The data to run smarter operations is already there. We connect it.
Emails, spreadsheets, sensor feeds, and legacy software. All carrying critical operational data, none of it connected.
Without interoperable data, operators fill the gaps themselves. Slower decisions, more errors, and work that shouldn't require a human.
The information needed to run operations well exists somewhere. Scattered across systems, it might as well not.
From automation pipelines to simulation models, built for the complexity of physical operations.
Agents that read emails, parse documents, and coordinate workflows across your tools, built on n8n, custom APIs, and large language models.
Typical project: 2–4 weeks
Dashboards, pipelines, and ML models that pull from fragmented data sources and give operators a clear picture of what's happening and what to do next.
Typical project: 3–5 weeks
Simulation and modeling systems that combine sensor feeds, field geometry, weather, and equipment state to support operational planning and sequencing.
Typical project: 5–8 weeks
Digital twins for farm operations. FieldSim combines field geometry, weather, soil, equipment, and crop health data to simulate optimal driving paths and operational sequencing for farm equipment.
Currently in real-world testing with Montana State University's 600-acre precision agriculture research farm. Emerged from the DOE Boost Venture Studio.
fieldsim.ai →
AI-assisted freight brokerage. Software agents coordinate trucking operations by reading emails, paperwork, and telematics data to maintain shipment state and automate workflows like carrier sourcing, compliance, and load coordination.
Read the case study →30 minutes. We'll talk through your operational data landscape and see if there's a clear project to scope.
Clear proposal with timeline, deliverables, and fixed pricing. No surprises.
Most projects run 2–8 weeks. You'll see progress weekly, not at the end.
Working system, documentation, and training. 2 weeks of post-launch support included.
Fixed-scope projects or ongoing support, both with transparent pricing.
A defined deliverable with a clear timeline. Most projects run 2–8 weeks.
Best for: Automating a workflow, building a decision-support tool, or modeling an operational system.
Ongoing embedded support for teams with continuous data and automation needs.
Best for: Teams with continuous automation, evolving data infrastructure, or sustained product development needs.
I'm a product manager and AI builder with a background in FAANG-scale product development and a graduate degree in data science, focused on operational industries where the data is messy and good software makes a real difference.
No account managers or junior consultants. Start to finish, you work with me.
The same thesis behind FSL's client work produced Hudson Map Co. and FieldSim, two operating companies built around the same fragmented-data problems.
Project-based engagements with fixed pricing and clear deliverables. No 6-month roadmaps.
From n8n workflows and LLM integrations to regression models and digital twins, I work across the full technical surface of these problems.
Book a free 30-minute call. We'll talk through your operational setup and figure out if there's a clear project to scope. No obligation.
Book a Consultation