Data optimisation systems
Tools for analysing large datasets, testing scenarios, comparing outcomes and improving decision-making.
Statistical Edge Ltd
Cloud-native AI systems for complex data, automation and decision-making.
Statistical Edge builds practical software systems that help organisations process data, automate workflows and make better operational decisions, from financial analytics to AI-assisted admin tools for rescue centres.
Systems online Operational snapshot
Data optimisation
Live AI workflow agents
Running Cloud automation
Healthy Decision systems
Synced Reporting pipelines
Optimised Social-impact tools
Active Throughput
1.2k/s
Uptime
99.98%
Active systems
14
System activity · last 24h Healthy
Built across cloud, data, AI and operational workflows
AWS PostgreSQL Python .NET Rust React Docker GitHub Actions AI Agents Cloudflare
What we build
Software that turns complex workflows into reliable systems.
We focus on the operational layer most teams struggle to maintain: data pipelines, automation logic, monitoring, reporting, edge cases and AI-assisted workflows that need to work reliably in production.
AI workflow agents
Practical AI assistants for admin, reporting, research, QA, data entry and operational support.
Cloud automation
Event-driven systems using queues, scheduled jobs, APIs, serverless functions and containerised services.
Dashboards and reporting tools
Clean interfaces for operational data, financial metrics, user activity, stock-taking and internal workflows.
Financial data infrastructure
Market-data, allocation, portfolio, execution and monitoring systems for investment and fintech use cases.
Social-impact technology
AI-assisted tools for organisations such as rescue centres, where better admin can save time and improve outcomes.
How we work
From messy workflow to working system.
We keep projects focused: understand the workflow, build the core system, then improve it with real usage.
01
Map the workflow
We start by understanding the users, data, edge cases and operational risks before writing unnecessary code.
02
Build for production
We design around reliability from the start: monitoring, background jobs, integrations, permissions and failure handling.
03
Keep it maintainable
We keep systems structured, documented and easy to improve, so they can grow beyond the first version.
Systems
Systems we are building.
Each project is shaped around a specific workflow, dataset or operational challenge, then built into practical software that can scale.
Featured project
Data optimisation platform
QuantEdge
A high-performance optimisation and research system for testing strategies, evaluating scenarios and improving decision-making across large datasets, with LLMs used alongside traditional optimisation methods.
- Walk-forward testing
- Bayesian tuning
- LLM-assisted analysis
- Compute-heavy workloads
Workload
Running
Compute
Parallel
Cloud
AWS
Stack
Rust · Py
Social-impact operations
Rescue Centre AI Agent
An AI-assisted operations system helping rescue centres manage dog records, health notes, reminders, compliance paperwork and reporting.
Financial data infrastructure
BOTHUB
A market automation platform focused on portfolio workflows, exchange integrations, strategy access and execution infrastructure.
Operational reporting
Stocked Up
A stock-taking and reporting tool for hospitality teams, designed to reduce manual counting and make operational data easier to understand.
Cloud architecture
Built for scalable cloud infrastructure.
Our systems are designed around modern cloud architecture: event-driven services, secure data storage, background processing, monitoring and API-first integrations.
Compute-heavy optimisation
Some of our data optimisation workflows require scalable compute for testing large parameter spaces and evaluating millions of scenarios.
AI-assisted automation
We use AI to reduce repetitive admin, summarise information, generate reports and help teams manage complex workflows.
Secure operational data
Systems are designed around structured records, auditability, access control and production-safe data handling.
Event-driven architecture
We build with queues, scheduled jobs, serverless functions and containerised services so systems can scale without unnecessary overhead.
Charitable initiative
Free for rescue centres
AI support for rescue centres.
We are building AI-assisted admin systems to help animal rescue volunteers spend less time on paperwork and more time helping animals.
The system supports dog records, health notes, reminders, document preparation, compliance paperwork and day-to-day volunteer workflows.
Statistical Edge funds and runs this work directly. The tools, hosting and AI services are paid for by us, so rescue centres can use the system at no cost.
Want to help?
We're open to hearing from people who want to support the project, refer rescue centres, contribute skills or explore partnerships.
- Dog records
- Health notes and reminders
- Compliance and admin paperwork
- Reporting and document preparation
- Volunteer workflows
Ways to support
Referrals, skills, introductions or funding. Each kind of help moves the project forward.
If you run or work with a rescue centre, know a centre that could benefit, or would like to support this initiative, please get in touch.
Financial data use case
Financial data systems built for speed, monitoring and reliability.
Our background in trading infrastructure gives us experience with time-sensitive data, automation, monitoring, allocation logic and failure handling. We use that experience to build financial-data systems where accuracy, traceability and reliability matter.
This can include market-data pipelines, portfolio workflows, execution monitoring, reporting tools, internal dashboards and decision-support systems for fintech, investment and research use cases.
- Time-sensitive data
- Market-data pipelines
- Portfolio workflows
- Execution monitoring
- Allocation logic
- Reporting dashboards
Data Decision Execution Monitoring
About
Practical software for data-heavy, operational work.
Statistical Edge Ltd is a UK software company building practical AI, automation and data infrastructure for organisations with complex operational workflows.
We focus on the parts of software that need to work reliably in the real world: structured data, integrations, monitoring, edge cases, reporting, user workflows and cloud deployment.
Alongside our financial-data and automation work, we are also building social-impact tools for rescue centres, helping volunteers manage records, paperwork and day-to-day admin more easily.
- UK software company
- AI + automation systems
- Cloud-native infrastructure
- Data-heavy workflows
- Social-impact technology
How we work
01
Focused builds
Small, practical engagements around a clear workflow or system.
02
Production-minded
Built with monitoring, edge cases and long-term maintainability in mind.
03
Clear handover
Documentation and structure so systems can be improved over time.
Have a complex workflow that needs a smarter system?
Let's turn it into reliable software.