Continuous roadmap monitoring for SaaS product leaders.
Rhenari reads execution signals from the tools your teams already use and tells you, in plain language, whether your organization is converging on its goals or drifting off track. Insights and alerts are delivered in plain language in Microsoft Teams, Google Chat, or Slack. Every day.
Why Rhenari
Your dashboard says on track. Your instincts say otherwise.
Product and engineering leaders at scaling companies are accountable to outcomes they can't fully see. The execution signals that would reveal roadmap drift, misalignment, or friction exist inside the tools teams already use.
But as those signals pass through people — status meetings, update emails, filtered reports — each handoff compresses and delays them. By the time the picture reaches the person accountable for it, it's incomplete.
Dashboards display metrics but don't interpret what they mean. Consultants provide interpretation but only see filtered data collected manually. Rhenari reads execution data directly from the tools teams use — before it passes through any human filter — and produces actionable direction in plain language, continuously.
How it works
Three steps. No infrastructure. No new workflow.
Connect
Rhenari connects to the collaboration, project management, and development tools your teams already use. Setup is in-product. Nothing is deployed in your environment.
Read
Rhenari reads action metadata continuously — the record of what happened, when it happened, and what it meant for the overall goal. Message bodies and content are never stored.
Surface
Rhenari delivers two scores — Momentum and Confidence — in plain language, in Microsoft Teams, Google Chat, or Slack. With an explanation of what's driving them and what to do about it.
What you get
Two numbers. Everything they imply.
Momentum
Whether your organization is actually converging on its stated goals.
Not velocity. Not throughput. Momentum measures directional progress — whether the signals across your team's tools show alignment between what you planned and what's actually happening.
What it is not: Momentum is not a measure of how fast your team is moving. A team can have high velocity and negative Momentum.
Confidence
Whether the underlying signal is strong enough to trust the Momentum reading.
Low Confidence doesn't mean execution is poor. It means the picture may be incomplete — not enough signal has accumulated yet, or a data source has gone quiet. Confidence tells you how much to weight what you're seeing.
What it is not: Confidence is not a performance score. It is a data quality indicator.
What it connects to
Works with the stack you already have.
More on the way! We're prioritizing customer requests. If you're evaluating and your stack isn't listed, ask.
Three ways to buy Rhenari
Simplified procurement. Trusted platforms.
Direct
Buy straight from us on standard terms. The simplest path if you're not purchasing through a cloud agreement.
Microsoft
Add Rhenari to your existing Microsoft agreement, billed through your current cloud relationship.
The same, through your existing Google Cloud agreement.
For teams with committed cloud spend, a marketplace purchase removes the slowest part of the deal — onboarding a brand-new vendor through legal, procurement, and finance. Your cloud provider is already an approved vendor.
What this isn't
Before you pattern-match.
Not a roadmap tool
Rhenari doesn't help you build or manage the roadmap. It monitors whether execution is actually following it.
Not an engineering analytics platform
Engineering analytics measure the delivery pipeline. Rhenari measures whether what's being delivered is what was planned.
Not an AI assistant
An assistant answers the question you asked. Rhenari surfaces what you didn't know to ask — because it reads signals you aren't watching.
Not surveillance
Rhenari reads behavioral metadata — patterns of communication and activity. It never surfaces individual-level data. Outputs are team-level only. Minimum group size enforced.
How your data is handled
Read signals. Never store content.
Rhenari reads behavioral metadata — who communicated with whom, when, and in what pattern. Message bodies, email content, and long-form text are never written to storage.
When AI classification requires reading source content, it is processed ephemerally in memory and immediately discarded. Only the structured analytical output is persisted.
All application services, data storage, and scoring logic run on Rhenari-managed infrastructure. Nothing is deployed in your environment.
Every tenant is isolated at every layer — identity, API, storage, analytics, and serving outputs. No cross-tenant data is ever in scope.
Encryption at rest (AES-256) and in transit (TLS 1.2+) across all services.
See the full execution picture.
Subscribe through Microsoft Marketplace. Setup takes minutes, not months.