Sherlock Calls vs Maxim
Maxim is where AI engineering teams test, evaluate, and ship AI agents with confidence — an end-to-end platform covering every layer of the development lifecycle. Sherlock Calls is where voice operations teams investigate what already happened on a real call — no pipelines, no seat licenses, just answers in Slack.
TL;DR — The short answer
- 1
Maxim is a well-designed, developer-friendly AI evaluation platform — strong for engineering teams who need to test agents at scale and monitor production quality systematically.
- 2
Sherlock Calls is built for voice operations teams: investigating real production calls, pulling transcripts, and correlating costs across 15+ providers from Slack without writing code.
- 3
Maxim is for building and improving AI; Sherlock is for investigating what AI already did on voice calls. Different phases, different teams, different tools.
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
Maxim
End-to-end AI evaluation and observability — ship AI agents reliably, 5× faster
Maxim is a comprehensive AI evaluation and observability platform that helps engineering teams test agents at scale, monitor production quality, and iterate on prompts and models systematically.
- Simulation and evaluation engine tests AI agents across thousands of scenarios with span-level, trace-level, and session-level granularity — pinpointing exact failure points in complex workflows
- Playground++ for systematic prompt engineering and team iteration with version management and side-by-side comparison
- Bifrost: high-performance LLM gateway supporting 12+ providers (OpenAI, Anthropic, AWS Bedrock, Google Vertex, Azure, Cohere, Groq) with a single OpenAI-compatible API
- Developer-friendly pricing from a free tier to $49/seat/month — plus enterprise plans with SOC 2 Type II, HIPAA, and GDPR compliance
Feature comparison — LLM Eval & Benchmarking
Sherlock Calls vs Maxim & peers
All tools in the LLM Eval & Benchmarking category — so you can compare both head-to-head and within the landscape.
| Feature | SherlockCalls | Maximthis page | Braintrust | Galileo |
|---|---|---|---|---|
| AI call investigation | ||||
| AI agent & LLM tracing | ||||
| AI governance & compliance | ||||
| Offline LLM evaluation | ||||
| Provider integrations | 15+ (all voice) | ~8 (0 voice) | ~15 (0 voice) | ~10 (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 Maxim to Sherlock
Production Investigation vs Pre-Production Testing
Sherlock Calls
Sherlock investigates production calls that already happened — actual transcripts, real costs, live failures. Ask a question in Slack and get a sourced, multi-provider answer in under 5 seconds.
Maxim
Maxim's core strength is pre-production: simulating thousands of agent scenarios, running eval pipelines, and benchmarking performance before release. It is optimized for the engineering phase, not for operational investigation of live call events.
Native Voice Telephony Stack vs LLM Provider Gateway
Sherlock Calls
Sherlock natively integrates with 15+ voice and business platforms — Twilio, ElevenLabs, Vapi, Retell, Genesys, Amazon Connect, HubSpot, Datadog — your full stack connected, no code required.
Maxim
Maxim integrates with LLM API providers via its Bifrost gateway and supports SDK-based agent tracing. Voice telephony platforms like Twilio, ElevenLabs, and Genesys are not natively supported.
Per-Workspace Pricing vs Per-Seat Licensing
Sherlock Calls
Sherlock's Team plan is $50/month per Slack workspace — your entire operations team can investigate calls without per-user charges. Start free with 100 credits, no credit card.
Maxim
Maxim charges $29–$49 per seat per month. For a voice operations team of 10 people, that is $290–$490/month — a meaningful cost difference for a tool solving a different problem.
Which tool is right for you?
When to choose Sherlock vs Maxim
Choose Sherlock Calls if…
- Your voice operations team needs to investigate production call failures without writing evaluation pipelines
- You need per-call cost tracking, transcript analysis, and cross-provider correlation in Slack
- You want to connect to Twilio, ElevenLabs, Vapi, or Genesys without SDK instrumentation
- Your team needs workspace-level pricing rather than per-seat licensing
Consider Maxim if…
- Your AI engineering team needs rigorous simulation, evaluation, and prompt engineering infrastructure across thousands of scenarios
- You need a unified LLM gateway (Bifrost) to manage costs and routing across multiple model providers
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
Maxim
Free / from $29/seat/month
Maxim offers a free Developer tier (up to 3 seats, 10k logs/month). Professional is $29/seat/month, Business is $49/seat/month. Enterprise plans include compliance features and custom limits.
* Pricing sourced from public information. Contact Maxim for current rates.
FAQ
Frequently asked questions
What is Maxim AI used for?
Maxim is an end-to-end AI evaluation and observability platform that helps engineering teams simulate agent behavior, run evals at scale, monitor production quality, and iterate on prompts systematically. It is optimized for the AI development lifecycle, not for investigating specific voice call events.
Can Maxim investigate voice calls from Twilio or ElevenLabs?
Maxim has no native integrations with Twilio, ElevenLabs, or other voice telephony providers. It integrates with LLM APIs via SDK. Sherlock Calls supports 15+ voice platforms natively with no code changes required.
Is Sherlock Calls better than Maxim for voice AI teams?
If your goal is investigating production voice calls — pulling transcripts, analyzing costs, debugging failures across providers — Sherlock Calls is purpose-built for that workflow. Maxim is better suited for AI engineering teams who need evaluation infrastructure for building and testing AI agents before and after release.
How do I migrate from Maxim to Sherlock Calls?
Sherlock and Maxim don't overlap in their primary use cases. Add Sherlock to your Slack workspace and connect your voice provider API keys in under 2 minutes. Your Maxim evaluation pipelines continue unchanged for your AI engineering team.
Does Sherlock Calls replace Maxim?
No. Maxim is excellent for AI engineering teams who need rigorous evaluation infrastructure. Sherlock Calls is excellent for voice operations teams who need to investigate production calls. If you build voice AI agents, both are worth having — Maxim for testing them, Sherlock for investigating them.
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