EN

Visual journey: the KheprAI cube floats in space; below, a plain at night lights up with the lights of humankind, from the first fire to AI; the cube comes down to the horizon, glows and the sun rises behind it; on white, the curve of progress shoots towards the future beside the Earth as a blueprint; a white flash turns out to be the sun, and the camera skims over the Earth at dawn and pulls away until it is seen whole.

The KheprAI cube floats in space and turns slowly. A golden light rises from outside the frame and lights it up.

Business consulting, with AI from end to end.

We design and implement AI-powered strategies.

We apply AI where it earns its place.

We study each challenge and solve it with technology when the impact can be proven, within reasonable time and risk, as part of a plan that makes business sense.

A graphite plain at night, with a single fire on the horizon.

That point of light is not a star.

It’s fire. We lit it long ago.

FIRE400,000 BC

The same plain, lit to the horizon by the lights of humanity.

+396,800 years later

We gave memory to the word.

WRITING · URUK, MESOPOTAMIA · C. 3200 BC

+3,828 years later104× faster than the first leap

We gave a number to nothing.

ZERO · BRAHMAGUPTA, INDIA · 628

+822 years later483× faster than the first leap

Knowledge learned to multiply.

PRINTING PRESS · GUTENBERG, MAINZ · C. 1450

+319 years later1,244× faster than the first leap

We turned fire into power.

STEAM ENGINE · JAMES WATT · 1769

+113 years later3,512× faster than the first leap

With that power, we lit up the night.

ELECTRICITY · PEARL STREET, NEW YORK · 1882

+89 years later4,458× faster than the first leap

Sand learned to count.

SILICON · THE FIRST MICROPROCESSOR · 1971

+46 years later8,626× faster than the first leap

The machine learned to pay attention.

TRANSFORMER · GOOGLE BRAIN · 2017

+5 years later79,360× faster than the first leap

The machine already pushed. Now it thinks.

AI FOR EVERYONE · 2022

AI is already on every agenda.

  • The boardasks what is being done about it.
  • Teamsalready use it, each in their own way.
  • Vendorsoffer pilots that never reach production.

The advantage lies with whoever puts it in order first.

Three principles drive the change.

  1. I Work tools

    Every person achieves more.

    Taking notes, analysing, planning, writing reports, coordinating a team, coding: AI multiplies the volume and complexity each person can handle.

  2. II Products

    Software sees, hears, speaks and creates.

    Agents that serve customers and get things done, vision that inspects, generated images, video and documents. What was not viable before is being built today.

  3. III Decisions

    Systems reason and decide.

    What once required hundreds of fixed rules, such as approving a loan or prioritising a case, is now handled by a model that follows criteria and explains why.

This is the renaissance of the digital age.

The chance to rethink how every company produces: with technology as the muscle and the business as the guide.

In ancient Egypt, Khepri is the scarab that pushes the sun over the horizon every morning. His name means “to come into being”: he is the god of rebirth.

Hence, KHEPRAI.

The cube comes down from above and settles on the horizon. It glows, fades, and the sun rises behind it.

Gold runs down the edges of the cube and continues as three lines of fire across the ground.

Business × AI

We think about AI from the business side.

We start with where money is made or lost, not with the tool. We look for a fast, measurable first impact that proves the path, lowers the risk and opens the way for everything that follows.

To see companies through this revolution, we have a formula.

Our method

Akhet

In ancient Egypt, the horizon where Khepri lifts the sun every morning. It was the name of the Great Pyramid: a horizon built block upon block.

Our method · Akhet

  1. We go into your company: business, numbers, processes, data, team and constraints. We talk to the people who decide and to the people who operate. We come out with a map of opportunities ranked by value, feasibility and risk.Understand
  2. With your leadership we choose what comes first, what doesn’t happen, how it is measured and what has to be true to continue. It goes in writing: scope, metrics, owners and investment.Decide
  3. We implement in your real operation, with your data and your people: agents, automations, custom tools and integrations. We measure against the baseline from day one.Build
  4. What works is extended; what doesn’t is cut. Your team stays in control: trained, with documentation, usage rules and criteria to decide what comes next.ScaleProgress that accelerates.

How we execute

Every step on solid ground.

  1. 01Business alignment.Every initiative answers to a leadership objective.
  2. 02Provable viability.First, what we can prove with contained risk.
  3. 03Measured expectations.We promise what the data supports.
  4. 04Data-driven decisions.The plan and the numbers decide; intuition proposes.
  5. 05Traceable progress, step by step.Each stage leaves a clear foundation and the criteria for the next step.

What we deliver

Results, and everything that makes them possible.

  • Diagnosis and opportunity mapWhere AI moves revenue, costs, time or risk in your company, and what each opportunity is worth.
  • Strategy and roadmapPriorities, sequence, investment and metrics, agreed with leadership.
  • Solutions in productionAgents, automations, custom tools and integrations with your systems.
  • Data in orderSources identified, cleaned and migrated where needed.
  • Rules and securityResponsible use, access, privacy and quality control of the models.
  • A team that carries on aloneYour people run, measure and improve it without depending on us.

How we measure ourselves

  • Revenue

    What we focus onConversion, ticket size, retention, new channels

    What we assessSales history and customer data

  • Costs

    What we focus onHours per process, cost per transaction, errors

    What we assessBaseline for each process

  • Speed

    What we focus onResponse time, decision cycle, time to market

    What we assessHow times are measured today

  • Risk

    What we focus onCompliance, quality, dependence on key people

    What we assessCurrent controls and exposure

The greatest danger in times of turbulence is not the turbulence; it is to act with yesterday’s logic.

PETER DRUCKER · 1980

Where we come in

  1. 01When there is pressure around AI and no plan.
  2. 02When pilots don’t reach production.
  3. 03When growth demands a structure that doesn’t exist yet.
  4. 04When a process is costly, slow or depends on a few people.
  5. 05When there is too much data and too few decisions.
  6. 06When you have to decide where to invest and where not to.

Who we are

Two partners, two careers, one complementary axis.

KheprAI is a business and technology strategy consultancy, founded by two partners who complement each other: one comes from business and marketing; the other, from engineering.

Business & marketing

  1. Two decades of marketing and business in consumer-goods multinationals and regulated markets.
  2. Entry into new markets and distribution at scale in Latin America.
  3. Strategic and brand marketing, commercial expansion and investor relations.

Technology

  1. Software in production since 2009.
  2. Co-founder and CEO of a digital health software studio.
  3. An AI assistant that serves more than 15,000 patients a month.
  4. Software that raised a global pharmaceutical company's revenue by almost 15%.

Together, from diagnosis to operation.

Clients

Companies that gave us a voice in their AI strategy.

  • Bricons
  • Bonest
  • Estudio Foglia
  • Baratocaro
  • Zohan
  • Master Metrics

A chart of world output over 400,000 years: a line almost flat for millennia rises over the last two centuries; past today it continues as a projection, drawn like a blueprint, until it turns vertical.

HUMAN PROGRESS · 400,000 YEARS

The acceleration of AI opens up new possibilities.

Estimated gross world product, to scale. Sources on the legal page.

KheprAI Labs

We explore them in our lab.

KheprAI Labs

KheprAI Labs is our AI implementation lab: we research how to get the most out of every new technology. What works makes its way into our clients’ projects.

  • New ways of workingMethods and processes designed for teams that work with AI every day.
  • Application techniquesNew ways of using AI, tested in-house before we bring them to a client.
  • ToolsTo create, analyse, migrate and operate faster. Some of them open source.
  • Multi-agent systemsProtocols that let agents communicate, and scaffolding that gives them advanced cognitive capabilities.
  • DripshippingWe launch kiosks with a single, simple offer: drips. Each one puts our fundamentals to the test with a real product that sells.
  • The workshopCustom solutions for each client’s challenge: adapting data, migrating fast, opening up new uses with real results.

We explore the new possibilities of this new world.

Interested in our initiatives?

Visit the lab

How we work

We care that you choose us.And we choose with the same care.

You already know how we work. Now we want to hear about your case.

How we work

Two projects at a time, at most.

We look for power and depth. We lead the operation and get it done, and if we bring in more people, we lead them up close.

Commitments and schedule

Availability
Fully booked
Submissions
Open
Start
Approximate wait: two months
Preliminary answer
Within minutes: our AI assesses it
Final answer
Within 48 hours, with human review
SectorAt the table
01 TakenHydrocarbonsUnited States · Middle East · Argentina
02 TakenInvestmentsFamily office · Investment committee

Our AI receives every submission in strict confidence. We supervise it, train it and widen its scope in a controlled way.

Submissions are processed on cloud servers with privately run models, under strict standards of confidentiality and information security.

AI is already inside your company.
We can lead it.

A white flash turns out to be the surface of the sun, seen very close. The camera pulls back and the sun is left behind, in space.

The camera skims low over the Earth at night as the sun peeks over the horizon; it pulls away, the Moon appears and then the whole planet, with human activity: cities, roads, aircraft, ships and satellites.

Let’s build what comes next.

We work with companies determined to lead AI, not chase it.

Submit your case

We both read it. We reply if we see we can help you, and if we don’t, too.

  1. 1 You
  2. 2 The case
  3. 3 At the table
  4. 4 Confirmation

If someone recommended us, tell us who.