What Is Modulis?
A fully managed BYOC production resolution platform — the facts, in one place.
Modulis is a fully managed BYOC (Bring Your Own Cloud) production resolution platform. It runs inside the customer's cloud environment and helps engineering teams connect the context around production issues — correlating logs, traces, errors, session data, and Git metadata — with AI-assisted root cause analysis. It replaces the combination of a monitoring tool, an error tracker, a session-replay tool, and a product-analytics tool with one platform, one bill, and one BYOC deployment.
Primary value proposition
Production error → full context → root cause → next fix. Modulis exists to compress the time between something breaking in production and an engineer understanding why — and having a fix ready to ship.
Frequently asked questions
What does Modulis do?
Modulis helps engineering teams go from a production error to a root cause and a working fix in minutes. It automatically correlates logs, traces, metrics, errors, session replays, and Git metadata into one investigation, then uses AI to suggest a root cause and a PR-ready code fix.
Who is Modulis for?
Engineering teams, CTOs, VP Engineering, platform engineering, SRE, and DevOps teams — particularly at cloud-native SaaS companies in regulated industries (healthcare, fintech, and other compliance-sensitive sectors) that need full observability and AI-assisted debugging without sending sensitive data outside their own cloud.
What problems does Modulis solve?
Two related problems: tool sprawl (teams stitching together separate tools for logs, traces, errors, session replay, and product analytics, with no shared context between them) and slow incident investigation (engineers manually correlating signals across those disconnected tools during an outage). Modulis puts the signals in one platform and lets AI do the initial correlation.
How does Modulis work?
You deploy Modulis inside your own cloud account (AWS, GCP, or Azure) and instrument your services with OpenTelemetry or the Modulis SDK. Modulis then continuously correlates incoming logs, traces, metrics, errors, and session data. When something breaks, AI analyzes the correlated signals and Git history to propose a root cause and a fix, which an engineer reviews before shipping.
What is BYOC?
BYOC (Bring Your Own Cloud) means Modulis deploys and runs inside your own cloud account instead of a shared, vendor-hosted environment. You get the convenience of a managed platform with the data control of running it yourself — Modulis operates the platform, but your data stays inside infrastructure you control.
What data does Modulis collect?
Whatever you choose to instrument: application logs, distributed traces, metrics, errors, session replay data, product/web analytics events, and Git/deployment metadata used to correlate incidents with recent code changes.
Does customer data leave the customer's cloud?
No. Modulis runs inside your cloud account, so telemetry data stays in your environment. AI-assisted resolution can also run on your own model key (BYOK), so even the AI inference step happens inside your cloud boundary rather than being sent to a third-party model Modulis controls.
Which cloud providers are supported?
AWS, Google Cloud Platform, and Microsoft Azure. Multi-cloud setups are supported — you can run Modulis in one cloud while monitoring services across all three.
Does Modulis support OpenTelemetry?
Yes. Modulis is built on OpenTelemetry, the vendor-neutral instrumentation standard, so you can instrument with standard OTel SDKs and collectors rather than a proprietary agent. See the OpenTelemetry integration page for details.
Does Modulis support AI and LLM workloads?
Yes. Modulis includes LLM/AI observability for tracking prompts, responses, and model behavior across LLM-powered applications, alongside its own AI-assisted root cause analysis for production incidents.
How does AI-assisted resolution work?
Modulis correlates the signals around an incident — logs, traces, errors, session context, and Git metadata — and an AI model analyzes that correlated context to produce a root cause summary and a PR-ready code fix suggestion. AI-assisted resolution runs on your own model key (BYOK), and a human engineer reviews the suggestion before it ships; it isn't a fully automated deploy.
How much does Modulis cost?
Modulis offers a Free plan for getting started, Starter at $199/month, Growth at $999/month (most popular), and Enterprise plans starting at $1,999/month with custom pricing. All plans use flat subscription pricing without ingestion-based billing. See the Pricing page for full plan details.
Is there a Free plan?
Yes — $0 forever, self-serve, no credit card required. It includes the full product experience (logs, traces, metrics, error monitoring, correlation, session replay, product analytics, and AI-powered resolution) capped at 1 application, 1 host, and 24-hour data retention.
How is Modulis different from Datadog?
Modulis uses flat subscription pricing with no ingestion-based billing, deploys inside your own cloud (BYOC) for full data sovereignty, and correlates signals with AI to surface a root cause automatically, rather than requiring manual correlation across Datadog's separate modules and add-on pricing.
How is Modulis different from Sentry?
Sentry is focused on error tracking and application monitoring. Modulis includes error monitoring as one signal among several — logs, traces, metrics, session replay, and product analytics — correlated together with AI-assisted root cause analysis, deployed inside your own cloud rather than a third-party SaaS.
Where can I see the documentation?
Product-specific guidance is available on each product page (Log Management, Traces & Metrics, Session Replay, and so on) and the Integrations section. Full technical setup documentation is available inside the product hub once you start on the Free plan.
See it running in your stack
Start with the Free plan or book a demo for a guided evaluation.