Payments infrastructure, AI-powered acquisition, and local intelligence systems — built for businesses scaling across the UK and EEA.
End-to-end merchant acquiring, banking infrastructure, and payments consulting — for businesses that need a partner who knows the industry from the inside.
Discovery Engine for batch prospecting. AI-powered outreach campaigns. Local, offline AI that turns any business into a publisher. Three clients live in production.
KỌFI sponsors Malmö Basketamatörer and the European Women Payments Network — two communities, one mission.
Tell us what you're working on. We'll handle the rest.
Two service lines. One consultancy that's been inside the platforms, the regulated infrastructure, and the pipelines — and knows exactly how to navigate them for you.
KỌFI's payments consulting is grounded in direct experience operating inside regulated financial infrastructure. For clients who need an alternative to standard acquiring — different risk profile, different geography, different product requirements — we find the right fit.
End-to-end merchant acquiring. PSP matching against your risk profile, geography, and volume. Acquirer selection, rate negotiation, and KỌFI OS-powered onboarding.
Full banking infrastructure for businesses that need more than a standard account — multi-currency IBANs, FX, cards, batch payouts, and compliance. Sourced from regulated EMI partners across the UK and EEA.
PSP selection, PCI DSS, chargeback management, EU regulatory readiness (PSD2, SCA, Open Banking, SEPA). Independent advice — we work for you, not the provider.
Our payments consulting is grounded in direct experience operating inside regulated financial infrastructure. We bring that knowledge to your side of the table.
The barrier between a business and its own AI is gone. KỌFI deploys intelligence systems — cloud, hybrid, or fully offline — that any business can own, operate, and publish from. No technical team required.
Three retrieval systems built. Three paying clients. Two live in production. The engineering is proven — what KỌFI bottles next is the ease of NotebookLM with the flexibility of a system that's entirely yours.
Hyper-personalised voter outreach platform. URL parameter personalisation, candidate matching, neighbourhood insights, AES-256 encryption. GDPR compliant. Live in production.
Full custom RAG pipeline: ICP scoring, two-phase Go/No-Go, grounded drafting, zero fabrication. Built for RFP intelligence at scale.
A standard AI model — Claude, Gemini, GPT — is trained on public data. It knows everything generally and nothing specifically. Ask it about your policies, your client's manifesto, your internal documents — it either guesses or says it doesn't know.
RAG — Retrieval-Augmented Generation — fixes this without retraining the model. It adds a retrieval layer: a search engine over your own documents. When a question comes in, the system finds the most relevant passages from your knowledge base and feeds them to the model as context. The model answers only from what it retrieved — grounded in your data, not in its training.
The model doesn't change. The knowledge does. And the knowledge stays yours.
Draws from training data. May hallucinate. Cannot reference your documents. Data leaves your environment.
Draws only from your knowledge base. No hallucination outside your data. Citations available. Your data stays where you put it.
The realisation came from watching Google push Gemini Nano directly onto Pixel phones — running entirely on the device, no internet required. If Google can push a model to a phone, a business can own one entirely.
Every organisation with proprietary documents and a need for private AI is a candidate. A political party. A media company. A hospital trust. A law firm. None of them can get a truly private AI from OpenAI, Google, or Anthropic — because their data has to leave the building to get there.
KỌFI's local tier runs on the client's own hardware. Data never leaves their environment. Their customers get an AI that knows only their content — branded as their product, not ours. The business doesn't use AI. The business becomes AI for its customers.
Your data uploaded to their servers. Their terms. Their infrastructure. Their future model training. No offline capability.
Your data on your hardware. Your terms. Your infrastructure. Fully offline capable. GDPR compliant by design. The model serves your knowledge — not the other way around.
The right option depends on your connectivity requirements, data sensitivity, and budget. All three use the same retrieval engine underneath.
The model runs on dedicated hardware. Browser or mobile app connects to it. Fastest to deploy. Full reasoning capability. Requires connectivity to the server.
Political parties, media companies, internal knowledge bases
Small model (1B–4B parameters) runs directly on the phone. Fully offline. No server required. Limited to simpler Q&A and scripted interactions.
Consumer apps, field teams, areas with poor connectivity
Small model on the device handles simple, cached, offline queries. Complex queries escalate to the server. Best of both — offline resilience plus full reasoning capacity.
Enterprise deployments, regulated industries, consumer-facing publisher products
The local RAG stack was validated on a single Mac — no cloud, no API keys, no per-token cost. A Juneteenth historical archive assistant that answered questions exclusively from approved local documents, accessible from a phone on the local network within hours of setup.
That proof of concept became the pattern now running in production across three client deployments — two live, one invoicing.
The Discovery Engine ingests a list of targets, runs ICP scoring, prospect research, and personalised messaging generation — simultaneously across every row. Feed 500 companies. Get scores, summaries, and personalised openers back in minutes.
Toggle what applies. The recommendation updates live. Bring this to the first call.
A structured multi-channel sequence built around conditional logic — personalised at every touchpoint via the Discovery Engine. Every step is AI-assisted. No tool names. No lock-in.
| Day | Channel | Step | Description |
|---|---|---|---|
| 1 | The Hook | Hyper-personalised email — name, company, role dynamically inserted. Links to a dedicated landing page built for their industry. | |
| 2 | Profile visit | A deliberate profile view — signals interest without pressure. Creates awareness before the connection request lands. | |
| 3 | Invite | Personalised connection request referencing the email or a detail from their profile. Short, relevant, no pitch. | |
| 5 | Signal | If-clicked branch | Conditional logic fires based on engagement. Tailored follow-up for openers; lighter nudge for non-openers. |
| 6 | Voice note (key!) | 30–60 second voice message via LinkedIn DM. The highest-converting touchpoint in modern B2B outreach. | |
| 12 | Phone | Call task | A direct call. By day 12 the prospect has seen your email, LinkedIn, and voice — it feels warm, not cold. |
| 15 | Pattern interrupt | Brief, informal message on a different channel. Reserved for high-value ICP prospects who haven't responded elsewhere. | |
| 20 | MAP offer | Mutual Action Plan message. Signals seriousness, gives the prospect a concrete next step, filters genuine interest. | |
| 30 | Break-up | Final, honest email. No pressure — just a clean door left open. Often the highest-reply step in the sequence. |
One retrieval engine, served at the strength each client needs — a real curve of price, control, and privacy.
The easiest entry. Upload and go. Lowest cost, fastest onboarding — for teams who want grounded answers without touching infrastructure.
Where all three live builds sit today. Cloud engine, client-owned knowledge. Managed intelligence — your data.
Private, offline, air-gapped. Data never leaves the building. For finance, healthcare, legal, and the public sector — the tier no cloud tool can match. Everyone becomes a developer. Every business becomes a publisher.
When the brief needs more than a tier off the menu. Custom pipeline, custom retrieval strategy, custom front end. The roastery, not the cup.
Discovery Engine is in beta. Be first through the door.
Products being built by KỌFI — each one solving a specific gap in the payments and acquisition stack.
A micro-finance app for fiat and crypto transfers — built for the unbanked and underbanked. Enabling access to financial services where traditional banking falls short.
A multi-agent operating system designed to eliminate manual friction between merchant prospecting and live transaction processing. Each module operates independently as its own agent — and connects seamlessly to the next.
Discovery Engine — hyper-personalised campaigns rank top-3 acquirers by merchant profile.
Pre-Vet Form captures KYC, KYB, and AML data cross-referenced with GlobalDatabase.
KỌFI Gateway — smart routing orchestrates PSP selection and live transaction processing.
4-Tier Portal — scales from manual CSV to API-driven 80% pre-fill with CRM write-back.
Mutual Action Plan — 12–24 week rollout targeting 70–75% reduction in admin burden.
GTM engineering and RevOps — specialist deployment for enterprise PSPs and acquirers.
KỌFI actively sponsors Malmö Basketamatörer and the European Women Payments Network — two communities, one mission.
MBA has been promoted to Herr div 2 and will compete in both Div 2 and Div 3 next season — a growing club with real visibility across Skåne. Four sponsorship packages, all available over a 2-year term.
EWPN is a not-for-profit building community for women in finance, cards, fintech, and payments across Europe. Lanre serves as Swedish Country Ambassador and Male Allyship Co-ordinator.
Reach EWPN's community of women in payments and fintech across Europe.
Brand visibility at EWPN events and roundtables with senior fintech professionals.
Supporting men actively advocating for gender equity in payments and fintech.
Experienced consultants, developers, and marketers helping businesses reach their full potential across the UK and EEA.
Principal consultant and founder of KỌFI. Specialist in payments infrastructure, sales strategy, and market entry across the UK and EEA. Operates at the intersection of regulated financial infrastructure and AI-powered growth systems.
Swedish Country Ambassador and Male Allyship Co-ordinator, EWPN. BSc Computer Science, University of Bedfordshire.
Marketing and operations lead at KỌFI. Focused on e-commerce optimisation, software integration, and ensuring commercial strategy is backed by operational precision.
Principal consultant at The Hopkins Method. Former professional skateboarder. Brings a creative discipline to everything he builds.
The technical backbone behind KỌFI OS and the KỌFI platform. React Native, Ruby on Rails, and Next.js. Keeps it chill.
Inner martial artist. Clears the mind on long walks.
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