What is the best Galileo alternative?

TestMu AI is the best Galileo alternative for teams that need to prove an agent works before it reaches production rather than watch it once it is there. Its agent testing platform generates 60 to 100+ scenarios from an uploaded document, drives chat, voice, and real phone conversations as a simulated user, scores 9 conversation metrics plus 30+ call metrics, and ends every run in a Green, Yellow, or Red go-live verdict.

Is Galileo still available after the Cisco acquisition?

Cisco announced its intent to acquire Galileo on 9 April 2026 and closed on 22 May 2026. On 7 August 2026 Galileo's release notes stated that Galileo is now Splunk Agent Observability, with documentation moved to a Splunk domain and the existing docs site scoped to customers who onboarded before that date. The self-serve Free and Pro tiers were still live at the time of writing, but the Splunk-branded successor does not publish an equivalent trace-metered price list, so packaging is in active transition. That is a fair reason to re-evaluate, not a reason to panic.

How is TestMu AI different from Galileo?

Galileo is an observability and runtime-guardrail platform: you instrument your application, it traces what happens, scores it against 35 out-of-the-box metrics, and Agent Control can block harmful output live. TestMu AI works one step earlier. It supplies the traffic itself, calling AI phone-calling agents and talking to voice agents and chatbots as a simulated caller, so failures surface in a test run rather than in front of a customer with a guardrail catching them.

Doesn't Galileo already evaluate voice agents?

Partially, and it deserves credit. Galileo added multimodal observability in April 2026, so audio files are first-class in tracing, and Interruption Detection is a session-level metric that flags turn-taking violations. What it does not do is create the audio. There is no dialer, no telephony integration, and no call metric suite, so first call resolution, containment, CSAT, and audio quality scoring are absent. TestMu AI places the call, records each channel separately, and scores the audio with a DNSMOS P.835 quality score.

Do I still need runtime guardrails with TestMu AI?

Quite possibly, and we would not pretend otherwise. Runtime enforcement and pre-launch testing are different controls. Agent Control blocking a PII leak in production is genuinely valuable and TestMu AI does not replace it. What we would question is relying on a guardrail as the primary quality strategy: a blocked response is still a failed interaction. Testing across personas, accents, and adversarial inputs before release reduces how often the net has to catch anything.

How does TestMu AI pricing compare to Galileo?

Galileo published a Free tier at $0 with 5,000 traces per month and unlimited users, Pro at $100/mo for 50,000 traces, and Enterprise on request, verified on 27 August 2026. Its Splunk-branded successor does not publish an equivalent per-trace list, so expect repackaging under Splunk Observability Cloud licensing. TestMu AI Agent Testing starts free on pay-as-you-go, then scales through Starter, Growth, and Scale monthly tiers with custom Enterprise pricing.

Can I test web and mobile from the same account?

Yes, and this is the practical difference for a team consolidating tools. Beyond agent testing, the same TestMu AI account covers web and mobile app testing across 10,000+ real devices, plus API and accessibility testing, with test orchestration on HyperExecute. An observability tool folded into a wider monitoring suite solves the production half. This covers the quality half across every surface your product ships on.

Where does Galileo still win?

In production, clearly. Its tracing hierarchy of sessions, traces, and spans with separate Log Streams for dev and production is deeper than ours, and the Insights Engine analyses logged traces for root cause with no setup. Agent Control turns evaluation into live enforcement, blocking PII, prompt injection, and toxic output before it reaches a user. Its Luna-2 small language models make continuous scoring economical at production volume. And Enterprise customers can deploy into their own VPC or fully on-premise, which we do not offer. If your gap is runtime observability and enforcement, Galileo is the better fit.

What other AI evaluation tools should I compare?

With Galileo moving under Splunk, this is a sensible moment to see the whole field. We keep a like-for-like write-up of Langfuse, LangSmith, Braintrust, and Maxim AI, each scored on the same dimensions and dated, so you can see where every tool genuinely leads rather than a single vendor scorecard. If your agent answers a phone line, start with voice agent testing.

The Best Galileo Alternative for Agent Testing

Cisco acquired Galileo in May 2026 and its documentation moved under Splunk in August. If you are reassessing, TestMu AI covers the half a monitoring suite does not: proving the agent works across chat, voice, and real phone calls before you launch it.

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Prove It Before You Ship It

Scored against Galileo's public docs and pricing on 27 August 2026. TestMu AI adds caller simulation, real telephony, and a go-live verdict.

Top Choice

Features

Galileo

Primary job

Prove the agent is safe to ship

Observe and guard the agent in production

Product status

Independent quality engineering platform

Acquired by Cisco; docs moved to Splunk in Aug 2026

How tests reach the agent

The platform calls and chats as a real user

Your instrumented code emits traces to score

Instrumentation required

None, connect via a guided endpoint form

Python, TypeScript, REST or OpenTelemetry

Agent surfaces covered

Chat, voice, phone inbound & outbound, image

Text and tool-using chat; multimodal logging

Scenario generation

60 to 100+ auto-generated from PRDs, docs, Jira

Synthetic dataset rows from example inputs

Prebuilt metric library

9 packaged agent metrics scored on every run

35 out-of-the-box metrics across 7 categories

Voice evaluation

Live voice runs scored on audio and conversation

Interruption Detection on logged audio

Phone call metrics

30+ incl. FCR, containment, CSAT, DNSMOS MOS

Not offered

Real phone call testing

US & EU origination, inbound & outbound

Voice & noise simulation

200+ voices, 50+ accents, 15 noise presets

Persona simulation

10 pre-built plus custom personas

Not offered as a simulated-user engine

Adversarial & red-team testing

Generates attacks, 9 categories, 3 intensity levels

Detects injection, PII, toxicity; no campaigns

Runtime guardrails

Pre-launch gate, not a runtime blocker

Agent Control blocks output live, a core strength

Go-live readiness verdict

Green / Yellow / Red with confidence scoring

Not offered as a consolidated verdict

Production monitoring

Recording batch analysis and dashboards

Log Streams, alerts and Insights Engine

Continuous scoring cost

Credit-metered per evaluation cycle

Luna-2 small models score cheaply at scale

Human annotation & SME review

Five annotation formats, no code required

Prompt management

Scenario and prompt versioning

Central prompt templates in Console and SDK

Self-hosting

Managed cloud, no self-host option

SaaS, customer VPC or on-prem on Enterprise

Compliance certifications

SOC 2 Type II, HIPAA, GDPR

SOC 2 Type II published

Entry pricing

Free pay-as-you-go, then monthly tiers

Free, 5,000 traces per month, unlimited users

Web, mobile & API testing on the same account

Why Teams Move Testing Ahead of Production

A guardrail that blocks a bad answer still means a customer got a bad experience. Catch it in a test run instead.

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PRE-LAUNCH PROOF

Find It Before Customers Do

Monitoring tells you an agent failed a real user. TestMu AI finds the failure in a test run first.

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60 to 100+ scenarios from one document
10 pre-built plus custom caller personas
Red-team testing, 9 categories, 3 intensities

REAL CALL TESTING

Test the Phone Line Itself

Logging audio needs a call to exist. TestMu AI places it, records both channels, and scores the audio.

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Real US and EU origination, in and outbound
DNSMOS audio quality with signal sub-scores
FCR, containment and CSAT outcome scoring

ONE QUALITY STACK

Agents, Web and Mobile

Rather than an eval tool absorbed into a monitoring suite, keep every surface on one quality platform.

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10,000+ real devices for web and mobile
Security, privacy and compliance agents
Green, Yellow, Red go-live verdict per run

Pricing, Side by Side

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Galileo's published pricing, verified on 27 August 2026. Its Splunk-branded successor does not publish an equivalent per-trace list.

TestMu AI Agent Testing

Galileo

Free tier

Free pay-as-you-go to start

Free, 5,000 traces, unlimited users

Entry paid tier

Starter monthly tier

Pro $100/mo, 50,000 traces

Mid tier

Growth monthly tier

Pro is the only published paid tier

Top published tier

Scale tier, then custom Enterprise

Enterprise, contact sales

What one unit buys

An evaluation cycle on a scenario turn

An ingested trace

Data retention

Configurable on Enterprise

Not published for Free or Pro

Self-hosting

Not offered

VPC or on-premise on Enterprise

Pricing stability

Published and current

In transition to Splunk licensing

Planning

Test Manager

Intelligent AI for test management

1-Click Migration from Other Platforms

Link Jira Issues with Test Manager

Authoring

Kane AI

GenAI-Native Test Agent for Test Planning & authoring

Kane CLI

Browser automation validation for developers, QA & AI coding Agents

MCP Server

Connect AI to test data, no manual transfers

Agent Testing

A multi-agentic platform to test AI agents

Execute

HyperExecute

Blazing fast AI-Native automation testing cloud

Cross Browser Testing

Accessibility Testing

Analysis

AI-Native test intelligence insights

AI-powered error classification

Smart auto-healing

Smart flakiness detection

120+ Integrations

and more

Flexible Deployment Models on:

Shared CloudPrivate CloudOn-Premise

Built for Every Layer of Agent Testing

Project & Environment Management

Create agents, manage test environments, and scope variables, with bulk creation when you migrate a large evaluation suite.

Test Profiles & Personas

Drive conversations with reusable test data and a persona library, so you can simulate real callers, accents, and edge cases at scale.

Validation Criteria

Define custom, evidence-based pass and fail rules per scenario, with High, Medium, and Low confidence tracking on every result.

Security & Infrastructure

Run on HyperExecute with optional secure tunnels for firewall-restricted agents, telephony, and contact-center stacks.

Scheduling Engine

Automate evaluation runs with preset frequencies or full custom cron expressions and IANA timezone support.

Observability & Reporting

Monitor every run with unified dashboards, exportable reports, and real-time pass and fail trends.

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Seamless Collaboration
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120+ more

Success Stories of TestMu AI (Formerly LambdaTest)

50%

reduction in test execution time

“HyperExecute is a highly reliable test execution platform and has excellent customer support.”

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TestMu AI Named a Challenger in the 2025 Gartner® Magic Quadrant™

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TestMu AI recognized in The Forrester Wave™: Autonomous Testing Platforms, Q4 2025

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Wall of Fame

TestMu AI is #1 choice for SMBs and Enterprises across the globe.

Enterprise-Grade Security

We safeguard your data and AI systems with global security, privacy, responsible AI, and ESG standards.

Security compliance certification badges

Integrations

Works where you work, 120+ integrations with the tools your team relies on.

Users

3M+

Tests

1.5B+

Enterprises

18K+

Countries

132

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