AI you can trust.trust.
Understand, debug and optimise the AI you already run — with no re-platforming.
Time to resolve
Open one execution instead of five dashboards, and name the layer that broke.
Cost to run
See what is consuming the budget, at the level where someone can act on it.
Value delivered
Ship AI dependable enough to put in front of customers and regulators.
Enterprise AI
AI is in production.
Proof isn't.
You get spend traced to the decision that caused it, and evidence behind every AI decision.
of generative-AI projects are abandoned after proof of concept — cost, data quality, and unclear value.
Source · Gartner
of agentic-AI projects will be canceled by 2027 — escalating costs and unclear business value.
Source · Gartner
more tokens consumed year over year — even as prices halved. Cheaper tokens, heavier bills.
Source · Bain & Co. · via Fortune
This is the gap Evigauge closes. Provenance, not promises.
Why Evigauge
From black box to full provenance.
Four stages. One platform.
Most organisations are stuck between “we use AI” and “we can run AI.” These four stages are how you close that gap.
See what actually happened.
One execution path across agent fleets, models, retrieval, tools and guardrails — whether the run ends in a reply, a ticket, a transaction, or a machine on the floor acting on it.
One platform.
Every leader's answer.
Get the answers your leadership team is asking for.
Book a demoOne layer · every AI system
Four things that change on day one.
One SDK across agent fleets, pipelines and connected machines. Nothing to migrate.
Know why the system did what it did.
What you get: “Why did it do that?” settled in minutes, not a week of engineering time.
Replay any run, exactly as it happened.
What you get: Incidents resolved from evidence instead of reproduced from memory.
Find the money before finance does.
What you get: A costed change your team can make this week, not a chart to stare at.
Prove it, when someone asks you to.
What you get: AI that clears risk review instead of stalling in it.
How it works
Live in under an hour.
No engineering required.
Drop in the SDK and the panels reconstruct themselves — provenance, reasoning, and cost, from your app's own execution.
Connect
Drop in the SDK — it instruments your LLM calls, tools, and retrieval. No code changes, live in under an hour.
Discover
See every call across the company, reconstructed by source, reasoning, provider, and cost.
Act
Real-time findings. Catch drift and cost spikes, prove provenance, and act with the exact fix.
Plugins
Drop it into the tools you already code in.
Ready-made plugins for the AI coding tools your team already runs — same provenance, cost, and trust, right inside the workflow.
Claude Code
Kilo Code
Google CLI
Kimi Code
Security & deployment
What leaves
what stays
The boundary · 00
Prove every run stayed inside your walls — attributed, aligned, and audit-ready, with zero data egress.
| Time | Scope | Shape | Event | Where | Status |
|---|---|---|---|---|---|
| 14:02:04 | CI | shipcheck.gate | PR #482 | Passed | |
| 14:02:39 | KB | provenance.verify | source-matrix | Grounded | |
| 14:03:11 | WEB | web.crosscheck | open-web | Blocked · no egress | |
| 14:03:48 | PII | pii.redact | ingest | Redacted | |
| 14:04:20 | ALIGN | query.align | u/j.chen | Within KB | |
| 14:04:55 | RBAC | role.scope | owner/dev | Enforced | |
| 14:05:26 | KB | drift.check | kb-baseline | Within 1σ | |
| 14:05:59 | LOG | audit.write | ledger | Sealed |
Nothing leaves your walls. Every run attributed, aligned, and on the record.
Read the security detail