From 4a1a457655e6bc394cd1c9b997e2a4a58659ecd7 Mon Sep 17 00:00:00 2001 From: Shay Date: Sat, 20 Jun 2026 10:21:51 -0700 Subject: [PATCH] chore: remove private outreach dossier from public repo --- docs/research/brain_corp_dossier.md | 163 ---------------------------- 1 file changed, 163 deletions(-) delete mode 100644 docs/research/brain_corp_dossier.md diff --git a/docs/research/brain_corp_dossier.md b/docs/research/brain_corp_dossier.md deleted file mode 100644 index e4e2e0da..00000000 --- a/docs/research/brain_corp_dossier.md +++ /dev/null @@ -1,163 +0,0 @@ -# Brain Corp Dossier - -This is primarily external research. When CORE status is mentioned for -conversation framing, it is reconciled to `docs/claims_ledger.md` on main. - -## Snapshot - -Brain Corp presents BrainOS as a deployed autonomy platform for commercial -robots, with applications across cleaning, inventory, remote site management, -and newer physical-AI directions. Public materials position BrainOS as a -platform combining robotic autonomy, analytics/operations management, and -autonomy services. The BrainOS page states that the platform integrates a -sensor kit, UL-certified controller, and autonomy software for perception, -motion planning, localization, and navigation. [BrainOS platform](https://www.braincorp.com/brainos) - -Brain Corp's safety page emphasizes computer vision, 3D LiDAR, real-time path -adjustment, global replanning, path optimization, redundant safety systems, and -real-time obstacle detection. It also states the controller has independent UL -60730-1 and SIL2 verification and gives public fleet scale/reliability claims. -[Brain Corp safety](https://www.braincorp.com/safety) - -## Public Architecture Reading - -The public architecture is a deployed robotics autonomy stack: - -- Sensors and perception: computer vision and 3D LiDAR are explicitly named in - safety materials. -- Localization/navigation/planning: BrainOS describes perception, precise motion - planning, localization, and advanced navigation. -- Runtime safety: the safety page describes layered and redundant safety, plus - obstacle detection in dynamic environments. -- Fleet/ops layer: BrainOS includes BrainOS Mobile, Fleet Ops Portal, weekly - summaries, remote monitoring/diagnostics, and remote route optimization. -- Data flywheel: BrainOS describes "crowdsource learning," where field robot - experience is applied across the fleet. - -The important CTO inference: Brain Corp does not need a generic "robot brain." -They already operate a vertically integrated autonomy-plus-operations platform. -Any CORE conversation must be about a narrow substrate underneath or adjacent to -decision accountability, not replacing their stack. - -## Safety and Determinism Positioning - -Brain Corp's public "deterministic safety" equivalent sits in conventional -robotics safety architecture: sensors, obstacle detection, real-time replanning, -multi-layer redundancy, controller certification, and fleet operational support. -Public materials do not describe an inspectable cognitive trace substrate that -turns an abstract decision into a replayable refusal/proceed/stop proof. That is -the possible opening for CORE, but it should be framed as a gap hypothesis, not -as a proven product-market fit. - -## Partnerships and Commercial Signals - -Tennant is the clearest floor-care partner signal. Tennant and Brain Corp -announced an exclusive technology agreement in February 2024 to accelerate -robotic floor-cleaning innovation. Tennant said Brain Corp technology powered -more than 6,500 Tennant cleaning robots in the field and described the X4 ROVR -as the first of planned future AMR cleaning products powered by Brain Corp's -next-generation technology for Tennant equipment. [Tennant/Brain Corp agreement](https://investors.tennantco.com/news/news-details/2024/Tennant-Company-and-Brain-Corp-Sign-Exclusive-Technology-Agreement-To-Accelerate-Robotic-Floor-Cleaning-Innovation-and-Adoption/default.aspx) - -Tennant's X4 ROVR release says the machine is powered by the next-generation -BrainOS Robotics Platform and emphasizes computer vision, compact dimensions, -and operation in narrow/congested spaces. [X4 ROVR release](https://investors.tennantco.com/news/news-details/2024/Tennant-Announces-Full-Specification--Capabilities-of-X4-ROVR-Autonomous-Floor-Cleaning-Machine-its-First-Purpose-Built-Robotic-Scrubber-/default.aspx) - -SoftBank Robotics' Whiz materials also name BrainOS. SoftBank Robotics America -describes Whiz as powered by BrainOS, and SoftBank Robotics Group describes -Whiz/Whiz i as co-developed with Brain Corp in 2017. [SoftBank Robotics Whiz](https://us.softbankrobotics.com/whiz), [SoftBank Robotics solution page](https://www.softbankrobotics.com/solution/) - -Brain Corp also announced a May 20, 2026 UC San Diego collaboration focused on -semantic mapping and contextual grounding for physical AI. That announcement is -especially relevant because it names the same adjacent problem space where CORE -should avoid overclaiming: contextual understanding, grounding, and reliability -in complex physical environments. [Brain Corp/UC San Diego](https://www.braincorp.com/resources/brain-corp-and-uc-san-diego-partner-to-advance-the-foundational-intelligence-layer-for-physical-ai) - -## Eugene Izhikevich Lineage - -Brain Corp's own about page identifies Dr. Eugene Izhikevich as co-founder and -chairman. It says the company began in 2009 with computational neuroscientists -providing research services, guided by Izhikevich, and later launched BrainOS in -2014. The same page ties Izhikevich to spiking-network theory, a large -thalamo-cortical model, the Neurosciences Institute, and Scholarpedia. -[Brain Corp about](https://www.braincorp.com/about) - -Takeaway for the CTO conversation: do not present CORE's geometric/cognitive -language as exotic relative to Brain Corp. Their origin story already includes -computational neuroscience and brain-inspired robotics. The differentiator must -be a concrete accountable substrate, not philosophical novelty. - -## Patent Signals - -US11467602B2, assigned to Brain Corp, is titled "Systems and methods for -training a robot to autonomously travel a route." The patent page names route, -map, robot, and user as key terms and describes learning a route by -demonstration, mapping/localization, autonomous navigation, sensor data, -actuator association, map evaluation/correction, and cases where the robot -determines not to autonomously navigate a portion of a route. [US11467602B2](https://patents.google.com/patent/US11467602B2/en) - -This patent signal reinforces that Brain Corp's core lane is teach/repeat, -mapping, localization, navigation, route quality, and commercial cleaning -robotics. CORE should not enter the conversation as a competing route-learning -or navigation system. - -## Adjacent Players - -- Avidbots: autonomous floor-care competitor. Avidbots public autonomy material - says its proprietary AI software powers Neo for autonomous floor scrubbing. - [Avidbots autonomy PDF](https://avidbots.com/assets/Knowledge/Avidbots_Autonomy.pdf) -- SoftBank Robotics: Whiz is a commercial cleaning robot line, with official - pages naming BrainOS and Brain Corp involvement. [Whiz](https://us.softbankrobotics.com/whiz) -- Locus Robotics: warehouse AMR/orchestration competitor in a different - vertical. Locus publicly describes AMRs, LocusONE orchestration, Locus Origin, - Locus Vector, and newer Locus Array for more autonomous fulfillment. - [Locus Robotics](https://www.locusrobotics.com/) - -## Gap CORE Can Honestly Target - -The precise gap is not perception, not navigation, not motion planning, and not -fleet operations. Brain Corp already owns those deployed surfaces. - -The possible gap is a substrate-level accountability layer for bounded decisions: - -- preserve an abstract decision record as a deterministic trace; -- distinguish proceed, stop, and refusal; -- refuse under-determined input rather than forcing a fluent answer; -- make replay equality a first-class artifact; -- expose invariant checks and refusal reason in a canonical protocol. - -The current AMR demo should be described only as a preparation artifact that -shows this shape over simulated records. It does not prove deployment readiness. -Ledger framing keeps that boundary sharp: no CORE domain is at `expert`; -`audit-passed` means claim-shape compliance, not raw capability; text is an -active modality, audio is substrate with its gate CLOSED, and vision/motor are -proposed only. Determinism should be framed as byte-stable trace/digest evidence -and fail-closed drift detection, not robotics-grade control. - -## Conversation Posture - -Strong opening: - -"BrainOS is the robotics stack. We are not here to claim perception, planning, -or motor control. We prepared a tiny simulated AMR-adjacent accountability demo -to discuss whether a deterministic refusal/replay substrate could be useful -beneath bounded decisions in a system like yours. The demo is a preparation -artifact over simulated records, not deployment readiness." - -Weak opening: - -"CORE is a new kind of robot intelligence that could sit under BrainOS." - -## Source List - -- [BrainOS platform](https://www.braincorp.com/brainos) -- [Brain Corp safety](https://www.braincorp.com/safety) -- [Brain Corp about](https://www.braincorp.com/about) -- [Brain Corp / UC San Diego physical AI collaboration](https://www.braincorp.com/resources/brain-corp-and-uc-san-diego-partner-to-advance-the-foundational-intelligence-layer-for-physical-ai) -- [Tennant / Brain Corp exclusive technology agreement](https://investors.tennantco.com/news/news-details/2024/Tennant-Company-and-Brain-Corp-Sign-Exclusive-Technology-Agreement-To-Accelerate-Robotic-Floor-Cleaning-Innovation-and-Adoption/default.aspx) -- [Tennant X4 ROVR release](https://investors.tennantco.com/news/news-details/2024/Tennant-Announces-Full-Specification--Capabilities-of-X4-ROVR-Autonomous-Floor-Cleaning-Machine-its-First-Purpose-Built-Robotic-Scrubber-/default.aspx) -- [Tennant T380AMR product page](https://www.tennantco.com/en_us/1/machines/scrubbers/product.t380amr.robotic-floor-scrubber.M-T380AMR.html) -- [SoftBank Robotics Whiz](https://us.softbankrobotics.com/whiz) -- [SoftBank Robotics solution page](https://www.softbankrobotics.com/solution/) -- [US11467602B2 patent](https://patents.google.com/patent/US11467602B2/en) -- [Avidbots autonomy PDF](https://avidbots.com/assets/Knowledge/Avidbots_Autonomy.pdf) -- [Locus Robotics](https://www.locusrobotics.com/)