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Technology supplier · Startup

Fleetcraft

Predictive MaintenanceData Analytics & AI Platforms

Fleetcraft, a London start-up founded in 2025, builds AI for aircraft maintenance paperwork, from voice-logged task records to checks on airworthiness directives.

Led by chief executive Finn Quinlan and chief technology officer Ammar Naseer, it raised a 3.2 million US dollar seed round in January 2026. Sonic turns spoken notes into compliant maintenance records, and Trace reasons across maintenance and regulatory documents to check directive applicability and troubleshoot defects. No customer is named.

No verified deployments yet

Fleetcraft is profiled in the companies register, but no deployment has been verified against published evidence. Records are added as evidence is reviewed and graded.

Products & Solutions

2 products

Sonic

Voice-to-quality-assurance-log tool that converts maintenance technician verbal descriptions of completed work into structured, compliant maintenance log entries in under one minute, reducing documentation time at the close of each maintenance task.

The problem it addresses

Completing quality assurance log entries after maintenance tasks is a time-consuming administrative step that reduces productive time for technicians. Voice-driven log completion reduces this to under one minute per entry.

Key features
  • Voice-to-text maintenance QA log completion
  • Sub-1-minute log entry generation
  • SOC2 Type 1 certified
  • CAMO-compliant output formatting
Technical specifications (1)
  • SOC2 Type 1 certified
Certifications and approvals
  • SOC2 Type 1
Product documentation

Trace

AI-powered document analysis tool for aviation compliance teams that processes Airworthiness Directives and Service Bulletins in under 30 seconds per document, extracting applicability, compliance method, and effectivity data into structured records.

The problem it addresses

Manual review of Airworthiness Directives and Service Bulletins is time-consuming and requires specialist knowledge to interpret applicability and compliance requirements. AI extraction reduces review time from hours to seconds per document.

Key features
  • AD and SB document analysis in under 30 seconds
  • Applicability and effectivity extraction
  • Compliance method and interval identification
  • Structured output for MRO and airworthiness systems
Technical specifications (1)
  • Sub-30 second per document processing
Product documentation

Profile data from the Aerostack companies register; deployment records from the verified register. Evidence grades: T1 first-party confirmation, T2 credible reporting. See Our approach for how records are graded.

Aerostack tracks AI deployments across airports and airlines, with the published evidence behind each record. Photography is real aviation imagery. Record thumbnails may show the named airport or airline; other photographs do not.