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P Perceptronix.
Services

Three pillars. One coherent practice.

Whether you need an expert second opinion, a system shipped end-to-end, or your team levelled up — we structure the engagement around the outcome you need, not a fixed menu.

Pillar 01

Expert Consultancy

Deep, hands-on engagement on the AI problems where the cost of being wrong is high and the value of getting it right is enormous.

Time-series forecasting

Univariate and multivariate forecasting with MRN ensembles, gradient-boosted models, and probabilistic neural nets — for finance, macroeconomics, demand planning, and operations.

Classification & decision systems

Calibrated, explainable classifiers for risk, churn, conversion, fraud, sports outcomes, and other binary/multi-class decisions.

Algorithmic & systematic trading

Strategy research, signal generation, walk-forward validation, execution wiring, and risk-managed live deployment.

GenAI architecture review

Independent assessment of LLM, RAG, and agentic AI initiatives — from prototype to production-readiness.

AI strategy & roadmaps

Boardroom-grade advice on where AI investment will earn its return — and where it will not.

Pillar 02

Collaborative Systems Development

We embed with your team to build production AI systems together — versioned, monitored, CI/CD-deployed — so the capability stays with you long after we leave.

End-to-end ML pipelines

From data ingestion through feature engineering, modelling, deployment, and monitoring — built as one coherent system, not handed-off artefacts.

Cloud deployment

AWS (EC2, EBS, RDS), Cloudflare Pages and Workers, containerised services, and infrastructure-as-code where it pays back.

MLOps & CI/CD

GitHub Actions, MLflow, automated testing, and reproducible builds. If a model can't be retrained on a button press, we haven't finished.

Real-time data integration

Live wiring into Finage, OANDA, MetaTrader, FRED, internal warehouses, and bespoke APIs — with clean failure modes and replay.

Monitoring & retraining

Drift detection, alerting, and scheduled retraining built in from sprint one — so models stay calibrated as the world changes.

Pillar 03

Inspiring Workforce Education

Tailored, evidence-based training delivered by an active researcher and 20+ year practitioner with a proven Russell Group teaching record.

Executive AI literacy

Half-day to multi-day workshops that give leadership teams the vocabulary, mental models, and decision frameworks for the AI era — without hype.

Hands-on technical bootcamps

Code-along training for analysts and engineers in Python, scikit-learn, deep learning, time-series ML, and the modern GenAI stack.

University-grade curriculum design

Drawing on the Nottingham Trent MSc Data Analytics for Business programme that Jon designed and led — adaptable to your in-house academy.

Doctoral & research supervision

6 PhDs supervised to completion. Available for industrial doctoral co-supervision and KTP-style partnerships.

Specialist seminars

Topical deep-dives on MRN ensembles, RAG architectures, agentic AI, time-series validation, and AI risk management.

Let's build something measurable

Have a forecasting or classification problem that needs to work in production?

Tell us about it. First conversations are confidential, no-obligation, and usually end with a clear view of feasibility, data needs, and time-to-value.