Source: public information extracted from https://www.archetypeai.io and linked blog posts/whitepaper. Summary: Archetype AI markets Newton as a “Large Behavior Model” (LBM) / foundation model for the physical world that performs real-time multimodal sensor fusion and reasoning across cameras, microphones, radars, time-series sensors, wearables, and similar inputs. Publicly called-out capabilities and features: Newton LBM (a universal embedding space for sensor signals that interprets, summarizes, predicts, and monitors signals), Lenses (continuously running AI apps that transform sensor streams into actionable insights), a referenced Developer API (blog posts reference integration APIs), edge / on‑prem deployment options (claims Newton can run locally including on a single GPU such as an NVIDIA L4; mentions support for hot‑swapping GPUs and fleets of edge GPUs; one-line install and microservices for streams/APIs), privacy/ownership options (customers can “own your data”, use Archetype infrastructure or their own, private fine-tuning with proprietary data, air-gapped/on‑prem options), plug‑and‑play sensor support, and cross-sensor/fleet learning and generalization. Example use cases highlighted publicly: construction safety and project optimization (Kajima), manufacturing anomaly detection and predictive maintenance, smart homes (presence-aware automation / natural language control), roads/traffic safety (Soarchain), renewable energy, robotics, and wellbeing from wearables. Business pitch in public materials: target the “trillion‑dollar sensor economy” by unlocking unused sensor data with rapid ROI claims (whitepaper/blog claims measurable ROI in weeks; whitepaper cites 35–45% downtime reduction and 25–30% maintenance cost reduction for industrial scenarios). What is publicly available: homepage, about page, multiple blog posts (on-prem blog, Lenses blog, client case blogs, collaborations), and an industrial whitepaper link. Gaps in public materials: no public pricing or pricing plans on the site; no public developer/API documentation pages or SDK downloads exposed; contact page returned 404 in the extraction and there is no clearly published direct email/phone or standard contact form visible in the extracted pages (site uses an Insider / request early access CTA instead); no publicly listed SLAs, security/compliance certifications, detailed hardware sizing requirements beyond examples (single GPU mention), or turnkey pricing for edge/on‑prem deployment. Recommended next steps (as collected from the source material): request demo/contact via the Insider / Request Early Access CTA; ask targeted sales and technical questions (pricing models, POC terms, deployment models, hardware requirements, supported sensors & integrations, API & SDK access, data & privacy practices, scaling & fleet management, security & compliance, support & SLAs); request technical materials (architecture docs, full whitepaper/slide deck, hardware sizing guide, reference deployments); if pursuing a pilot, request a short POC on representative data/sensors and a bill of materials for on‑prem setup; if procurement requires contact page, use Insider sign-up or company LinkedIn/founders listed on About page to reach sales/leadership. Notes on accuracy and limits: all content is limited to publicly available materials extracted from the site and linked blogs/whitepaper. No private, internal, or non-public claims were added. Any fields or details not found on public pages were explicitly noted as not publicly available.