ORQAI logoORQAI

Brand system

Version 1.0

One brand, used consistently.

This is the working reference for anyone producing ORQAI material — decks, proposals, one-pagers, social posts or product surfaces. It covers the identity, the tokens the website already uses, the language we hold ourselves to, and the approved copy for our core sales collateral.

What the brand stands for

Every piece of ORQAI material should leave the same impression: a serious, practitioner-led financial technology company that builds things rather than talks about them.

Brand essence

Financial intelligence, engineered.

Positioning

ORQAI is a Kenya-rooted, product-led financial intelligence company. We build data platforms, quantitative decision systems and AI-enabled workflows for African investors and financial institutions — and advise on the strategy, governance and capability needed to adopt them well.

Promise

We turn fragmented financial information into systems people can actually use, and we say plainly what those systems can and cannot do.

Considered

Measured, specific and unhurried. We would rather be precise than loud.

Practitioner

We speak from delivery experience — systems, data, controls and teams — not from theory.

Institutional

The tone a treasury desk, risk committee or regulator would find credible.

Grounded in Africa

Built for local market realities: fragmented data, evolving regulation, mobile-first users.

Colour

Navy carries authority, blue carries action, and everything else stays quiet. Teal is a signal colour, not a brand colour — it belongs to the mark and to rare emphasis.

#19386B

Brand Navy

--brand

Header, hero panels, dark sections, primary headings on light

#2A5088

Brand Soft

--brand-soft

Gradient partner to navy, secondary dark surfaces

#4A6FA3

Brand Muted

--brand-muted

Card accents, rules, quiet supporting marks

#3B82F6

Action Blue

blue-500

Primary buttons and interactive emphasis only

#60A5FA

Action Blue Hover

blue-400

Hover and focus state for primary actions

#0EA5B5

Signal Teal

mark only

The signal point in the mark. Never a fill or a background

#0F172A

Ink

--foreground

Headings and primary body text

#475569

Muted Ink

--muted

Body copy, descriptions, secondary text

#FFFFFF

Surface

--surface

Cards, panels and content surfaces

#F8FAFC

Canvas

--background

Page background behind all content

#DBE4EE

Border

--border

Card edges, dividers and hairlines

Rules

  • Keep body text at Ink or Muted Ink. Navy is for headings and surfaces, not paragraphs.
  • One Action Blue button per view. A second primary button weakens both.
  • No new gradients, no purple, no neon. Depth comes from navy tints and soft shadow, not colour.
  • Text on Brand Navy is white or white at 80%. Nothing dimmer.

Typography

Geist Sans carries everything. Geist Mono is reserved for indices, tokens and data labels — it signals precision, so overusing it cheapens the effect.

Financial intelligence, engineered.

text-4xl sm:text-5xl font-semibold tracking-tight

Display

Geist Sans Semibold · 40–56px · tight tracking

Hero headline. One per page.

Financial intelligence, engineered.

text-3xl sm:text-4xl font-semibold tracking-tight

Section heading

Geist Sans Semibold · 28–36px · tight tracking

Section openers

Financial intelligence, engineered.

text-lg font-semibold

Card heading

Geist Sans Semibold · 18–20px

Card and list item titles

Financial intelligence, engineered.

text-lg leading-8 text-slate-600

Lead paragraph

Geist Sans Regular · 18px · 1.75 line height

Section intros, hero body

Financial intelligence, engineered.

text-base leading-7 text-slate-600

Body

Geist Sans Regular · 16px · 1.75 line height

Descriptions and running copy

Financial intelligence, engineered.

text-xs font-semibold uppercase tracking-[0.1em]

Eyebrow

Geist Sans Semibold · 12px · uppercase · 0.1em tracking

Section labels above headings

Financial intelligence, engineered.

font-mono text-sm

Meta / index

Geist Mono · 12–14px

Step numbers, tokens, data captions

Rules

  • Body copy caps at roughly 70 characters per line. Use a max-width, not manual breaks.
  • Sentence case for headings. Title Case only for proper product names.
  • One eyebrow per section, and only when it adds information the heading does not.
  • No italics for emphasis. Restructure the sentence instead.

Voice and language

We are selling judgement in a regulated context. Overclaiming costs us more than it wins, so the language stays concrete and the limits stay visible.

Lead with the outcome

Open with what the reader gets, then explain how. Never open with a description of ourselves.

Name the specific thing

Fixed-income pricing, portfolio monitoring, document analysis. Not solutions, offerings or capabilities in the abstract.

Keep the controls visible

Where AI is involved, say what a human reviews and what is out of scope. Controls are a selling point, not a disclaimer.

Claim only what we have delivered

No invented client names, no numbers we cannot evidence, no implied licences we do not hold.

Words we use

product-ledpractitioner-leddecision supportcontrolled adoptionpermissioned datahuman-reviewedimplementation-readygovernance-awareinstitutional-grade thinking

Words we do not

revolutionise your businessunleash AItransform everythingautonomous enterprisecutting-edge AI solutionsguaranteed returnsworld-class, best-in-class, game-changing10x, supercharge, turbocharge

Claims we never make

  • Never imply ORQAI is a licensed investment adviser, auditor, security auditor or legal adviser.
  • Never present ORQAI Invest content as personalised investment advice or a return forecast.
  • Never publish consulting prices, confidential client names or unapproved engagement detail.
  • Demonstrations use synthetic, anonymised or explicitly approved information — say so wherever they are described.

Imagery and motion

Photography should look like the rooms our clients actually work in. Illustration is a last resort.

Use

  • African financial and technology professionals at work, shot naturally
  • Real environments: trading desks, meeting rooms, Nairobi context
  • Calm, even light with soft depth of field
  • Navy scrim or gradient behind any text placed on an image
  • Screenshots and interface details where we can show real work

Avoid

  • Robots, humanoid AI, glowing brains or neural-network wallpaper
  • Neon circuitry, matrix grids and purple technology gradients
  • Generic stock handshakes, arrow-up charts and skyline clichés
  • Heavy filters, duotones or high-saturation colour grading
  • Flag imagery or literal maps of Africa as decoration
Reference example of ORQAI photography: a financial team working in natural light

Motion

  • Reveal on scroll: short fade with a small upward shift, ease-out, under one second.
  • Hover states change colour and border, never scale or bounce.
  • The soft hero wave is the one signature flourish. Do not add a second.
  • Everything respects prefers-reduced-motion and degrades to no animation.

Approved messaging

Lift these verbatim. If a channel needs something shorter, cut from the end rather than rewriting the opening.

One-liner

Financial intelligence, engineered.

Elevator — 30 words

ORQAI is a Kenya-rooted financial intelligence company. We build data platforms, quantitative systems and AI-enabled workflows for financial institutions, and advise on how to adopt data and AI responsibly.

Boilerplate — press and profiles

ORQAI Limited is a Kenya-rooted, product-led financial intelligence company. ORQAI builds data platforms, quantitative decision systems and AI-enabled workflows that help banks, insurers, asset managers, SACCOs and fintechs turn fragmented financial information into practical decision support. Alongside its institutional systems, ORQAI provides practitioner-led consulting on data and AI strategy, responsible governance and security, and training that builds internal capability. ORQAI Invest extends the same thinking to individual investors.

Institutional solutions

Treasury, quant and market data systems built for real-world use.

Consulting and training

Data and AI strategy for institutions moving from experimentation to controlled adoption.

ORQAI Invest

Institutional-grade market thinking, made accessible to individual investors.

Credibility line

Built for banks, insurers, investment firms, regulators and financial-market participants.

One-pager copy

The standing company overview, sized for a single A4 page at 11pt with the lockup at the top and the contact block at the foot. Copy is final — set it, do not rewrite it.

ORQAI

Financial intelligence, engineered.

A Kenya-rooted, product-led financial intelligence company building data platforms, quantitative decision systems and AI-enabled workflows for African investors and financial institutions.

African financial markets are becoming more digital, but most institutions still run on fragmented information — data scattered across spreadsheets, PDFs, vendor portals and disconnected systems. ORQAI closes that gap by building the platforms, analytics and workflows that turn scattered financial information into decisions teams can defend.

What we do

Financial data platforms

Collect, structure and distribute market, issuer, macro and alternative data through one permissioned layer with clear lineage.

Treasury and quantitative systems

Pricing, fixed-income analytics, portfolio monitoring, risk and forecasting tools for teams responsible for capital allocation.

AI-enabled financial workflows

Document analysis, research assistance and decision support built with human review, access controls and auditability designed in.

Consulting and training

Practitioner-led advice on data and AI strategy, responsible governance and security, plus the capability building teams need to own it.

Why ORQAI

Finance-native

Built with financial context — instruments, risk, controls and workflow — not generic software patterns.

Product-led

Advice connects to durable systems. We prefer working platforms over reports that never become software.

Governed by design

Permissioned data, human review and audit trails are part of the build, not retrofitted afterwards.

Rooted in the market

Designed for African data realities, evolving regulation and the institutions that operate inside them.

Who we serve

Banks and insurers · Asset managers and investment firms · SACCOs and financial cooperatives · Fintechs and market-infrastructure teams · Risk, compliance and data offices · Professional-services and knowledge-intensive firms

Ways to start

  • Data and AI readiness assessment — establish the current position and the opportunities worth pursuing.
  • Executive or team AI workshop — see current capability and its limits against your own workflows.
  • Platform or analytics build — scope a data, treasury or quantitative system against a defined use case.

If you are deciding what data and AI should actually mean for your organisation, we can help you establish where you stand, what is worth building and how to govern it.

Talk to ORQAI

info@orqai.io+254 14 2043760orqai.io

ORQAI Limited is a technology company. It is not a licensed investment adviser, auditor or legal adviser, and nothing in this document constitutes investment advice.

Layout notes

  • Lockup top-left, Version and date bottom-right in Geist Mono 8pt.
  • Navy band across the top holding the title and subtitle in white.
  • What we do as a four-cell grid; Why ORQAI as a single row of four short columns.
  • Contact block on Canvas with a hairline rule above it.
  • No photography. The page stays typographic.

Variants

Institutional solutions
Replace What we do with the four institutional capability areas and swap the opening for the fragmented-systems problem statement.
Consulting and training
Replace What we do with the four consulting areas, and replace Starting points with the typical engagements and indicative durations.
ORQAI Invest
Replace Who we serve with the individual-investor audience and add the education and suitability disclaimer beneath the footnote.

Capability deck outline

Twelve slides for a first institutional conversation, roughly twenty minutes with room for discussion. Slides 5 to 8 are the modular section — keep the two that match the audience and move the rest to the appendix.

Deck rules

  • One idea per slide. If it needs two, it is two slides.
  • Slide headline states the point; the body evidences it. Never a bare noun as a title.
  • No prices, no confidential client names, no unapproved logos.
  • Every AI slide names the human review step.
  • Maximum six bullets per slide, maximum twelve words each.
  1. 01

    ORQAI — financial intelligence, engineered

    Establish who is in the room and what we do in one line.

    • Lockup on Brand Navy, positioning statement beneath
    • Audience name and date, no agenda slide

    Full-bleed navy title slide

  2. 02

    Financial information is fragmented, so decisions are slow

    Name the problem in the client's own terms before selling anything.

    • Data scattered across systems, spreadsheets and PDFs
    • Manual research and reconciliation absorbing analyst time
    • Limited analytical infrastructure for local instruments
    • AI pilots that never reach production

    Four quiet stat or symptom cards

  3. 03

    We build the systems that close that gap

    Position ORQAI as product-led rather than advisory-led.

    • Product-led financial intelligence company, Kenya-rooted
    • Reusable platforms first, bespoke work where integration demands it
    • Advice connected to systems that outlast the engagement

    Short paragraph plus the three-part position line

  4. 04

    Four capabilities, one intelligence layer

    Give the audience the map before the detail.

    • Financial data platforms
    • Treasury and quantitative systems
    • AI-enabled workflows
    • Consulting, governance and training

    Capability mosaic — the homepage grid, reused

  5. 05

    One permissioned layer for market, issuer and macro data

    Detail the data platform for data and technology audiences.

    • Ingestion across market, issuer, macro and alternative sources
    • Structuring, quality checks and lineage
    • Access controls and distribution via dashboards and APIs
    • Integration with existing core and reporting systems

    Layered stack diagram

  6. 06

    Pricing, risk and portfolio analytics teams can defend

    Detail quantitative systems for treasury and investment audiences.

    • Fixed-income and money-market pricing
    • Portfolio monitoring and performance analytics
    • Risk, exposure and scenario views
    • Forecasting and capital-allocation support

    Interface detail or analytics screenshot

  7. 07

    AI that supports judgement rather than replacing it

    Show applied AI with the controls attached — the credibility slide.

    • Document analysis, retrieval and research assistance
    • Drafting and summarisation with structured outputs
    • Human review at every decision point
    • Access control, logging and auditability throughout

    Workflow line with a human-review checkpoint marked

  8. 08

    From experimentation to controlled adoption

    Position consulting and training for leadership audiences.

    • Data strategy and readiness
    • AI strategy and opportunity portfolio
    • Responsible AI, governance and security
    • Adoption, operating model and capability building

    Four consulting cards

  9. 09

    How we work

    Reduce delivery risk by showing a legible method.

    • Understand the decision the system has to support
    • Establish data foundations and controls
    • Build the platform, analytics or workflow
    • Deploy with users, validate outputs, iterate

    Four-step process row

  10. 10

    Why ORQAI

    Differentiate against global vendors and generalist consultancies.

    • Finance-native rather than generic software
    • Engineering depth alongside quantitative grounding
    • Governance and security designed in from the start
    • Built for African market and regulatory realities

    Four short columns

  11. 11

    Ways to start

    Make the next step small and concrete.

    • Readiness assessment — 4 to 6 weeks
    • Use-case sprint — 2 to 4 weeks
    • Executive or team workshop — half-day to multi-day
    • Scoped platform or analytics build

    Engagement cards with indicative durations only, never prices

  12. 12

    Next steps

    Close with a specific proposed action, not a thank-you.

    • The one thing we are proposing to do next
    • Named contact, email, phone and site

    Navy closing slide matching slide 01

Appendix — carry, do not present

  • Detailed architecture and integration view
  • Responsible AI and security control set
  • Sample analytics outputs on synthetic data
  • Team profiles and delivery experience
  • Indicative engagement structures and assumptions

Collateral to hold

The working set. Everything here draws on the tokens and copy above, so a change to the brand system should propagate to all of it.

Identity

  • Logo pack: lockup and icon in SVG and PNG, navy and white knock-out
  • Favicon and app icon set
  • Colour and type token sheet for designers and developers

Sales

  • Company one-pager plus the three variants
  • Capability deck, twelve slides with appendix
  • Proposal and statement-of-work template
  • Email signature block

Digital

  • LinkedIn banner and post templates
  • Open Graph and social share cards
  • Insight and article header template
  • Webinar and event slide template

Internal

  • Document and report template
  • Client-facing memo template
  • Approved claims and disclaimer library

Need a version of something here?

If you are producing ORQAI material and the guidance does not cover your case, ask before improvising — it is faster than correcting it later.

Talk to ORQAI