AI Automation That Replaces Real Manual Work
We build AI-powered systems that actually work in production — from LLM copilots and document processing to predictive analytics and workflow automation.
What are you building?
Tell us what you need — scope and estimate in 24 hours, free.
AI & Automation Services
LLM Integrations
GPT-4, Claude, Gemini — RAG pipelines and copilot features.
AI Chatbots
Context-aware assistants with knowledge base retrieval.
Document Processing
OCR, extraction, classification, and data normalisation.
Predictive Analytics
ML models for forecasting, churn, and anomaly detection.
Workflow Automation
Replace manual processes with event-driven automation.
Computer Vision
Image classification, object detection, and quality inspection.
AI Capabilities
LangChain & LlamaIndex
RAG pipelines, vector stores, and agent orchestration.
Fine-Tuning
Domain-specific model fine-tuning on your proprietary data.
Document Intelligence
Azure Document Intelligence, AWS Textract, and custom OCR.
ML Stack
PyTorch, scikit-learn, Hugging Face, and MLflow.
Model Serving
FastAPI, Triton, SageMaker, and Vertex AI inference.
MLOps
MLflow experiment tracking, model versioning, and drift monitoring.
AI Development Process
Problem Definition
Identify the specific manual task or decision to automate.
Data Assessment
Audit available data quality, quantity, and labelling needs.
Model Development
Baseline model, evaluation metrics, and iterative refinement.
Production Deploy
Model serving, monitoring, and feedback loop integration.
- Figma design source files
- Clean documented codebase
- CI/CD pipeline
- SEO and analytics setup
- Performance report
AI Tech Stack
Systems we've built
Invoice data extraction — 94% accuracy
Replaced a 3-person data entry team extracting fields from supplier invoices. GPT-4o + validation pipeline processes 500 invoices/day with a human review queue for confidence <0.9.
Internal contract knowledge assistant
RAG pipeline over 10,000 legal contracts. Associates ask questions in plain English and get cited answers in seconds — replacing hours of manual search.
Patient intake triage pipeline
AI triage for a telehealth platform — classifying patient symptom descriptions into urgency tiers and routing to the correct specialist queue. Replaced manual admin review.
Why Digital Web Weaver for AI?
Engineering First
We build AI features that work in prod, not just demos.
Measurable ROI
Every AI project defined with measurable success metrics.
Data Privacy
On-premise or private cloud LLM options for sensitive data.
MLOps Included
Model monitoring, drift detection, and retraining pipelines.
Our invoice processing used to take three people 6 hours a day. Now one person reviews the edge cases the AI flags. The accuracy is better than what humans were achieving manually.
What I appreciated was their insistence on measuring accuracy before building. We defined 'success' first, built a PoC, and only proceeded when the numbers were there.
The AI triage feature they built is now one of our core product differentiators. It's not a bolted-on chatbot — it's integrated into every patient flow and the accuracy keeps improving.
An AI Automation and Development Company Built Around Production, Not Demos
As an AI automation and development company based in Vadodara, India, we build systems that replace real manual work in production — not slide-deck demos that break the moment they meet live data. Our clients are teams with a specific, repetitive process worth automating: invoice extraction, contract search, patient triage, or churn forecasting. What sets our approach apart is that we treat AI as an engineering problem first, not a novelty. Every project begins with a measurable success metric and a realistic scope, so you know before a single line of code is written whether the accuracy and the ROI will actually justify the build.
From RAG pipelines to production ML
Most AI work lives or dies on data plumbing, not model choice. We build RAG pipelines over your own documents using LangChain and LlamaIndex with vector stores like Pinecone and pgvector, then serve models through FastAPI so they fit cleanly into your existing stack. The same senior engineers behind our web application development projects handle the ML side too — you can hire a Python developer from our team for fine-tuning, evaluation, and MLOps, or bring us in to add copilot and document-processing features to a SaaS product you already run.
Automation wired into your operations
AI only pays off when it is connected to the systems your team uses every day. We link LLM and automation layers to internal tools and CRM and ERP systems through clean APIs, with monitoring, drift detection, and human-review queues built in from the start. We scope one process, prove the accuracy and ROI on it, then expand — no big-bang rollouts. From our base in India we deliver to teams across the UK, South Africa, and Ivory Coast, on the same timezone-flexible cadence. Book a free discovery session and we will map exactly what is worth automating in your business — and what is not.
AI Development FAQ
Ready to replace manual work with AI?
Free 1-hour discovery session. We'll map your process and tell you what's worth automating — and what's not.