Sightline Innovation Inc.
Canada's first AI company is now Canada's first company run completely by AI.
Canada's first AI company is now Canada's first company run completely by AI. Originating with Canada's first commercial deep learning research in 2013 (hyperspectral drone imagery at CED Alma), federal AI policy development with StrategyCorp (2014) that helped catalyze Canada's Supercluster program and the EMILI Initiative, and pioneering sovereign data systems and federal AI Vendor of Record status (2017), Sightline converted into a patent holding company in 2022 and is now rebooted as an AI-operated company holding 14 USPTO-granted (B2) patents (227 verified claims) across IoT & Sensor Deep Learning (US 10,504,020 B2), Machine Learning Data Quality & Processing (US 11,436,428 B2), and SightScope™ Optical Coherence Tomography (OCT) & combined OCT/HSI micro-inspection (12 USPTO B2 grants).
Foundational History: From Canada's 1st Commercial Deep Learning Research (2013) to an AI-Operated Company
Canada's first AI company is now Canada's first company run completely by AI.
Sightline Innovation began its first commercial deep learning research in 2013, pioneering semi-supervised learning for plant species classification using hyperspectral imagery (HSI) captured from drones. Sightline operated as part of the drone research facility flying modified Diamond DA42 aircraft and served on the board of the Drone Centre of Excellence at CED Alma (Centre d'excellence sur les drones, Alma, Quebec) while it conducted the first autonomous flight experiments in civilian airspace in Canada. Our hyperspectral imagery expertise is directly embodied in several of our Optical Coherence Tomography (OCT) patents, which enable micro-inspection through non-destructive testing (NDT) for combined telemetry of OCT and HSI.
Starting in 2014, Sightline became the first company to consult with the Canadian government on AI commercialization and developed early AI policy for the federal government through our partnership with StrategyCorp in Ottawa. Much of that effort became one of Canada's largest non-infrastructure economic development programs, eventually called the Innovation Superclusters Initiative (Supercluster program). Sightline founded the Manitoba Supercluster bid, which eventually became the EMILI Initiative (Enterprise Machine Intelligence & Learning Initiative) that still exists today.
In 2017, Sightline was the first company in Canada pushing for sovereign data systems, and stood as one of the only purely Canadian companies authorized as a Vendor of Record (VoR) for AI services for the federal government—operating in the same procurement tier as the global foreign accounting firms.
Backed by foundational intellectual property in machine learning, IoT, and optical coherence tomography, Sightline converted into a dedicated patent holding company in 2022. We are now rebooting the company as an AI-operated company. Canada's first AI company is now Canada's first company run by AI.
🛩️1st Commercial Deep Learning Research, Drone Hyperspectral Imagery & Autonomous Civilian Flight
Conducted our 1st commercial deep learning research in 2013—semi-supervised learning for plant species classification using hyperspectral imagery (HSI) from drones—as part of the drone research facility flying modified DA42 aircraft and serving on the board of the Drone Centre of Excellence at CED Alma during Canada's 1st autonomous flight experiments in civilian airspace. Our HSI expertise is embodied in several OCT patents enabling micro-inspection through non-destructive testing for combined OCT and HSI telemetry.
🏛️1st Canadian Government AI Commercialization Advisor, StrategyCorp Policy & EMILI Supercluster
Became the first company to consult with the Canadian government on AI commercialization starting in 2014 and developed early federal AI policy through our partnership with StrategyCorp in Ottawa—an effort that helped shape one of Canada's largest non-infrastructure economic development programs, the Supercluster program. Founded the Manitoba Supercluster bid, which became the EMILI Initiative that still operates today.
🛡️1st in Canada Pushing Sovereign Data Systems & Federal AI Vendor of Record
Pioneered the push for sovereign data systems in Canada starting in 2017 and became one of the only purely Canadian companies authorized as a Vendor of Record (VoR) for AI services for the federal government, standing in the same procurement tier as the foreign accounting firms.
🤖Patent Holding Company Conversion (2022) & Reboot as an AI-Operated Company
Building on foundational USPTO-granted intellectual property in machine learning, IoT, and SightScope™ OCT, Sightline converted into a patent holding company in 2022 and is now rebooting as an AI-operated company. Canada's first AI company is now Canada's first company run by AI.
🎯Three Core Patent Categories Marketed for Licensing & Sale
100% USPTO-granted (B2) intellectual property invented by Wallace Trenholm & the Sightline Innovation team — available for commercial licensing or outright acquisition
📡IoT & Sensor Deep Learning Provisioning
Application provisioning systems and methods applying deep learning neural networks to multi-sensor telemetry from hardware peripherals. Incorporates finite-state-machine (FSM) application workflows, dynamic compute resource reallocation for classifier training, jurisdictional certificates governing data sharing, and multi-sensor data fusion.
🧬Machine Learning Data Processing & Data Quality
Semi-supervised machine learning data quality and automated class labeling systems. Computes quantitative dataset cleanliness factors against predetermined thresholds, clusters unlabeled records using user-defined clustering parameters, evaluates confidence assignment measures, and resolves ambiguous class labels to produce high-integrity ML training datasets.
🔬SightScope™ Optical Coherence Tomography (OCT) & Optical Inspection IP
Comprehensive suite of 12 USPTO-granted (B2) patents embodying Sightline's hyperspectral imagery (HSI) and optical interferometry expertise—enabling micro-inspection through non-destructive testing (NDT) for combined telemetry of OCT and HSI, neural C-scan/A-scan feature detection, steerable focal adjustment, adjustable & anticipatory depth-of-field control, multiplexed multi-head OCT scanning, and multimodal beam-splitter imaging.
📜USPTO-Granted Patent Assets & Licensing Registry
Exclusively issued USPTO B2 grants across IoT & Sensor Deep Learning, ML Data Quality Processing, and SightScope™ Optical Coherence Tomography (227 verified claims)
System and method for applying a deep learning neural network to data obtained from one or more sensors
An application provisioning system and method where a client schema defines an application interacting with coupled peripherals and receiving input from hardware sensors. Sensor data is processed by deep learning neural networks while a finite state machine traverses workflow states based on sensor responses, with dynamic compute reallocation for classifier training, jurisdictional data usage certificates, and multi-sensor data fusion.
System and method for increasing data quality in a machine learning process
A method and system for increasing data quality of a dataset for semi-supervised machine learning analysis. Determines a dataset cleanliness factor against a predetermined threshold, assigns unlabeled data points to clusters with associated cluster class labels, evaluates measures of assignment against an assignment threshold, and outputs a verified, high-cleanliness labeled dataset for machine learning training.
Neural network system for non-destructive optical coherence tomography
A system and method for non-destructive optical coherence tomography (OCT) receiving OCT volumetric C-scan and A-scan data and executing a trained neural network pipeline to automatically detect, classify, and localize surface and subsurface structural features.
Steerable focal adjustment for optical coherence tomography
Surface and subsurface inspection of an object using optical coherence tomography (OCT) by determining a regional surface profile, computing working distances and incident angles within a present depth of field, dynamically steering the OCT scanner head towards each region, and executing targeted A-scans.
Steerable focal adjustment for optical coherence tomography
Foundational parent grant for steerable OCT scanner head focal adjustment across multi-region 3D object surface profiles, coordinating relative object motion, working distance calculation, angular beam steering, and in-focus A-scan acquisition.
Adjustable depth of field optical coherence tomography
Optical coherence tomography inspection system that dynamically determines initial and subsequent working distances as an object moves, evaluates whether the target surface remains in focus, and recalibrates optical depth of field on the fly for continuous A-scan acquisition.
Adjustable depth of field optical coherence tomography
Parent USPTO grant for adaptive depth-of-field optical coherence tomography, enabling real-time focal depth adjustment synchronized with working distance telemetry during high-speed non-destructive OCT scanning.
Anticipatory depth of field adjustment for optical coherence tomography
Predictive OCT optical control system that determines present working distance alongside one or more forward look-ahead working distances along an inspection trajectory to pre-adjust depth of field prior to A-scan capture.
Anticipatory depth of field adjustment for optical coherence tomography
Foundational parent USPTO grant for anticipatory look-ahead depth-of-field adjustment in optical coherence tomography, eliminating focal lag during high-velocity scanning of complex 3D geometries.
System and method of surface inspection of an object using multiplexed optical coherence tomography
High-throughput multiplexed optical coherence tomography (OCT) architecture moving an object relative to two or more scanner heads and alternatingly directing sample beams across scanner heads for wide-area tomographic surface inspection.
Multimodal image data acquisition system and method
Multimodal optical imaging system combining a beam splitter directing derivative sample and reference beams for Simultaneous Optical Coherence Tomography (OCT) interferometry and complementary optical modality acquisition.
System and method for integrated laser scanning and signal processing
Integrated laser scanning and signal processing architecture acquiring high-precision distance and surface profile imaging data for structural and material surface characterization.
System and method for specular surface inspection
Optical surface inspection system utilizing inverse synthetic aperture imaging (ISAI) and specular surface geometry imaging for high-resolution defect detection on reflective and specular surfaces.
System and method for specular surface inspection
Foundational parent USPTO grant for specular surface inspection combining inverse synthetic aperture imaging (ISAI) and multi-angle optical signal reconstruction.
SII Licenses Optical Coherence Tomography (OCT) Patent Portfolio to AnoSense Solutions (ANO)
Facilitated by MetaData Asset Management (MDAM), ANO is integrating SII's OCT patent portfolio to build tomographic change detection imagery into its dermatology clinic intake system—enhancing clinic productivity and longitudinal Basal Cell Carcinoma (BCC) surveillance across the Canadian population.
License or Acquire Sightline Innovation USPTO-Granted IP
Inquire for non-exclusive commercial licenses, field-of-use exclusive licenses, or outright patent portfolio purchase across IoT Sensor Deep Learning (US 10,504,020 B2), ML Data Processing (US 11,436,428 B2), and SightScope™ Optical Coherence Tomography (12 USPTO B2 grants).