Synthesis Labs builds privacy-first, edge-AI sensor platforms for aquatic monitoring, precision agriculture, and ecological research. All inference runs locally. All data stays yours.
We are a small applied research and AI engineering company based in Saratoga Springs, NY. We build the technology stack first — local LLM inference, IoT sensor networks, automated data pipelines — then deploy it against real problems in aquaculture, agriculture, and ecological monitoring. No cloud dependency. No vendor lock-in. No data leaving your property.
Synthesis Labs is a research division of Latent Synthesis LLC and operates as an open-data research organization, depositing collected datasets to the Open Science Framework under CC-BY 4.0 license as deployments produce data.
AI-augmented water quality monitoring for aquaculture and coastal ecology. Real-time pH, dissolved oxygen, temperature, and conductivity sensing with local LLM interpretation and automated anomaly alerts.
Multi-parameter field monitoring platform for small-to-mid-scale farms. Soil moisture, microclimate, and crop health sensing with AI-generated management recommendations. Deployed at Saratoga County farm testbed.
Privacy-first, on-device AI parental control system. Network-level content classification using locally-running LLM inference — zero cloud dependency, zero subscription, zero data transmission. NSF SBIR candidate.
Investigating pH buffering dynamics near aquatic vegetation (seagrass, macrophytes) in Erie Canal corridor waterways. Research in support of USDA-NOAA aquaculture and coastal deacidification programs.
AI-assisted equine health data collection and pasture monitoring. Combining IoT environmental sensors with pattern recognition for animal welfare and hoof health management applications.
Applied research in local LLM inference optimization, edge compute architecture, and multi-node AI pipeline design. All inference infrastructure is owned and operated on-premise at our Saratoga Springs facility.
All data collected by Synthesis Labs field deployments will be published openly. The values below are representative of expected readings from our hardware configuration at Saratoga County sites. Full datasets will be deposited to the Open Science Framework once Site A deployment is live.
All research outputs will be publicly accessible under open licenses. No paywalls. No gatekeeping. Deposits to the Open Science Framework are scheduled alongside Site A field deployment.
Our entire research stack runs on owned, on-premise hardware. No cloud subscriptions, no vendor dependency, no recurring compute costs. Every component is operational today.
We are actively seeking university research partners for USDA NIFA and NSF grant co-applications, farm testbed hosts for sensor deployment pilots, and aquaculture operators interested in the SLAMP platform.