{"id":"07400346-7232-4739-b473-bc6627660d2a","name":"TetraGen Robotics","slug":"tetragen-robotics","description":"Winnipeg-based developer of AI-powered autonomous robotic welding systems. Founded in 2022 by former University of Manitoba Intelligent Digital Manufacturing Lab founder Matt Khoshdarregi, [Tetragen](/companies/tetragen-robotics) combines proprietary 3D vision, autonomous path planning, and industrial robotics to enable welding robots that adapt to part variations without manual programming. The company targets high-mix, high-variability manufacturing in heavy equipment and general manufacturing across North America.","status":"private","founded":2022,"hq":"Winnipeg, Canada","hqLat":49.8955367,"hqLng":-97.1384584,"hqGeocodedAt":"2026-08-23T21:01:41.031Z","hqAddress":null,"hqPrecision":null,"website":"tetragen.ai","fundingTotal":"1300000","type":"hardware","roles":["robot_maker","robot_operator"],"reviewStatus":"reviewed","heatIndex":79,"lifecycleState":"active","supersededByCompanyId":null,"sources":[{"url":"https://betakit.com/autonomous-welding-startup-tetragen-robotics-raises-1-8-million/","title":"Autonomous welding startup TetraGen Robotics raises $1.8 million","sourceName":"BetaKit"},{"url":"https://theaiinsider.tech/2026/08/11/tetragen-robotics-raises-can1-8m-in-seed-funding-to-expand-autonomous-welding-systems/","title":"TetraGen Robotics Raises CAN$1.8M in Seed Funding to Expand Autonomous Welding Systems","sourceName":"The AI Insider"},{"url":"https://www.tetragen.ai/","title":"TetraGen Robotics | AI-Powered Robotic Welding","sourceName":"Company website"}],"keyFacts":[{"label":"CEO","value":"Matt Khoshdarregi (P.Eng., Ph.D., co-founder)"},{"label":"COO","value":"Michael Newman (P.Eng., M.Sc., co-founder)"},{"label":"Lead Software Developer","value":"Bhavin Dharia (M.Sc., co-founder)"},{"label":"Lead Investor","value":"StepChange Capital (Calgary, AB)"},{"label":"Investors","value":"Emend Vision Fund (Vancouver, BC), Jim Richardson (Winnipeg, MB)"},{"label":"Seed Funding","value":"$1.8M CAD (oversubscribed, announced Aug 2026)"},{"label":"Technology Partners","value":"FANUC, Fronius, Vention (certified system partner)"},{"label":"Hero image candidate","value":"https://cdn.betakit.com/wp-content/uploads/2026/08/TetraGen-robot-770x513.webp (source: BetaKit press coverage)"}],"aliases":[],"collisionRisk":"low","reviewNote":null,"atsProvider":null,"atsSlug":null,"factoryLocations":null,"manufacturingCapacity":null,"orgType":null,"burnSignal":null,"litigationEvents":null,"insurancePostureDisclosed":null,"unitEconomicsDisclosed":null,"tickerSymbol":null,"stockExchange":null,"secCik":null,"revenueUsd":null,"revenueBasis":null,"revenueAsOf":null,"employeeCount":null,"employeeCountBasis":null,"employeeCountAsOf":null,"marketCapUsd":null,"marketCapAsOf":null,"marketCapSource":null,"createdAt":"2026-08-13T20:26:12.568Z","updatedAt":"2026-08-21T22:30:54.520Z","jsonLd":{"@context":"https://schema.org","@type":"Organization","@id":"https://registry.deploy.report/companies/tetragen-robotics","url":"https://registry.deploy.report/companies/tetragen-robotics","name":"TetraGen Robotics","description":"Winnipeg-based developer of AI-powered autonomous robotic welding systems. Founded in 2022 by former University of Manitoba Intelligent Digital Manufacturing Lab founder Matt Khoshdarregi, [Tetragen](/companies/tetragen-robotics) combines proprietary 3D vision, autonomous path planning, and industrial robotics to enable welding robots that adapt to part variations without manual programming. The company targets high-mix, high-variability manufacturing in heavy equipment and general manufacturing across North America.","identifier":"07400346-7232-4739-b473-bc6627660d2a","foundingDate":"2022","address":"Winnipeg, Canada","publisher":{"@id":"https://deploy.report/#organization"}},"framework_metadata":{"framework_schema_version":"0.1.0","verification_status":"verified","maturity_stage":null,"lifecycle_state":null,"architectural_position":{"cohort":null,"sub_cohorts":[]},"within_cohort_verified_vs_claimed_pair":null,"cap_flags":[],"verification_depth":{"sources_count":3,"primary_source_types":[]}}}