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New, float, and agency staff are at risk the moment they walk into a room they’ve never worked in, and even veterans lose time in the supply room daily. Memory degrades under stress, and the high-stress moments of acute care are exactly when clinical recall fails hardest. Billions have gone into electronic health records; the supply room is still analog.A Note From Our FounderMeet Ambi So we built one. Ambi is a voice-activated, LED-guided supply retrieval system that lives directly on the supply rack. A clinician walks up, speaks the item they need, and Ambi illuminates the exact slot in seconds. No screens. No apps. No cloud. No PHI. Just the rack, the voice, and the light.Under the hood, Ambi’s on-device speech recognition classifies the request, fuses it with long-term usage priors and short-term recency signals, and lights the correct slot in under a second. If the network goes down or the hospital loses power to the server room, Ambi keeps working. Ambi makes the physical environment aware, transforming search from a human task into an infrastructure capabilityWhy it’s Different: A Deterministic Embedded SystemAmbi runs on DECA, our Deterministic Edge Control Architecture closer in lineage to aerospace and medical-device systems than to cloud AI. It’s built for environments where “mostly works” isn’t an option.It installs on any existing rack in about 30 minutes, no construction, no IT integration, no capital-committee approval.Why NowFour forces converge at this exact moment: edge AI is finally practical on low-power microcontrollers; hospital operational strain has made nurse retention a board-level crisis; on-device compute has become a security requirement, not a preference; and hospitals want retrofit solutions they can deploy without construction or procurement cycles.Validation \u0026amp; TractionICS is pre-revenue with a validated prototype. The recognition below cleared bars most early companies never reach, and we’re honest that paying pilots are still ahead of us, not behind. Securing the first written pilot commitment is the next milestone.Market OpportunityWe start where the stakes are highest and the pain is most documented, the hospital. But DECA doesn’t change between verticals; the vocabulary changes, the buyer changes, the architecture does not. The same system that guides a nurse to an 18-gauge IV can guide a soldier to a field kit or a technician to the right component.Business Model \u0026amp; Unit EconomicsHardware up front plus recurring per-rack SaaS. A 250-rack hospital is roughly $1M in hardware and $120K in ARR, with customer ROI in under six months on recovered nurse time. Low capex means department-level approval, not the capital committee.CompetitionERP systems, RFID/RTLS, smart cabinets, and pick-to-light all answer “what’s in stock?” Ambi answers the question a nurse actually has mid-shift: “where is it, right now?” They track inventory. We drive execution.RoadmapThe campaign launches after the non-provisional patent filing. The milestones ahead:Reasons to InvestAs with any early-stage hardware + healthcare company, this opportunity is subject to scientific, execution, regulatory, and commercialization risks.The Ask \u0026amp; Use of FundsICS is raising on a SAFE through Regulation CF on Wefunder, launching after the non-provisional patent filing. Proceeds fund pilot deployments, the engineering team, DECA development, the patent filing, clinical benchmarking, and the data that unlocks NSF Phase I, getting Ambi into the hands of nurses providing care in hospitals in your community. Planned allocation: engineering 40% · sales \u0026amp; pilots 25% · operations 15% · G\u0026amp;A 10% · reserve 10%.RisksAs with any early-stage company, this opportunity carries significant risk. ICS is pre-revenue; the product is in development and its performance figures are current design targets subject to clinical validation. The business depends on converting pilots to paying contracts, on the timing of the patent filing, and on manufacturing and regulatory execution. Results may differ from current expectations. 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DECA isn’t competing with voice systems on raw recognition; it’s built differently. Systems like Siri or Alexa try to recognize open-ended speech against a huge vocabulary, in the cloud. DECA only has to recognize the supplies actually present at a location — a specific, known set rather than open-ended speech — which is what makes recognition reliable. Bluetooth proximity then localizes the item to a small slot zone, and an LED guides the user to the exact slot. 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