The intelligence layer your product team is missing.

Meet Arc

Why roadmaps fail.

Product's blind spot.

PMs are responsible for the roadmap, but lack the technical context to plan without the assistance of engineering.

The alignment tax.

Teams spend weeks in back and forth planning meetings. Frustration builds. Trust erodes.

The downstream cost.

Timelines double. Dependencies surface after kickoff. Engineers context-switch. Defects rise. Culture drops.

Shaped by 50+ Product and Engineering leaders across Enterprise and Growth-stage SaaS.

Give Product teams the engineering
context they need.

Executive summary

Decisions you can defend.
In minutes.

Arc
GitHub
Linear
Slack
Datadog
Confluence
Salesforce
Step 1

Connect your tools.

GitHub, Linear, Slack. Wherever your context lives, Arc will find it.

#growth-team
Sara Chen10:42

@Arc can we build a self-service analytics dashboard for regional managers?

Arc
ArcAPPnow

On it — drafting a feasibility brief

Step 2

Submit a request.

Idea, initiative, or feature request. Add as much or as little context as you want.

Feasibility Brief
Proceed with Caveats
Real-time Collaboration on Shared Dashboards
30–36 day effort·ships May 15
TeamsPlatformDataFrontend
SCMK
Aligned
Commit
Step 3

Review, Align, and Commit.

Give product and engineering a shared starting point.

Trusted by

FiddlerUWC

How much are you losing?

Estimate the annual cost of wrong priorities, rework, and delayed features across your engineering and product teams.

Used to estimate engineering capacity costs

Used to estimate planning and validation time

Used to estimate accelerated time-to-market value

Used to estimate typical rates and margins

Estimates based on industry salary averages and research on engineering capacity loss and PM planning time.

You're currently wasting

$1.9M

Every year on wrong priorities, rework, and delayed features

Engineering capacity$1.5M
Product management time$280K
Per 2-week sprint$73K
Request a demo

Plan with
confidence

Book Demo

Those tools are generalists that start from zero every session. Arc is purpose-built for product planning with industry best practices baked in. It also builds a persistent knowledge layer across your codebase, backlog, and integrated systems, so the analysis reflects how your organization actually works, not just what you remembered to paste into a chat window.

Primarily PMs and product leaders who own the roadmap but need engineering context to plan it, and engineering leaders who are tired of being the bottleneck for every feasibility question. Engineers benefit downstream from fewer half-baked tickets and clearer context at kickoff.

No. Arc handles the research legwork PMs don't have time for: mapping dependencies, assessing feasibility, gathering context across siloed systems. PMs still own the ideas and decisions. Arc makes sure those decisions are backed by real data.

No. Your team keeps working in Jira, Linear, or whatever they use today. Arc reads from those systems to build context. Nobody has to change how they work.

Minutes to connect your systems and start running analysis. Arc gets meaningfully better over time as it builds deeper organizational context, but the first output is useful immediately.