Zyntra — decision intelligence for operations

One ranked answer.Gaps sorted worst first by criticality, and every candidate action ranked on its pessimistic case, with the reason.

See it before it runs.A what-if through your KPI graph shows the predicted change to every KPI, with a range and the full path behind each number.

A person decides.Roles, quorum and change windows. The prediction is re-checked right before anything runs, and dry-run is the default.

Proof you can hand over.Every decision is a signed, hash-chained record that verifies offline, with predicted against actual per KPI.

Runs on the data you already have: CSV exports, Prometheus, SQL, REST APIs, Kubernetes and webhooks.

Everything between a missed target and a verified fix. In one console.

Plan page with every action ranked and the reason

Start from a ranked plan

Gaps weighted by criticality; single actions and pairs ranked by what they close, minus risk and stale inputs. A plan that only wins if every edge holds is flagged and ranked lower.

Simulate page with before, after, range and target per KPI

See it before it runs

Simulate one action or several through the dependency graph: before, after, range and target for each KPI, with the arithmetic behind every number.

Objects page showing a failing service and the orders that depend on it

The business behind the number

A business ontology links orders, services and machines to the KPIs that measure them, with the source and time behind every fact, and permission-aware reads.

Scenarios page comparing three plans side by side

Compare plans side by side

Save a what-if with its assumptions, re-run it against current data and compare it with the alternatives. Running a scenario never changes anything.

Signals page listing live sources with trend and target status

Live, read-only signals

A dead source shows up as stale or down instead of quietly wrong. KPI watches open an incident only when a breach is sustained, with measured recovery.

Approvals page showing the prediction and the exact change

Nothing runs until a person says so

The approval lane shows the baseline against the prediction and the exact change that will run, with roles, quorum and change windows.

Every change approved, re-checked and proven

A person always stands between a recommendation and a change.

SenseRead-only sources refresh the KPI graph
Find the gapKPIs off target, weighted by criticality
SimulateActions propagate through declared edges, with ranges
RankScored on the pessimistic case; breaches blocked
ApproveA named person or quorum, inside the change window
RevalidateRe-simulated on fresh data right before running
ActKubernetes, webhook or file, dry-run by default
VerifyPredicted against actual; rollback proposal on regression

From a red dashboard to a decision you can defend

End the war roomWhen several KPIs go red at once, everyone starts from the same ranked plan and the reasoning behind it.

Run GPU capacityWeigh Gryvia priority, GPU sharing and job suspend against queue and latency, with Netra network signals in the graph.

Start from a CSVPoint a retail, manufacturing, logistics, payments or imaging operations pack at an export and get a ranked plan.

Investigate a KPI changeFind sustained shifts and changes that moved before them, with downloadable evidence. Leads, not root causes.

Answer from your runbooksAsk questions over your SOPs and policies and get cited excerpts, filtered by who is allowed to read them.

Let scripts propose, not approveService tokens let agents and scripts propose a change. A named person still approves every one.

Your dashboards show the problem. Zyntra decides the fix.

	Typical dashboard and alerting tool	Zyntra
The question it answers	What the metrics look like now and over time	Which action closes the gap, and what it does to every other KPI
The model	Panels and queries	A KPI graph with targets, owners and declared cause-and-effect edges
What-if	Not part of a dashboard	Candidate actions simulated with ranges, then ranked
Taking action	Outside the tool, in runbooks and other systems	An approval lane with roles, quorum and change windows, dry-run by default
After the change	Someone watches the panels	Predicted against actual per KPI, and a rollback proposal on regression
Evidence	Dashboards and annotations	A hash-chained audit trail and signed decision records

Dashboards are the right tool for visualising and alerting across many sources. Zyntra reads the same sources and turns what they show into a ranked, approved, verified decision.

One console for operators, owners and approvers

Real pages from the lab model and the manufacturing pack. No mock-ups. See the full tour →

Workflows — orders exposed to a failing KPI

Model — targets, owners and declared edges

Overview — what is off target and what to do first

A ranked plan in minutes

Build one Go binary and get a ranked plan from the shop pack's CSV fixtures. No cluster needed. Then point a pack at your own exports, Prometheus, SQL, REST, Kubernetes or webhooks.

Read the quickstart →

git clone https://github.com/zyvorai/zyvor-zyntra.git && cd zyntra
make build
./bin/zyntra plan -f packs/shop      # ranked plan from CSV fixtures
ZYNTRA_API_KEY=dev ./bin/zyntra serve -f packs/shop   # console on :8080

# or the signed container
docker run --rm -p 8080:8080 -e ZYNTRA_API_KEY=dev ghcr.io/zyvorai/zyntra:edge

Built to be trusted, and honest about its limits

No model decides: the AI layer explains and forecasts, and never picks, ranks or runs an action. Sources only read. The simulator is a deterministic model over the weights you declare, not a measurement; zyntra calibrate backtests it against real outcomes and only suggests corrections.

Read the security model →

Know the next best action before the next war room

Free for evaluation, development, labs and other non-production use under the Zyvor Production License. Production needs a commercial license, sized by managed clusters and KPI graphs, with unlimited users and approvers.

Book a demo Start a 30-day PoC Star on GitHub