It's 11pm.The decision that matters is buried in Slack.
You know it exists. You can't find it. Malveon surfaces it, along with the status Jira won't tell you and the incident context that usually takes real digging across half a dozen tools to piece together.
3 min ago- p95 latency up 3x in the last 12 min
- Correlated with the 14:02 deploy window
- Affects checkout and subscription renewals
- First seen 14:04, 312 events so far
- Stack: payment-service / charge.ts:88
- Only on the v1.24 release
- Build a3f19c, production target
- Rollback to v1.23 available
- 3 commits in this release
- #812 Refactor charge retry logic
- #814 Bump stripe sdk to 14.x
- #815 Tighten webhook validation
- Blocked on the UPI webhook retry fix
- Past the 2 day escalation threshold
- Linked to Payments v2
- Flagged the exact timeout path now failing
- Decision: gate v2 behind a flag
- Captured in Malve, surfaced automatically
Connects to the tools you already use
Malveon reads signals from Slack, Linear, and Vercel over OAuth, plus every other tool across your context, planning, and execution layers. Nothing to install, nothing to migrate. Connected in about 15 minutes, your team keeps working exactly as before, and on-call stops meaning nine different dashboards.
A decision buried in a thread at 11pm
Cross-team discussion context
Documentation and knowledge base
Team wiki and specs
Shared documents and comments
Sprint tasks and project tracking
Issue tracking and backlog
Pull requests, CI status, code changes
Error tracking and exception alerts
Incident alerts and on-call routing
Deploy status and rollback history
18 tools you can connect today: the 11 above, plus these for metrics, deploys, and cloud infrastructure.
One place to manage all of theseMalveon connects to your existing tools. Slack: A decision buried in a thread at 11pm. Microsoft Teams: Cross-team discussion context. Notion: Documentation and knowledge base. Confluence: Team wiki and specs. Google Docs: Shared documents and comments. Linear: Sprint tasks and project tracking. Jira: Issue tracking and backlog. GitHub: Pull requests, CI status, code changes. Sentry: Error tracking and exception alerts. PagerDuty: Incident alerts and on-call routing. Vercel: Deploy status and rollback history. Malveon is one place to manage all of these.
Three layers that connect discussion to deploy
Communication and Context
Calm inbox and work discussions. Decision memory: a decision gets captured straight from the Slack channel it was made in, with the real author on the record, not just from threads someone moved into Malveon. Search reaches into GitHub, Jira, Notion, Confluence, Google Docs, Linear and Teams live, not just what's saved here. Integrates Slack, Teams, Notion, Confluence.
Planning and Execution Truth
PM dashboard and project health from real blockers, missed dates, CI failures and open incidents. When a signal is missing it says so instead of scoring the project green by default. Every project is imported from Linear, Jira or GitHub, never typed in by hand, so there is nothing to keep in sync. Integrates Linear, Jira, GitHub.
Release and Safety
Your CI/CD Hub, deploy safety checks, and automated incident triage. Fridy catches a leaked password or secret key in your editor before you even commit, not in a postmortem. If anything still slips through, Deploy Safety catches a risky database change before it ships. When an incident fires, Malviont names the deploy that shipped it, the commit, the files it touched and who owns them, plus the exact line when a stack trace or a failed build points at one. Roll back a bad deploy or resolve the error right from the incident view. Integrates GitHub Actions, Datadog, PagerDuty, Sentry, Vercel.
One continuous loop of DevOps execution
Cut incident triage from a multi-tool scavenger hunt to one correlated view, with the learning saved back as a decision.
- 01DiscussionMalve / Slack / Teams
- 02DecisionAuto-detected, saved with context
- 03TaskMalvedeck / Linear / Jira
- 04Code & PRGitHub
- 05Safety CheckLeaked passwords, risky changes, live staging config
- 06DeployVercel + 4 more
- 07Incident?Datadog, Sentry, GitHub, Malvedeck, Malve, Slack, correlated and ranked
- 08LearningSaved as a Decision, exportable to Notion/Confluence
- Learning feeds back into Discussion, closing the loop.
- Discussion (Malve / Slack / Teams)
- Decision (Auto-detected, saved with context)
- Task (Malvedeck / Linear / Jira)
- Code & PR (GitHub)
- Safety Check (Leaked passwords, risky changes, live staging config)
- Deploy (Vercel + 4 more)
- Incident? (Datadog, Sentry, GitHub, Malvedeck, Malve, Slack, correlated and ranked)
- Learning (Saved as a Decision, exportable to Notion/Confluence)
- Learning feeds back into Discussion, closing the loop.
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.
Communication and Context
- Calm inbox and work discussions
- Decision memory: discussion to decision
- Integrates Slack, Teams, Notion, Confluence, Google Docs
Jira says green. The deadline slipped two weeks ago.
Status dashboards show what tickets say, not what is actually shipping, green outside, red inside, the classic 'watermelon status.' 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.
Planning and Execution Truth
- PM dashboard and project health engine
- Health from real blockers, delays, CI, and open incidents
- Integrates Linear, Jira, GitHub
The incident fires. Your team spends the first stretch just finding what changed.
Six tabs open. GitHub, Datadog, Sentry, PagerDuty. Half the team paged. Malviont surfaces the relevant deploy, the open flag, and the last decision from your IDE, no tab switching required, and Deploy Safety catches the next leaked password or risky database change before it ships.
Works inside VS Code. Context in the editor, not across six tabs.
Release and Safety
- Fridy: catches a leaked secret before you even commit
- Deploy safety and automated incident triage
- Integrates GitHub Actions, Datadog, PagerDuty, Sentry, Vercel
Real project health, not the optimistic version
Malvedeck reads real signals across GitHub, Jira, and Linear to show actual project health and what is actually shipping, not what someone updated in Jira three days ago.
Good morning, Kevin
Here's what's happening across your ecosystem today.
Project health
Health signals
- CI passing: 18 of 18 checks
- Nothing blocked, nothing overdue
- Shipped to production 4 times this week
Health signals
- Webhook retry blocked 3 days
- CI failing: 2 of 9 runs in the last 24h
- Two tasks past their due date
Health signals
- No task here carries a due date, so nothing was measured for delays
- No CI provider connected for this repo yet
- Rather than score this green by default, it says it does not know
Health signals
- 4 tasks blocked on an API dependency, one for 9 days
- One incident has been open 3 days
- Work is closing, but nothing has reached production in 6 weeks
What is holding these projects back
3 reasons- Blocked 9 days on an API dependencyLongest-running blocker in the portfolio. The penalty grows with age, not with how many tasks are blocked.Mobile onboarding
- Closing work, but nothing has shipped in 6 weeksSix times this project’s own median gap between production deploys. Measured against its own history, never a fixed number of days.Mobile onboarding
- CI failing on 2 of the last 9 runsRead from real runs on your connected provider, not from a checkbox.Checkout redesign
Every line here comes from a real blocker, a real missed date, a real CI run, or a real open incident. Nothing is a status someone typed in.
Incident triage time
- Without Malveon
- Manual tool-hopping across Slack, GitHub, Sentry
- With Malveon
- One correlated view, root cause first
Context switching
- Without Malveon
- 15 to 30 tools
- With Malveon
- One calm system
Decisions in Slack
- Without Malveon
- Vanish in threads
- With Malveon
- Saved and searchable
Deploy safety
- Without Malveon
- Manual checks and guesswork
- With Malveon
- Leaked passwords and risky changes scanned and blocked automatically
Project health
- Without Malveon
- Green in Jira, red in reality
- With Malveon
- Real-time from blockers and CI
Fixing a bad deploy
- Without Malveon
- Manual rollback, dig for the right command
- With Malveon
- Roll back or resolve the error inline from the incident view
Finding what actually broke
- Without Malveon
- Read the stack trace, then grep the repo
- With Malveon
- The deploy, the commit, the files it changed, and who owns them
A failed production deploy
- Without Malveon
- Someone notices in the CI tab, eventually
- With Malveon
- Opens an incident by itself, and closes itself when the next deploy passes
| Problem | Without Malveon | With Malveon |
|---|---|---|
| Incident triage time | Manual tool-hopping across Slack, GitHub, Sentry | One correlated view, root cause first |
| Context switching | 15 to 30 tools | One calm system |
| Decisions in Slack | Vanish in threads | Saved and searchable |
| Deploy safety | Manual checks and guesswork | Leaked passwords and risky changes scanned and blocked automatically |
| Project health | Green in Jira, red in reality | Real-time from blockers and CI |
| Fixing a bad deploy | Manual rollback, dig for the right command | Roll back or resolve the error inline from the incident view |
| Finding what actually broke | Read the stack trace, then grep the repo | The deploy, the commit, the files it changed, and who owns them |
| A failed production deploy | Someone notices in the CI tab, eventually | Opens an incident by itself, and closes itself when the next deploy passes |
Every category solves one piece. Nobody connects them.
Not trying to out-build any of these on their own turf. The differentiator is connecting context, planning, and execution in one system.
Engineering intelligence
- What it gives you
- Metrics: deployment frequency, PR cycle time, exec dashboards
- What Malveon adds
- Why a project slipped, not just that it did
Incident coordination
- What it gives you
- Coordinates the incident: paging, channels, postmortems
- What Malveon adds
- Connects the incident to the deploy, PR, and decision that caused it
AI observability
- What it gives you
- Parses raw logs and traces for root cause
- What Malveon adds
- Correlates signals plus code, deploy, and decision context, complementary, not competing
Knowledge management
- What it gives you
- Manually written and maintained docs
- What Malveon adds
- Auto-captures decisions from live conversation
Developer context tools
- What it gives you
- Static service catalog, code search
- What Malveon adds
- Live incident awareness plus pre-deploy safety
| Category | What it gives you | What Malveon adds |
|---|---|---|
| Engineering intelligence | Metrics: deployment frequency, PR cycle time, exec dashboards | Why a project slipped, not just that it did |
| Incident coordination | Coordinates the incident: paging, channels, postmortems | Connects the incident to the deploy, PR, and decision that caused it |
| AI observability | Parses raw logs and traces for root cause | Correlates signals plus code, deploy, and decision context, complementary, not competing |
| Knowledge management | Manually written and maintained docs | Auto-captures decisions from live conversation |
| Developer context tools | Static service catalog, code search | Live incident awareness plus pre-deploy safety |
Production-grade execution, without the chaos
Designed for engineering realities: OAuth access with every write explicit and role-gated, a full audit trail from discussion to deploy, and clear ownership for teams that ship production software.
Malveon connects over OAuth, the same trusted sign-in method as "Sign in with Google," and every webhook is signature-verified so updates cannot be faked. It reads your tools continuously and only writes back on an explicit action you take, replying to a thread, merging a PR, rolling back a deploy, every write role-gated and logged.
Traceability from discussion to decision to task to deploy, searchable for reviews and post-mortems.
Work marked done gets checked against reality: is there a real pull request behind it, and did that pull request reach a successful production deploy? Done and shipped is separated from done with nothing to show for it. Read from the links GitHub and Linear already hold, never guessed by AI. Pro and above.
No data resale, encrypted in transit and at rest. Your source code is never sent to an AI model. The two places a model is used, decision write-up and incident narration, get prompt-injection guarding, and the decision path redacts secrets and personal data before the text leaves.
Connect your stack, 18 tools and counting.
Formal certifications such as SOC 2 are a roadmap priority, claimed only after a third-party audit signs them off.
See what's nextLearn how engineering teams fix scattered context
Practical writing on incidents, decisions, and the hidden cost of scattered context.
Why Incident Triage Eats Your Team's Time (And How to Get Root Cause in One View)
Most teams spend the first stretch of an incident just finding what changed.
Read the postGet connected in 15 minutes
Connect Slack, GitHub, and your tracker over OAuth. Nothing to migrate.
Read the guideFrequently asked questions
Start free. Upgrade when you outgrow it.
Free for small teams, forever. Pro unlocks the full context layer at $99/month flat, no per-seat pricing.
For small teams
$0/mo
Start Free- 5 users, 1 project, forever
- All 8 integrations
- Incident triage with likely cause
- Community support
Growing teams
$99/mo
Choose Pro- Everything in Free, plus:
- Unlimited projects, up to 100 users
- Deploy Safety and the CI/CD Hub
- AI decision extraction
- Email support
Scaling companies
$499/mo
Choose Scale- Everything in Pro, plus:
- AWS, Azure and GCP
- Rollback & kill-switch actions
- Dedicated Slack channel
Built by engineers, for engineers
We spent our careers watching decisions disappear into Slack threads and incidents take far longer than they should to understand. Malveon is the system we wished we had.
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