AI Systems That Actually Ship
We build production-ready ML and data systems—computer vision pipelines for pharmaceutical manufacturing, RAG platforms for financial research, and analytics dashboards.
Every system we deliver includes audit trails, sub-100ms latency, automated testing, and documentation your team can actually use.
Five years building systems that pass audits and run in production. Not prototypes.
Services
What We Build
Production systems built with the same stack we use for pharma and fintech clients.
RAG & LLM Systems
We build retrieval-augmented generation pipelines for knowledge automation—financial research, document Q&A, and intelligent agents.
- Vector search with Pinecone or Weaviate for semantic retrieval
- LangChain and LlamaIndex for multi-step reasoning
- LLM observability using LangSmith and MLflow
- FastAPI backends with role-based auth and continuous testing
Recent work: Financial analytics RAG system automating accounting document research with OpenAI API, Pinecone, and AWS DocumentDB.
Computer Vision & MLOps
We deploy vision systems for quality control and automated inspection in regulated industries.
- ONVIF camera control and adaptive RTSP streaming
- MQTT messaging for real-time event processing
- FDA 21 CFR Part 11 compliant audit trails and metadata schemas
- Kubernetes orchestration with sub-100ms latency
Recent work: Built interactive camera placement optimization 3D model and image capture components for pharmaceutical manufacturing monitoring and quality control platform.
Data Platforms & Analytics
We build modular data pipelines that connect SQL databases, data lakes, and BI dashboards—with governance baked in.
- Azure Data Factory and Synapse for ETL/ELT workflows
- dbt for transformation and data modeling
- Power BI and Streamlit for analytics and visualization
- Data quality checks and automated testing
Recent work: Digital Maturity Dashboard for Caribbean Export Development Agency, processing survey analytics across MSME ecosystems.
Our Process
How We Work
Built from shipping systems at scale for pharma, fintech, and government clients.
Discovery
We start with your business problem, existing infrastructure, and constraints. What needs to work in production? What compliance requirements do you have? What does your team need to maintain this?
Design
Architecture diagrams, proof-of-concepts, and technical specs before production code. You'll see the data flows, tech stack decisions, and deployment strategy upfront.
Build
Two-week sprints with FastAPI, Docker, and CI/CD from day one. Automated tests, structured logging, and monitoring dashboards—not just features.
Operate
Knowledge transfer sessions, runbooks, and documentation. Your team gets the context to maintain and evolve the system after we're gone.
Discovery
We start with your business problem, existing infrastructure, and constraints. What needs to work in production? What compliance requirements do you have? What does your team need to maintain this?
Design
Architecture diagrams, proof-of-concepts, and technical specs before production code. You'll see the data flows, tech stack decisions, and deployment strategy upfront.
Build
Two-week sprints with FastAPI, Docker, and CI/CD from day one. Automated tests, structured logging, and monitoring dashboards—not just features.
Operate
Knowledge transfer sessions, runbooks, and documentation. Your team gets the context to maintain and evolve the system after we're gone.
Featured Work
Portfolio Projects
Open-source demonstrations of production patterns.
CineRAG: Production RAG System
Movie recommendation engine using RAG, Weaviate vector search, and semantic retrieval. Demonstrates caching strategies and query optimization at scale.
ChronoSense AI: Time Series Forecasting
End-to-end sales forecasting platform achieving 4.64% MAPE using automated feature engineering and model selection.
E-Commerce Analytics Platform
Open-source BI solution with Supabase (PostgreSQL), dbt for transformations, and Metabase for dashboards. Star schema modeling with zero licensing costs.
Featured Case Study
Digicel: First In-House Churn Prediction Model
Built Digicel Group's first in-house churn prediction model, integrating predictions into their Oracle Data Warehouse and creating a feedback-driven retraining loop.
The model identified at-risk customers early enough for targeted retention campaigns. Marketing teams got actionable insights, not just risk scores.
Read the case studyReady to Ship Something Real?
Book a 30-minute call. We'll discuss your problem, whether we're the right fit, and what a production system actually requires. No sales pitch. Just honest technical conversation.