ai applications
Software that thinks,
learns, and decides.
We build AI into the application not as a feature bolted on after, but as the architecture from the start. Across six industry verticals, six AI capability types, and the full stack from data to deployment.
XFactr
.AI
.AI
Gen
AI
AI
Compu.
Vision
Vision
Pred.
Analytics
Analytics
NLP
/ LLM
/ LLM
Agent
AI
AI
Decision
Models
Models
Smart
Buildings
Buildings
Energy
& Grid
& Grid
Indus-
trial
trial
Retail
/ eCom
/ eCom
Health
Care
Care
Fin-
Tech
Tech
01
AI capability types in every application
GenAI, computer vision, predictive analytics, NLP, agents, and decision models as architecture, not features.
02
Industry verticals we build for
Smart Buildings, Energy, Industrial, Retail, Healthcare, FinTech domain knowledge that makes the AI relevant, not generic
03
Engineering team, full stack
From the data layer to the model to the application to the ops pipeline designed and delivered under one accountable team.
Capability × industry
Where each AI type shows up, by industry.
| Industry ↓ · AI Type → | Generative AI / LLM | Computer Vision | Predictive Analytics | NLP & Conversational | AI Agents | Decision Models |
|---|---|---|---|---|---|---|
| Smart Buildings | ||||||
| Energy & Grid | ||||||
| Industrial | ||||||
| Retail & eCommerce | ||||||
| Healthcare | ||||||
| FinTech |
Standard application
Primarily AI-driven
Deep AI + domain expertise
Edge cases only
Application types we build
categories. All production-grade.
Generative AI & LLM Applications
RAG-powered knowledge systems, enterprise AI assistants, document intelligence, and AI-native content workflows—grounded in your data, governed for production.
RAGLLM fine-tuningEnterprise assistantDocument AI
Computer Vision Software
Visual inspection, occupancy analytics, defect detection, and object recognition embedded into operational software with real-time inference.
Defect detectionOccupancy sensingVisual QCObject detection
Predictive Analytics Platforms
Equipment failure prediction, demand forecasting, energy optimisation, and risk scoring deployed into operational software.
Failure predictionDemand forecastingRisk scoringOptimisation
NLP & Conversational AI
Intent classification, semantic search, conversational interfaces, and document Q&A integrated directly into applications.
Semantic searchIntent classificationConversational UIDocument Q&A
AI Agent Systems
Goal-directed agents that plan, use tools, make decisions, and orchestrate multi-step workflows.
Multi-agentTool-using agentsWorkflow orchestrationHuman-in-loop
AI Decision Engines
Real-time decision models embedded into operational software including fraud detection, pricing, and recommendation engines.
Real-time scoringFraud detectionDynamic pricingRisk engine
How we build it
The AI application stack, layer by layer.
Layer 01 · Data
Data ingestion & pipelines
Feature engineering
Vector stores & RAG
Data validation & drift
Layer 02 · Model
Foundation model selection
Fine-tuning & RLHF
Prompt engineering
Evaluation harnesses
Layer 03 · Serving
Inference API design
Latency & cost optimisation
Guardrails & safety
Canary & A/B rollout
Layer 04 · Application
AI-native UX design
Explainability & trust UI
System integration
Feedback capture
Industry AI in practice
What AI looks like inside each vertical.
Smart Buildings & PropTech
IoT + AI
✦ Occupancy prediction & space optimisation✦ Equipment failure prediction from sensor data✦ Energy consumption forecasting & auto-optimisationBuilding management AI assistantTenant experience platformSustainability reporting automation
Energy & Grid
Operational AI
✦ Demand forecasting & load balancing models✦ Grid anomaly detection & outage prediction✦ Renewable generation forecasting (solar/wind)Regulatory document AI assistantGrid infrastructure visual inspectionCarbon accounting automation
Industrial & Manufacturing
Vision + Predictive AI
✦ Visual defect detection on production lines✦ Predictive maintenance from machine telemetry✦ Yield optimisation modelsOperator AI assistant (maintenance manuals)Supply chain visibility platformQuality control workflow automation
Retail & eCommerce
Personalization + Decision AI
✦ AI-powered recommendation engine✦ Demand forecasting & inventory optimisation✦ Dynamic pricing modelsVisual search & product discoveryConversational commerce assistantReturns fraud detection
Healthcare & MedTech
Clinical AI
✦ Clinical documentation AI (SOAP notes, coding)✦ Patient deterioration prediction✦ Medical imaging analysis supportPrior authorisation automationPatient intake conversational AIReadmission risk scoring
FinTech & Enterprise SaaS
Decision + GenAI
✦ Real-time fraud detection models✦ Credit scoring & underwriting AI✦ Financial document intelligence (contracts, filings)Compliance monitoring assistantChurn prediction & interventionKYC / AML automation
Platforms & tools
The full AI application stack.
✦ Foundation Models
OpenAI GPT-4oAnthropic ClaudeGoogle GeminiMeta Llama 3MistralCohereAWS BedrockAzure OpenAIVertex AI
✦ AI / ML Frameworks
LangChainLangGraphLlamaIndexAutoGenCrewAIPyTorchTensorFlowHugging Facescikit-learn
✦ Vector & RAG
PineconeWeaviateQdrantpgvectorChromaDBLlamaIndex RAGAzure AI Search
✦ Computer Vision
OpenCVYOLODetectron2AWS RekognitionAzure VisionGoogle Vision AIRoboflow
MLOps & Governance
MLflowLangSmithWeights & BiasesSageMakerVertex AIAzure MLDVCEvidently AIArize AI
Data & Pipelines
SnowflakeDatabricksdbtApache AirflowKafkaSparkFivetranGreat Expectations
Cloud & Infra
AWSAzureGCPKubernetesDockerTerraformGitHub ActionsArgoCD
Connect With us
ell us the problem. We'll show you where AI fits.
We don’t start with a model recommendation. We start with the problem, the data you have, and the outcome that matters and work backwards to the right AI architecture.