Avium
AI delivery intelligence + Visibility, Capacity, and Risk management across every project

See the work. Plan the capacity. Catch the risk.

Tracking work isn't the same as delivering it. Import your data from Excel or any work management tool, and Avium turns it into one live view — what's in flight, whether you can deliver it, and where it's at risk. Avium Signals detects it from your real data; Avium Intelligence turns it into a briefing you can act on — so the numbers are never invented. Built for VPs, engineering managers, scrum masters, and agile coaches.

Start free → ▶ Watch the demo Talk to us
⚡ 60-second setup
🔄 Two-way sync
💳 Free tier — no credit card
The problem

Sprint review shouldn't be the first time you find out.

Engineering managers fly blind for weeks at a time. Your work management tool shows tickets. Spreadsheets show capacity (when someone remembers to update them). Real answers — who's overloaded, where the team's stuck, whether you'll ship — live in a head somewhere or get cobbled together the morning of the executive review.

Scattered data
Jira, Excel, Confluence, Slack threads — the truth about your team is spread across five tools and none of them talk to each other.
Stale spreadsheets
Capacity planning happens in a tab that gets updated once a month, by one person, the night before each quarter starts.
Surprise overcommits
You commit to a sprint without seeing that two engineers are already 130% allocated. The slip becomes visible only at sprint review.
No write-back
Other "intelligence" tools read your work data and present nice charts — but when you spot a problem, you have to fix it back in the source tool manually.
How Avium works

One engine, end to end.

Your data flows into Avium Signals — deterministic detection on the numbers you already have — and Avium Intelligence turns it into one grounded, plain-language briefing — with the Delivery Knowledge Graph showing the same story as a map you can explore — the Monte-Carlo on-time forecast and every signal's priority score right on the map, not just in the briefing. Open any ticket, anywhere in Avium, and its own slice of that graph is right there: who owns it, what blocks it, and exactly why it's at risk. The outcome: See the work, Plan the capacity, Catch the risk.

Your data Jira · Azure DevOps · Asana · Excel Avium Signals Deterministic detection Avium Intelligence What to act on See the work Plan the capacity Catch the risk

For Enterprise: the answer comes to you. The Avium API delivers the same engine onto your own rail — register a webhook and a detected risk shows up in your Teams, ServiceNow, or PagerDuty, HMAC-signed and grounded in a real Signal, with no new login. One revocable, read-only key instead of 400 seats — a smaller security review, not a bigger one.

Who Avium is for

Four roles. One source of truth.

Avium is built for the people who actually have to answer "where are we?" — whether you're managing the team, running the sprints, owning the delivery date, or briefing the executives.

VP of Engineering
"Where should I be looking?"
Department roll-ups across every team. Capacity-vs-velocity at a glance. Stop spending Monday morning chasing status updates — Avium tells you which team needs your attention.
Engineering Manager
"Is my team overloaded?"
See workload across every person and project in one board. Spot over-allocations before they become missed sprints. Have real numbers when you sit down with each engineer.
Delivery Lead
"Will we hit the date?"
Track fix versions, milestones, and cross-team dependencies in one place. Avium Signals surfaces patterns — chronic slippers, velocity drift — weeks before review.
Scrum Master
"Can we commit to this sprint?"
Sprint Matrix shows committed hours per person across the next three sprints. Plan the ceremony with capacity data in front of you, not a gut check. Overcommits glow red.
Three answers — every day, real time

What Avium gives you that no spreadsheet can.

Three things every engineering manager needs to know. Three views that always tell the truth, updated as your data changes.

See the work
The real workload across every team and project. Drag-and-drop board, kanban phases, sprint and fix-version filters. Stop asking "what is everyone working on" — see it.
Plan the capacity
Capacity grounded in data, not gut feel. Sprint Matrix shows committed hours per person across the next three sprints — overcommits glow red before they hurt you.
Catch the risk
Avium Signals surfaces patterns across sprints — chronic over-allocators, under-utilization, velocity drift, sprint-over-sprint health. Spot slips weeks before review. The Velocity report draws a projected delivery range from your own recent history right beside it, so when a sprint is committed above the pace your team has actually shown it can clear, Avium Signals tells you before it becomes a missed date. No sprints? Continuous-flow teams get a peer Kanban engine instead — a Delivery Time Target from your own history, throughput (with the same projected-pace read), and work-item age that flags aging work before it slips. And every risk ships a lever: a Do today strip turns each Signal into a one-click move you can accept or dismiss — not just a dashboard.
Why Avium specifically

Three things make us different.

Tools that show you nice dashboards aren't rare. Tools that get out of your way, let you fix the problem, and run their intelligence on rules you can trust — those are.

✦ Differentiator · 01
The Avium Signals Engine.
Every insight card on the page — Sprint Risk, Over-Allocation, Rebalance, Velocity Drift, Blocked Work, Data Quality, Unassigned Work, Lead Time, Time-in-Status, Stuck-in-Phase, Reopen Rate, Sprint Scope-Change, Sprint Creep, Flow Efficiency, Hand-off Cost, the Workflow Sankey, and the Ping-Pong anti-pattern — is produced by a proprietary rules library we wrote against real engineering teams. No black-box LLM call to generate them. The rules are explicit, defensible, and ours.

Your data, your rules, runs without an LLM API key. ~80% of the Insights page works on the engine alone. AI is additive narrative on top — it doesn't make the rules; it explains them in plain English.

And every signal closes its loop. The drill that proves a risk also fixes it — Apply the move: rebalance the over-loaded person, defer the lowest-priority tickets the Monte-Carlo engine names (with the on-time odds before and after), assign unowned work to spare capacity, return a mid-sprint add to the backlog, nudge a blocked ticket's assignee by email, or repair data-quality gaps field-by-field. Each apply sits behind an explicit confirm, stays in Avium until you push to the source tool, and lands in the audit log.



And it isn't sprint-only. Pick what your team plans against — sprint end, a release date, or a custom date field — and the on-time forecast, risk card, and levers all follow; release and Kanban teams get the same risk surface, forecast off rolling weekly throughput when there's no sprint to sample. And when a date is genuinely gone, Avium stops pretending: at 0% the move becomes "set a date you can hit" — record a realistic, re-baselined date (kept in Avium, never silently written to your source) and notify the team — instead of a hollow "protect the date." Honesty is the product.

And the reports are configurable — pick the start phase for Lead Time, the stuck threshold for Time-in-Status, the stale-threshold for WIP Aging, the time window for Throughput. Any user can adjust; admins set the org-wide default. Different teams measure work differently; the engine respects that.

Available on Team plan and above.
⚡ Differentiator · 02
Up and running in 60 seconds.
No setup wizards. No integration consultants. No quarterly migration projects. Sign up, connect your work management tool (connect Jira, Azure DevOps or Asana), pick the projects to sync. You're looking at your team's workload before your coffee gets cold.

Not connected to a tool yet? Upload an Excel file with whatever columns you have — Avium maps them automatically. Or drag a meeting transcript or requirements doc onto any page — Document → Stories drafts the tickets from its action items, ready for your review. Every intake path is one click from anywhere via the "+ Add data" button. Your project documents live alongside the work too — Avium Files stores, previews, and organizes them inside your organization.
🔄 Differentiator · 03
The only one that pushes changes back.
Other tools read your work data and show you charts. When you spot a problem, you have to fix it back in the source tool manually — they're view-only.

Avium is the only delivery-intelligence tool that writes back. Edit a ticket here → it lands in your work management tool. Reassign in the Workload board → your tool stays in sync. Two-way write-back is live for Jira today, with more integrations on the way. Your single source of truth stays exactly that.
What's inside

Everything an engineering manager actually uses.

Eight views, one data plane. Built for the engineering manager who needs answers without flipping between tabs.

📋
Workload Board
Kanban-style board across all your projects. Drag tickets between phases. Filter by sprint, fix version, team, assignee. Source-tagged so you always know where each ticket came from.
📊
Sprint Matrix
People × upcoming sprints with committed hours per cell. Over-allocations glow red. Click any cell to see exactly which tickets are eating capacity. Edit hours inline.
Team plan+
🌳
Effort Rollup
A dedicated hierarchy view: pick an epic, feature, or initiative and expand its full tree down to the sub-task. Logged, Committed, and Estimated effort roll up at every level — points-mode teams see Estimated only, no hours invented. Every rolled number is clickable, decomposing straight back to its exact source tickets in Jira, Azure DevOps, or Asana.
✦
Avium Signals Engine
The proprietary rules library that produces every insight card: Sprint Risk, Over-Allocation, Rebalance, Velocity Drift, Blocked Work, Data Quality. Domain-specific rules authored against real teams — your data, your rules, runs without an LLM key. Availability heatmaps, sprint comparison, and per-person pattern detection ride on the same engine.
Team plan+
🔄
Two-way Sync
Pull tickets, sprints, fix versions, statuses on a schedule. Edit in Avium and push changes back on the Business plan. Source-tag governance prevents accidental overwrites. Live for Jira today, with more integrations on the way.
Business plan
📂
Excel Import
Upload .csv or .xlsx with any column order. Alias recognition + column-mapping wizard. Conflict detection on re-imports, and an explicit re-upload choice: refresh existing data, or full replace — Avium matches your file, archiving (never deleting) what dropped out. Every upload reports what changed since the last one: progressed, slipped, new, restored, archived (Team+). Up to 5,000 rows per file (1,000 on the Free plan).
🎯
Source Governance
Every ticket carries its origin — synced, externally-modified, Excel, or Avium-created. The write-back engine respects these tags so you never overwrite your source of truth accidentally.
🧭
Data & Fields — confirmed, never guessed
Avium never assumes where your planned hours, story points, or releases live. For Jira, the page leads with what you get: how many Avium Signals ship out of the box, then narrows the ask to just the handful of decisions that genuinely need you — each one led by the Signals it unlocks, with the field Avium detected already proposed, one click to confirm, or search for a different one (a field that structurally can't hold the answer never even shows up as a candidate). Every source gets a walkable receipt of what Avium already reads automatically, real coverage and sample values pulled from your own tickets, and "we don't use this" as a first-class decline — turning off something that would darken a real Signal always asks you to acknowledge exactly what goes dark first. Even releases are a field you point us at, not just Jira's fixVersions, dated by your own answer. Nothing is applied until you confirm it against your own data, and nothing goes dark silently.
⏱️
Time Logging
Log time against tickets. Quarter-hour increments. Roll up by person, team, project, sprint. Drives the actuals side of the Committed/Actual/Remaining math.
⚡
Auto-sync, Real-time & Avium Automations
Your data stays current without a click: scheduled auto-sync per source (off until you arm it), and real-time webhooks where a change in Jira, Azure DevOps, or Asana rings Avium's doorbell — Avium then pulls through its own verified sync, so nothing unvetted ever enters your data. On top, Avium Automations lets you build your own rules — "when a ticket blocks, email me," "every morning, send my watchlist" — delivered the moment they fire or bundled into your daily digest.
📈
Real-time Dashboards
WIP, throughput, capacity-vs-velocity, department roll-ups. Updates as your data changes. No manual refresh, no quarterly reconciliation meetings.
✨
Avium AI Briefing — powered by Avium Signals
Native AI on Avium's unified data plane: an AI sprint briefing, sprint risk forecasts, data-quality fixes, sprint-review auto-drafts, and Ask Avium — ask anything in plain English and get a grounded answer over your own data, with the numbers always real. One schema means complete context — no bolt-on plugins. AI is additive narrative on top of the deterministic Signals Engine; the engine itself ships at Team+.
Business plan
🎛️
What-If Scenarios
Pull a person out of the sprint, add two engineers, cut scope 20%, slip the deadline a week — and watch the on-time probability re-simulate live. Baseline and scenario run the same Monte-Carlo engine on paired seeds, so the delta you see is caused by your levers, not noise. A winning scenario hands off to one-click rebalance. Static forecasts tell you the odds; Avium lets you change them.
📜
Audit Log
An append-only, tamper-evident record of every security-relevant action — sign-ins and failed sign-ins, access & role changes, data import/export, integration connects, billing, and admin actions. Tenant-scoped, filterable, and immutable at the database level. The evidence trail your security review (SOC 2) asks for.
📝
Privacy Consent, on the record
Every user accepts the privacy policy — new accounts at sign-up, existing users at their next sign-in — and each acceptance is recorded per person with the exact policy version and timestamp, in the same append-only audit trail. The policy renders from one source file, and its version is a fingerprint of that file, so any change to the wording automatically prompts everyone to re-accept — no one is ever left on stale terms, and "who agreed to what, and when" is always answerable.
⏳
Enterprise Session Security
Sign-ins are server-tracked sessions with the hygiene your security review expects: short-lived access tokens renewed silently while you work, an automatic idle timeout (with a courteous "Still there?" countdown before it signs you out), a hard weekly re-authentication cap, and server-side revocation the moment you sign out. Removed or demoted members lose access within minutes — not at the end of a week-long token.
🔑
Avium API
Read your Avium data — Signals, briefings, blockers, capacity, work items — straight into your own systems and warehouse over a secure API. Scoped, read-only keys, hashed at rest with a secret shown exactly once, a required expiry you choose, rotation, revocation, and per-key rate limits. Every read is tenant-isolated at the data layer, so a key can only ever see your organization's data.
Enterprise plan
Avium vs the alternatives

When you compare side by side.

We respect every tool on this list — but only one of them is built specifically for the engineering manager's daily questions.

Capability Avium Spreadsheets Work management tools Tempo
60-second setup ✓ Sign up + connect a source ~ Format every cell ~ Already there in your tracker ✗ Multi-week rollout
Two-way sync (write-back) ✓ Business+ ✗ Not connected ✓ Native ~ Time only
Cross-project capacity rollup ✓ Built in ~ Manual formulas ✗ Per-project ~ Reports only
Sprint-level capacity planning ✓ Sprint Matrix ✗ ✗ ~ Add-on
Pattern detection across sprints ✓ Avium Signals + AI Briefing ✗ ✗ ~ Limited
Native AI (risk forecast, NL queries, review draft) ✓ Avium AI — live ✗ ✗ ~ Bolted-on plugins
Excel import (any format) ✓ Alias-mapped ✓ It IS Excel ~ Limited importer ~ CSV only
Source governance (no accidental overwrites) ✓ Tagged at row level ✗ ✗ ✗
Free tier for small teams ✓ 5 seats free ✓ ✓ Up to 10 users ✗
How it works

Three steps. One minute. Real answers.

No setup project. No consultants. No "we'll start using it next quarter." Connect, click, see.

1
Connect
Sign up free, then connect your work management tool — connect Jira (Cloud or self-hosted Data Center), Azure DevOps, or Asana in the wizard. Or skip the connector entirely and upload an Excel file with your team's tickets.
~ 60 seconds
2
Map & sync
Pick which projects to pull. Map your tool's statuses to your pipeline phases (we suggest defaults). Avium imports tickets, sprints, and people automatically.
~ 2 minutes
3
See insights
Open The Brief for the morning briefing and the one move that protects the date, Capacity for the team-health snapshot and the Sprint Forecast Matrix, and Reports for trend detection (Patterns, Sprint Comparison, the flow metrics — and Explore, the pivot that answers any ad-hoc question). Make decisions.
Instant
Pricing

Honest pricing. No talking to a sales rep just to see the number.

Start free. Upgrade when you outgrow it. Cancel any time. Most engineering managers find the answers they need on the Free or Team tier — Business adds two-way write-back when you're ready to make Avium your editing surface too.

Free
Try Avium with your real data. No credit card.
$0 forever
Up to 5 people · 2 connected projects
  • Workload Board · Phases · Matrix · List
  • Excel import + in-app create
  • Two-way sync (2 projects)
  • Basic Dashboard
  • Avium Signals + AI Briefing
  • Two-way write-back
  • Avium AI
Start free
Team
For growing engineering teams that need real planning.
$10 /seat/mo
Up to 25 people · 10 connected projects
  • Everything in Free
  • Avium Signals + planning surfaces (Sprint Matrix, Patterns, Availability)
  • Up to 10 connected projects
  • Resource planning + capacity
  • Department roll-ups
  • Avium AI — basics (data quality + Ask Avium)
  • Two-way write-back
Start free trial
Most popular
Business
Push changes back to your tools. Export, brand, custom-field anything.
$16 /seat/mo
Up to 100 people · unlimited connected projects
  • Everything in Team
  • Two-way sync (write-back)
  • Unlimited connected projects
  • Data export (Excel + CSV)
  • Custom fields + branding
  • Advanced analytics
  • Avium AI — full (risk forecast, review draft, AI briefing)
Start free trial
Enterprise
For larger orgs with custom procurement, SSO, support.
Talk to us
Unlimited everything
  • Everything in Business
  • Unlimited seats
  • Avium AI — unlimited + advanced reasoning
  • SSO / SAML Roadmap
  • Priority support Roadmap
  • Dedicated onboarding Roadmap
  • Custom contract terms Roadmap
Contact us
PlanFreeTeamBusinessEnterprise
Price$0 forever$10/seat/mo$16/seat/moCustom
Seats525100Unlimited
Connected projects210UnlimitedUnlimited
Import rows per file1,0005,0005,0005,000
Included in every plan
Workload board — Board · Phases · Matrix · List✓✓✓✓
Excel / CSV import + in-app ticket create✓✓✓✓
Two-way sync — Jira today, more integrations on the way (within the project limit)✓✓✓✓
Dashboard & capacity views✓✓✓✓
Plan features
Avium Signals + planning (Sprint Matrix, Patterns, Availability)—✓✓✓
Two-way write-back (push changes back to your tools)——✓✓
Data export (Excel / CSV)——✓✓
Custom fields——✓✓
Custom branding——✓✓
On the roadmap (Enterprise)
SSO / SAML———Roadmap
Priority support———Roadmap
Dedicated onboarding———Roadmap
Custom contract terms———Roadmap

Start free in under 60 seconds.

No credit card. No demo call required. No "we'll set up onboarding next quarter." Sign up, connect your work management tool (connect Jira, Azure DevOps or Asana, or skip and upload Excel), and see your team's real workload before this minute is up.

Start free → Talk to us first