Services
Four disciplines.One engineering team.
We design and build systems across data, automation, AI and infrastructure — separately or together, depending on what the problem requires.
Data Engineering
Turn fragmented web and business data into systems you can actually use.
Useful business data is scattered across websites, exports, inboxes and third-party tools. We build the collection and processing layer that turns it into clean, structured, dependable datasets — delivered where your team already works.
What we build
- Web scraping
- Resilient extractors for static and JavaScript-heavy sites, built to handle pagination, sessions and change.
- Data extraction
- Structured fields pulled from pages, files, PDFs and exports.
- Data pipelines
- Scheduled jobs that collect, validate and load data into your database, warehouse or spreadsheet.
- API integrations
- Connectors to the platforms you depend on, with retries, rate limits and logging.
- Data cleaning
- Normalisation, de-duplication and validation so the output is ready to use.
- Monitoring
- Change detection and alerts when a source updates, breaks or goes quiet.
Typical projects
- Price and catalogue tracking across competitor websites
- Directory and listing aggregation into a single database
- Exports from several internal tools merged into one reporting table
- Alerts when supplier or regulatory pages change
Automation
Replace repetitive manual work with software that runs itself.
If a person follows the same steps every day, that process can usually be encoded. We map the workflow, remove the manual steps and build automation that runs on schedule or on trigger — with logging, so you can always see what it did.
What we build
- Workflow automation
- Multi-step processes across your tools, triggered by time, events or incoming data.
- Browser automation
- Scripted interaction with web apps that have no API — forms, portals and dashboards.
- Business automation
- Order handling, onboarding, invoicing and other back-office routines.
- Reporting automation
- Reports assembled and delivered automatically, on the schedule you need.
- Lead automation
- Discovery, enrichment and routing of prospects into your CRM.
- API automation
- Direct system-to-system flows that replace copy-and-paste between tools.
Typical projects
- A daily spreadsheet update replaced by a scheduled job
- Supplier portal data collected and entered automatically
- Weekly client reports generated and delivered
- New leads enriched and assigned without manual research
AI Systems
Put AI inside real business processes.
AI is useful when it is part of a process with clear inputs, outputs and checks. We integrate language models into real workflows — reading documents, classifying requests, drafting outputs — with validation and human review where it matters.
What we build
- AI agents
- Task-specific agents that use your tools and data, within clearly defined boundaries.
- LLM integrations
- OpenAI, Anthropic and other models connected to your product or internal systems.
- Document processing
- Structured data extracted from invoices, contracts, forms and reports.
- AI workflows
- Classification, summarisation and routing embedded in existing processes.
- Custom AI tools
- Internal assistants and interfaces built around your specific use case.
- AI automation
- Model-driven steps combined with conventional automation for end-to-end flows.
Typical projects
- Incoming documents parsed into structured records
- A shared inbox triaged and routed automatically
- An internal assistant over company documentation
- AI-assisted enrichment of collected data
Infrastructure
Build the technical foundation your operation needs.
Automation and data systems need somewhere dependable to run. We design and build the backends, APIs, databases and deployment setup behind them — and the internal platforms your team uses every day.
What we build
- Backend systems
- Services and job runners designed for reliability and straightforward maintenance.
- APIs
- Clean, documented APIs that connect your systems and expose your data.
- Databases
- Schema design, migrations and performance for PostgreSQL and similar stores.
- Cloud infrastructure
- AWS and Cloudflare setups sized for the workload.
- Deployment
- Containerised, repeatable deployments with CI and environment management.
- Monitoring
- Logs, metrics and alerts, so problems are visible before users report them.
Typical projects
- An internal platform connecting CRM, billing and operations
- An API layer over legacy data sources
- Scripts moved from a laptop to managed infrastructure
- Scheduling and monitoring for existing automations
Pricing
Start small. Scale when it works.
Final pricing depends on scope and complexity. You get a fixed quote before any work begins.
Have a processthat shouldrun itself?
Tell us what is slowing you down. We’ll figure out what can be automated, engineered or rebuilt.