Technology
We build AI assistants that answer from approved knowledge, automations that move routine work, data pipelines that organise information, and web systems that turn demand into action.
What we build
Start with the slow process, missed opportunity or information gap. We choose the simplest technology that can solve it reliably.
AI assistants + RAG
Build sales, support and internal assistants that search the right documents or connected systems before answering. Add human handover where judgement is required.
Customer service · sales support · internal knowledge
Automation + agents
Connect forms, messages, CMS publishing, reporting and follow-up. Use a fixed n8n workflow when the path is predictable, or an AI agent when the work requires a decision.
Leads · content · reporting · operations
Data + research systems
Collect permitted data, clean it, classify it and make it searchable. Build monitoring, dashboards and research pipelines around the questions your team needs to answer.
Research · monitoring · classification · dashboards
Web + commerce engineering
Create fast websites, Shopify Liquid sections, custom apps, portals and API integrations. Keep the front end, back end and commercial objective connected.
Websites · Shopify · portals · custom applications
Engineering stack
These are tools we can combine—not a shopping list forced into every project. Architecture follows the business requirement.
AI, models and retrieval
Choose the model and knowledge layer around privacy, accuracy, speed and cost.
Automation and integration
Use a visual workflow for predictable steps and custom code when the process needs more control.
Software engineering
The languages and frameworks behind data pipelines, back ends, interfaces and custom applications.
Commerce and content platforms
Work with the platform you already own, then extend it where standard settings stop.
Data, delivery and operations
Store information properly, deploy predictably and keep the build reviewable after launch.
Platform names and marks belong to their respective owners. Their inclusion does not imply endorsement or partnership.
Built in-house
The capability is not theoretical. Our own website, research systems and measurement tools are built and operated by the same team that scopes client work.
This site uses Next.js and React, is delivered through Cloudflare, and supports regional sites from one maintained codebase.
NEXT.JS · REACT · CLOUDFLAREPython and Node pipelines collect permitted information, organise evidence and prepare it for analysis, retrieval and practical decisions.
PYTHON · NODE · RETRIEVALFirst-party tracking and connected reporting help separate visibility, visits, contact actions and confirmed outcomes instead of blending them into one claim.
FIRST-PARTY · EVENTS · EVIDENCEHow we choose
We match the tool to the behaviour the system must perform, the information it may access and the way your team will maintain it.
The steps never change
A form arrives, data is checked, the right person is alerted and the record is updated.
The work requires judgement
The system reads the request, uses approved tools, checks the result and hands over when confidence is low.
Answers must use your information
The assistant retrieves approved documents or records before it responds, instead of relying on model memory alone.
Sensitive data should stay close
Run an open model on your machine or controlled server when the use case and hardware make that the better choice.
The rules must be exact
Use Python, Node.js or a purpose-built application when a generic platform would create fragile workarounds.
The store already runs on Shopify
Extend the existing storefront, theme and APIs instead of forcing a rebuild without a business reason.
Human responsibility
We define the permissions, approved information, review points and handover rules before an automated system touches live work.
Our team remains responsible for the recommendation, implementation and accuracy of anything published in a client's name. If a simpler rule or human step is safer, we say so.
Technology FAQ
SingRank builds AI assistants, RAG systems, n8n workflows, data pipelines, APIs, dashboards, portals, websites and Shopify customisations. The exact stack is chosen after the business process, access, privacy needs and maintenance requirements are understood.
Not as a default claim or default solution. We can prepare AI training data and scope custom model work, but many business problems are better solved with RAG, a hosted model or a local open model connected to approved information.
RAG lets an AI assistant search approved documents or connected data before answering. It is useful when the answer should come from your policies, product information, knowledge base or other controlled sources rather than model memory alone.
Yes, when the use case and available hardware are suitable. We can run open models locally with tools such as Ollama. Hosted models may still be the better option when the work needs stronger reasoning, faster setup or easier scaling.
Use n8n when the workflow follows a visible and predictable path between supported systems. Use custom software when the rules are complex, the volume is high, the interface must be purpose-built or a platform cannot provide the required control.
Start with a simple conversation
We will help you understand what may be holding your business back and which next step makes sense.
SingRank