TEAM AKASHI

When a witness says one thing, the CCTV shows another and the logs say a third, investigators spend hours reconciling it by hand, and contradictions slip through. CaseWeave tests the accounts against the evidence. Upload the case files (statements, CCTV notes, device logs, reports, photographs) and it reads everything into one timeline, flags where sources disagree, and reconstructs the scene as a walkable 3D model. Every wall, door and object is marked stated, inferred or assumed, so a guess is never shown as fact, and view cones show who could really have seen whom. It then proposes several different scenarios of what could have happened, each citing its evidence. Code, not opinion, checks every one against real walls, doors, walking speeds and line of sight, and impossible plans are thrown out or repaired. AI proposes, code decides, and a person confirms every finding. CaseWeave identifies no one, judges no one and gives no legal advice, and every case in the demo is fictional. Built on Meta's Muse Wonder, SAM 3.1 and Llama 3.1, it can even run fully on-premise, so sensitive evidence never has to leave the building.