--- title: AI for Construction and Fit-Out: Drawing to Quotation SaaS | Avinya Labs description: AI for construction by Avinya Labs: a SaaS platform taking fit-out projects from drawing to quotation in English and Chinese, with Stripe payments and AI model orchestration. url: /service-pages/industry-construction.html --- Industries / Construction # AI for construction, from drawing to quotation. A connected workflow that takes a fit-out project from drawing to quotation, built for English and Chinese-speaking teams and sold as a SaaS product. [Book a call](https://calendly.com/abbylester/30-mins-meeting) [Contact sales](https://calendly.com/abbylester/30-mins-meeting) [5-stage Connected workflow](/case-studies/construction-fitout-ai-platform.html) [EN / ZH Multi-language support](/case-studies/construction-fitout-ai-platform.html) [SaaS With Stripe payments built in](/case-studies/construction-fitout-ai-platform.html) ## What we built for construction. An AI SaaS platform for fit-out and construction. ### Drawing to quotation A 5-stage connected workflow, from drawing takeoff through to the final quotation. ### English and Chinese Multi-language support so mixed teams work in one system. ### SaaS with payments Built as a subscription product, with Stripe handling payments. ### Model orchestration OpenRouter routes requests across AI models. ### Quality and cost monitoring Langfuse traces every model call, so quality and cost can be tracked. ### Support after launch The team stayed on after launch, including fixing a critical issue late at night. ## What else we can build for construction. Capabilities we offer. We have not delivered these in this industry yet. ### Procurement support Material lists matched to suppliers, with prices compared for approval. ### Document control Drawings, specifications and submittals organised and searchable. ### Site reporting Photos and notes turned into structured daily reports. ### Change order tracking Changes captured, priced and approved in one place. ## Our construction work, and related systems. Each result comes from a delivered engagement. AI · Construction ### AI SaaS for fit-out & construction An AI SaaS platform from drawing to quotation, for English and Chinese-speaking teams. 5-stage connected workflow Link: /case-studies/construction-fitout-ai-platform.html AI · Workflow automation ### Workflow automation platform AI extraction feeding a deterministic rules engine, with consistency checks built in. ~70% faster document prep Link: /case-studies/ai-workflow-automation.html AI · Document intelligence ### AI document intelligence Extraction and classification that sends only the exceptions to people. >80% less manual review Link: /case-studies/enterprise-document-intelligence.html ## Does your quoting still move through disconnected stages? [Book a call](https://calendly.com/abbylester/30-mins-meeting) ## The technology behind our AI systems. The right stack depends on the model, the data, the architecture and where it runs. ### Generative AI and large language models Models, chosen per task - OpenAI - Anthropic Claude - Google Gemini - Meta Llama - Mistral AI - Cohere - Hugging Face - OpenRouter - LangChain - LlamaIndex ### AI agents and orchestration Tools, steps and handover - LangGraph - AutoGen - CrewAI - Semantic Kernel - Agentic workflows - Tool calling - Function calling - Multi-agent systems ### Vector databases and semantic search Grounded answers from your content - Pinecone - Weaviate - Milvus - Qdrant - Chroma - pgvector - Elasticsearch vector search ### AI integration and APIs Connecting to your systems - REST APIs - GraphQL - Webhooks - Microservices - API gateways - SDK integrations - Third-party AI APIs ### Cloud and AI infrastructure Where it runs - AWS - Microsoft Azure - Google Cloud - Amazon SageMaker - Azure Machine Learning - Google Vertex AI - Databricks ### AI evaluation and observability Quality and cost, measured - Model evaluation - Prompt testing - Hallucination detection - Latency monitoring - Cost tracking - Output quality assessment - AI observability - Langfuse Show the full stack 12 more layers Show fewer layers ### Programming languages What the code is written in - Python - Java - JavaScript - TypeScript - C++ - R - Go - SQL - Swift - Kotlin ### AI and machine learning frameworks Training and running models - TensorFlow - PyTorch - Scikit-learn - Keras - XGBoost - LightGBM - JAX - Hugging Face Transformers ### Natural language processing Understanding text - Text classification - Sentiment analysis - Named entity recognition - Text summarization - Semantic search - Question answering - Embeddings ### Computer vision Understanding images and video - OpenCV - YOLO - Detectron2 - Image classification - Object detection - OCR - Image segmentation - Facial recognition - Video analytics ### Speech and voice AI Listening and speaking - Speech-to-text - Text-to-speech - Voice recognition - Voice assistants - Conversational voice AI - Audio processing ### Data engineering and processing Moving and preparing data - Apache Spark - Pandas - NumPy - Apache Kafka - Apache Airflow - Databricks - dbt ### Databases and data storage Where the data lives - PostgreSQL - MySQL - MongoDB - Redis - Microsoft SQL Server - Amazon DynamoDB - Elasticsearch - Snowflake ### Containers and orchestration Deploying and scaling - Docker - Kubernetes - Amazon EKS - Azure Kubernetes Service - Google Kubernetes Engine - Terraform ### MLOps and model operations Keeping models healthy - MLflow - Kubeflow - DVC - Model versioning - Model monitoring - CI/CD pipelines - Automated retraining - Performance tracking ### Backend development Services and business logic - Node.js - Django - FastAPI - Flask - Spring Boot - .NET - Express.js ### Frontend and application development What people use - React - Next.js - Angular - Vue.js - React Native - Flutter - Android - iOS ### Development and collaboration tools How we ship - Git - GitHub - GitLab - Bitbucket - Jenkins - Jira - Postman Used in our delivered platforms ## From first use case to production. Four stages, with a working version reviewed at each one. ### Discovery Map the quoting process, the systems and data involved, and what good looks like. Discovery notes - Your stages from drawing to quote - Languages and teams - Commercial model ### Scope & architecture Agree the architecture, success measures and delivery milestones. Solution design - Platform architecture - Model and payment choices - Release milestones ### Build Build against real data, with a working version reviewed at each milestone. Working build - Working platform on real projects - Team review - Quality checks ### Ship & support Roll out to production with monitoring and a defined support window. Production rollout - Production launch - Monitoring - Support window ## Why Avinya for construction. We built and support a construction SaaS product. ### Delivered, not theoretical A live SaaS platform for fit-out and construction. ### Product, not just a tool Payments, languages and monitoring built in, ready to sell. ### Models that can change Orchestration means AI models can be swapped without a rebuild. ### We stay after launch In the client's words, the team stayed up until midnight to fix a critical issue. ## Engagement models. Pick the shape that fits where you are. Ongoing ### Dedicated team A dedicated team that works as an extension of yours, from first release to scale. Fixed scope ### Project-based A defined scope, milestones and delivery date for a specific product or workflow. Advisory ### Consulting & advisory Architecture and readiness advice before you commit to a build. ## What our clients say. AI SaaS for construction > “We needed a platform that could handle complex construction workflows without breaking down every week. Avinya Labs delivered exactly that. What stood out even more was their commitment after launch: when a critical issue came up, the team stayed up until midnight to make sure we weren't left hanging.” JohnCEO, Craft X Result 5-stage Connected workflow [Read case study →](/case-studies/construction-fitout-ai-platform.html) AI platform for an insurance broker > “Avinya Labs built our full-stack AI solution … Their expertise accelerated our launch and significantly reduced execution risk.” SandraProject lead, Insurance broker [Read case study →](/case-studies/ai-platform-insurance-broker.html) AI chatbot for a travel platform > “Avinya Labs built our AI travel chatbot … A highly capable team that delivers ahead of the curve.” LauraCo-founder, Travel platform [Read case study →](/case-studies/ai-travel-chatbot.html) ## AI for construction FAQs. ### What does the platform do? It takes a fit-out or construction project from drawing to quotation through 5 connected stages, in English and Chinese. ### Can we sell it as our own product? The platform we built is a SaaS product with Stripe payments. Ownership and licensing are agreed in the contract. ### How do you control AI costs? Every model call is traced with Langfuse, so quality and cost can be monitored, and OpenRouter lets models change without a rebuild. ### Where should we start? With one task where the data exists and the risk is contained. We map it, agree what good looks like, and build a working version you can review before anything scales. ### How do you handle our data? Access is scoped to what the system needs, with role-based permissions and audit trails where records change. We agree data handling during discovery. ## Ready to turn your vision into reality? Tell us the problem, the data, and where manual effort sits today. We'll map the path from MVP to scale. [Book a call](https://calendly.com/abbylester/30-mins-meeting) [See the work](/work/index.html) Or email [contact@avinyalabs.co](mailto:contact@avinyalabs.co)