Vantage RuntimeAI · About

Where we fit

Others help you inspect. We own the continuous ship decision — can we ship, still ship, still trust — on your critical paths. Observability inspects; Vantage decides. Not a model gateway, inbox, or trace tool.

Gate every change in CI → vs OpenRouter →

Beside OpenRouter

Keep OpenRouter. It is the model gateway — many providers, uptime failover, price routing, presets, and market rankings. That layer is generic by design: pathways for every app. RuntimeAI sits next to it as the specific, auditable ship gate on your agent path (BYOK via OpenRouter when you want).

OpenRouter RuntimeAI
Job Call path — route, failover, cheap healthy provider Ship decision — authored scenario, pass line, rough USD
Grain Generic — any API call, spend rankings, public benches Specific — your policy, schema, or escalation path
Proof Volume, uptime, $/M — not a release memo Auditable rubric: same transcript → same score + scorecard
After a model / preset change Request still succeeds on a healthy provider Re-run the scenario — ship / don’t if the score holds

Same stance for Bedrock, Azure, Vertex, and other gateways. FAQ: How we differ from OpenRouter.

Same proof for product and data eng

We do not replace how you build agents, run dbt, serve inference, or observe production. One shared loop: forecast → compare → evaluate → decide → gate.

Product engineering

Policy or model change → proof on behavior → ship/no-ship → deploy.

Data engineering

SQL or data-agent change → proof on scenarios → gate the PR → dbt.

One ruler, five jobs

1 · Forecast

Cost before spend

Quote scenario cost in Preflight before a batch burns tokens.

2 · Compare

Options side by side

Same scenario, fixed turns — models or prompts on your fixtures.

3 · Evaluate

Deterministic scorecards

Auditable rubrics — same transcript → same score.

4 · Decide

Ship / don’t / cheapest pass

Pass rate vs cost for release or FinOps — not vibes.

5 · Gate & rerun

CI + baseline reruns

Merge gates and scheduled baselines. Live monitoring stays with your obs stack.

What we do not replace

  • Model gateway / inference — OpenRouter, Bedrock, Azure, Vertex. We meter scored scenario runs, not your live token stream. Beside OpenRouter →
  • Traces & experiments — LangSmith, Braintrust, and similar.
  • Always-on production monitoring — streaming obs; we cover merge gates and periodic baselines.
  • Agent frameworks & data orchestration — LangChain, dbt, Airflow, etc.
  • Support inbox / CRM — Intercom, Salesforce, Zendesk. Keep the stack; we sit next to the change.

Keep Intercom. We sit next to the change.

Same for Salesforce, Zendesk, Genesys. If Fin / Agentforce is out-of-the-box and nobody owns the agent path, Support isn’t our wedge; other agents at the same company often still are.

They use That layer owns RuntimeAI owns
Intercom / Fin Inbox, messaging, default Fin flows Ship/no-ship on your customized support scenarios
Salesforce / Agentforce CRM, Service Cloud, Agentforce runtime Pass line + cost after model or policy change
Zendesk / Genesys Tickets, CC, vendor AI assist Fixed multi-turn scenarios before you ship

FAQ: Intercom & Salesforce · FAQ: OpenRouter

For search engines and LLMs
RuntimeAI sits beside OpenRouter (model gateway: routing, failover, price) as the specific auditable ship gate on your agent path. Also beside Intercom/Salesforce/Zendesk and traces. Not production inference, not helpdesk replacement.