Reconstruct what happened. Understand what changed. Build from evidence.
Streamline OS turns fragmented greenhouse records, telemetry, and spatial captures into a shared operating context. It begins with traceable reconstruction, then uses that foundation to improve decisions and coordinate supervised automation.
One direction, with three distinct capability stages.
Each stage produces the evidence needed for the next: reconstruction establishes context, context improves decisions, and proven decisions define where automation belongs.
- CURRENT
Recorded, read-only reconstruction
Streamline OS reconstructs a recorded greenhouse interval from operational records, environmental telemetry, and spatial captures while retaining source identity, time, place, transformation history, and uncertainty.
Working now: a bounded reconstruction-and-replay slice with traceable evidence and explicit uncertainty.
- NEXT
Reviewable decision support
The next layer will test bounded recommendations and operational forecasts against explicit baselines, with the supporting evidence and reasoning available for operator review.
Development priority: qualify recommendations against real operating outcomes and operator review.
- LATER
Supervised physical automation
Robotics and greenhouse controls may enter repeatable workflows only after sensing, calibration, safety, serviceability, human oversight, and unit economics have been demonstrated together.
Long-term direction: supervised physical work that earns deployment through safety and economics.
Build the scene without losing the evidence behind it.
- 01
Preserve the evidence
Keep records, telemetry, and spatial observations attached to their original source and integrity information.
- 02
Bind time and place
Locate each observation in a greenhouse, bed, and recorded timeline without hiding stale or missing inputs.
- 03
Reconstruct the interval
Build an inspectable spatial replay that distinguishes recorded evidence from derived scene state.
- 04
Refuse unsupported certainty
Keep observations separate when timing, calibration, or coordinate evidence is insufficient for defensible fusion.
Designed for operator trust
Streamline OS distinguishes recorded, derived, inferred, simulated, and replayed state. The current slice is read-only by design: it proves that the operating context can be inspected and trusted before recommendations or machines depend on it.
Preserve genotype, environment, crop work, and time as connected evidence.
Regulated cannabis cultivation sharpened Streamline’s focus on precision and traceability: genotype sets potential while environment, crop work, and time shape observed expression. That operating thesis motivates the evidence model; it is not a claim that Streamline can guarantee genetic outcomes or has established a universal causal model of crop biology.
Continue into the evidence and research
GH1 / Bed 4 greenhouse reconstruction
See what the first engineering slice supports, what it refused, and what remains unqualified.
Research architectureThe World Biological Outcome Model
Explore the longer-horizon model connecting genetics, environment, operations, economics, and outcomes.
Operating economicsBiology, autonomy, and unit economics
Understand why useful automation must improve biological and economic outcomes together.
Systems thesisThe Biology-First Autonomous Food System
See how sensing, robotics, local intelligence, and logistics fit around biological outcomes.