Modulis vs Resolve AI: BYOC Managed Production Resolution — Full 2026 Comparison

Quick answer

Resolve AI is not a telemetry platform — it’s a multi-agent AI SRE layer that plugs into the observability, cloud, CI/CD, and database tools you already run (Datadog, Prometheus, New Relic, AWS, Kubernetes, GitHub, and more) to investigate incidents, correlate signals across them, and recommend or automate remediation inside Slack or Microsoft Teams. Modulis is the underlying platform itself: it collects and correlates logs, traces, metrics, errors, and session data, and adds AI-assisted root cause analysis on top, deployed inside your own cloud. In practice, Resolve AI assumes you already have (and keep paying for) an observability stack; Modulis replaces that stack with one BYOC platform that includes its own AI-assisted resolution.

Who each is for

Resolve AI fits teams that already have a mature, multi-tool observability and incident-response setup and want an AI layer to speed up triage and investigation across those existing tools, without changing what collects the underlying data. Modulis fits teams that want to consolidate observability, session replay, product analytics, and AI-assisted resolution into one BYOC platform instead of adding another tool on top of several others.

Architecture

Resolve AI’s public documentation focuses on its multi-agent investigation workflow and its integrations (Prometheus, Datadog, New Relic, Sentry, ELK, AWS, GCP, Azure, GitHub, and more); it does not publicly document a BYOC, VPC, or self-hosted deployment option, so verify current deployment and data-handling details directly with Resolve AI if that matters for your compliance posture. Modulis is BYOC by design at every tier — it deploys inside your own cloud account, so both the telemetry it correlates and the AI inference that analyzes it stay inside your infrastructure.

AI capabilities

Both use a multi-agent approach rather than a single model: Resolve AI runs specialized agents that pursue multiple root-cause hypotheses in parallel against your existing tools, aiming to auto-resolve a large share of alerts without human intervention. Modulis’s AI-assisted resolution correlates its own first-party telemetry — logs, traces, errors, session replay, and Git metadata — into a root cause and PR-ready fix, running on your own model key (BYOK) inside your cloud boundary.

Pricing approach

Resolve AI does not publish pricing; you’ll need to talk to sales to get a quote. Modulis publishes flat, tier-based subscription pricing starting at $0, with unlimited data ingestion on every paid tier — see the Pricing page for exact numbers.

When to choose Modulis

Choose Modulis if you’d rather consolidate onto one BYOC platform — telemetry collection, session replay, product analytics, and AI-assisted resolution together — instead of layering an AI investigation tool on top of several separately-billed observability vendors.

When Resolve AI may be a better fit

If you’ve already invested heavily in a specific observability stack (Datadog, New Relic, or similar) and just want an AI layer to speed up incident investigation across those existing tools without migrating off them, Resolve AI’s integrate-rather-than-replace approach may be the lower-friction option.

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