Clarity for complex software. Applied AI that earns its place.
Farolum helps product companies and established businesses modernise critical systems, integrate useful AI and ship with confidence. Senior-led delivery built on 10+ years of hands-on engineering experience.
Direct conversation, clear fit and no generic sales pitch.
- 10+ years of hands-on experience across software, product, cloud and mobile
- Architecture, implementation and production ownership under one accountable lead
- Remote delivery for ambitious teams worldwide
From ambiguity to outcomes
Diagnose
Map the system, workflow, evidence, risks and commercial objective.
Design
Choose the smallest credible solution and define how success is measured.
Deliver
Ship in controlled increments, observe production and transfer knowledge.
Built for serious systems
- Critical platforms, SaaS products, APIs, integrations, automation and mobile
- Applied AI grounded in real workflows, governed data and measurable value
- Modern delivery: cloud, CI/CD, observability, security and release discipline
Capabilities
Strategy and engineering stay connected, from the first decision to production.
Advisory & intelligent systems
Find where AI and better system design can create operational value without adding unnecessary complexity.
AI opportunity & readiness
A decision-ready view of useful AI opportunities, constraints and priorities.
Typical scope
- Workflow and data assessment
- Opportunity map ranked by value, risk and feasibility
- Architecture, governance and delivery roadmap
Deliberately excluded
- AI theatre or tool-first recommendations
- Unvalidated transformation programmes
Workflow automation & AI agents
Reliable automation for documents, operations, support and knowledge work.
Typical scope
- Human-in-the-loop workflow design
- LLM, RAG, OCR, APIs and business system integration
- Evaluation, guardrails, monitoring and cost controls
Deliberately excluded
- Unsupervised high-risk decisions
- A chatbot with no operational outcome
Architecture & fractional CTO
Senior technical direction for teams facing growth, risk or difficult trade-offs.
Typical scope
- Architecture and platform reviews
- Technical roadmap, standards and decision records
- Team guidance, vendor due diligence and delivery oversight
Deliberately excluded
- Executive title without hands-on involvement
- Process for process’s sake
Engineering & modernisation
Improve the software your business already depends on, or build the next critical capability with production in mind.
Critical product engineering
Senior implementation for web platforms, APIs, internal products and mobile.
Typical scope
- Discovery, architecture and acceptance criteria
- Backend, frontend, mobile and integration delivery
- Testing, deployment, observability and handover
Deliberately excluded
- Anonymous staff augmentation
- Open-ended backlog without ownership
Legacy modernisation
Reduce fragility without betting the business on a big-bang rewrite.
Typical scope
- System and dependency mapping
- Incremental extraction, migration and compatibility strategy
- Release safety, test coverage and knowledge transfer
Deliberately excluded
- Rewrite by default
- Framework upgrades with no business case
Reliability, performance & cloud
Make production behaviour visible, predictable and economically sustainable.
Typical scope
- Profiling, database and application performance
- Cloud architecture, CI/CD and observability
- Incident prevention, security hardening and cost review
Deliberately excluded
- Vanity infrastructure
- Complexity without operational benefit
Delivery model
A compact senior core, the right specialists and one accountable lead.
Farolum is a senior-led consultancy. Each engagement begins with technical leadership and expands only when the problem calls for additional product, AI, cloud, mobile, security or quality expertise.
This keeps communication direct, decisions close to the work and the team proportionate to the outcome — without selling a large bench by default.
How control stays visible
- One accountable technical lead and one prioritised outcome for every engagement.
- Written decisions, acceptance criteria and production evidence at meaningful checkpoints.
- Specialist capacity is added deliberately and all critical work remains senior-reviewed.
Specialist capabilities activated by the engagement
Technical direction
LeadershipOwns architecture, delivery quality, technical decisions, risk and senior stakeholder communication.
Applied AI & automation
SpecialistConnects models, data and workflows with evaluation, guardrails and production operations.
Product & UX
SpecialistTurns business intent into clear user journeys, priorities, interfaces and delivery decisions.
Software engineering
SeniorBuilds and modernises APIs, platforms, integrations, mobile products and internal systems.
Cloud & reliability
SeniorShapes deployment, infrastructure, observability, performance and secure production operations.
Quality engineering
SpecialistMakes acceptance, regression, release and evidence repeatable throughout the engagement.
Method
Illuminate the right problem. Engineer the smallest credible path. Leave the system stronger.
Signal — assessment & alignment
A focused assessment creates a shared, evidence-based view of the opportunity.
You leave with a prioritised decision, not a generic slide deck.
- Business objective, system and workflow map
- Risk, constraint and baseline review
- Options ranked by value, effort and reversibility
- Recommended scope, success measures and roadmap
Build — focused delivery
A compact senior team ships the agreed outcome in controlled increments.
Progress is visible in working software and production evidence.
- Architecture and acceptance criteria
- Implementation, testing and deployment
- Observability and before/after evidence
- Documentation and knowledge transfer
Steward — continuous evolution
Ongoing technical stewardship keeps priorities, reliability and architecture aligned.
Your team gains senior continuity without unnecessary management layers.
- Monthly priorities and decision support
- Architecture, delivery and production reviews
- Incident and risk response
- Quarterly roadmap and capability review
Outcome before output
Every engagement has an owner, success measure and explicit acceptance criteria.
Secure by design
Least-privilege access, confidentiality and data boundaries are established early.
No hidden expansion
Scope changes and discoveries are made visible before extra work begins.
Transfer, not dependency
Decisions, runbooks and knowledge remain with your organisation.
Where we add the most value
The strongest work starts with consequential software and a team ready to make decisions.
A strong fit
- Companies with software, data or workflows that materially affect operations
- Teams balancing delivery speed with legacy, reliability or compliance constraints
- Leaders who want clear technical judgment and measurable progress
Probably not a fit
- Procurement based only on the lowest hourly rate
- AI experimentation with no owner, workflow or success measure
- Projects where access, decisions or accountability cannot be established
Engagements
Clear entry points that can grow with the evidence.
Every proposal is shaped around the system, risk and desired outcome. After a 15-minute fit call, we recommend the smallest sensible starting point and provide a transparent scope.
Common starting points
Assessment · 2–8 days
Evidence, risks, options and an executable roadmap.
Focused delivery · 1–6 weeks
A defined technical or operational outcome shipped end to end.
Embedded partnership · monthly
Senior engineering capacity, technical direction and continuity.
Selected work
Anonymised outcomes from senior engineering experience; identifiers are withheld by design.
API performance under real load
Context: A production API showed severe latency spikes during peak traffic and expensive database paths.
Objective: Reduce P95 latency, database time and the risk of silent regressions.
What changed
- Established an APM and log baseline
- Optimised queries, cache strategy and background jobs
- Added service-level dashboards and actionable alerts
Outcome: Core endpoint P95 moved from approximately 1.8s to below 450ms, with stable errors and visible regressions.
Evidence: P95 latency, error rate, database time
Delivery window: 10 days
Legacy PHP modernisation
Context: A business-critical PHP platform had fragile domains, manual releases and unclear ownership.
Objective: Modernise safely without stopping product delivery or forcing a big-bang rewrite.
What changed
- Mapped domains, dependencies and release risk
- Introduced incremental migration boundaries and tests
- Moved critical paths through controlled release phases
Outcome: Critical modules were isolated and monthly high-risk batches became smaller, safer weekly releases.
Evidence: Lead time, incident rate, release frequency
Delivery window: Phased over 3–6 months
Mobile release reliability
Context: A React Native product experienced crash spikes after releases and slow startup on older devices.
Objective: Improve release confidence, crash-free sessions and startup behaviour.
What changed
- Analysed crash clusters and release history
- Profiled startup paths and removed bottlenecks
- Strengthened instrumentation and the release checklist
Outcome: Crash-free sessions moved from roughly 96% to above 99%, while startup and release checks became repeatable.
Evidence: Crash-free sessions, startup time, release checks
Delivery window: 5 days plus follow-up
Questions worth asking
Is Farolum an AI agency or a software consultancy?
Farolum is a software engineering consultancy with applied AI capability. We use AI when it improves a real workflow or product, and conventional engineering when that is the better answer.
How is an engagement led?
Every engagement has a senior technical lead accountable for decisions, quality, communication and the production outcome.
Do you only work with Laravel?
No. Laravel is a strong area of experience, alongside Symfony, Node.js, React, Next.js, Angular, Go, Python, React Native and cloud platforms.
Can you modernise a legacy system without rewriting it?
Yes. We favour incremental boundaries, compatibility and controlled migration unless the evidence clearly supports a rewrite.
How do you approach AI safety and quality?
We establish data boundaries, evaluation criteria, human oversight, observability and cost controls before production use.
Can you work with our internal team?
Yes. Pairing, technical direction, architecture reviews and knowledge transfer are common parts of the work.
Do you work internationally?
Yes. Farolum works remotely with organisations worldwide, adapting communication and delivery to distributed teams.
What happens after the first call?
If there is a fit, you receive a recommended starting point, required access, expected evidence and a clear next step.
Professional standards
- Senior ownership from diagnosis through production and handover.
- Confidentiality, least-privilege access and clear data boundaries.
- Acceptance criteria, written decisions and observable production evidence.
- Direct communication and transparent scope before additional work.
Start a conversation
Tell us what is changing, what is at risk and what a good outcome would look like.
Share the context
Confidential by default. Response within two business days.
Prefer a direct conversation?
Use a short fit call to align the problem, urgency and most sensible next step.
Every proposal is shaped around the system, risk and desired outcome. After a 15-minute fit call, we recommend the smallest sensible starting point and provide a transparent scope.