Enterprise solutions · Cross-industry
IoT, integration, data and AI engineering for enterprises
Some systems are not specific to one industry. We build IoT platforms and edge software, integrate and modernise enterprise applications, engineer data platforms and AI, and harden cloud and security, for banks, energy companies, manufacturers and agricultural enterprises alike. Each page below describes one of these engineering areas in technical terms, and you own the code.
Solutions in this area.
- Digital product engineering · IoT
IoT platform development
IoT platform development: device registry and provisioning, secure connectivity, telemetry, device twins, rules and alerts, OTA updates and enterprise integration.Read the page - Digital product engineering · IoT
Edge gateway and embedded software development
Edge gateway and embedded software development: Linux gateways, protocol adapters, store-and-forward, edge apps, local ML inference and secure OTA updates.Read the page - Digital product engineering · Modernisation
Legacy application modernization for enterprises
Legacy application modernization for enterprises: estate assessment, strangler migration, API enablement and data migration with reconciliation and parallel runs.Read the page - Digital product engineering · Integration
Enterprise systems integration and API engineering
Enterprise systems integration and API engineering: API gateway, events, orchestration, EDI, ERP, CRM and core connectors, contracts, monitoring and security.Read the page - AI/ML engineering · Operations
AI agents for back-office operations
AI agents for back-office operations: invoice processing, reconciliation, reporting and KYC refresh with tool permissions, human approval, evaluation and audit logs.Read the page - AI/ML engineering · Infrastructure
Private LLM deployment
Private LLM deployment on-premise or in your cloud: model hosting, network isolation, gateway, access control, logging, retrieval, evaluation and capacity planning.Read the page - Data engineering · Sustainability
ESG and carbon accounting data platform
ESG and carbon accounting data platform: scope 1, 2 and 3 emissions, activity data, factors, evidence and assurance support for CSRD, ISSB and HKEX reporting.Read the page - Data engineering · Migration
ERP data migration and data quality
ERP data migration and data quality: profiling, cleansing, mapping, transformation, mock loads, reconciliation, cut-over rehearsals and legacy archiving.Read the page - Data engineering · Master data
Master data management for customers, materials and assets
Master data management for customers, products, suppliers and assets: golden records, matching, survivorship, stewardship workflows and distribution to systems.Read the page - Cloud and security · Sovereignty
Sovereign cloud and data residency
Sovereign cloud and data residency engineering: data classification, region and provider choice, customer-managed keys, access controls and regulator evidence.Read the page - Cloud and security · Delivery
DevSecOps for regulated industries
DevSecOps for regulated industries: secure pipelines, code and dependency scanning, SBOM and signing, policy as code, change evidence and separation of duties.Read the page - Cloud and security · Access
Zero trust architecture for enterprises
Zero trust architecture for enterprises: identity-centric access, device posture, microsegmentation, workload identity and privileged access, delivered in stages.Read the page - Cloud and security · Cost
Cloud cost optimization and FinOps
Cloud cost optimization and FinOps: cost allocation, rightsizing, commitments, storage and data transfer, unit economics and anomaly detection.Read the page - Cloud and security · Application security
Application security and secure SDLC
Application security and secure SDLC: security requirements, threat modelling, secure coding, testing, penetration testing and vulnerability management.Read the page
What enterprises in this sector usually need.
IoT and edge
Device management, telemetry, gateways, tracking and digital twins, software and integration around devices.Integration and APIs
Connecting ERP, CRM, operational and partner systems through APIs, events and files.Legacy modernisation
Moving ageing applications and databases to maintainable platforms in steps, without stopping the business.Data platforms
Lakehouses, pipelines, master data and analytics on governed, documented data.AI and automation
Private language models, agents and machine learning that work on your own data and systems.Cloud and security
Cloud migration, DevSecOps, zero trust, resilience and compliance engineering.
Common questions.
- Do you design hardware?
- We build the software and integration around devices: data collection, edge gateways, terminals, dashboards and cloud back-ends. Electronics and firmware design stay with your equipment suppliers.
- Can you work with our existing systems?
- Yes. Most of our work connects to systems you already run, such as ERP, core banking, historians and CRM, through APIs, messages or files.
- Who owns the code?
- You do. The code, the data and any models stay yours.