Product roadmap
Connectivity today. Intelligence tomorrow.
Four phases. One asset model. Starlink ships now in Datadog.Four phases. One normalized asset model. SignalWeave is investing in the layer between raw telemetry and operational intelligence.
Less noise. More signal.
Starlink ships natively to Datadog.Exclusive native integration. Starlink observability ships natively to Datadog.
Starlink Foundation
Enterprise Starlink observability, native to Datadog.
Fleet visibility without building a platform.
Foundation · available now + Q4 2026 roadmap
Raw data analyzed and normalized into operational signal, not noise.
Data sources
Example
200+ fields analyzed · 67 shipped
SignalWeave evaluated the full Starlink device payload and curated 67 operational metrics: latency, outages, obstruction, and hardware health. Not a blind forward of raw telemetry.
Example
Bandwidth-efficient collection
~1.1 KB per terminal every 15 seconds on STLK-01. Maritime and aviation links stay usable while fleet-wide observability runs continuously in Datadog.
Asset impact
Fleet operators get consistent, curated signal across every asset. No custom Starlink parsing project, no metric sprawl in the NOC.
Starlink terminal impact
Each terminal delivers normalized performance, outage, and hardware metrics with unified naming and tags, ready for Datadog monitors and SLOs on day one.
Asset Operations & Enrichment
Every signal carries business context.
Assets, not dishes.
Capabilities · in development
Criticality, fleet, and owner travel with every metric batch.
Data sources
Example
Gold-tier SLA · maritime ops owner
Example Cruise Ship metrics arrive tagged criticality:high, fleet:maritime-fleet, owner:maritime-ops, sla:gold. Escalation routes correctly before an engineer reads the alert.
Example
Business unit segmentation
Hospital campus and offshore platform assets carry business_unit tags at ingest. Dashboards and monitors filter by org structure, not generic infra tiers.
Asset impact
Business context is part of the asset record. Criticality, owner, fleet, and SLA travel with data so incidents inherit the right urgency automatically.
Starlink terminal impact
Starlink terminal metrics batch with enrichment tags at collection. STLK-01 outages page the asset owner, not an anonymous connectivity device.
Context Expansion
External context, one asset model.
What else was happening, on the same timeline.
Context domains · scroll to explore
Environmental stress on the asset timeline, when conditions matter.
Data sources
Example
Cruise ship · Caribbean approach
Tropical storm advisory 180 nm east. Seas 4.2 m, sustained winds 38 kt at asset position. Weather event lands on the asset timeline as Starlink latency on STLK-02 begins climbing.
Example
Offshore platform · North Sea
Gale warning issued 6 hours before link degradation. NOC sees environmental stress and RF metrics together, not a mystery outage in Datadog.
Asset impact
Operations teams adjust crew movement, guest services, and SLA expectations before connectivity becomes user-visible. Storm context is attached to the vessel record.
Starlink terminal impact
Obstruction, signal quality, and latency metrics on the terminal correlate with wind, seas, and precipitation at the dish location. Evidence-ranked, not assumed cause.
AI Asset Intelligence
AI that correlates, explains, and acts on your fleet.
Weaver AI: evidence-ranked intelligence on every asset.
AI capabilities · Weaver AI
AI analyzes every domain. One evidence-ranked narrative.
Data sources
Example
AI analyzes 6 domains in seconds
Weaver AI ingests STLK-02 telemetry, AIS density, space weather, orbital cell context, NOAA conditions, and Planet EO, then ranks beam congestion as the leading hypothesis at 78% confidence.
Example
Primary · contributing · ruled-out
AI classifies each factor with role and confidence: orbital cell load (primary), post-flare RF (contributing), storm system (ruled-out). NOC gets structure, not a black-box answer.
Asset impact
Asset timeline receives AI-ranked incident analysis in minutes. Executives and NOC see a confidence-scored narrative attached to the vessel or site record.
Starlink terminal impact
Starlink terminal anomalies trigger Weaver AI analysis automatically. STLK latency, SNR, and outage events are correlated against all context domains on the terminal timeline.
How SignalWeave works
Connect → Normalize → Enrich → Correlate → Deliver
SignalWeave builds Starlink and SignalWeave observability exclusively for Datadog: Agent checks, OOTB dashboards, monitors, service checks, and fleet workflows. Other destinations are exports, not equivalent native experiences.
Connect
Starlink, weather, space, EO, maritime, customer APIs
Normalize
Fragmented schemas → one asset-aware operational model
Enrich
Tags, classification, relationships attach to every signal
Correlate
Unified asset timeline with evidence before claims
Deliver
Datadog exclusive native · export everywhere else
Exclusive native integration
SignalWeave builds Starlink and SignalWeave observability exclusively for Datadog: Agent checks, OOTB dashboards, monitors, service checks, and fleet workflows. Other destinations are exports, not equivalent native experiences.
Technology PartnerAlso export enriched intelligence to
How it works
Phase 01 is available now. The rest is underway, and worth a conversation.