{"id":"7863313a-dec1-4c2c-bb6b-ab80ae7b9a5f","name":"Waddle Labs","slug":"waddle-labs","description":"Waddle Labs is an AI robotics startup building autonomous coding agents for robots — 'Claude Code for robots.' Connect their API to a robot, describe a task in plain English, and Waddle's agents create a working robot policy. Agent looks through cameras, breaks task into stages, writes code, calls specialist models, runs the robot, judges rollouts, diagnoses failures, and iterates. Can produce useful baseline policy within hours. Founded by Vincent Yiding Song and Hanming (DozenDucc) — Harvard roommates who met at MIT Research Science Institute. Replicated viral demos from [Physical Intelligence](/companies/physical-intelligence) and [Figure](/companies/figure-ai) from just text prompts.","status":null,"founded":2024,"hq":"USA","fundingTotal":null,"type":null,"reviewStatus":"reviewed","lifecycleState":"active","supersededByCompanyId":null,"sources":[{"url":"https://www.waddlelabs.ai","label":"Waddle Labs (official)"}],"keyFacts":[{"label":"Product","value":"AI coding agent for robots — 'Claude Code for robots.' Plain English → working robot policy"},{"label":"How it works","value":"Agent views cameras, breaks task into stages, writes code, runs robot, judges rollouts, diagnoses failures, iterates"},{"label":"Speed","value":"Useful baseline policy within hours for new tasks"},{"label":"Emergent behavior","value":"Created parameterized grasping skill → adapted to fold shirt and towel"},{"label":"Demo replication","value":"Replicated Physical Intelligence and Figure viral demos from text prompts via robot self-play"},{"label":"Founder 1","value":"Vincent Yiding Song (@yiding_song) — multimodal models for astrophysics, meta-learning at Harvard Kempner Institute"},{"label":"Founder 2","value":"Hanming (@DozenDucc) — topology research at MIT math, proved a conjecture, Regeneron top-five paper prize"},{"label":"Origin","value":"Met at MIT Research Science Institute in high school, Harvard roommates"},{"label":"Contact","value":"founders@waddlelabs.ai"},{"label":"Early access","value":"Available at waddlelabs.ai"}],"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":"2026-07-27T23:48:07.209Z","updatedAt":"2026-07-27T23:48:12.855Z","jsonLd":{"@context":"https://schema.org","@type":"Organization","@id":"https://registry.deploy.report/companies/waddle-labs","url":"https://registry.deploy.report/companies/waddle-labs","name":"Waddle Labs","description":"Waddle Labs is an AI robotics startup building autonomous coding agents for robots — 'Claude Code for robots.' Connect their API to a robot, describe a task in plain English, and Waddle's agents create a working robot policy. Agent looks through cameras, breaks task into stages, writes code, calls specialist models, runs the robot, judges rollouts, diagnoses failures, and iterates. Can produce useful baseline policy within hours. Founded by Vincent Yiding Song and Hanming (DozenDucc) — Harvard roommates who met at MIT Research Science Institute. Replicated viral demos from [Physical Intelligence](/companies/physical-intelligence) and [Figure](/companies/figure-ai) from just text prompts.","identifier":"7863313a-dec1-4c2c-bb6b-ab80ae7b9a5f","foundingDate":"2024","address":"USA","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":1,"primary_source_types":[]}}}