Services
What we build. How we build. Who we build for.
We work across the full stack, from silicon to cloud. You will not need six vendors to ship one product.
AI & Machine Learning
Custom model development, data pipelines, and production ML systems — not wrappers around someone else's API.
Custom AI/ML systems — model development, fine-tuning, and deployment for the specific problem in front of us.
Data pipelines and infrastructure — the unglamorous plumbing that determines whether a model works in production.
Applied machine learning — classification, prediction, anomaly detection, recommendation.
AI products — full applications built around a model, from the interface down to the inference layer.
Consulting and feasibility — sometimes the honest answer is that AI isn't the right tool.
Software Engineering
Web apps, backend systems, APIs, and internal tools built to scale under real usage, not just a demo.
Web applications — from customer-facing products to internal dashboards, built with modern frameworks.
Backend systems and APIs — data storage, business logic, integrations built to scale.
Internal tools — admin panels, reporting tools, workflow systems that replace spreadsheets.
MVPs and product builds — for founders who need something real to show users or investors.
Legacy system rework — inherited a codebase nobody wants to touch? We fix it.
Business Automation
Workflow automation, data processing, and custom integrations that eliminate repetitive manual work.
Workflow automation — connecting the tools you already use so information moves without manual copying.
Data entry and processing automation — pulling data in, cleaning it, routing it where it needs to go.
Reporting automation — reports that build themselves and land in an inbox.
Custom scripts and integrations — connecting APIs and filling gaps between tools.
Process audits — mapping what's actually happening and cutting out what doesn't need to exist.
Embedded Systems & IoT
Firmware, sensor integration, and device-to-cloud pipelines for products that work in the real world.
Embedded systems — firmware and low-level software for microcontrollers and custom hardware.
IoT devices and networks — sensors that collect real-world data and get it somewhere useful.
Sensor integration — connecting the physical world to a system that can act on it.
Device-to-cloud pipelines — the full path from a sensor reading to a dashboard or database.
Prototyping to production — from breadboard proof of concept to manufacturable product.
Consulting & Research
Technical advisory, feasibility studies, and research to help you make confident technology decisions — before you commit to a build.
Technical advisory — architecture reviews, toolchain selection, and honest build-vs-buy advice.
Feasibility studies — answering whether the data, technology, and timeline support your goal before you invest.
Research & prototyping — small experiments to de-risk unknowns before a full build.
AI readiness assessment — evaluating where AI or automation would actually move the needle.
Strategy & planning — roadmaps and technology audits built on what's realistic, not optimistic.
Training & Education
Hands-on programs in data science, AI, and engineering — taught by people who build for a living.
Python for data work — the specific skills used daily: cleaning data, writing analysis scripts, automating tasks.
SQL — querying, joining, and making sense of real databases.
Machine learning fundamentals — building and evaluating models on real datasets.
Data visualization — turning analysis into something a non-technical stakeholder can act on.
Career development — the practical side of turning a skill into a role.
Technologies
Tools & frameworks we use
AI & ML
PythonTensorFlowPyTorchLangChainOpenAIFastAPI
Software
ReactNext.jsTypeScriptNode.jsPostgreSQLDocker
Automation
n8nAirflowPlaywrightAWS LambdaWebhooks
Embedded
CC++ESP32FreeRTOSMQTTAWS IoT