An auditable Trust Score, a visible chain of custody, and autonomous action the moment something breaks — for the CDOs and CFOs who put their name on the numbers.
It is not a catalog. (like Atlan)
It is not detection. (like Monte Carlo)
It is certification + autonomous action, with a named owner.
Your CFO signs quarterly reports the team cannot rebuild 30 days later. When the connector to SAP slows down, the blast radius is credibility with the board — not a failed CI job. ZEVORIX exists because no engineer gets paid to explain the origin of a number they never certified.
73%
of mid-market data teams have no named accountability for a critical stream
$4.2M
average error in an uncertified quarterly close (one real case)
6–12 mo
to build data governance in-house
Every edge carries a Trust Score by lineage. Auditable end to end.
Source systems
Raw events, validated
FX-normalized, deduped
Aggregated, certified
Data Product
María Fernández
Data Product Owner
Trust Score
$480K
Value at Risk
Certified consumers
Every edge is auditable end to end — not a single global health number.
Detects degradation and takes action — freeze, page, alert — before it reaches the board.
Revenue Intelligence ships with 13 pre-calibrated expectations out of the box.
Every certified Data Product becomes a governed MCP endpoint your AI agents query with their own OAuth identity — gated by Trust Score, cited, and audited on every call. Validated in production with real agents.
Each agent sets a Trust Score threshold. It only receives data from certified products above that threshold; below it, the request is refused.
Below the threshold the agent gets an explicit refusal — never fabricated or silently degraded data. The structural moat against hallucinations over untrusted data.
Every response ships with its trust envelope (score, dimensions, caveats) and a lineage citation hash. Auditable end to end.
Each agent gets its own OAuth credential and effective threshold — the max of product and agent. Revoke access in one click.
Register an agent from ORBIT (name + threshold + products) and get its credentials instantly — no tickets, no manual setup.
Exposed via the MCP (Model Context Protocol) standard plus a typed data-plane SDK: any agent or multi-agent system connects with no custom integration.
Traditional monitoring was built for applications. ZEVORIX Platform was engineered from the ground up for the unique reliability challenges of modern data and AI systems.
< 30s
avg. remediation time
Detects, root-causes and remediates issues without waiting for human intervention — 24 hours a day, 7 days a week.
2.4B+
events processed daily
Sub-second signal processing across your entire data and AI infrastructure with zero sampling.
40+
native connectors
Works with the modern data stack your teams already operate — Snowflake, Databricks, dbt, Spark and more.
94%
auto-resolution rate
Every signal becomes an action — not just an alert. SENTINEL closes the loop automatically.
Signals travel from your infrastructure through NEXUS, get analyzed by SENTINEL, and surface as actionable insights in ORBIT — automatically, in real time.
2.4B+
Events/day
ingested by NEXUS
< 2s
Detection
anomaly latency
ZEVORIX ORBIT
Interface Layer
Dashboards
Real-time
Incidents
2 active
Teams
12 users
ZEVORIX SENTINEL
Intelligence Layer
Analyzing
3 signals
Remediated
47 today
MTTR
28s avg
ZEVORIX NEXUS
Foundation Layer
Sources
142 pipelines
Models
18 ML
Events/s
27.8k
< 30s
Remediation
average MTTR
94%
Auto-resolved
without human action
2.4B+
ingested by NEXUS
< 2s
anomaly latency
< 30s
average MTTR
94%
without human action
ZEVORIX Platform is composed of four integrated layers — each purpose-built for a distinct tier of the enterprise data and AI stack, working together to execute, protect, certify and show your critical data.
Operational Intelligence Workspace
The command center where data and AI operations become fully transparent. ORBIT unifies reliability signals from your entire data ecosystem into a single operational workspace — giving engineering and operations teams the situational awareness to act before incidents become outages.
Autonomous Reliability Engine
The autonomous intelligence layer that never sleeps. SENTINEL continuously analyzes data pipelines and machine learning systems, correlates anomaly signals, determines root causes and recommends or autonomously executes remediation actions — dramatically reducing mean time to resolution.
Data Reliability Platform Core
The engine room of the ZEVORIX Platform. NEXUS provides deep, continuous observability across data quality, pipeline health, ML model behavior and data lineage — generating the reliability signals that power both ORBIT and SENTINEL.
Data Product Certification
The layer that turns reliability into a signed asset. ASSAY packages certified data products, assigns an auditable Trust Score (A–F) and a named owner, and maintains the chain of custody a CFO can put their name on.
NEXUS monitors the platforms and tools your teams already operate — from cloud data warehouses and ML runtimes to orchestrators and data transformation frameworks.
+ Airflow, Kafka, dbt Cloud, Fivetran, Great Expectations and more
The three layers operate as a closed-loop system. NEXUS observes, SENTINEL reasons, ORBIT informs. Every incident makes the platform smarter.
NEXUS continuously monitors data quality, pipeline health, ML model behavior and lineage across your entire infrastructure.
SENTINEL processes reliability signals in real time, detecting anomalies and correlating events across systems and time windows.
Root cause analysis engine traverses the reliability graph to identify the origin of each issue — not just the symptom.
SENTINEL executes or recommends remediation. ORBIT surfaces the full incident context so teams can act with confidence.
| Atlan / Collibra | Monte Carlo | Build in-house | ZEVORIX | |
|---|---|---|---|---|
| Data catalog | manual | |||
| Auditable Trust Score | ||||
| Autonomous action | alerts | |||
| C-suite UX | engineer | engineer | n/a | |
| Time to value | 6–12 mo | 3–6 mo | 12–18 mo | 2 weeks |
| Proof of concept | ~$50K | ~$50K | $300K eq. | $0 |
Revenue and billing certified for the monthly board pack.
Claims data and loss-ratio reporting with a signed chain of custody.
MRR / NRR auditable for investors, Customer 360 with full lineage.
0%
Platform Reliability Score
Grade A
0 min
Mean time to resolution
down from 2 days
0%
Incidents resolved autonomously
by SENTINEL
A 2-week proof of concept, on your data. See a real Trust Score on a stream that matters before you commit to anything.
