One architecture, applied to every engagement.
Quilantic builds client systems on a consistent five-layer stack. Standardising the architecture is what makes scope predictable, delivery repeatable and each engagement cheaper to build than the last.
- Layers
- Five, including cross-cutting governance
- Deployment
- Google Cloud or in-country
- Capability lines
- 6 across build and advisory
- Ownership
- Source and documentation transferred
A clarification worth making
“Platform” here means the engineering platform Quilantic builds on — a reusable architecture and component library that client systems are assembled from. It is not a licensed software product, and Quilantic does not sell seats on it.
The distinction matters commercially. What compounds is the component library: each engagement in a given domain lowers the cost of the next, which is how an engineering firm earns leverage. That is the trajectory — not a shipped SaaS product, and this site will not describe it as one until there is one.
The five layers.
Every system Quilantic delivers occupies some subset of these layers. A dashboard project may only touch L1, L2 and L4; a document-intelligence system touches all five. The architecture is the same either way.
Data & integration
Getting to the real data, wherever it currently lives.
Connectors into the systems of record already in place, ingestion for the documents and spreadsheets that hold the rest, and pipelines that keep the consolidated view current rather than a snapshot someone exported once.
- System-of-record integrations & APIs
- Document and spreadsheet ingestion
- Scheduled and event-driven pipelines
- Consolidated operational data store
Infrastructure
Where it runs, and who can reach it.
Cloud-native by default on Google Cloud, with in-country deployment available where data residency is a requirement rather than a preference. Separated environments, reproducible builds, and observability from the first deployment rather than after the first incident.
- Google Cloud, or in-country deployment
- Environment separation & reproducible builds
- Observability, logging & alerting
- Access control and secrets management
Intelligence
Reasoning over the operation's own knowledge.
Retrieval across the organisation's corpus, structured extraction from unstructured documents, and agentic workflows that carry multi-step tasks to completion. Every workflow is evaluated against real historical cases before it is allowed to act.
- Retrieval over your document corpus
- Document intelligence & structured extraction
- Agentic workflows — LangGraph, Anthropic SDK
- Evaluation harnesses against real cases
Applications
The surface people actually use.
Internal tools, operational dashboards, portals and approval flows — built for the person doing the job, not for the demo. If the people who own the process will not open it daily, the system underneath has not shipped.
- Internal tools & operational dashboards
- Customer and partner portals
- Approval, exception and review flows
- Reporting people trust enough to act on
Governance
Cutting across every layer above.
Least-privilege access, an audit trail on consequential actions, human approval where judgment or liability sits, and documentation written for the team that inherits the system rather than for the handover meeting.
- Least-privilege access & role separation
- Audit trail on consequential actions
- Human approval at judgment points
- Documentation and source handover
What we are engaged to build.
Six lines of work, all delivered against the same architecture and the same engineering standard. Most engagements combine two or three.
Web & Digital
A presence that earns trust — and converts.
Your website is the first thing a serious buyer checks. We build fast, modern sites and web apps that make you look as capable as you are — and turn visitors into conversations.
Included
- Marketing sites & landing pages
- Web applications & portals
- Booking, payments & e-commerce
- Performance, SEO & analytics baked in
Good fit when: You need a professional presence that actually pulls its weight.
Custom Software Development
Tools built around your process — not the other way around.
Off-the-shelf software forces your team to bend to its assumptions. We build software that fits how you actually operate, retiring the brittle spreadsheets and manual workarounds holding you back.
Included
- Internal apps & dashboards
- System integrations & APIs
- Spreadsheet & manual-process replacement
- Built to be maintained, documented, and yours
Good fit when: Your operation has outgrown spreadsheets and generic tools.
AI Applications & Agents
Put AI to work on real tasks — not demos.
Most “AI” is a chatbot wrapper. We build agentic workflows and document-intelligence systems that read, reason, and act on your real data — the modern AI stack applied to genuine problems.
Included
- Agentic workflows & automation
- RAG over your documents & knowledge
- Document intelligence & extraction
- Built on LangGraph, the Anthropic SDK & GCP
Good fit when: You have a repetitive, judgment-heavy task that should be assisted by AI.
Process Automation
Stop paying people to do what software should.
The weekly report. The data re-keyed between systems. The approval that sits in an inbox. We automate the repetitive work that quietly drains your team's hours every single week.
Included
- Workflow & reporting automation
- Data pipelines & system sync
- Scheduled jobs & alerts
- Integrations between the tools you already use
Good fit when: Your team loses hours every week to work a machine should be doing.
Data & Analytics
Turn your data into decisions.
Data trapped in silos doesn't help anyone. We pull it together into dashboards and reporting that surface trends and trajectories — so you decide on evidence, not gut feel.
Included
- Dashboards & reporting systems
- Trend & trajectory analysis
- Data consolidation & cleanup
- KPIs that actually inform action
Good fit when: You have data everywhere and clarity nowhere.
Consulting & Advisory
Engineering judgment when you need a steer.
Sometimes you don't need a build — you need someone who's done it before to scope the problem, pressure-test the plan, and tell you straight what's worth doing. That's us.
Included
- Technical strategy & architecture
- Scoping & feasibility
- Problem diagnosis & second opinions
- Vendor & build-vs-buy guidance
Good fit when: You need clear-eyed technical direction before you commit budget.
We model the operation before we build the software.
Quilantic is founded by a software engineer and a chemical/process engineer. Process engineering is a discipline for understanding how an operation actually behaves — its throughput, its exceptions, its constraints — before changing it. Applying that discipline to software is the whole method, and it is why the systems reach production.
Map
The operation, as it actually runs
We document the real process — including the exceptions everyone works around and the steps that exist only in someone's head. Nothing is built until the brief is sharp enough to argue with.
Instrument
Connect the systems of record
We integrate the tools already in place and consolidate what is trapped in spreadsheets, documents and inboxes into something queryable and current.
Reason
Intelligence over your own data
Retrieval across the corpus, extraction from documents, and agentic workflows that apply the rules the business already follows — evaluated against real cases, not demo inputs.
Act
The system does the work
It writes back, routes, reports and raises exceptions. People stay in the loop where judgment or liability sits, and only there.
Operate
Monitored, documented, handed over
Live systems are observed and maintained. You receive the source, the documentation and the ability to run it without us — the relationship continues because it is worth continuing.
The measure is operational, not technical
Every engagement is scoped against something the business already tracks — hours returned, cycle time, error rate, reporting lag. A system that improves none of them has not worked, however elegant it is underneath.
The technical detail sits one page across.
Infrastructure choices, the AI stack, evaluation practice and the security posture — written for technical decision-makers rather than for a brochure.
Which layer is your problem in?
Most operational problems turn out to be integration problems wearing an AI costume. Describe the process and we will tell you where it actually sits — and whether it is worth building for.