Aiden Solutions
A technician standing in front of a commercial HVAC unit does not have time to search a 400-page manual. Aiden gives them the answer in seconds, from the manual itself.
Industry: Technology, Customer Support, Industrial | Stack: Next.js, Supabase, TypeScript, NLP APIs, Vercel | Status: Live | Visit Aiden Solutions
what Aiden Solutions does#
Aiden is an AI-powered technical support platform that converts an organization's documentation into a live, conversational knowledge base. Clients upload manuals, product specifications, compliance codes, FAQs, and training materials. Aiden builds a searchable AI assistant trained exclusively on that content. When someone asks a question, it answers from the documentation, not the open internet.
The result is 24/7 technical support that knows the client's products. Deployed across web, mobile, and intranet channels.
the documentation problem#
Every organization with complex products runs into the same knowledge bottleneck. The information exists. It lives in PDFs, product manuals, compliance handbooks, and training decks scattered across shared drives and filing cabinets. The people who need that information are in the field, on the phone with a customer, or troubleshooting at 2 AM.
Traditional search does not solve this. A search for "pressure valve calibration procedure model X-7200" returns a 60-page PDF. The technician still has to find the right section, interpret the context, and hope the manual is the current revision.
Aiden was built to close that gap. The AI reads the full document corpus, understands context and relationships between concepts, and returns direct answers with source references. The technician asks a question in plain language and gets a usable answer in seconds. The customer support agent pastes a query and gets the same quality of response that used to require escalation to a senior engineer.
For the industries Aiden serves, HVAC, manufacturing, heavy equipment, medical devices, mining, and compliance, slow access to technical knowledge has a real cost: trucks rolling to the wrong site, equipment downtime, compliance violations, and repeat customer calls that erode margins.
what we built#
We designed and built Aiden from ideation through production deployment, covering UI/UX design, frontend development, backend architecture, and AI integration.
The core of the product is the document ingestion pipeline. Clients upload entire libraries of manuals, specifications, and codes. The system chunks content, builds embeddings, and indexes relationships between sections, creating a knowledge base trained exclusively on that client's documents. No cross-contamination between accounts, no internet data mixed in.
The retrieval side was the interesting design problem. When a user asks a question, Aiden does not generate an answer from a general model. It retrieves relevant passages from the client's corpus and grounds its response in that specific content. Every answer traces back to the source document and section. That traceability matters for compliance-regulated industries where the origin of technical guidance is not just useful but required.
Field technicians often cannot describe a problem in text alone, so we added in-chat image sharing. A user can photograph a component, an error message, or a nameplate and share it alongside their question. The AI uses the visual context to improve response accuracy.
We also built an analytics layer that tracks every query and surfaces patterns. When multiple users ask variations of the same unanswered question, the dashboard flags the gap. Documentation teams can see not just what Aiden is answering, but what it cannot answer because the documentation is missing it.
Architecture:
- Next.js App Router with TypeScript for the application layer
- Supabase for authentication, database, and real time capabilities
- NLP pipeline for document processing, embedding generation, and retrieval-augmented generation
- Stripe integration for subscription billing
- Vercel deployment with edge functions
- Custom branding system allowing each client to white-label their instance
results#
- 24/7 automated technical support across 7+ industry verticals: trades, manufacturing, compliance, and medical equipment
- Live in production with active clients in Australia
- Delivered the full product, UI/UX through backend and AI integration, from the first conversation to launch
Building AI-powered support or a knowledge base product? See our Agentic AI service or book a free Automation Audit.
