Modulis vs Sherlocks.ai: BYOC Managed Production Resolution — Full 2026 Comparison

A full-stack BYOC production resolution platform vs. a Slack-native AI SRE investigation layer.

Modulis vs Sherlocks.ai
Feature Modulis Sherlocks.ai
General
Unified Platform (All-in-One)
Supports DevOps + Product + Business Teams
Fully Managed Platform
Multiple Tools Required
Unlimited Team Members
Deployment & Architecture
BYOC (Customer's Own Cloud)
Cloud-like Experience
Vendor Lock-In
Observability (Logs, Metrics & Traces)
Log Management
Metrics Monitoring
Distributed Tracing / APM
Session Replay & Debugging
Session Replay
Frontend + Backend Correlation
End-to-End Debugging Workflow
Product & Web Analytics
Product Analytics
Web Analytics
Event Tracking
Dashboards & Visualization
Custom Dashboards
Pre-Built Dashboards
Cross-Team Dashboards
Real-Time Analytics
Data & Ownership
Customer Owns 100% of Data
Data Stored in Customer Infrastructure
Built-in Data Warehousing
AI & LLM Analytics
Native LLM Analytics
Prompt / Response Tracking
AI Agents
AI-Ready Architecture
Pricing & Cost Control
Tier-Based Pricing
No Usage Overage Fees
Transparent Billing
Compliance & Security
Minimal Compliance Overhead
Full Data Residency Control
Enterprise-Ready Architecture

Quick answer

Sherlocks.ai is a Slack- and Microsoft Teams-native AI SRE product: 16+ specialized AI agents investigate incidents, correlate telemetry and recent changes, and return an evidence-backed root cause analysis inside chat, using a read-only “Watson” agent that reads your infrastructure directly. It’s an investigation layer on top of your existing infrastructure and observability tools, not a telemetry platform in its own right. Modulis is the underlying platform: it collects and correlates logs, traces, metrics, errors, and session data itself, deployed inside your own cloud from day one, and adds AI-assisted root cause analysis and PR-ready fixes on top of that first-party data.

Who each is for

Sherlocks.ai fits teams that want a fast, chat-native way to get AI-driven incident investigation without replacing their existing observability stack — its free tier (30 investigations/month) makes it easy to try. Modulis fits teams that want to consolidate observability, session replay, product analytics, and AI-assisted resolution into one platform, with BYOC data ownership as the default rather than an enterprise-tier upgrade.

Architecture and data ownership

This is the clearest difference between the two. Modulis is BYOC at every tier, including Free — your telemetry and AI inference both stay inside your own cloud account from the start. Sherlocks.ai’s free and standard experience is SaaS; in-VPC LLM processing and air-gapped deployment are only available on its custom-priced Enterprise plan, alongside SSO/SAML, audit logs, and a dedicated field engineer for setup. If BYOC data residency needs to be the default rather than an Enterprise add-on, that’s a material difference.

AI capabilities

Both platforms lead with AI-driven root cause investigation. Sherlocks.ai’s 16+ agents correlate logs, metrics, and traces across your existing infrastructure and produce an evidence-backed RCA in Slack, with read-only access to reduce risk. Modulis’s AI-assisted resolution runs across its own correlated telemetry — including session replay and Git metadata — and can produce PR-ready code fixes, running on your own model key (BYOK) inside your cloud boundary.

Pricing approach

Sherlocks.ai’s Free plan is genuinely free (30 investigations/month, all agents included), with Enterprise moving to custom pricing for unlimited investigations and the compliance features above. Modulis publishes flat, tier-based subscription pricing from $0, with unlimited data ingestion on every paid tier — see the Pricing page for details.

When to choose Modulis

Choose Modulis if you want BYOC data residency by default (not an Enterprise-tier upgrade), plus the underlying observability, session replay, and product analytics platform itself — not just an investigation layer sitting on top of tools you’re already paying for separately.

When Sherlocks.ai may be a better fit

If you already have observability tooling in place and want a low-friction, chat-native AI SRE layer to speed up investigation — and a SaaS deployment model is acceptable for your compliance requirements — Sherlocks.ai’s free tier is a fast way to evaluate that specific workflow.

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