Decisions buried in Slack.Status lies in Jira.Incidents take 45 minutes.

Malveon is the execution intelligence platform for engineering teams of 8 to 60. It is the execution layer that fixes all three, without replacing a single tool your team uses today.

Early access for teams of 8-60. No credit card required.

malveon.app → Execution Dashboard

Incident Alert

Slack

3 alerts, 12 minutes, no root cause yet.

Verified

Context Surface

Malveon

PR #847, deploy 2:14 AM, Slack thread found.

Verified

Triage Complete

VS Code

Root cause in 8 minutes. Decision saved.

Verified

Decisions, recovered

Stop losing context in Slack threads

Threads searchable by decision, not message
Discussion linked to code, task, and deploy
Reads from Slack, Notion, Confluence

See how it works01

Real project health

Click to explore core engine

Triage in under 10 minutes

Click to explore core engine

One continuous loop of DevOps execution

Three things break at every growing engineering team: decisions vanish in Slack, project status lies, and incidents take too long to triage. Malveon fixes all three without replacing a single tool you use today.

Discussion

Malve / Slack

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Decision

Saved Context

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Task

Malvedeck / Linear

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Code & PR

GitHub

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Safety Check

Fridy (VS Code)

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Deploy

Vercel / GitHub Actions

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Incident?

Under 10 minutes

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Learning

Saved back as Decision

Faster incident triage. Context without the scramble.

Three problems your teamhits every week

The call is at 11pm. The decision that matters is buried in Slack.

Three weeks ago someone decided not to flag that. You know it. You cannot find it. Malve surfaces decision threads, rationale, and context from your existing Slack history before the incident gets worse.

Zero migration. Malve reads Slack. Nothing to move.

Jira says green. The deadline slipped two weeks ago.

Status dashboards show what tickets say, not what is actually shipping. Malvedeck reads real signals across GitHub, Jira, and Linear to show actual project health, not the optimistic version.

Connects to Jira and Linear via API. Your team keeps their current workflow.

The incident fires. Your team spends the first 40 minutes just finding what changed.

Six tabs open. Slack, GitHub, Datadog, Jira. Half the team paged. Malviont surfaces the relevant deploy, the open flag, and the last decision from your IDE. No tab switching required.

Works inside VS Code. Context in the editor, not across six tabs.

Built for People Who Ship and Support Software

Built for every person who ships, reviews, and owns production.

Project Managers

Specs, tasks, and deploys connected. No chasing updates.

The sprint shows 80 percent complete. Three features slipped. Nobody said anything. Malvedeck surfaces the gap between what Jira says and what GitHub shows, so you catch slippage before the demo.

Developers

Code with context. Deploy with confidence. Fewer interruptions.

Six tabs open before you write a line. The incident context lives in Slack threads from three weeks ago. Malviont puts the relevant history in your IDE sidebar so you can start fixing instead of searching.

QA / Test Engineers

Trace changes from requirement to release without manual audits.

You approved the deploy. Two hours later it is rolled back. The decision to skip that test was in a Slack thread you were not in. Malve keeps decision history so the next team knows what was agreed.

DevOps / SRE

Faster triage. Clear ownership. Calmer on-call.

Datadog fires. GitHub shows a deploy 90 minutes ago. Three people pinging asking what changed. Malvedeck shows the deploy against the project timeline so you answer in one message, not thirty.

Engineering Managers

You are paged at 2am. Your team needs context, not more Slack messages.

By the time your team understands what changed, 40 minutes are gone. Malveon shows the relevant deploy, the decision thread, and the flag state before anyone types a single message, so the fix starts in minutes, not at the end of a call.

Execution control where developers already live.

Fridy brings execution context directly into your editor, so you don't have to tab away to check Linear or see who broke the build.

Quick Peek Panel
See relevant tasks & decisions alongside code
Deploy Safety Warnings
Get alerted before you push risky changes
Inline Status
Know if main is broken without checking Slack

Fridy - VS Code Extension

const malveon = require('execution-flow');

malveon.optimize();

Deploy Safety Warning

3 other PRs merged to main since your last pull.

// Continuing work with context...

The Connector Layer

A specialized backend bridge built in Node.js and Go designed to correlate signals across your entire stack into a single execution truth.

Non-Invasive Protocol

Direct API connections for Slack, GitHub, Linear, and Datadog. Malveon pulls signals without replacing your toolchain or forcing migration.

OAuth-First Security

Webhook-Driven Signals

The Normalization Engine

Layer 1

Malve

Communication Layer

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Layer 2

Malvedeck

Execution Truth Engine

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Layer 3

Malviont

Safety & Release Layer

The hidden cost of scattered tools

See the difference when execution flow is unified.

Problem Area

Without Malveon

With Malveon System

Decisions lost in Slack

High IMPACT

Without

Scattered in Slack/Notion

With

Directly linked to code & plan

Project health

Medium IMPACT

Without

Weekly status updates

With

Real-time from blockers + CI

Incident triage

Critical IMPACT

Without

45-minute manual scramble across Slack, GitHub, and Jira

With

Automated triage with full context in under 10 minutes

Context switching

High IMPACT

Without

Scattered tool stack

With

One calm system

Deployment safety

High IMPACT

Without

Manual checks & guesswork

With

Automated IDE-native checks

Team capacity

Medium IMPACT

Without

Guesswork & Estimates

With

Real capacity from git activity and blockers

Pulls real signals from the tools your team already runs

Malveon reads from Slack, GitHub, Jira, Linear, Datadog, Notion, Google Docs, and more via API and webhooks. Your team keeps every tool exactly as before. Malveon adds the context layer on top. Zero migration. Zero new tool to learn.

“Read-only via webhooks and APIs. Your team keeps every tool, every workflow, every shortcut. Malveon adds the context layer that ties them together.”

Frequently Asked Questions

Everything you need to know about the Malveon execution platform.

Malveon is a context layer for engineering teams of 8 to 60. It connects Slack, GitHub, Jira, Datadog, and Linear so your team can triage incidents in under 10 minutes, recover decisions that vanish in Slack threads, and see real project health, not what someone manually updated in Jira three days ago.

Engineering teams commonly spend 30-90 minutes per incident finding the right PR, the right deploy, and the right Slack thread. Malveon surfaces all of that automatically in one view. The goal is under 10 minutes from alert to root cause.

No. Malveon reads from Jira, Linear, GitHub, and Slack via API. Your team keeps using every tool exactly as before. There is nothing to migrate and no new workflow to learn. Setup takes about 15 minutes.

PagerDuty alerts you. incident.io manages the incident. Linear tracks tasks. None of them connect the Slack decision that caused the problem, the PR that shipped it, and the Jira ticket that tracked it into one place. Malveon is the connective tissue between your existing tools, not a replacement for any of them.

Engineering managers and heads of engineering at Series A and B companies with 8 to 60 engineers. That specific range is where tool chaos starts but you are not big enough for enterprise solutions. If your team gets paged at night, owns production deploys, and makes decisions in Slack that disappear, Malveon is built for you.

Early access teams join at $99/month flat, locked in forever at that price. No per-seat pricing at pilot stage. No credit card required to join the waitlist. Pricing moves to per-seat ($15-40 per contributor per month) after the pilot cohort closes.