Rapid set-up
Teams manage chatbots and shareable links from one dashboard, upload PDF, DOC, TXT, or PPTX files and publish assistants in minutes.
SpeakToFile
With Dev Centre House’s 14+ years of global product delivery, Dev House Australia built SpeakToFile, an AI platform that turns brochures, pricing sheets, and policies into shareable assistants with source citations, downloads, and multilingual Q&A for sales and support teams. Australian enterprises and startups in Sydney, Melbourne, and Brisbane trust Dev House Australia for the same delivery rigour.
- Artificial Intelligence
- Web Development
- Document Processing
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About the client
SpeakToFile helps organisations replace static document sends with conversational assistants. Teams upload brochures, policies, manuals, and pricing files, then share unique links so prospects and colleagues ask questions and get answers grounded in the uploaded content, with previews, downloads, and highlighted sources.
The product serves real estate, insurance, HR, and sales enablement across Ireland and the UAE. Enterprise buyers expect traceable citations, secure storage, and analytics they can trust when content drives revenue.
The challenge
Sales and support teams lost hours re-answering questions already covered in brochures and FAQs. Slow replies meant dropped leads; leaders lacked insight into which pages drove interest; language mismatches reduced clarity for international prospects.
SpeakToFile needed instant, accurate retrieval from existing files, scalable outreach, and a dashboard for bots, links, analytics, and notifications, without adding headcount. Dev House Australia was engaged to design, build, and harden the full stack for production uptime and compliance-aware data handling.
The solution
Dev House Australia delivered an organisation dashboard and AI assistant layer on AWS, Angular, Nest.js, MySQL, and vector storage, with the provenance and security posture regulated document workflows require:
Smart Document Chat
Prospects ask natural-language questions and receive cited answers with references back to the exact passages in source documents.
Analytics & Insights
Usage analytics reveal what prospects care about; data is stored securely to support privacy and protection requirements.
Lead Generation & Notifications
Real-time answers keep buyers engaged; optional email alerts notify teams when prospects interact so no warm lead is missed.
Available 24/7
Architecture targets 99.9% uptime so shared assistant links stay available for global prospects and distributed sales teams.
Multi-language Support
Assistants respond across 50+ languages so document knowledge reaches audiences without manual translation projects.
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Get startedKey features (scope of work)
Scope of Work: Web Development, Artificial Intelligence
Project Duration: 2024, Present
Technologies used
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Amazon Web Services -
Angular -
Nest.js -
Artificial Intelligence -
Vector Storage -
MySQL
Process followed
- 01
Discovery & Requirement Gathering
Workshops captured sales and support pain points, response time, lead drop-off, analytics gaps, and multilingual requirements.
- 02
Design & Prototyping
Wireframes and flows prioritised fast upload-to-link publishing and a chat UI that surfaces citations without clutter.
- 03
Development
Iterative delivery covered RAG-style retrieval, uploads, Nest.js APIs, Angular dashboard, analytics, and notification hooks.
- 04
Testing & QA
QA across document types and languages validated answer accuracy, citation behaviour, and performance under load.
- 05
Launch & Continuous Improvement
Since 2024, releases added email alerts, subscription options, and refinements driven by customer and prospect feedback.
Team assigned
- Project Manager
- AI Engineer
- Frontend Developer
- Backend Developer
- QA Engineers
- Sales & Support
Outcome results
Clients share assistants via email, WhatsApp, and other channels; prospects engage directly with brochures and pricing content before sales calls. Repetitive product questions shift to the assistant, freeing teams to close deals.
Organisations report faster, more personalised responses, fewer support tickets, and stronger reach in multiple languages. For Australian teams building AI document assistants with audit trails and verified sources, this case study shows how Dev House Australia delivers production AWS, Angular, and Nest.js platforms relevant to Sydney, Melbourne, Brisbane, and international markets.
For more information about SpeakToFile, check out SpeakToFile .
Book your project consultation today
Planning an AI document assistant, RAG platform, or enterprise knowledge bot? Book a call with Dev House Australia to scope architecture, compliance, and delivery with our global team.
