Research driven AI systems for growth and automation
We focus on AI research and development, data driven systems, and scalable cloud solutions. Our lab builds experimental models, productionises them in the cloud, and measures their real world impact.
Research & Experimental Development
Every system we ship follows a rigorous scientific process. From data acquisition to production deployment, every step is documented, reproducible, and measurable.
Data Collection
Acquire, clean, and label datasets from diverse sources with full lineage tracking.
Model Training
Train baseline and experimental models using powerful compute clusters, tracking every hyperparameter.
Testing & Validation
Benchmark against held-out sets, run A/B experiments, and validate bias-fairness.
Deployment
Ship to production via CI/CD with canary rollouts, monitoring, and auto-rollback.
Core Technology Areas
Five productised research streams. Each combines experimental AI systems with proven cloud infrastructure.
Ad Automation
Reinforcement-learning agents that optimise creative, audience, and budget allocation in real time.
CRM Systems
Customer lifecycle pipelines with predictive scoring, churn models, and next-best-action.
Growth Marketing
Funnel optimisation with experiment tracking, attribution modelling, and LTV forecasting.
Analytics & Insights
Real-time dashboards, anomaly detection, and natural-language query over warehouse data.
Design & Branding
AI-assisted design systems, component libraries, and automated brand compliance.
Bespoke Research
Have a novel problem? Our lab runs custom experiments and delivers peer-reviewed findings.
Cloud Infrastructure
A four-layer architecture that separates data, processing, intelligence, and delivery — all deployed natively in the cloud.
Experimentation Framework
A continuous loop that ensures every hypothesis is tested, every result is measured, and every learning is fed back into the next cycle.
Problem
Frame a measurable, falsifiable question.
Hypothesis
Propose testable outcomes with baselines.
Training
Train model variants with tracked runs.
A/B Testing
Compare against control with significance.
Tracking
Monitor drift and performance in production.
Use Cases
Real deployments with measured outcomes. Each case documents the problem, solution, system stack and quantitative results.
Predictive Ad Budget Allocator
Manual budget splits caused 34% wasted ad spend across 6 channels.
RL agent reallocating budget hourly using attribution signals.
Managed ML · Event Streams · Serverless Functions · NoSQL
4 month pilot · live for 11 months
Churn Prediction & Retention Engine
Monthly churn at 6.2%; reactive customer success workflows.
Gradient-boosted model triggering proactive interventions.
Data Warehouse · ETL · Managed ML · Event Bus
8 week build · continuous retraining
Data & Analytics
Every model and pipeline is instrumented. Decision-makers see the same numbers engineers see — updated in real time.
Cloud & Scalability
Built natively for the cloud. Auto-scaling groups, managed services, and multi-region failover keep systems responsive under load.
Auto-scaling Flow
CloudCloud Services Used
Security
Defence in depth. Encryption at rest and in transit, fine-grained IAM, audit logging, and regular penetration testing.
AES-256 at rest · TLS 1.3 in transit
IAM · SSO · MFA enforced
GDPR · SOC 2 ready
Real-time anomaly detection
Layered Security Model
Measurable Impact
Aggregated results across all production deployments over the past 12 months.
Have an AI research problem?
Our lab takes on custom experimental projects. Ship measurable systems, not slide decks.