From scattered data to structured decisions — we build the context layer that gives you clarity so that you can do your best work.
Context engineering is the practice of designing, curating, and structuring the information environment that surrounds your decisions. We build the data infrastructure that thinks the way you think.
Our layer surfaces information you wouldn't have thought to capture — the implicit context, the overlooked signals, the gaps you didn't know existed.
We identify what information drives your decisions — and strip away everything that doesn't. What remains is pure signal.
Your curated intelligence, structured and unified. No more cross-referencing dashboards or chasing updates.
Your context evolves as your role does. Always calibrated to what matters now, not last quarter.

We build the data layer, not just the tools that sit on top. The agents are only as good as the context they receive.

Not a vendor relationship. A genuine partnership built on understanding your world first — expert guidance shaped entirely around you.

The edge cases, the implicit priorities, the unstated assumptions. We handle what most overlook entirely.

Each data layer is different because each person is different. We adapt the system to your environment and your needs.
Everyone is adopting AI. Almost no one trusts the output. The bottleneck isn't the model — it's the data underneath. Without a structured intelligence layer, AI guesses. With one, it knows.
We build that layer and work alongside you — one-to-one consulting, not a handoff — until your AI produces answers you'd stake decisions on. The result: a first-mover advantage your competitors can't replicate, because they don't have the foundation.
We build on cloud infrastructure that has undergone SOC 2 Type II auditing — so your data is handled within enterprise-grade security controls from day one.
Every platform and data system we deploy operates within ISO 27001-certified information security frameworks — the global benchmark for protecting sensitive business data.
The tools and infrastructure we use are fully aligned with GDPR requirements — your data stays private, protected, and within the boundaries of UK and EU law.
A layer built around you — your expertise, your decision-making patterns, your context. We work with you one-to-one to build an intelligence foundation that makes AI genuinely useful for how you think and work.
We sit with you — not a questionnaire, not a form. One-to-one conversation to truly understand your world, your pressures, and what keeps you up at night.
We capture what you wouldn't think to mention — the implicit requirements, the unstated assumptions, the context that only surfaces through genuine dialogue.
Everything we learn feeds into a personal intelligence layer — your priorities, decisions, and domain knowledge structured into a living, queryable graph.
Your layer evolves as you do. As your role shifts, as priorities change — we keep calibrating so it always reflects what matters to you now.
With your intelligence layer as the foundation, AI stops giving generic answers. It responds with your context, your constraints, your judgement built in.
You're not a ticket in a queue. We work alongside you as a genuine partner — invested in your outcomes, not just deliverables.
What your best people know should make everyone better. We capture institutional knowledge before it walks out the door — and turn it into a permanent, queryable asset your entire organisation can build on.
Your best people's knowledge isn't in any system — it's in their heads. Our agents extract decades of expertise through natural conversation, not documentation projects.
Not a document repository. A living network where every insight links to the people, processes, and decisions that give it meaning — queryable and AI-ready.
Track how knowledge evolves. See when decisions were made, who was involved, and how understanding developed — a full audit trail of institutional wisdom.
New hires query the system, not your busiest people. Instant access to decades of institutional context from day one — ramp-up in weeks, not months.
When every team draws from the same knowledge base, you eliminate the inconsistencies that cost you rework, delays, and client confidence.
When your most experienced people leave, their knowledge stays. No scrambled handovers, no re-hiring at 10x the rate — the expertise lives in the layer.
“What sets Amir apart is the combination of deep knowledge and genuine generosity with it. He doesn't just understand this space — he cares about the people he shares it with. I'm a better operator and a clearer thinker as a result of his input, and I'm very grateful for it.
An energy logistics company had critical decision-making data scattered across Power BI models and Microsoft Fabric — selectivity metrics, employee activity, and external factors from regulatory bodies. Leadership needed answers fast, but getting them meant waiting on analysts or navigating dashboards manually.
Built a deep research agent that sits across their entire enterprise data — Power BI semantic models and Microsoft Fabric lakehouse
Integrated external data sources — regulatory information and market factors — alongside internal operations data
Decision-makers now query the full picture in natural language — no analyst bottleneck, no dashboard hunting
A property portfolio developer was making investment decisions based on fragmented market data — manually pulling from listings, land registries, planning portals, and local market signals. Due diligence took weeks. Opportunities were slipping through because the data wasn't consolidated or actionable.
Built automation systems that aggregate property data across the UK landscape — listings, planning, market trends, and comparable sales
Created an intelligence layer that surfaces investment-ready insights — not raw data, but contextualised opportunity signals
Investment decisions that took weeks of research now happen with confidence in days
Your best person retires and takes 20 years of context with them. You re-hire them as a consultant at 10x the rate because no one else knows what they knew.
Their expertise lives in your intelligence layer before they leave. The next person queries it on day one — no scrambled handover, no ransom consulting fees.
You manually gather context from emails, Slack, meetings, and documents before every major decision. Half the picture is missing because it was never written down.
Your intelligence layer connects every source — one query surfaces everything relevant, including the context that was never documented until we captured it.
AI gives you generic responses because it has no context about your business. You spend more time correcting the output than it saved you.
AI built on your intelligence layer responds with your constraints, your domain knowledge, and your judgement built in. Answers you'd stake decisions on.
Every team operates from different assumptions because knowledge lives in silos. Rework, delays, and misaligned priorities are the norm.
One source of truth. Every team draws from the same foundation — fewer handoff errors, faster decisions, and delivery that doesn't depend on who's in the room.
New hires spend months shadowing senior staff, pulling your most experienced people away from the work that actually moves the needle.
Institutional knowledge is queryable from day one. New hires ramp up in weeks, not months — and your senior people stay focused on high-value work.
Your competitors adopt the same AI tools you do. There's no moat — everyone has access to the same models, the same capabilities.
Your intelligence layer is your moat. It's built from your people, your processes, your history — something no competitor can replicate or buy off the shelf.

Context engineering is the practice of designing, curating, and structuring the information environment around your decisions. We build a data layer — specific to you — that filters noise, surfaces signal, and delivers the right information at the right moment. It's the infrastructure that makes AI and your own thinking sharper.
An analyst reports on what happened. We engineer what reaches you and how. The focus isn't on producing more reports — it's on building an intelligent layer that continuously curates, filters, and structures information around your specific role, priorities, and decisions.
Your intelligence layer is live from day one. The initial calibration happens in the first week as we map your information landscape, decision patterns, and priorities. From there, the system continuously refines itself as it learns how you work.
None. We handle the technical infrastructure entirely. You interact with your intelligence layer the same way you'd interact with a trusted advisor — through clear, structured information that's ready when you need it.
Arpx is industry-agnostic — we work with decision-makers across sectors. What matters is the complexity of your information environment, not the industry. If you're making high-stakes decisions across multiple data sources, Arpx is built for you.
It starts with a conversation. We learn about your role, your information landscape, and where the friction lives. From there, we design and build your data layer, calibrate it to your priorities, and refine it continuously. We work with a small number of executives at any one time to ensure depth and quality.
Every engagement is bespoke, so pricing depends on the complexity of your information environment and what you need. We'll discuss this in our initial conversation. What we can say: the cost of not having this is measured in hours lost per week and decisions made without full clarity.