Sherlock Calls vs Galileo
Galileo is purpose-built for teams improving LLM quality across the entire development lifecycle — from offline evals to real-time production guardrails. Sherlock Calls is built for the teams operating voice AI in production: not improving it, investigating it.
TL;DR — The short answer
- 1
Galileo is a technically sophisticated LLM evaluation platform with purpose-built evaluation models — an excellent choice for teams who need to systematically improve AI quality.
- 2
Sherlock Calls is built for a different question: not 'is my AI performing well?' but 'what happened on this call, and why?' — answered in plain English from Slack.
- 3
Both serve the AI operations lifecycle; Galileo covers the quality engineering layer, Sherlock covers the operational investigation layer.
Understanding both tools
Sherlock Calls
AI-powered voice call investigation
Sherlock Calls is a Slack-native AI investigator purpose-built for voice operations teams. Connect your existing providers — Twilio, ElevenLabs, Vapi, Genesys, and 12 more — and ask questions about your calls in plain English. Sherlock autonomously gathers data across all connected services, correlates events, and delivers a sourced answer in under 5 seconds. No new dashboards. No SDK. No code changes.
- Works inside Slack — no new UI to learn
- Connects to 15+ voice providers in minutes
- Investigates calls autonomously with AI
- Free tier — 100 credits per workspace
Galileo
AI observability and eval engineering — from offline evals to production guardrails
Galileo is an AI observability and evaluation platform that helps engineering teams evaluate LLMs, monitor production AI, and enforce real-time guardrails using purpose-built evaluation models.
- Three-module platform: Evaluate (offline LLM testing), Observe (production tracing), and Protect (real-time guardrails against hallucinations and policy violations)
- Luna-2 evaluation models run 20+ metrics at sub-200ms latency for ~$0.02/million tokens — making real-time quality guardrails economically viable at scale
- 20+ out-of-box evals for RAG, agents, safety, and security — including chunk-level metrics (Context Adherence, Chunk Utilization) with no additional setup
- Slack and email alerts based on both system-level metrics (latency, cost, tokens) and evaluation metrics (correctness, hallucination rates)
Feature comparison — LLM Eval & Benchmarking
Sherlock Calls vs Galileo & peers
All tools in the LLM Eval & Benchmarking category — so you can compare both head-to-head and within the landscape.
| Feature | SherlockCalls | Galileothis page | Braintrust | Maxim |
|---|---|---|---|---|
| AI call investigation | ||||
| AI agent & LLM tracing | ||||
| AI governance & compliance | ||||
| Offline LLM evaluation | ||||
| Provider integrations | 15+ (all voice) | ~10 (0 voice) | ~15 (0 voice) | ~8 (0 voice) |
| Cross-provider correlation | ||||
| Natural language queries | ||||
| Zero-code setup | ||||
| Per-call cost tracking | ||||
| Free tier available |
Scroll horizontally to compare all tools →
Key differences
Why teams switch from Galileo to Sherlock
Production Voice Investigation vs LLM Quality Management
Sherlock Calls
When a call fails at midnight, Sherlock can tell you exactly what happened — transcript, error, cost, and correlated data — in Slack, in seconds, with no engineering involvement.
Galileo
Galileo is designed for improving LLM quality over time: hallucination detection, context adherence scoring, and RAG pipeline optimization. It is not designed for investigating specific real-time voice call events.
Native Telephony Integrations vs LLM Framework Coverage
Sherlock Calls
Sherlock connects to Twilio, ElevenLabs, Vapi, Retell, Genesys, Amazon Connect, HubSpot, and Datadog natively — your entire voice stack, covered out of the box, with no code changes.
Galileo
Galileo's strength is framework-agnostic LLM evaluation. Integrating voice provider data — telephony events, call metadata, provider-specific billing — would require custom instrumentation beyond Galileo's native design.
Free to Start vs Enterprise Onboarding
Sherlock Calls
Start investigating production calls today with 100 free credits — no demo call, no implementation project, no waiting. Operational teams are live in under 2 minutes.
Galileo
Galileo's most powerful production features are behind enterprise pricing. For ops teams that need answers now rather than a structured evaluation program, the onboarding path is longer.
Which tool is right for you?
When to choose Sherlock vs Galileo
Choose Sherlock Calls if…
- Your team needs to investigate specific voice call failures in production, not evaluate model quality over time
- You want cross-provider call correlation without writing evaluation pipelines
- Your operations team needs answers in Slack without a separate tool or engineering support
- You need per-call cost tracking and transcript analysis across multiple voice providers
Consider Galileo if…
- Your team needs systematic LLM quality improvement with hallucination detection, RAG metrics, and real-time guardrails
- You're building AI products and need offline evaluation pipelines before production deployment
Pricing
Cost comparison
Sherlock Calls
Free to start
100 credits per Slack workspace. Team plans from $50/month. No credit card required to start.
- Free tier — 100 credits/workspace
- Team: $50–$5,000/month (usage-based)
- Enterprise: custom pricing
- No sales call required to start
- Cancel anytime
Galileo
Free tier / Enterprise
Galileo offers a free tier for developers. Production and enterprise features — including real-time guardrails and advanced evaluation — require a custom enterprise plan.
* Pricing sourced from public information. Contact Galileo for current rates.
FAQ
Frequently asked questions
What is Galileo AI used for?
Galileo is an LLM observability and evaluation platform that helps AI engineering teams detect hallucinations, monitor production LLM quality, and enforce real-time guardrails. It is purpose-built for improving the quality of AI outputs over time, not for investigating specific voice call events.
Can Galileo investigate voice calls from Twilio or ElevenLabs?
Galileo does not have native integrations with Twilio, ElevenLabs, or other voice telephony providers. Sherlock Calls connects to 15+ voice platforms natively with no code changes required.
Is Sherlock Calls a Galileo alternative?
They solve different problems at different layers. Galileo is right for teams who need LLM quality engineering — evals, hallucination detection, and production guardrails. Sherlock is right for voice operations teams who need to investigate real calls and get instant, sourced answers from their provider stack.
How do I migrate from Galileo to Sherlock Calls?
Sherlock and Galileo serve different teams and don't compete for the same workflows. Sherlock connects to Slack and your voice providers in under 2 minutes. Your Galileo evaluation pipelines continue unchanged for your engineering team.
Does Sherlock Calls replace Galileo?
Only if voice call investigation is your primary need and LLM quality management is not. Galileo is excellent at systematic AI quality improvement. Sherlock is excellent at real-time voice call investigation. Teams building voice AI products often benefit from both.
Ready to investigate your calls the smarter way?
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