Any platform.
Any direction.

One unified AI engine migrates your dashboards, alerts, queries, parsers, data schemas, and configurations from any SIEM, observability, or APM platform to any other — over 95% autonomously, with reduced risk and a fraction of the manual effort.

See how it works
Neuwave Migration Engine — Live Translation
Splunk Datadog SPL → DQL
Source QueryORIGINAL
index=web status>=500 | stats count by host
Translated QueryTRANSLATING…
DASHBOARD 1 OF 3,000+ FIDELITY CHECK: …
~0%
Faster Time-to-Value
vs manual migration approach
0+
Dashboards & Alerts AI-Migrated
Across enterprise engagements
0+
Reduction in Downtime
Via AI-orchestrated cutover with rollback
~0%
Encryption in Transit & Rest
Zero compliance breaches
Migrations

Migrate Platforms Faster
with AI Automation.

The Problem We Solve

Why migrations fail today —
and why yours won't

6–12 months per migration

Every dashboard, alert, and query manually re-created for the target platform — consuming months of scarce engineering time.

High fidelity loss (20–40%)

Broken dashboards, missed alerts, and corrupted detection logic from manual re-creation of complex content.

Unpredictable cost overruns

Time-and-materials billing with rework loops and scope creep — budgets balloon and timelines slip.

Dual-platform costs during transit

Running two platforms simultaneously drains budget for the entire duration of the migration.

Weeks, not months or years

AI autonomously translates content across platforms at scale — over 95% handled without human involvement.

High-fidelity output, verified

The engine vets and self-corrects until every asset passes validation, with fidelity checks comparing source and target.

Outcome-based pricing

Billed on successful migration of content items — transparent unit economics, no hidden overruns, ROI from day one.

Single unified engine

No prolonged dual-running: AI-orchestrated cutover with a configurable window and instant rollback capability.

How It Works

Four phases.
One multi-agent AI workflow.

Discovers → Translates → Validates → Cutover. Click a phase for the details.

Phase 01 — Discovery & Assessment

  • Crawls the source platform automatically
  • Inventories all dashboards, alerts, queries, parsers & data schemas
  • Maps dependencies & identifies migration risk
  • Generates a detailed migration plan with effort estimate
What Gets Migrated

Everything you've built.
Logic intact.

Dashboards

Multi-panel visualizations, panel layouts, variable templates, time filters, and drill-down links — fully AI-translated to the target format.

Alerts & Detections

Alert conditions, thresholds, notification channels, escalation policies, and SIEM detection rules migrated with logic intact.

Queries & Searches

SPL, NRQL, PromQL, KQL, DQL, and custom query languages intelligently converted and validated against the target data schema.

Parsers & Extractors

Log parsers, field extractors, calculated fields, and data transformation logic re-implemented in the target platform's language.

Data Schema Mappings

Source-to-target field mappings normalized against standard schemas (UDM, OCSF, ECS, CIM), ensuring data continuity post-migration.

Saved Configs

Saved searches, report schedules, lookup tables, macro definitions, indexes, data models, and platform-specific configurations.

Why Neuwave Migration

Built like a product,
not a services engagement

True Any-to-Any Engine

A single AI-powered platform handles every source–target combination — security, observability, or mixed. One product. Every migration.

ONE ENGINE · ALL PLATFORMS · ALL DIRECTIONS

AI Self-Correction Loop

The engine audits its own output against SME-curated platform rules, runs fidelity checks, and self-corrects until it passes the quality threshold.

GENERATE → VET → CORRECT → VALIDATE → SHIP

SME Experience as AI Context

Years of migration experience from 100+ real projects power the AI — platform-specific best practices, edge-case handling, and field-mapping patterns.

REAL-WORLD SME KNOWLEDGE · NOT GENERIC AI

Mock Server for Safe Testing

Validate migrated content against simulated source and target APIs before touching production — no risk of data exposure.

ZERO PRODUCTION ACCESS DURING TESTING

Outcome-Based, Transparent Pricing

Billed on successful migration of content items — not time-and-materials. Clear unit economics, no scope creep, no billing surprises.

SUCCESS-BASED · NO HIDDEN OVERRUNS

Human-in-Loop for Edge Cases Only

Analysts review only the <5% of content flagged as complex or ambiguous. The remaining 95%+ is handled autonomously.

>95% AUTONOMOUS · <5% ESCALATED
Supported Platforms

If it has an API,
we can migrate it

Any source to any target. Current live migration routes:

Live routes — Splunk Datadog Splunk Dynatrace Splunk MS Sentinel Splunk Elastic Splunk CloudWatch New Relic Datadog Elastic Splunk Sentinel Any
Source Platforms
10 sources
Splunk Enterprise / Cloud Microsoft Sentinel IBM QRadar New Relic Elasticsearch / OpenSearch Datadog (legacy configs) Google Chronicle / SecOps Sumo Logic LogRhythm Any other — custom connector
Target Platforms
10 targets
Datadog Dynatrace Microsoft Sentinel Splunk Cloud Elastic / OpenSearch Google SecOps / Chronicle AWS CloudWatch / Security Hub CrowdStrike Falcon LogScale Sumo Logic New Relic
Custom Connector
Any API
Your platform

Platform not listed? Our custom connector framework extends support to any platform with an API or data export capability.

Ready to migrate?

Book a migration assessment — our AI engine will inventory your source platform and deliver a detailed migration plan within 24 hours.