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Venturi
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The attribution layer for AI.

Know who owns your AI spend: the team, service, identity, and budget behind it, while reducing dependence on manual tags.

Venturi resolves that ownership in one attribution graph, built inside your environment from read-only evidence. Start with cost ownership; the same graph extends into adoption intelligence.

Anyone can measure AI spend. Venturi tells you who owns it.

Companies need the infrastructure that makes usage understandable and inefficiencies easily diagnosable.

What Venturi delivers

  1. Visibility

    Adoption Intelligence

    Map inference activity to the teams, models, services, costs, and intended workflows supported by available evidence. Surface shadow AI where evidence exists, and label detected-only or uncapturable pathways.

  2. Control

    Govern Consumption

    Route to lower-cost equivalent models, apply team-level budgets, flag waste before it lands on the bill. Advisory by default; enforcement is opt-in.

  3. Economics

    AI decision economics

    Attributed spend with workflow and budget context where evidence supports ownership. Venturi surfaces where consumption concentrates and where teams and workflows can be reviewed against business context without asserting unproven revenue attribution.

  4. Safety

    No production-traffic blocking

    The synchronous decision-time interceptor fails open within a 50ms latency budget, so inference traffic continues even if Venturi is unavailable. Read-only connectors stay inside your VPC, and customer transactional and AI-invocation data never leaves the customer environment.

  5. Resilience

    Built for imperfect data

    Enterprise data is fragmented, inconsistent, and incomplete. Venturi does not assume clean data. Our engine resolves attribution through heuristic entity reconciliation with resource tags as supporting evidence. It learns, improves, and grows with you.

How it works

01

Trace

Read existing evidence from billing, identity, source control, CI/CD, telemetry, and HRIS.

02

Attribute

Connect visible AI-invocation evidence to service, owner, team, organization, and budget with a confidence score capped at 0.95.

03

Act

Produce Shape recommendations by default. Gate only when the customer explicitly opts in for a workload.

Venturi attribution flow diagram

Every prompt has a cost. Every output has an owner.

From prompt to P&L

Venturi attribution flow diagram Model-provider activity and customer-system signals converge on the Venturi chip. Identity Provider, Source Control, Telemetry, HRIS, and CI/CD feed attribution context into Venturi, which emits Owner, Budget, Workflow, and Gate outputs. Outputs are evidence-bounded: each carries a confidence score, and contested cases route to human review. Identity Provider Source Control Telemetry HRIS CI/CD Owner Accountable team Budget Chargeback-ready Workflow Shape recommendation Gate Explicit opt-in
Model-provider activity and customer-system signals converge on the Venturi chip. Identity Provider, Source Control, Telemetry, HRIS, and CI/CD feed attribution context into Venturi, which emits Owner, Budget, Workflow, and Gate outputs. Outputs are evidence-bounded: each carries a confidence score, and contested cases route to human review.

Inside Venturi

Resolved

Venturi fuses the signals systems already emit when an invocation is called.

In this example, an event resolves through service, owner, and team to a budget node. When the Team → Budget heuristic edge falls below threshold, the budget bifurcates into two candidates and routes to a human reviewer. Event Service Owner Team 95% 94.2% 95%
evt_8a2f evt_8a2f
gw-search gw-search
@jchen @jchen
search-eng search-eng
94.7% — Budget
B-ENG-Q4 B-ENG-Q4
CANDIDATE Budget
B-OPS-Q1
Routed to reviewer @reviewer · queue R-04

Every output carries a confidence score, and contested cases route to human review.