Business-led data, AI and technology solutions
Intelligence your business can run on.
We build the data, analytics and AI systems that established businesses need to make better decisions — and we stay accountable until they are trusted and used.
The problem
Your business has scaled. Has your decision infrastructure scaled with it?
Established businesses outgrow their reporting, data and decision systems in the same six places.
- 01
Excel runs the business
Management reporting depends on spreadsheets maintained by a few people.
- 02
Reports take days
Month-end MIS and consolidation are slow, manual and hard to trust.
- 03
Systems do not talk to each other
ERP, CRM and operational data sit in separate places.
- 04
One question, three answers
Departments define and calculate the same KPI differently.
- 05
Forecasts rest on judgement
Demand, revenue and cash projections are not modelled.
- 06
Exceptions surface late
Leakage, delays and quality problems are found after the fact.
The wider evidence
70%
of digital transformations miss their objectives (BCG, 2020)
45%
average overrun on large IT projects, with 56% less value delivered than promised (McKinsey and University of Oxford, 2012)
$12.9M
average annual cost of poor data quality per organization (Gartner, 2020)
Sources: Boston Consulting Group (2020); McKinsey & Company and University of Oxford (2012); Gartner (2020).
What we do
We build the data, analytics and AI systems that established businesses need to make better decisions.
PharaohTech is a business-led data, AI, analytics and technology solutions company, founded by engineers who have built these systems inside global organizations. We work at the point where a management question meets enterprise data, and we take responsibility for the answer being trusted, timely and acted upon.
Business + Data + Analytics + AI + Technology + Execution
Technology is the means. Business performance is the objective.
Who we help
Established, growing businesses whose growth has outpaced their reporting, data and decision systems: promoter-led groups, professionally managed companies and business units of larger enterprises. Our counterparts are promoters, CXOs and business-unit heads.
Where we focus
Hotels, hospitality and travel; construction, infrastructure and real estate; transportation and logistics.
What we solve
Fragmented data, slow reporting, unreliable forecasting, manual reconciliation, late-surfacing exceptions, and AI ambitions without an implementation path.
How we work
Start with the business decision. Build the trusted data behind it. Apply analytics and AI where they change the outcome. Stay accountable through adoption.
Team experience
What our team has built before.
Delivered by PharaohTech's founders in prior roles. Not PharaohTech client engagements.
Where we create value
Five places where data and AI change business economics.
Revenue and margin
- What we build
- Revenue Intelligence, Customer 360, pricing and retention analytics
- Data we connect
- CRM, billing and transactions, web and service interactions
- What management gets
- Revenue drivers, leakage, pricing opportunities and at-risk customers reviewed weekly, not discovered at quarter end.
Every row starts with a decision your managers already take. We change the information it rests on, then the speed, then the effort.
From data to business performance
The value is not in the data. It is in the decisions the data improves.
Each step is a management capability, not a technology milestone.
Step 1: Fragmented data
Multiple systems, multiple versions of the truth.
Step 2: Trusted information
One governed set of numbers everyone uses.
Step 3: Business intelligence
Performance visible in one place, in time to act.
Step 4: Prediction
Know what is likely to happen, not only what did.
Step 5: Automation
Routine reporting and reconciliation run without people.
Step 6: AI-assisted decisions
Options, exceptions and recommendations surfaced to managers.
Data becomes intelligence. Intelligence informs a decision. The decision triggers an action. The action produces an outcome we can measure. Every engagement is judged on that outcome, not on the dashboard.
Industries
Three sectors first. Three where our team has worked.
- Hotels, hospitality and travelWhat is changingOccupancy and rates at decade highs; margin now depends on rate discipline, guest retention and cost controlWhere we helpRevenue and occupancy intelligence, guest 360, operations cost, owner reportingPriority
- Construction, infrastructure and real estateWhat is changingRecord public capital expenditure; margin lost to delay, rework and late cost visibilityWhere we helpProject and cost intelligence, schedule risk, procurement, cash flow, site visionPriority
- Transportation and logisticsWhat is changingLogistics cost under pressure to fall; empty running and leakage still commonWhere we helpControl tower, fleet and route intelligence, predictive ETA, freight profitabilityPriority
- Life sciences and pharmaWhat is changingCommercial and reporting teams need governed, fast data across many sourcesWhere we helpCommercial data foundation, governed self-service analytics, modernizationTeam experience
- Private equityWhat is changingPortfolio data still collected by email and reconciled by handWhere we helpPortfolio monitoring warehouse, automated data quality, LP and IC reportingTeam experience
- TelecommunicationsWhat is changingCustomer and network data split across systems, often after mergersWhere we helpUnified customer data model, churn and revenue assuranceTeam experience
How to start
Data and AI Opportunity Assessment
Four to six weeks. Fixed scope and fee, agreed before we start. It ends with a decision, not a sales meeting.
Weeks 1 to 2
Discover
Interviews with the promoter, CFO, COO and business-unit heads; inventory of systems, reports and the spreadsheets that hold them together; read-only access to the main data sources.
Weeks 3 to 4
Diagnose
Data quality profiled; KPI definitions reconciled across departments; manual effort and decision gaps mapped; two or three quick wins tested on your own data.
Weeks 5 to 6
Decide
Use cases ranked by value and feasibility; target architecture and a phased roadmap with indicative investment; go or no-go, with no obligation to continue.
What we need from you
- Six to eight hours of leadership time across the six weeks
- Read access to your main systems
- One coordinator from finance or IT
What you will have at the end
- A ranked list of where data and AI will pay back first
- A roadmap and an indicative number for each phase
- A working example on your own data, not a slide
Founders on every engagement
The people who scope the work build it. No handoff to a bench.
A fixed-scope first phase
A defined assessment before any platform commitment.
Measured against business KPIs
Success is defined with management before we start.
Start with one decision.
Bring us one decision your business makes badly for want of data. In a 45-minute conversation we will tell you whether we can fix it, how, and what it would take.
Book a 45-minute conversation- Abhinav Yadavabhinav.yadav@pharaohtechsol.com
- Shubham Goyalshubham.goyal@pharaohtechsol.com