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.
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 SaaS for fit-out & construction
An AI SaaS platform from drawing to quotation, for English and Chinese-speaking teams.
5-stage connected workflow AI · Workflow automationWorkflow automation platform
AI extraction feeding a deterministic rules engine, with consistency checks built in.
~70% faster document prep AI · Document intelligenceAI document intelligence
Extraction and classification that sends only the exceptions to people.
>80% less manual reviewDoes your quoting still move through disconnected stages?
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 layersShow 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.
Dedicated team
A dedicated team that works as an extension of yours, from first release to scale.
Project-based
A defined scope, milestones and delivery date for a specific product or workflow.
Consulting & advisory
Architecture and readiness advice before you commit to a build.
What our clients say.
“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.”
“Avinya Labs built our full-stack AI solution … Their expertise accelerated our launch and significantly reduced execution risk.”
“Avinya Labs built our AI travel chatbot … A highly capable team that delivers ahead of the curve.”
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.
Or email contact@avinyalabs.co