--- title: AI Development Company | Agents, Document AI, Voice AI | Avinya Labs description: AI development by Avinya Labs: AI agents, document intelligence, voice AI, chatbots, AI SaaS and workflow automation, built into real business systems and measured against real workflows. url: /service-pages/service-ai-development.html --- Services / AI Development # AI development that ships to production. Agents, document intelligence, voice AI and automation, built into the systems you already run and measured against real workflows. [Book a call](https://calendly.com/abbylester/30-mins-meeting) [See the work](/service-pages/service-ai-development.html#solutions) [>80%Reduction in manual document review](/case-studies/enterprise-document-intelligence.html) [~2.5x Faster processing speed](/case-studies/ai-platform-insurance-broker.html) [~70%Faster document prep](/case-studies/ai-workflow-automation.html) ## AI development services. Twelve ways we build with AI. The first seven are backed by delivered work. ### Document intelligence Extraction and classification that sends only the exceptions to people. Explore → Link: /service-pages/service-ai-document-intelligence.html ### Voice AI agents Live call agents for scheduling, verification and follow-up, with a human escalation path. Explore → Link: /service-pages/service-ai-voice-ai.html ### AI workflow automation AI extraction paired with deterministic business rules, for consistent output. Explore → Link: /service-pages/service-ai-workflow-automation.html ### AI agents & agentic AI Agents that retrieve, reason and act across systems, with approval before high-stakes actions. Explore → Link: /service-pages/service-ai-agent-platforms.html ### AI chatbots Support and booking assistants that answer from live data, around the clock. Explore → Link: /service-pages/service-ai-chatbots.html ### AI SaaS development AI-powered software products, from first lovable release to scale. Explore → Link: /service-pages/service-ai-saas.html ### AI integration & support AI connected to your data and tools, then monitored and tuned in production. Explore → Link: /service-pages/service-ai-integration.html ### Generative AI & LLM development Products and features built on large language models. Explore → Link: /service-pages/service-ai-generative-llm.html ### LLM fine-tuning Adapting models to your domain, terminology and output formats. Explore → Link: /service-pages/service-ai-llm-fine-tuning.html ### AI POC development A focused proof of concept that tests an AI idea against real data. Explore → Link: /service-pages/service-ai-poc.html ### Predictive analytics Models that forecast outcomes from your historical data. Explore → Link: /service-pages/service-ai-predictive-analytics.html ### Computer vision Systems that read and interpret images, scans and video. Explore → Link: /service-pages/service-ai-computer-vision.html ## How it works. An illustrative replay based on a delivered engagement, using sample data. ## AI solutions we have shipped. Each result comes from a delivered engagement. 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 AI · Agent platforms ### AI agent platform Agents retrieve, reason and act across systems, with human approval before high-stakes actions. ~40% less manual effort Link: /case-studies/enterprise-ai-agent-platform.html AI · Healthcare ### Multi-agent voice AI Live voice agents for scheduling, verification and follow-up calls, escalating to a person when needed. ~50% fewer manual handling cases Link: /case-studies/multi-agent-voice-ai.html AI · Legal ### Research & review assistant Citation-grounded answers, each one traced back to its source document. ~50% faster review time Link: /case-studies/ai-legal-assistant.html AI · Insurance ### Full-stack AI platform for insurance Fragmented policy, claims and correspondence data connected into one structured workflow. ~2.5x faster processing Link: /case-studies/ai-platform-insurance-broker.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 ## Have an AI idea you want to test against real data? [Book a call](https://calendly.com/abbylester/30-mins-meeting) ## Industries we have delivered AI in. Each one links to the engagement behind it. [Healthcare Case study →](/case-studies/multi-agent-voice-ai.html) [Legal Case study →](/case-studies/ai-legal-assistant.html) [Insurance Case study →](/case-studies/ai-platform-insurance-broker.html) [Travel Case study →](/case-studies/ai-travel-chatbot.html) [Construction Case study →](/case-studies/construction-fitout-ai-platform.html) [Business operations Case study →](/case-studies/enterprise-ai-agent-platform.html) ## The technology behind our AI systems. The right stack depends on the model, the data, the architecture and where it runs. Programming languages - Python - Java - JavaScript - TypeScript - C++ - R - Go - SQL - Swift - Kotlin AI and machine learning frameworks - TensorFlow - PyTorch - Scikit-learn - Keras - XGBoost - LightGBM - JAX - Hugging Face Transformers Generative AI and large language models - OpenAI - Anthropic Claude - Google Gemini - Meta Llama - Mistral AI - Cohere - Hugging Face - OpenRouter - LangChain - LlamaIndex AI agents and orchestration - LangGraph - AutoGen - CrewAI - Semantic Kernel - Agentic workflows - Tool calling - Function calling - Multi-agent systems Natural language processing - Text classification - Sentiment analysis - Named entity recognition - Text summarization - Semantic search - Question answering - Embeddings Computer vision - OpenCV - YOLO - Detectron2 - Image classification - Object detection - OCR - Image segmentation - Facial recognition - Video analytics Speech and voice AI - Speech-to-text - Text-to-speech - Voice recognition - Voice assistants - Conversational voice AI - Audio processing Data engineering and processing - Apache Spark - Pandas - NumPy - Apache Kafka - Apache Airflow - Databricks - dbt Databases and data storage - PostgreSQL - MySQL - MongoDB - Redis - Microsoft SQL Server - Amazon DynamoDB - Elasticsearch - Snowflake Vector databases and semantic search - Pinecone - Weaviate - Milvus - Qdrant - Chroma - pgvector - Elasticsearch vector search Cloud and AI infrastructure - AWS - Microsoft Azure - Google Cloud - Amazon SageMaker - Azure Machine Learning - Google Vertex AI - Databricks Containers and orchestration - Docker - Kubernetes - Amazon EKS - Azure Kubernetes Service - Google Kubernetes Engine - Terraform MLOps and model operations - MLflow - Kubeflow - DVC - Model versioning - Model monitoring - CI/CD pipelines - Automated retraining - Performance tracking AI integration and APIs - REST APIs - GraphQL - Webhooks - Microservices - API gateways - SDK integrations - Third-party AI APIs Backend development - Node.js - Django - FastAPI - Flask - Spring Boot - .NET - Express.js Frontend and application development - React - Next.js - Angular - Vue.js - React Native - Flutter - Android - iOS AI evaluation and observability - Model evaluation - Prompt testing - Hallucination detection - Latency monitoring - Cost tracking - Output quality assessment - AI observability - Langfuse Development and collaboration tools - Git - GitHub - GitLab - Bitbucket - Jenkins - Jira - Postman ## From idea to production. Four stages, with a working version reviewed at each one. ### Discovery Map the workflow, the systems and data involved, and what good looks like. Discovery notesDone - The workflow to improve - Systems and data involved - How success is measured ### Scope & architecture Agree the architecture, success measures and delivery milestones. Solution designDone - Architecture and model choice - Integration points - Delivery milestones ### Build Build against real data, with a working version reviewed at each milestone. Working buildDone - Built against real data - Evals on representative cases - Review at each milestone ### Ship & support Roll out to production with monitoring and a defined support window. Production rolloutDone - Production deployment - Monitoring - Defined support window ## Why Avinya for AI. Built for real operations, measured against real results. ### Results you can check Every number on this page links to the engagement it came from. ### People stay in control Approval checkpoints, escalation paths and exception review are designed in from day one. ### Traceable by default Citations, audit trails and logs, so outputs can be verified rather than trusted blindly. ### Production, not demos Built to run against real systems and real data, with monitoring once live. ### Full-stack delivery Data pipelines, models, product and integrations from one team. ### AI and Web3 under one team One studio for AI systems and, where it helps, on-chain infrastructure. ## Results from our AI work. Each number links to the engagement it came from. >80% Reduction in manual document review Document intelligence → Link: /case-studies/enterprise-document-intelligence.html ~2.5x Faster processing speed Insurance AI platform → Link: /case-studies/ai-platform-insurance-broker.html ~70% Faster document prep Workflow automation → Link: /case-studies/ai-workflow-automation.html ## 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 development FAQs. ### What kinds of AI systems do you build? AI agents, document intelligence, voice AI, chatbots, workflow automation and complete AI SaaS products, usually connected into existing business systems. ### Which AI models do you use? We evaluate models against your real workflow and choose per task. The architecture is designed so models can change later without rebuilding the product. ### How long does a project take? It depends on scope and integrations. We agree milestones up front and review a working version at each one. ### 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. ### Can you work with our existing product and team? Yes. We can add AI into an existing product, work alongside your engineers, or run the build end to end. ## 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)