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Our story

We exist because the AI industry
stopped serving the people who needed it most.

Alpha Makina, an AI venture studio, launched Perceptrus on a simple conviction: that mid-market business owners and managers deserve the same quality of AI strategy, validation, and guidance as the largest enterprises, but without the agency fees, the vendor lock-in, or the six-month implementation timelines that deliver nothing provable.

Why we exist

Built from frustration with a market that had failed the mid-market.

In 2025, the AI consulting market split into two camps that served no one particularly well. On one side: enterprise agencies billing six figures for implementation projects that frequently ran over time, over budget, and underdelivered on their core promise. On the other: a growing market of freelancers and generalist tools that offered AI outputs without strategy, accountability, or transferable knowledge.

The companies caught in the middle, the $500K to $5M businesses that form the backbone of every economy, were paralyzed. They heard the AI imperative everywhere. They watched competitors move. They couldn't afford to get it wrong, and nobody was offering them a way to find out if they were getting it right before the money was spent.

Perceptrus was built to close that gap. Not with a new software platform, not with a subscription tool, and not with another agency model. With a methodology that puts proof before commitment and leaves every client with IP they own, not a vendor they depend on.

"The question was never whether AI would reshape business. The question was who would help the businesses that couldn't afford to find out the hard way."

— Perceptrus, founding principle

Our beliefs

Six principles that govern every engagement we run.

These are not values we invented for a website. They are the reasons Perceptrus was built the way it was.

01

Evidence before evangelism

We never sell AI for AI's sake. Every engagement starts with a hypothesis and ends with either proof or an honest "not yet." We are willing to tell clients when AI isn't the right move, and that willingness is the foundation of every trust relationship we build.

02

Radical transparency

We disclose our tools, our methods, and our results, including failures. Our deliverables are fully portable. We create no lock-in, leave no black boxes, and operate in our clients' best interest, not the AI vendors'.

03

Speed as a discipline

The mid-market doesn't have 18-month transformation timelines. We operate in sprint cycles and deliver measurable signal within weeks. Urgency is structural, not a compromise on rigour.

04

Democratised expertise

Enterprise-grade AI strategy should not be the exclusive domain of Fortune 500 companies. We exist to level the playing field, bringing the same tools, rigour, and talent to a $2M firm that a global conglomerate commands.

05

Playbooks over dependencies

We measure success by how little our clients need us after an engagement. Every PoC concludes with a transferable Prompt & Process Playbook. Our business grows through trust and expansion, not manufactured reliance.

06

Honest counsel over comfortable answers

The easiest thing we could do is tell every client what they want to hear: that AI will solve their problem, that the timing is right, that the ROI is inevitable. We don't. If the evidence points the other way, we say so clearly. A firm that only delivers good news is not a firm you can trust when the stakes are high.

What we do

A complete AI journey, under one roof.

Perceptrus offers four interconnected services designed to take a business from AI-curious to AI-operational, at whatever stage they're starting from.

Phase 01

AI Strategy Development

We work with your leadership team to identify where AI creates genuine business value and where it doesn't. The output is a prioritised AI opportunity map aligned to your operational goals, financial constraints, and competitive position. Not a technology wishlist. A business case.

Phase 02

AI Governance

Before any workflow changes, governance has to be in place. We build the policies, standards, and oversight frameworks that let your organisation pursue AI confidently, satisfying your board, your clients, and increasingly your regulators. Responsible AI is not a checkbox; it is a structural advantage.

Phase 03

AI Proof of Concept

We execute your highest-impact workflow using enterprise AI in parallel with your team. We do it externally, invisibly, on our infrastructure. You receive a scored performance report and a Prompt & Process Playbook within 21 business days. Proof before commitment, every time.

Phase 04

AI Adoption Solutions

Proof is the beginning, not the end. Once a PoC validates the case, we support implementation through structured training programs, change management frameworks, and team enablement workshops designed to make your people confident, not dependent on us to operate the system we hand them.

The team

Practitioners, not evangelists.

Perceptrus was envisioned and launched by Alpha Makina to help mid-sized businesses validate AI before implementing. Every person at Perceptrus has run the work: built prompts, tested outputs, measured results, and delivered playbooks. We don't theorise about AI. We execute it.

A

Alex Linton

Director of Operations

Former business strategist with 12 years in mid-market consulting. Leads Perceptrus after watching too many clients lose six figures on AI implementations that never proved their premise. Specialises in strategy alignment and PoC design.

M

Maya Osei

Head of Prompt Engineering

Leads all Shadow Sprint execution and prompt architecture. Background in computational linguistics and enterprise NLP. Has designed and validated over 200 AI workflows across 11 industries. Model-agnostic by conviction.

D

Daniel Krauss

AI Governance & Compliance Lead

Former legal counsel specialising in technology and data privacy. Builds the governance frameworks, policy documentation, and compliance structures that make AI adoption defensible to boards, clients, and regulators across multiple jurisdictions.

S

Sofia Marchetti

Adoption & Training Director

Organisational psychologist and learning designer. Architects the training programs and change management frameworks that turn a validated PoC into an embedded operational capability — ensuring adoption lands without resistance.

How we work

What every Perceptrus engagement looks like in practice.

Our operating standards are non-negotiable. They apply to every client, every sprint, every deliverable.

⚡

Fixed cost

Every engagement has a defined end date and cost before it begins. We do not extend scope without explicit agreement and we do not bill for time beyond the agreed boundary. Typically, a PoC runs for around 21 days and costs around USD 5000.

🔒

NDA on day one

Every engagement is covered by a mutual non-disclosure agreement before any workflow data is shared. Your processes and outputs are never used to train models or shared with third parties.

📋

Full IP transfer

Every prompt, workflow, and playbook we produce is transferred to you at handover. We retain no rights, no access, and no ongoing claim over anything we build for your operation.

🎯

Model-agnostic

We hold no commercial relationships with AI vendors. We select the best available model for each specific workflow, Claude, ChatGPT, Gemini, or others, based entirely on performance, not partnership incentives.

Ready to find out what AI can
actually do for your business?

Apply for a Shadow Sprint. We'll review your workflow and respond within one business day with an honest assessment of fit, not a sales pitch.

Apply for Your PoC → Contact us first