Working systems, running in production
We do not sell experiments. Below is a selection of systems currently handling live traffic and measurable business processes.
Built, deployed, and running in production
We would rather show you three systems carrying real traffic than a slide of logos. Each of these is a working deployment with a measurable operating change behind it.
2–3 Hours → ~3.5 Min | 100% Rubric & Evidence Grounded
BakPak Learning Platform
An AI assessment and evaluation platform on AWS using Bedrock and LangGraph generator–reflector agents that cuts research-paper grading from 2–3 hours to 3.5 minutes with verifiable citations.
20+ GenAI Tasks in Production | 84 Live Tools
Multi-Office US Legal Practice
Generative AI solution on Amazon Bedrock for document processing, immigration form preparation, court notice extraction, and a multi-agent legal Copilot.
Weeks → Minutes: Governed Zero-Code AI Compliance Workflows
GRC Technology Company
A multi-tenant generative AI agent and workflow platform on AWS that enables non-specialist teams to automate security checks and audit readiness in minutes.
Days → < 15 Min | < $2 Per Deep Research Query
CPG Intelligence Platform
An agentic AI co-founder platform on AWS that cuts CPG brand research and commercial workflows from weeks to under 15 minutes at less than $2 per comprehensive query.
RAG-based medical chatbot with emergency assistance
Healthcare Technology Provider
Built a custom RAG chatbot that collects patient data, provides AI-driven medical insights from a vector database, identifies critical conditions, and locates nearby hospitals.
RAG chatbot for CPG entrepreneurship guidance
CPG Industry Expert
Built a RAG chatbot using ChromaDB with 750-token chunking, admin panel for knowledge management, YouTube/blog auto-ingestion, and user feedback loops for continuous improvement.
70%
reduction in analysis time
Global Media Monitoring Firm
Built a speech analysis tool using LDA topic modeling, sentiment analysis, NER, and interactive visualizations in Streamlit for political and corporate speech monitoring.
70%
fewer data team tickets, 4x faster insights
Mid-Sized Enterprise
Built a full-stack NL2SQL pipeline enabling non-technical users to query MySQL in natural language with schema auto-discovery, conversational context, and automated chart suggestions.
70%
reduction in documentation time
GGZ Noord-Holland-Noord
Built an AI system for GGZ Noord-Holland-Noord that transcribes consultations with fine-tuned Whisper, generates clinical summaries with QLoRA Qwen2.5, and extracts ICD codes automatically.
Predictive forecasting replacing reactive inventory management
Supply Chain Solutions Provider
Built ML models using LSTM, XGBoost, and Prophet for inventory demand forecasting, lead time prediction, proactive stockout alerts, and an interactive real-time dashboard.
Hours of assessment creation reduced to seconds
Bakpak.ai
Built an AI-powered assessment platform for Bakpak.ai using Amazon Bedrock Claude that generates questions from uploaded content, grades automatically, and scales from schools to universities.
AI-driven trend detection with automated subscriber delivery
Subscription Intelligence Platform
Built a subscription platform with LLM-powered trend classification, hash deduplication, PostgreSQL domain schemas, and Celery-driven email delivery.
15-20%
reduction in electricity procurement costs
Enterprise Energy Platform
Built a predictive EMS that forecasts consumption across 96 daily half-hour slots, predicts IEX prices, and automates procurement bidding decisions.
70%
reduction in document search time
State Transportation Agency
Built a domain-specific RAG platform for a state transportation agency with Microsoft OAuth, Stripe payments, OCR, and interactive dashboards.
Real-time trend tracking across Cybersecurity, Healthcare, Finance
Domain-Specific News Intelligence
Built a scalable platform that aggregates content from RSS and Reddit, classifies trends using LLM, deduplicates articles, and delivers branded email updates.
70%
better candidate matching, 50% faster search
AI-Powered Resume Search Platform
Built an LLM-powered resume search platform replacing keyword matching with semantic querying across thousands of resumes.
What our deployments have in common
The industries vary, but the shape of the engineering does not. We build systems that are designed to be observable, compliant, and integrated.
Full observability & trace
We never deploy "black boxes". Every agent action, extraction, and API call is logged, traceable, and available for audit or human-in-the-loop review.
Human-in-the-loop routing
Confidence thresholds are configured per-client. High confidence executes automatically; low confidence or edge cases are neatly routed to your human experts.
Direct legacy integration
We do not ask you to change your systems to suit the AI. We build the integration layers so the agents read and write exactly where your humans do today.
About our case studies
Recognise your process in one of these?
The architecture transfers even when the industry does not. Tell us what you are trying to change and we will tell you which of these it most resembles.
