MantisGrowth Labs
MantisPulse · Operating intelligence

Know what changed, why it matters, and what to do next.

MantisPulse is an AI-native intelligence platform built by Mantis Growth Labs. It sits above the systems you already run, is configured around your metrics and definitions, and gives leadership teams answers, early warnings, and evidence-backed recommendations.

Deployed today with a multi-location restaurant group.

§ 01 The problem

Dashboards show what happened.
Someone still has to notice.

Too many places to look

Sales, finance, operations, and customer data each live in their own system and their own report.

Questions arrive late

By the time someone asks why a number moved, the moment to act has often passed.

No one has the time

Connecting signals across the business takes sustained attention that most teams cannot spare.

MantisPulse does that work continuously, in the language of your business.

§ 02 What it does

Ask. Discover. Recommend.

Most tools stop at answering the question you thought to ask. Discover and Recommend are what set MantisPulse apart: it brings forward what changed before anyone asks, and suggests what to do about it, with the evidence attached.

Ask

Explore your business through natural-language questions grounded in your business definitions and data.

Ask the way you would ask a sharp analyst. MantisPulse answers from your data, follows the business rules your team already uses, and shows the supporting data behind each answer.

Restaurant example · illustrative

“Why were same-store sales down at our north-side locations last week?”

Order count was flat. The drop came from a lower average ticket at two of the three locations, driven by a shift toward lower-priced items. Supporting data: item sales by location, last 8 weeks.

Discover

Proactively identify meaningful changes, trends, anomalies, risks, and opportunities.

Between meetings, MantisPulse checks the business for what has changed and what it means, and a weekly brief pulls it together, so your team starts with what matters instead of hunting for it.

Restaurant example · illustrative

Ticket times at Location 12 are up 40% on its usual Friday, and three recent reviews mention slow service. Sales have held so far, so the weekly sales report does not show it.

Recommend

Provide evidence-backed recommendations that help leadership prioritize decisions and actions.

Each recommendation comes with the signals behind it, a suggested owner, and a confidence level, so leaders can weigh it and push back. MantisPulse does not act on its own. People decide and act.

Restaurant example · illustrative

Review kitchen staffing and prep at Location 12 before the weekend. Signals: ticket times, review themes. Suggested owner: Operations. Confidence: medium.

Examples are illustrative and do not use customer data. MantisPulse is deployed today with a restaurant group; the B2B SaaS examples show how the same approach would apply, not a current deployment.

§ 03 How it works

Built on the systems
you already run.

  1. Existing business systems
    • Point of sale
    • Loyalty
    • CRM
    • Finance
    • Data warehouse
  2. Business context and intelligence
    • Your metrics
    • Your definitions
    • Business history
  3. MantisPulse
    • Ask
    • Discover
    • Recommend
  4. Better human decisions
    • Leadership
    • Operators
    • Regular reviews
A conceptual view, not a technical architecture.
01

Connect

MantisPulse reads the data that bears on the decision, such as point-of-sale and loyalty data, through your data warehouse with read-only access. If your data is not yet in one place, we scope that first.

02

Model your business

We set up your metrics, definitions, and business rules, such as what counts as a sale, so answers match the numbers your leadership team already recognizes.

03

Deliver intelligence

Leaders ask questions, review daily signals and a weekly brief on what changed, and weigh recommendations in the meetings they already hold.

§ 04 Built for your business

A consistent approach.
Implemented for your business.

MantisPulse combines a consistent intelligence approach with business-specific implementation.

Consistent across clients
  • The Ask, Discover, and Recommend framework
  • Answers that show the supporting data behind them
  • Recommendations with their evidence, a suggested owner, and a confidence level
  • One engagement path, with success criteria agreed up front
Specific to your business
  • Connections to your data
  • Your metrics, definitions, and business rules
  • The decisions in scope, and what counts as a meaningful change
  • Who sees what, by role and by location

MantisPulse is deployed today with a multi-location restaurant group. Each new implementation is tailored to the customer’s business, data, and decisions.

§ 05 Where it helps

Decisions MantisPulse
is built for.

In production

Multi-location operators

  • Which locations need attention this week, and why?
  • Is repeat business growing or quietly lapsing?
  • What are guests saying about us, and about nearby competitors?
Deployed today with a restaurant group →
Designed for

Finance leaders

  • Where is performance moving, and what is driving it?
  • Which numbers are drifting from plan?
Designed for

Growth and revenue leaders

  • Which customers show early signs of churn?
  • Where are expansion opportunities forming?

Example questions are illustrative.

§ 06 How we work

Start with one decision.
Expand from evidence.

  1. 01

    Decision Diagnostic

    Agree on the decision, check the data, and define what success looks like.

  2. 03

    Ongoing Intelligence Service

    Operate, refine, and expand as the value is demonstrated.

Have a recurring decision worth examining?

Start with one decision →
What MantisPulse is not
  • Not another dashboard tool
  • Not a chat window on a database
  • Not autonomous
  • Not a replacement for your warehouse or CRM
§ 07 Questions

Frequently asked.

Do we need to replace our BI tools or data warehouse?

No. MantisPulse works above them. In our current deployment it reads from the client’s existing data warehouse with read-only access. If your data is not yet in one place, we scope that in the Decision Diagnostic.

How is this different from a dashboard or a chat tool?

Dashboards wait for someone to look. Chat tools wait for someone to ask. MantisPulse also checks the business for what changed, explains it using your definitions, and recommends where to act.

Does MantisPulse take actions on its own?

No. It recommends, with the evidence behind each recommendation. People decide and act.

How do we know the answers are right?

Answers follow your agreed business rules and show the supporting data behind them, so your team can check them. During the pilot we test answers against numbers your team already trusts.

How long does a pilot take?

It depends on the decision and how quickly we can access the data. We scope it in the Decision Diagnostic and agree on timing and success criteria before work begins.

What data do you need, and how is it protected?

Only the data the decision requires, agreed in writing during the Diagnostic. In our current deployment, MantisPulse reads from the client’s warehouse with read-only access, and role-based permissions limit each person to what they should see, such as a store manager seeing only their own locations. Hosting, AI providers, and data retention are agreed for each engagement.

Is MantisPulse a SaaS product?

MantisPulse is an AI-native intelligence platform delivered as a service. We implement it for your business, run it with you, and expand it as the value is proven. There is no self-serve sign-up.

Which industries do you work with?

MantisPulse is deployed today with a multi-location restaurant group, and we are prioritizing multi-location operators. It is designed for data-rich businesses more broadly, and we are glad to talk about others.

What does it cost?

It depends on scope. We agree on pricing after the Decision Diagnostic, once we understand the decision, the data, and the value at stake.

§ 08 Start with one decision

Bring us one
recurring decision.

Tell us about a decision your team makes every week or month and wishes it made better. We will tell you honestly whether it calls for MantisPulse, better data, or neither. Operator to operator.