Applied AI · Mid-Market

The Technology Partner for companies that care about profit, not pilots

We design and build software and AI systems anchored to constraints in process, data and unit economics, the three pillars that decide whether a technology implementation shows up in the P&L.

01

50 +

Companies across 7 countries

02

80 +

Products shipped

03

$100M +

Cumulative P&L impact

Clients

In their own words.

KalPay

Head of Operations

The diagnostic found the constraint in our data, not our software. The build that followed was half the scope we had budgeted.
Read the KalPay case study

Musavir AI

Arslan, CEO

Senior engineers from the first call to the last release. There was no handover, and nothing was lost in one.

AHW Global

Jordan, United States

KalTech has been a valued partner for us this past year. They have provided intelligent solutions for our needs.
Read the AHW Global case study

Balloons

Mr. Alsulaiman, Founder, Saudi Arabia

KalTech helped us scale from 100 to 10,000+ leads without changing our ops headcount. Their speed, UX, and automation changed the game.

Muawin

Hashim, Co-founder, Pakistan

KalTech developed a robust, AI-enhanced loan management platform for us. Their ability to integrate intelligent automation helped us streamline decision-making and launch faster.

Teams we have built and shipped for

  • Graana.com
  • G42
  • Hyring
  • KalPay
  • MayfairTech.ai
  • Shyppr
  • The Guild
  • Crytical

Our Method

Most companies commission a solution before the constraint has been identified.

A brief specifies a solution that has already been chosen. It rarely establishes that the solution addresses the constraint the business is actually operating under. KalTech identifies that constraint first, across process, data and unit economics.

01

Process

Is this a process, or a habit?

Software applied to undefined work produces an unreadable result. We establish whether the work, and the systems it currently runs through, are specified tightly enough to be encoded before anything is scoped.

We ask: Could two people perform this work and produce the same result?

02

Data

Would two systems agree on this number?

Most integration failures are definitional rather than technical. We establish whether the business holds one definition of a customer, an order or a case, or several definitions that disagree.

We ask: Could two systems answer the same question and return the same number?

03

Unit Economics

Does the build clear its own cost at this volume?

A system carries a maintenance cost that is rarely priced at scoping. We establish the volume at which it pays for itself, and whether the business operates above that line.

We ask: What does this cost to run in year two, and at what volume does it clear it?

Every engagement begins with a diagnostic.

The diagnostic runs against the three lenses. It ends in a written finding and a scope priced against it. Companies that proceed to a build do so with the constraint already established. Companies that do not proceed keep the finding.

How the diagnostic works

01

Diagnostic

Companies with a functioning business and a specific commercial problem.

02

Written finding

  • The binding constraint
  • What it costs
  • What can be built
  • The P&L line and the volume

03

Scope

Nothing built

Sometimes the finding is that nothing should be built. We deliver that as readily as any other.

Start Here

Start with the question, not the brief.

For companies operating above $1M in revenue with a specific commercial problem.

A 30-minute call. You describe what you are considering building. We tell you which of the three lenses we would run it through first, and whether we are the right firm for it. No fee, no deck, no follow-up sequence.

Get an AI Strategy Consult
  • 0130 Minutes
  • 02No Fee
  • 03No Deck