Capabilities

AI, data and software capabilities under one technical structure.

Each capability area is staffed by specialists who work together, not in isolation. This means a vision system can be built alongside the API, dashboard and deployment infrastructure in a single coordinated process.

01

Computer Vision

We design and deploy vision systems that extract structured operational data from images and video — from a single camera to hundreds of streams.

90-99% accuracy
<50ms latency
1-200+ streams

Technical capabilities

  • Image classification
  • Object detection (YOLO, DETR, RT-DETR)
  • Instance & semantic segmentation
  • Panoptic segmentation
  • Multi-object tracking (ByteTrack, BoT-SORT)
  • OCR & document intelligence
  • Visual anomaly detection
  • Industrial quality inspection
  • Video analytics & event detection
  • Vision-language models (CLIP, Florence)
  • Edge inference (TensorRT, ONNX)
  • Synthetic data generation

Example deliverables

  • Edge inference service
  • Video-processing pipeline
  • Monitoring dashboard
  • Annotation workflow
  • Camera configuration tool
  • Evaluation report

Proven use cases

Workforce zone monitoringDefect detection on production linesFootfall analytics in retailDocument digitisation
02

Language AI & LLM Systems

Enterprise knowledge systems, document intelligence and agentic automation — with hallucination control, source citation and cost-aware deployment.

>95% faithfulness
Top-5 recall retrieval
<2s latency

Technical capabilities

  • Retrieval-augmented generation (RAG)
  • Enterprise knowledge assistants
  • Document search & extraction
  • Semantic search (dense + sparse)
  • Question answering systems
  • Agentic workflows & tool use
  • LLM observability & evaluation
  • Guardrails & safety layers
  • Private / on-premise LLM deployment
  • Prompt engineering & optimisation
  • Information extraction pipelines
  • Multi-language support

Example deliverables

  • RAG system
  • Enterprise chatbot
  • Document pipeline
  • Evaluation framework
  • Cost analysis report
  • Guardrails config

Proven use cases

Internal knowledge base Q&AContract analysis automationCustomer support AIResearch literature assistant
03

Data Science & Predictive Intelligence

Statistical modelling, forecasting and decision-support systems grounded in rigorous evaluation and transparent methodology.

50+ algorithms models
Cross-validated validation
SHAP/LIME explainability

Technical capabilities

  • Time-series forecasting
  • Anomaly & outlier detection
  • Risk modelling & scoring
  • Classification & regression
  • Optimisation (linear, combinatorial)
  • Recommendation systems
  • Causal inference
  • A/B test design & analysis
  • Clustering & segmentation
  • Survival analysis
  • Decision support systems
  • Operations research

Example deliverables

  • Prediction API
  • Analytics dashboard
  • Anomaly alerting system
  • Model evaluation report
  • Feature importance analysis
  • Business impact model

Proven use cases

Demand forecastingFraud detectionPredictive maintenanceCustomer churn modelling
04

Data Engineering

Production data infrastructure — ingestion, transformation, validation, governance and observability at any scale.

Near real-time freshness
99.9% SLA quality
TB-PB scale

Technical capabilities

  • ETL & ELT pipelines
  • Batch & streaming processing
  • Data warehouses & lakehouses
  • Feature stores & pipelines
  • Data contracts & schema evolution
  • Lineage & impact analysis
  • Quality monitoring (Great Expectations)
  • Data observability platforms
  • Event-driven architectures
  • Change data capture (CDC)
  • Data mesh implementation
  • Cost-optimised storage tiers

Example deliverables

  • Data pipeline
  • Warehouse architecture
  • Quality monitoring system
  • Governance framework
  • Data catalog
  • Migration plan

Proven use cases

Real-time analytics pipelineMulti-source data consolidationML feature engineeringRegulatory reporting
05

MLOps & AI Infrastructure

Complete infrastructure for training, deploying, monitoring and maintaining production AI systems — from experiment to scale.

<15min deployment
99.9% uptime
<5min rollback

Technical capabilities

  • Experiment tracking (MLflow, W&B)
  • Model versioning & registry
  • Automated training pipelines
  • Inference services (REST, gRPC)
  • Edge deployment (Jetson, Coral)
  • CI/CD for ML (CML, GitHub Actions)
  • Model monitoring & alerting
  • Data & concept drift detection
  • A/B testing for models
  • GPU cluster orchestration
  • Cost optimisation & autoscaling
  • Model security & access control

Example deliverables

  • Model registry
  • Training pipeline
  • Monitoring stack
  • Deployment automation
  • Cost dashboard
  • Rollback system

Proven use cases

Automated model retrainingMulti-model serving platformEdge fleet managementML cost reduction
06

Software & Product Engineering

Complete application development — web, mobile, API, SaaS and enterprise integration — built to production standards from day one.

Lighthouse 95+ performance
99.9% availability
OWASP Top 10 security

Technical capabilities

  • Web platforms (React, Next.js, Astro)
  • Mobile applications (React Native, Flutter)
  • APIs & microservices (FastAPI, Node)
  • SaaS multi-tenant architecture
  • Real-time dashboards & reporting
  • Enterprise system integration
  • Authentication & RBAC (OAuth, SAML)
  • Cloud-native deployment (K8s, ECS)
  • Event-driven architecture
  • Database design & optimisation
  • Performance engineering
  • Security hardening

Example deliverables

  • Web application
  • Mobile app
  • API platform
  • Admin dashboard
  • Architecture document
  • Load test report

Proven use cases

SaaS product buildEnterprise portalOperational dashboardLegacy modernisation

Need a combination of these capabilities?

Most projects span multiple disciplines. A single engagement can combine vision, data, software and deployment into one coordinated delivery.

Discuss your requirements