Build what's next · BLD-02
Data, AI & Emerging Technology
AI, IoT and blockchain where they solve a real problem. Honest advice where they don't.
Data platforms, analytics, machine learning and applied AI, plus research and development in IoT and blockchain. We start with the business problem and the data you actually have, then build what pays for itself, with the security and privacy controls these systems need.
What's included
Pick what you need. We'll tell you what you've missed.
Data engineering
Pipelines, warehouses and lakehouses that pull scattered data into one reliable source. Quality checks included.
Analytics & BI
Dashboards and reporting that leadership actually opens. Metrics defined once, used everywhere.
Applied AI & LLMs
Document processing, internal assistants, retrieval over your own knowledge base and workflow automation, with data kept under your control.
Machine learning
Fraud detection, credit scoring, churn and demand forecasting. Models monitored for drift and bias in production.
AI security & governance
Prompt injection testing, model risk assessment and AI usage policies aligned with NDPA and emerging AI regulation.
IoT solutions
Sensor networks, telemetry platforms and device management for energy, logistics, agriculture and facilities, secured from device to cloud.
Blockchain & digital ledgers
Smart contract development, audits and permissioned ledgers for supply chain, credentials and settlement, where a shared ledger genuinely beats a database.
Research & prototyping
Rapid proofs of concept to test whether an idea works before you commit a full budget.
How it runs
The process.
- 1
Frame
Define the decision or process to improve and how to measure it.
- 2
Assess data
Find out what data exists, its quality and what it's legally allowed to be used for.
- 3
Prototype
A working proof of concept against real data in weeks, not months.
- 4
Productionise
Harden, secure, integrate and monitor what proved its value.
- 5
Govern
Ongoing monitoring for accuracy, drift, bias and misuse.
What you walk away with
Deliverables.
- Data architecture and governance model
- Production pipelines and dashboards
- Trained, documented and monitored models
- AI risk assessment and usage policy
- Smart contract audit reports
- Proof-of-concept with a go / no-go recommendation
FAQ
Questions we get asked.
Will our data be sent to third-party AI providers?
Only if you choose that. We can build with self-hosted open models or enterprise APIs with no-training guarantees, depending on your data sensitivity and budget.
Do we need blockchain?
Usually not. If one trusted party runs the system, a well-secured database is cheaper and faster. We'll tell you straight when a ledger is justified.
How quickly can we see results?
A focused proof of concept typically takes 3 to 6 weeks. That's enough to know whether to invest further.
Often paired with
Software Engineering
Web, mobile and enterprise software. Designed, built and secured by the same team.
IT Advisory & Digital Transformation
Technology strategy from people who have to live with the consequences of their advice.
Penetration Testing & Red Teaming
We attack your systems the way a real adversary would. With permission, and a report you can act on.
Let's talk about Data & AI.
Send a few lines on what you need and when. You'll get a reply from a practitioner, not a sales rep, within one working day.