence, entity relationships, freshness, buyer relevance and contact status. Keep uncertainty visible instead of forcing a conclusion.

Deliver & Learn

Deliver structured intelligence with context, capture acceptance or rejection reasons, and refine the model before scaling or refreshing.

OUR RESEARCH METHODOLOGY

What happens under the hood.

The exact workflow changes by project, but these disciplines remain consistent.

Translate the brief

Turn broad language such as “enterprise,” “founder-led,” “uses X” or “fast-growing” into observable rules and evidence requirements.

Assign source routes

Define which source types support each field, plus fallback routes, freshness expectations and confidence rules.

Sample before scale

Test deliberately different accounts before promising a large build, especially when the requirement is new or data availability is uncertain.

Resolve entities

Normalize brands, legal entities, parents, subsidiaries, locations and duplicates before qualification and buyer mapping.

Keep rejection reasons

Accounts that fail the model should carry a reason. That makes the qualification logic inspectable and easier to refine.

Deliver with provenance

Where the engagement requires it, retain source references, dates, confidence, interpretation and limitations alongside the structured fields.

THE EVIDENCE MODEL

Evidence, signals, interpretation and recommended action stay separate.

EVIDENCE

Verified or source-supported information about the company, buyer or environment.

SIGNAL

A dated business event or condition that may affect commercial relevance.

INTERPRETATION

Our judgment about how the evidence may connect to the buyer's commercial objective.

AI + HUMAN JUDGMENT

Technology for scale. Human judgment for decisions that matter.

Automation and AI can accelerate discovery, extraction, classification and first-pass synthesis. Human review remains important where entity resolution, commercial relevance, buyer roles or final interpretation are ambiguous.

Human-review priorities

  • Ambiguous company/entity matching
  • Commercial relevance to the client's exact objective
  • Important signal verification
  • Buyer-role relevance and current employment
  • Contact-level verification where required
  • Final qualification or rejection decision
START WITH EVIDENCE

Evaluate how we work on your own criteria.

A sample or pilot should make the quality standard visible before a larger engagement.