Operational software
Connect crop, climate, equipment, tasks, and facility context in one traceable operating model.
The Streamline story
Built in agriculture. Sharpened by necessity. Brought back to food.
Streamline began with a food farmer trying to make controlled-environment agriculture work. Farm economics pushed the operation into cannabis, where Bennett built the software, sensing, spatial, and robotics capabilities now being brought back to food.
The crop changed. The operating problem did not: understand a living system, coordinate the work around it, and make every technical decision answer to biology and economics.
The path
The company did not leave food behind. It built the capability to return.
- 01
Food came first
Bennett Cawthon began as a food farmer, working inside the daily constraints of living crops, equipment, labor, timing, and farm economics. Streamline started with the problem of making food production work better.
- 02
The economics pushed the farm into cannabis
Food-farm economics could not support the level of technical development the operation needed. The cannabis market could. The crop changed because the economics demanded it—not because food stopped mattering.
- 03
A higher-value market supported deeper engineering
Cannabis created room to build capabilities that were difficult to finance through food production alone: farm software, multimodal sensing, spatial systems, and robotics. The engineering stayed attached to physical operations and biological consequences.
- 04
The technology is coming back to food
Streamline is bringing those capabilities back to the original problem. The current focus is greenhouse intelligence and digital twins, followed by biological decision systems and supervised automation built around the realities of food production.
The deeper operating thesisRead the biological outcome model
Genetics set the potential. The production system shapes the expression.
Regulated cannabis made repeatable genetic expression economically legible. Environment, crop work, and time influence phenotype, consistency, quality, and the value a market assigns to the result. Growing became more than producing a plant; it became the work of understanding how operating conditions relate to a genetic outcome.
That is an operating thesis, not a claim that Streamline has proven a universal causal model. The company is building the evidence structure needed to compare conditions, interventions, and biological outcomes without confusing correlation for causation.
Food was the original problem. It is the destination for the technology.
What carries forward
Technology developed around a crop. Rebuilt around a food system.
Biological and spatial sensing
Treat every observation as evidence with a source, time, place, quality, and transformation history.
Automation with context
Build the intelligence, workflow, and accountability required before machines act in living systems.
Food brings different margins, safety requirements, quality definitions, distribution systems, and public obligations. Streamline is not transplanting a cannabis production model into food. It is carrying forward the technical capability and rebuilding it around food’s biology and economics.
The founder
An operator building for the physical world.
Bennett Cawthon is a farmer and software builder in Bozeman, Montana. His work sits where biological variability, equipment, labor, data, and capital meet.
That perspective keeps Streamline focused on operating problems that matter in a greenhouse—and on automation that earns its place through evidence, safety, and economics.
Build with Streamline
Bring the next operating question back to the farm.
Streamline is opening conversations with greenhouse operators, agricultural researchers, sensing and controls teams, robotics builders, and long-term partners who want to build from real biological operations.