Bespoke AI for regulated industries. Healthcare first.
Custom synthetic data, dedicated ML models and simulation infrastructure, built to enterprise standards without touching real records. Healthcare and MedTech lead; fifteen more sectors run on the same engine.
Healthcare & MedTech
Our own products first, then the clinical and operational models we build for partners.
mintHealth
The autonomous procurement operating system for ambulatory surgical centers.
OutputZero-touch purchase orders Voice rehabilitationBrevio
Helps patients get their voice back after a tracheotomy: short daily speech exercises at home, measured on the phone, with progress the speech therapist and doctor can follow.
FocusSpeech therapy · Home rehabilitation Research with ColoplastOstomy monitoring
Edge AI on smart ostomy sensors: predicting leakage and skin-health risk on the device itself, with no patient data leaving it.
FocusEdge AI · SaMD researchDiagnostic Prediction
Trains diagnostic classifiers on synthetic patient records mirroring real disease distributions without privacy risk.
OutputDiagnosis ScoreClinical Trial Simulator
Synthetic trial populations matching target demographics to optimize cohort design before real enrollment.
OutputCohort BlueprintReadmission Risk Engine
Predicts 30-day readmission probability from synthetic EHR sequences to optimize discharge planning.
OutputRisk ScoreDrug Interaction Model
Synthetic polypharmacy datasets to train adverse event prediction without real patient exposure data.
OutputInteraction AlertMedical Imaging Augmentation
Synthetic rare-condition scan data to balance training sets for imaging classifiers — solving class imbalance.
OutputAugmented DatasetOperational Demand Forecast
Synthetic patient flow simulation to predict bed occupancy, staffing demand, and supply chain needs.
OutputCapacity PlanOther sectors on the same engine
Finance is where the engine started. These are the models we build for each regulated industry.
Finance
Credit Risk Scoring
Multivariate SME scoring engine with explainable AI and auto-generated PDF reports for every decision.
OutputScore + Audit PDFFraud Detection AI
Trains on synthetic fraud patterns — money mule, structuring, synthetic identity — with zero real PII.
OutputReal-time FlagsIFRS9 ECL Modeler
Forward-looking macro scenarios to calculate Expected Credit Loss provisions under stage migration.
OutputProvisioning TableCovenant Breach Engine
Simulates EBITDA under 10k cost scenarios to predict technical default 6 months before breach.
OutputBreach Prob. ScoreExit Risk Simulator
Models refinancing probability for illiquid corporate debt 3–5 years forward under macro stress.
OutputBinary Refi StatusTail Risk Stress Test
Generates synthetic Black Swan environments to test portfolio strategies against 6-sigma events.
OutputMax DrawdownAI Startups
Cold Start Dataset
Statistically faithful synthetic training data for new AI products with zero real-world history.
OutputPre-trained WeightsBias Audit & Removal
Detects and scrubs demographic, historical, and sampling bias from existing training datasets before deployment.
OutputFair DatasetSynthetic Stress Suite
Edge case and adversarial synthetic datasets to stress-test model robustness before production release.
OutputRobustness ReportFederated Learning Infra
Architecture for training shared models across multiple clients without moving or centralizing any raw data.
OutputShared ModelLLM Fine-tuning Data
Domain-specific synthetic instruction datasets for fine-tuning LLMs on proprietary business contexts safely.
OutputFine-tune PackageRegulatory Sandbox
Safe synthetic environment for demonstrating AI compliance to regulators — GDPR, EU AI Act ready.
OutputCompliance DemoE-commerce
Churn Prediction Engine
Identifies users at risk of departure based on synthetic transactional and behavioural usage patterns.
OutputChurn ProbabilityRecommendation Model
Collaborative filtering on synthetic user-item interaction data — no real purchase history exposed.
OutputProduct RankingDemand Forecasting
Synthetic demand curves incorporating seasonality, promotions, and macro signals for accurate stock planning.
OutputWeekly ForecastPrice Optimiser
Synthetic price elasticity datasets enabling dynamic pricing model training across product categories.
OutputOptimal Price PointReturn Fraud Detector
Trains anomaly detection on synthetic return behaviour patterns to flag abuse before fulfilment impact.
OutputFraud ScoreLTV Predictor
Synthetic customer lifetime value modelling for acquisition budget allocation and retention investment decisions.
OutputLTV ScoreLogistics
Route Optimisation AI
Trains route planning models on synthetic traffic, weather, and constraint data — no real driver exposure.
OutputOptimal Route SetDisruption Simulator
Synthetic supply chain shock scenarios — port closures, supplier failures, demand spikes — for contingency planning.
OutputContingency PlanDemand Sensing Model
Real-time demand signal processing using synthetic external variables — weather, events, economic indicators.
Output72hr Demand SignalCarbon Footprint Engine
Models emission impact of routing decisions across synthetic fleet scenarios to hit Scope 3 targets.
OutputCO₂ ImpactWarehouse Labour Model
Synthetic pick-and-pack workflow data to optimise staffing, layout, and automation investment decisions.
OutputStaffing PlanSupplier Risk Score
Synthetic financial and operational profiles of suppliers to predict instability before it impacts the chain.
OutputRisk RatingTelecoms
Subscriber Churn Model
Synthetic call detail records and usage patterns to identify at-risk subscribers before contract expiry.
OutputChurn ScoreNetwork Failure Predictor
Synthetic signal degradation and fault patterns to predict outages before customer-impacting failures occur.
OutputFailure ProbabilitySIM Swap Fraud Detector
Synthetic fraud behaviour training data to detect SIM swap and account takeover before execution.
OutputFraud AlertSpectrum Demand Model
Synthetic traffic load simulations to inform 5G spectrum allocation and cell tower placement decisions.
OutputAllocation MapARPU Uplift Model
Synthetic usage and propensity data to identify upsell moments and optimal product bundle offers.
OutputOffer TriggerRegulatory Compliance AI
Synthetic call and data records for testing lawful intercept compliance tooling without real exposure.
OutputCompliance ReportAgriTech
Crop Yield Predictor
Synthetic weather, soil, and satellite data to forecast yield 90 days ahead at field-level granularity.
OutputYield Forecast t/haSoil Health Model
Synthetic sensor readings and historical data to predict soil degradation and recommend interventions.
OutputHealth ScoreClimate Risk Simulator
Synthetic extreme weather scenarios — drought, flood, frost — to model financial crop loss probability.
OutputLoss ProbabilityIrrigation Optimizer
Synthetic evapotranspiration and moisture data to train precision irrigation scheduling models.
OutputIrrigation SchedulePest & Disease Predictor
Synthetic environmental trigger data to forecast pest outbreak probability and optimal intervention windows.
OutputOutbreak RiskSupply Chain Traceability
Synthetic batch and provenance data for training traceability AI to meet ESG and regulatory requirements.
OutputTrace CertificateHR
Attrition Predictor
Synthetic employee tenure, engagement, and salary data to predict voluntary departure 3 months ahead.
OutputFlight Risk ScoreBias-Free Hiring Model
Removes demographic proxies from synthetic candidate profiles to train legally compliant screening AI.
OutputFair RankingWorkforce Planning Sim
Synthetic headcount and skill data to model department growth scenarios under budget constraints.
OutputHeadcount PlanCompensation Equity Model
Synthetic pay band and performance data to detect and correct gender or demographic pay gaps at scale.
OutputEquity ReportSkills Gap Analyzer
Synthetic skills and role performance data to identify training needs before business capability gaps emerge.
OutputTraining MapBurnout Early Warning
Synthetic workload and engagement signals to flag burnout risk before performance deterioration occurs.
OutputWellbeing AlertInsurance
Claims Fraud Detector
Synthetic claims behaviour to train anomaly detection — inflated claims, staged accidents, identity fraud.
OutputFraud ScoreDynamic Pricing Engine
Synthetic risk profiles and loss history for training actuarially sound pricing models across product lines.
OutputPremium RecommendationCatastrophe Stress Test
Synthetic extreme event scenarios — flood, wildfire, cyber — to stress portfolio solvency under Solvency II.
OutputCapital ImpactChurn & Lapse Model
Synthetic policyholder behaviour data to predict lapse probability and optimise renewal intervention timing.
OutputLapse ProbabilityMortality Table Generator
Synthetic longevity and health data to model future mortality tables under climate and medical innovation scenarios.
OutputUpdated TablesReinsurance Optimizer
Synthetic treaty performance data to model optimal reinsurance attachment points and retention levels.
OutputOptimal StructureEnergy
Gas Synthetic Time-Series
TimeGAN + GARCH generation of TTF contract price series with authentic Black Swan volatility spikes.
Output50k+ SeriesGrid Failure Predictor
Synthetic sensor and load data to predict grid stress events and trigger proactive maintenance before outage.
OutputFailure ProbabilityRenewable Generation Forecast
Synthetic weather and generation profiles to train intra-day solar and wind output prediction models.
OutputHourly MW ForecastEnergy Demand Model
Synthetic consumption patterns incorporating temperature, economic, and behavioural signals for load forecasting.
OutputLoad CurveCarbon Credit Optimizer
Synthetic emission and credit price scenarios to optimize carbon offset portfolio timing and allocation.
OutputCredit StrategyBattery Storage Simulator
Synthetic degradation and arbitrage data to train optimal battery dispatch and cycle management models.
OutputDispatch ScheduleAutomotive
Collision Prediction Model
Synthetic sensor fusion data — LiDAR, camera, radar — to train collision avoidance and hazard detection models without real incident exposure.
OutputHazard ScoreEdge Case Simulator
Generates rare and adversarial driving scenarios — night rain, debris, pedestrian occlusion — to stress-test autonomous system robustness.
OutputScenario LibraryPredictive Maintenance
Synthetic vehicle telemetry and fault data to predict component failures before breakdowns across large commercial fleets.
OutputFailure ProbabilityUsage-Based Pricing Model
Synthetic driving behaviour datasets to train fair, privacy-safe UBI pricing engines across driver segments.
OutputRisk PremiumEV Range Optimizer
Synthetic battery degradation and route data to train models that predict optimal charging strategy and range under real-world conditions.
OutputRange ForecastRegulatory Testing Suite
Synthetic homologation test data enabling WLTP, Euro NCAP, and ISO 26262 model validation without real road exposure.
OutputCompliance ReportTechnology
Product-Led Growth Model
Synthetic user activation and expansion data to train models that predict conversion from trial to paid without exposing real product analytics.
OutputConversion ScoreChurn & Expansion Predictor
Synthetic usage signals and health scores to predict churn 90 days out and identify upsell-ready accounts across your customer base.
OutputHealth ScoreValue-Based Pricing Engine
Synthetic willingness-to-pay datasets to model optimal pricing tiers, packaging, and discounting strategies without real deal exposure.
OutputOptimal TierCapacity Planning Model
Synthetic load and scaling data to train infrastructure demand forecasting — preventing over-provisioning and outage risk at scale.
OutputCapacity ForecastTicket Deflection AI
Synthetic support conversation data to train LLM-based deflection and routing models — reducing L1 volume without touching real tickets.
OutputDeflection RateAnomaly Detection Engine
Synthetic API access patterns and audit logs to train anomaly detectors for insider threat, account takeover, and abuse prevention.
OutputThreat AlertCybersecurity
Threat Detection Model
Synthetic network traffic and log data to train AI-powered threat detection engines — covering APT, ransomware, and zero-day patterns.
OutputThreat ScoreSocial Engineering Detector
Synthetic phishing email and social engineering datasets to train classifiers that catch novel attack vectors before human exposure.
OutputRisk ClassificationInsider Threat Predictor
Synthetic user behaviour baselines to detect anomalous access, data exfiltration risk, and compromised credential patterns.
OutputInsider Risk ScoreVulnerability Prioritizer
Synthetic CVE and asset exposure data to train models that rank remediation priority by real business impact — not CVSS alone.
OutputPriority QueueResponse Automation Model
Synthetic incident timelines and playbook data to train SOAR-integrated response models that reduce mean time to contain.
OutputContainment PlanGRC Risk Scorer
Synthetic control and audit data to train continuous compliance monitoring models aligned to SOC 2, ISO 27001, and NIS2.
OutputCompliance ScoreReal Estate
Automated Valuation Model
Synthetic property transaction and feature data to train AVMs that price residential and commercial assets accurately without real sale exposure.
OutputProperty EstimateMortgage Default Model
Synthetic borrower profiles and repayment histories to train mortgage default prediction models under regulatory constraints.
OutputDefault ProbabilityMarket Demand Forecaster
Synthetic transaction volumes, migration flows, and macro signals to predict regional demand shifts 6–18 months ahead.
OutputDemand IndexAsset Yield Optimizer
Synthetic rental income and cost data to model yield optimization across mixed-use portfolios under various economic scenarios.
OutputYield ProjectionCarbon Liability Scorer
Synthetic building energy and retrofit data to quantify stranded asset risk under SFDR and EU Taxonomy disclosure requirements.
OutputStranded Asset RiskTransaction Fraud Detector
Synthetic conveyancing and title data to train models that flag money laundering, identity fraud, and gazumping patterns.
OutputFraud FlagEducation
Adaptive Learning Engine
Synthetic learner engagement and performance data to train recommendation models that adapt content difficulty and format in real time.
OutputLearning PathAt-Risk Student Predictor
Synthetic attendance, assessment, and engagement signals to identify students at risk of disengagement 4–8 weeks before dropout.
OutputRisk ScoreAutomated Grading Model
Synthetic essay and submission data to train fair, explainable AI graders that align with rubric criteria without bias.
OutputGrade + FeedbackSkills Gap Curriculum Designer
Synthetic workforce skills and labour market data to model curriculum gaps and recommend learning pathways that align to employer demand.
OutputCurriculum MapEnrolment Forecasting Model
Synthetic application and demographic data to predict enrolment yield, financial aid impact, and cohort composition without real applicant exposure.
OutputYield ForecastTutoring AI Fine-tune Data
Synthetic Q&A dialogues and domain knowledge to fine-tune subject-specific tutoring LLMs — safe, COPPA-compliant, bias-scrubbed.
OutputFine-tune PackageGovernment
Benefits Fraud Detector
Synthetic claimant and payment data to train anomaly detection models that flag fraudulent benefit applications without accessing real citizen records.
OutputFraud ScoreTax Gap Predictor
Synthetic financial filing and audit data to train risk-based models that identify under-reporting patterns and prioritize compliance interventions.
OutputRisk RankingUrban Demand Forecaster
Synthetic population, mobility, and infrastructure data to model future service demand — schools, transport, utilities — at district level.
OutputDemand ForecastRecidivism Risk Model
Synthetic rehabilitative and behavioural data to train explainable recidivism models — bias-audited, GDPR-safe, court-admissible.
OutputRisk ClassificationPublic Health Sentinel
Synthetic epidemiological and mobility data to train early-warning models for outbreak detection and health resource pre-positioning.
OutputOutbreak AlertProcurement Risk Scorer
Synthetic contract and supplier data to flag procurement irregularities, single-source risk, and dependency concentration in public spending.
OutputRisk ReportHow an engagement works
From your data architecture to a live, audit-ready model in production.
-
Map the logic
A discovery workshop documents your data architecture, decision logic and risk definitions, and maps them to the model’s input schema.
-
Synthesize training data
Our engine generates a statistically faithful twin of your data — no personal data, differential privacy where needed.
-
Train and validate
Domain-specific models trained on the synthetic dataset, with performance documentation and bias audits.
-
Stress-test at scale
Every model runs against thousands of scenarios — domain stress tests, tail-risk analysis, sensitivity drivers.
-
Deploy to your infrastructure
Containerised and deployed to your cloud (AWS, Azure, GCP) or on-premise, with API docs, monitoring and a runbook. You own everything.
Book a technical consultation.
We’ll scope your use case, identify the right models and outline a delivery plan — no commitment, NDA from day one.