Platform

One operational model,
shared across the organization.

Continuously maintained from Gmail, Calendar, Meet, Drive, Docs and Slack — the systems your work already lives in — then reported back each morning as what needs a decision.

Morning Intelligence · what NavisLabs produced from one organization’s own systems, unedited in structure.

Why this is different

Not an assistant you query. A model that stays current.

Most AI tools wait to be asked, then start from nothing. NavisLabs maintains an understanding of the organization whether or not anyone is looking at it.

Traditional AI tools

Searches documents on request

NavisLabs

Continuously understands how the organization changes

Traditional AI tools

Answers the question you asked

NavisLabs

Tells you what needs attention before you ask

Traditional AI tools

Starts cold in every session

NavisLabs

Remembers what was decided and what was promised

Traditional AI tools

Confident prose, no provenance

NavisLabs

Every conclusion traceable to its source signals

Operational model

The organization, kept current.

Not documents retrieved on request. Entities that stay accurate as reality changes.

People

Responsibilities, expertise, availability

Projects

Status, blockers, momentum, dependencies

Customers

Relationships, risk, open commitments

Decisions

What was decided, by whom, on what basis

Commitments

Promised, delivered, overdue

Meetings

Who met, what changed as a result

Architecture

Connect, understand, reason, approve — then again.

The pipeline does not run once. Every approval and every new signal feeds the next cycle.

01

Connect

Read-only scopes your administrator grants. No migration, no endpoint agents.

02

Understand

Entities resolved across systems and held as one continuously updated model.

03

Reason

What was promised, measured against what actually happened.

04

Approve

A person decides. Nothing leaves the system without them.

Every outcome returns to the model, so the next cycle starts better informed.

Traceability

Every conclusion shows its work.

If NavisLabs cannot show why it surfaced something, it does not surface it. This is the same trace behind the first item in the panel above.

Trace

Acme Corp has gone quiet 34 days before renewal

Signals used
4 email threads · 2 meetings · 1 usage report
The exact records the conclusion was drawn from.
Confidence
High — four independent signals agree
How strongly the evidence supports the claim.
Source links
Renewal thread · Q3 review notes · Account usage
One click back to the original record.
Timeline
No reply for 18 days · surfaced Tue 07:00
When it changed, and what changed it.

Integrations

Connects to the systems you already run.

Read-only, through the OAuth scopes your administrator grants.

Supported

6 systems

  • GmailSupported
  • Google CalendarSupported
  • Google MeetSupported
  • Google DriveSupported
  • Google DocsSupported
  • SlackSupported

Coming soon

7 on the roadmap

  • NotionComing soon
  • HubSpotComing soon
  • JiraComing soon
  • GitHubComing soon
  • ZoomComing soon
  • SalesforceComing soon
  • Microsoft 365Coming soon

Need a specific system? Let us know during your demo and we’ll tell you exactly where it stands.

Security

Trust is a design constraint.

Read-only

Scopes your administrator grants, revocable at any time.

Human approval

Nothing acts without a person deciding.

Audit trail

Every conclusion logged with its source signals.

Organization-owned data

Never used to train shared models.

Deployment

Live in a week. Compounding from there.

The first two weeks are setup. Everything after that is the model getting better at the organization it is watching.

  1. Day 1

    Connect

    Your administrator grants read-only scopes. Nothing is migrated.

  2. Week 1

    Calibrate

    NavisLabs builds the first model. We tune priorities with your team.

  3. Week 2

    Operate

    Morning Intelligence begins, and sharpens every cycle.

  4. Week 4

    Review

    Leadership runs its weekly review from one operating picture.

  5. Month 2

    Remember

    Decisions and commitments accumulate into durable organizational memory.

  6. Month 3

    Compound

    The model measurably sharpens what the organization acts on.

Questions

What your review will ask.

Where does our data actually live?

Your data stays in your systems. NavisLabs maintains a derived model inside your deployment, and retention is configurable — including full deletion on request.

Is access really read-only?

Yes. NavisLabs connects through the OAuth scopes your administrator grants and never writes back to your systems. Revoke a scope and ingestion stops immediately.

Do you train models on our data?

No. Your organization's data is never used to train shared or foundation models.

What happens when NavisLabs is wrong?

Every conclusion carries the signals behind it, so you can check the reasoning before acting on it. Nothing acts autonomously, and a person approves anything that leaves the system.

How long does deployment take?

Connection takes a day. The first model is built inside a week, and Morning Intelligence typically begins in week two. There is no migration project.

Which systems are supported today?

Gmail, Google Calendar, Google Meet, Google Drive, Google Docs and Slack are live now. Everything else listed above is on the roadmap, and we will tell you where a system stands before you commit to anything.

Questions? Talk directly with the founders.

A 30-minute working session on your own systems. No slideware, no qualification call first.

NavisLabs is currently deployed with a small group of design partners.