Explore your business through plain-language questions. Answers use your definitions and your data, and show the supporting data behind them.
Example · illustrative
“Which locations had the biggest drop in repeat guests last month, and why?”
Operating intelligence
Better decisions from the systems you already run.
Mantis Growth Labs builds MantisPulse, an AI-native intelligence layer that sits above your existing data. Leaders ask questions in plain language, see what changed before anyone thinks to ask, and get evidence-backed recommendations on where to act. Each deployment is set up around how your business actually runs.
Ask “Why did sales slip in the North region last week?”
Two of nine locations account for most of the drop. Both had fewer orders, while average
ticket held steady.
Discover Location 12: ticket times up 40% on its usual Friday Three recent reviews mention slow service. Sales have held so far.
Recommend Confidence: medium
Review kitchen staffing and prep at Location 12 before the weekend.
An illustrative example. Not customer data.
In use
at a multi-location
restaurant group
restaurant group
20+ years
building operating and data systems
in data-rich businesses
in data-rich businesses
No rip and replace
works above the systems
you already run
you already run
§ 01 The problem
Your business has more
data than judgment.
Data lives across point of sale, CRM, billing, finance, delivery, and operations systems. Dashboards describe pieces of the business. AI tools answer isolated questions.
Someone still has to notice what changed, connect it to the rest of the business, decide whether it matters, and work out what to do. In most companies that work happens late, by hand, in the hours before a leadership meeting.
Data and dashboards do not make decisions. The gap between information and action is where MantisPulse works.
§ 02 MantisPulse
Meet MantisPulse.
Ask. Discover. Recommend.
MantisPulse is operating intelligence for leadership teams. It connects to the systems you already run, is configured around your metrics and definitions, and turns them into three things leaders can use every week.
MantisPulse looks for meaningful changes, trends, anomalies, risks, and opportunities, and brings them forward before anyone thinks to ask.
Example · illustrative
“Loyalty visits at three suburban locations have fallen for five straight weeks.”
Evidence-backed recommendations that help leadership decide where to focus, each with a suggested owner. Your team makes the call.
Example · illustrative
“Review kitchen staffing at Location 4 before the weekend.”
- Existing business systems
- Point of sale
- Loyalty
- CRM
- Finance
- Data warehouse
- Business context and intelligence
- Your metrics
- Your definitions
- Business history
- MantisPulse
- Ask
- Discover
- Recommend
- Better human decisions
- Leadership
- Operators
- Regular reviews
§ 03 In practice
Deployed today with a
multi-location restaurant group.
Multi-location restaurants Client deployment
From scattered restaurant data to a clear read on every location.
The first MantisPulse deployment brings a restaurant group's operating data into one place. Leaders ask questions about the business in plain English, see which locations need attention and why, and start each week with a brief on what changed, without waiting for month-end.
Data it reads
Point-of-sale and loyalty data from the group's own warehouse, plus public reviews of its locations and nearby competitors
What leaders get
Plain-English answers with the supporting data, daily signals, a weekly brief, and recommended actions with a suggested owner
Who uses it
Leadership across the group, and store managers scoped to their own locations
§ 04 How we work
Start with one decision.
Expand from evidence.
Every engagement follows the same path. We start narrow, agree on what success looks like, and expand only when the value is clear. When the honest answer is cleaner data, or a decision someone simply has to make, we say so.
Which locations need intervention? Is repeat business growing or lapsing? What are guests telling us? Which customers are at risk?
01 Understand
Decision Diagnostic
Understand the business problem, the recurring decisions behind it, the data you already have, and what better decisions would be worth.
- The decision and who owns it
- Data and system readiness
- A clear recommendation: pilot, fix the data first, or stop
02 Prove
MantisPulse Pilot
A focused MantisPulse implementation for one decision area, on your data, with success criteria agreed before work begins.
- Connected to the systems you already run
- Set up around your definitions
- A written readout against the agreed criteria
03 Expand
Ongoing Intelligence Service
We operate, refine, and expand MantisPulse as the value is demonstrated, adding decision areas and users over time.
- Ongoing operation and refinement
- New decision areas as they are earned
- Regular reviews with leadership
Not every engagement needs MantisPulse. We also take on a small number of advisory engagements on data, operations, and practical AI.
Have a recurring decision worth examining?
Start with one decision →§ 05 The company
Operator-led. Built on twenty
years of operating reality.
Mantis Growth Labs was founded by Abhay Taiwade, a B2B SaaS executive and data operator with more than 20 years connecting business systems, customer behavior, go-to-market execution, and financial performance.
Across that career he has built operating and intelligence systems inside scaling SaaS companies, and led data and analytics at two companies with a combined $680M in exits. Mantis Growth Labs brings that experience to leadership teams through MantisPulse and selective advisory work.
Useful AI takes more than a model. It needs the right signals, business context, a clear
decision, and a path to action.
Founder
Abhay Taiwade
§ 05.1 Who we work with
Data-rich businesses where decisions still run on fragmented information.
Multi-location operators
CEOs, CFOs, and COOs
Operations and finance teams
Leadership teams whose AI pilots stalled at chat
§ 06 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.