analytics without theater ship decisions in minutes

Turn noisy data
into clear signals.

SignalForge connects your sources, normalizes events, and filters false alarms so your team focuses on what actually needs action. Not dashboards. Not “insights.” Decisions.

Estimate impact Watch how it works

Typical teams cut alert noise by 60–90% after stabilization. No magic. Just better filters.

Unified Ingest sources → model

Pull from APIs, logs, queues, and streams into one consistent event schema.

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Adaptive Filters noise ↓

Rules evolve as patterns stabilize, so alert volume drops over time instead of spiking forever.

THRESHOLDSWINDOWSSUPPRESSION

Action Routing alert → owner

Route validated signals to the right team with context, runbooks, and audit trails attached.

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Integrations that don’t need a rewrite

Slack

PagerDuty

GitHub

Datadog

Postgres

Impact estimator

Enter realistic inputs. SignalForge’s job is reducing false alerts and the time they waste. This estimates operational lift, not fantasy revenue.

Monthly events

200k

False alerts (%)

60%

Minutes lost per false alert

Loaded hourly cost (USD)

$120

Projected outcome

False alerts / mo—

Alerts removed—

Hours saved / mo—

Est. value / mo—

Assumes SignalForge removes 75% of false alerts after stabilization. Adjust inputs above.

Security that’s boring on purpose

Encryption at rest and in transit (standard, not a marketing trick).

Role-based access with audit logs for every rule and routing change.

Workspace isolation and environment-scoped API keys.

Exportable logs for compliance reviews and incident retros.

Want a demo with your data? We’ll run a small ingest, show the suppression curve, and export an audit trail.

Start demo (placeholder)