We build for your sector's constraints, not a generic template
Regulation, data architecture and the cost of a wrong answer differ sharply between a hospital network and a retail platform. Those differences drive the architecture, which is why the same system design rarely transfers cleanly between sectors.
We know your sector's constraints
Every industry has its own regulations, data architecture, and operational reality. We build for those specifics, not generic templates.
Banking and Finance
Fraud detection, credit risk scoring, compliance automation, AML monitoring, and AI advisory platforms built for FSA, SEC, MiFID II, and Basel III, with full auditability.
Healthcare
HIPAA-compliant clinical AI, medical documentation automation, diagnostic support, and hospital operations systems running under zero-downtime SLAs.
Legal and Compliance
Contract analysis, regulatory monitoring, e-discovery acceleration, and GDPR plus CSRD compliance systems for law firms and in-house legal teams.
Retail and E-Commerce
Demand forecasting, personalized recommendations, dynamic pricing, autonomous customer support, and inventory intelligence at scale.
SaaS and Technology
Internal AI copilots, developer productivity tools, customer success AI, multi-tenant LLM SaaS products, and AI-powered feature development.
Manufacturing and Supply Chain
Predictive maintenance AI, computer vision quality control, supply chain optimization, and production scheduling automation.
Real Estate
Property valuation, market forecasting, lead qualification, document automation, tenant support, and portfolio insights for residential and commercial teams.
Human Resources
Resume screening, candidate matching, hiring workflows, workforce analytics, engagement tracking, and attrition prediction for growing HR teams.
What changes between industries
The models are similar. The regulation, the data shape and the cost of being wrong are not, and those are what drive the architecture.
| Sector | Regulatory frame | What it forces in the architecture | Relevant work |
|---|---|---|---|
| Banking and Finance | SEC, MiFID II, Basel III, SOC 2 | Model registry with approval workflow, drift detection, immutable lineage, explainable decision paths | LLMOps governance |
| Healthcare | HIPAA, clinical governance | PHI handling, role-based retrieval, full audit trail per response, zero-downtime SLA | Clinical decision support |
| Legal and Compliance | Privilege, jurisdictional variance | Citation grounding with refusal behaviour, jurisdiction metadata filtering, held-out citation accuracy testing | Legal model fine-tuning |
| Retail and E-Commerce | PCI DSS, consumer data rules | Sub-100ms inference, real-time behavioural signals, forecasting under seasonality | Personalisation and forecasting |
| SaaS and Technology | SOC 2, customer DPAs | Tenant isolation, per-customer usage metering, provider-agnostic model routing | Knowledge search platform |
| Manufacturing | Safety and quality standards | Edge inference, vision pipelines, tolerance for intermittent connectivity | Machine learning systems |
| Real Estate | Valuation and disclosure rules | Explainable valuation models, document extraction at volume, defensible comparables | Data engineering |
| Human Resources | GDPR, employment and anti-bias law | Bias testing, human-in-the-loop on adverse decisions, retention and deletion policy | Process automation |
Compliance requirements are designed into the architecture at the scoping stage. Retrofitting them after a system is live is the single most expensive mistake we are asked to fix.
Enterprise clients across the USA, UK, Germany and the EU
We are a fully remote engineering practice, and most engagements run across time zones from the first call. Delivery is asynchronous by default with a fixed weekly checkpoint, which is how a distributed team keeps a project honest without filling calendars.
EU work carries its own requirements. GDPR data residency, the CSRD sustainability reporting regime and multilingual output are recurring constraints rather than edge cases, and one compliance platform we built reports in English, German and French across eight jurisdictions.
A note on sector templates
We do not keep an off-the-shelf build per industry. Sector knowledge shows up in the questions we ask during scoping and in the constraints we design around, not in a pre-built product waiting for your logo.
Regulatory intelligence across eight jurisdictions
GDPR, CSRD and internal policy review handled in one platform, with 84% gap classification accuracy and 52% less manual ESG auditing per cycle.
USA and EuropeProgram governance across multiple regions
Live risk flagging and executive briefings generated from communication and ticketing data, improving on-time delivery 28%.
Working in a regulated sector?
Tell us the regulation you have to satisfy and the workflow you want to improve. We will tell you what the architecture has to look like before anything else gets decided.