AI Systems
Models that reach production: analytics engines, agents, and pipelines that make real decisions, not demos.
Microblocs plugs a senior team into your stack: AI systems, embedded firmware, cloud, and the ERP that ties it together. Built inside your environment, shipped to production, owned by you.
Most teams don't need another agency. They need people who ship.
You've been burned before: decks instead of code, juniors learning on your budget, a team that vanishes after kickoff. The hard, cross-discipline work keeps slipping.
Strategy that looks sharp in a deck and never once reaches production.
Learning curves you pay for twice: once in fees, once in rework.
AI, firmware, and cloud that all must work as one system, and don't.
Code you can't read, hosted somewhere you can't reach, priced so you can't leave.
From the AI model down to the C running on the metal, the range to own a system end to end, so nothing falls through the seams.
Models that reach production: analytics engines, agents, and pipelines that make real decisions, not demos.
High-throughput gateway servers and intricate low-level C. Firmware engineered for the field, not the lab.
Expansive web apps and cloud-native platforms, scalable by architecture, with migrations done without downtime.
The operational backbone: bespoke ERPs and internal platforms that run the business, tailored to how you actually work.
Anonymized where we're under NDA, but the numbers are real. Hover any project to see how it was built. Drift your cursor across the field.
An AI analytics engine ingesting meter-level data to surface consumption patterns, forecast demand, and recommend cuts. Deployed cloud-native with sub-second query paths.
Python · PyTorch · Kafka · time-series DB · AWS. Delivered inside the client's own cloud account, fully owned by them.
A comprehensive ERP unifying scheduling, logistics, and finance for one of the world's largest driven-sport operators, replacing a tangle of spreadsheets and legacy tools.
TypeScript · PostgreSQL · event-driven services · role-based access. Built to survive audit and scale across facilities.
Models that parse and structure vast libraries of component datasheets, turning weeks of manual spec-hunting into instant, source-cited answers for the engineering team.
LLMs · RAG · vector search · document parsing. Every answer traceable back to the source page.
Sensor-to-cloud instrumentation feeding a control layer that flags bottlenecks in real time, from the IoT gateway on the floor up to the dashboards leadership watches.
Embedded C · MQTT · edge gateways · streaming analytics. One team owning metal to dashboard.
A tight, repeatable cadence that gets working software in front of you fast, and keeps it running long after.
We start where the risk is. A short, senior-led discovery that turns a fuzzy ambition into a concrete architecture and a plan you can trust.
1–2 weeksWorking software early: a real, running slice of the system you can click, not a slide. We de-risk the unknowns before scaling them.
Weeks, not quartersBuilt inside your environment, to enterprise-grade security and performance. Code you can read, hosted where you control it, owned by you.
Inside your stackWe don't disappear at launch. We keep the system healthy, measured, and improving, scaling the team up or down as you need.
Ongoing partnershipTell us what's stuck. We'll tell you honestly whether we're the team to unstick it, usually within a day.