All-in-one aviation software Run your operation on FlightAtom.
Start with one module.

FlightAtom is aviation software for airlines and aircraft operators. Its modules cover safety, flight operations, training and recruitment, manuals and knowledge, dashboards and customer service. Each keeps its own records, so you can start with one, and they connect where the work does.

See the modules ↓How the modules connect
The periodic table of FlightAtom

Every part of the operation,
one module at a time.

Every module is an element. Each column is one workflow, numbered in the order work flows through it, and every element also works on its own.

Select an element for details.Tap an element for details.

Safety
  1. 1AURORA AiSMS / QMSRuns your SMS and QMS in one place, from the first report to evidence a regulator can verify.
  2. 2TRACE AiInvestigationsRuns safety investigations, with AI that drafts each stage and phones the people involved.
  3. 3FOLIO AiManualsTakes manuals from draft through approval to release, with AI checking them against the regulations they cite.
Training
  1. 4HIRE AiRecruitmentRecruits pilots with proctored assessments and an automatically scored English test.
  2. 5MENTHOR AiPilot trainingChecks that every rostered crew member is qualified before they fly.
  3. 6EPHOR AiTraining approvalsRoutes training material to your authority's inspectors for approval and keeps every instructor on the approved version.
Operations
  1. 7CREW AiCrew rostersBuilds crew schedules within flight-time limits and ranks recovery options when the day changes.
  2. 8FLIGHT AiFlight recordsFlags missing flight paperwork and checks fuel against the plan.
  3. 9PINAX AiPunctualityShows the day's punctuality live and the delays behind it.
Knowledge
  1. 10WORKSPACEEmployee portalGives each employee one sign-in and one page for every connected application they are allowed to use.
  2. 11DELPHI AiKnowledge AIAnswers questions from your manuals, with the page each answer came from.
  3. 12VISION AiDashboardsTurns a plain-language request into a working dashboard draft from your own data.
Service
  1. 13CARE AiCustomer serviceAnswers airline customer service calls with an AI voice agent and hands over to your team.

  • Element A productOne module that works on its own, with its own records, its own demonstration and its own price.

    Each element is a separate product with its own database, its own product page and its own demonstration, so you can adopt one without the others. The exception is TRACE Ai, which runs with DELPHI Ai's retrieval service. AURORA Ai is the standalone SMS and QMS, not a required starting point.

    Compare every module ↗

  • Bond A connectionWhat one element sends and the next acts on, such as a report, a finding or a roster. Each bond is connected, set up during implementation, or planned.

    Example: when an action owner accepts a drafted document change in TRACE Ai, it can go to FOLIO Ai as a Notice to Staff for the department head to issue or return, and TRACE Ai records the outcome. Both products switch that connection on for the deployment. The connections table lists the status of every bond.

    See product connections ↗

  • Compound A workflowElements that work together as one workflow. Each column of the table is a compound: Safety, Training, Operations, Knowledge and Service.

    The Safety compound follows a hazard from report to manual change: AURORA Ai records the report, TRACE Ai investigates it, and FOLIO Ai issues the document change. How a report becomes a TRACE Ai case is agreed for your operation during implementation. A compound is a workflow, not a bundle: you still add one element at a time.

    See the safety loop ↗
One platform

How the modules connect.

Modules exchange specific records where the work does. Each link is marked connected, set up during implementation, or planned.

Safety & Assurance

From a safety report to the manual change.

  1. AURORA Ai records the safety report and its risk assessment.

    Start

  2. TRACE Ai investigates. AURORA Ai has its own investigation workspace, so how a report becomes a TRACE Ai case is agreed for your operation.

    Agreed during implementation

  3. TRACE Ai drafts the document change from DELPHI Ai's cited manual passages.

    Connected

  4. The accepted change goes to FOLIO Ai as a Notice to Staff for the department head to issue or return.

    Connected · switched on in both

  5. The next manual revision is published in DELPHI Ai.

    Separate step

PHAROS Ai flight-data events feeding AURORA Ai are planned; PHAROS Ai is in development.

Training

From a hired pilot to a crew that is current.

  1. HIRE Ai takes a pilot from application through assessment to the hiring decision.

    Start

  2. The pilot's qualifications are kept in your training-records system.

    Your system

  3. CREW Ai publishes a roster only when every assignee's qualifications are current.

    Connected to your training records

  4. MENTHOR Ai checks qualifications again at check-in and holds check-in if anyone on the flight is not current.

    Connected to your training records

  5. EPHOR Ai records the authority's approval of training material alongside.

    Alongside

CREW Ai and MENTHOR Ai each read qualifications from your training-records system, not from each other.

Flight Ops

From the flight paperwork to the daily brief.

  1. FLIGHT Ai reads the fuel figures and return paperwork crews file in ForeFlight Dispatch.

    Connected to ForeFlight

  2. MENTHOR Ai uses FLIGHT Ai's flight records, for example to fill in pilots' logbooks.

    Connected · set up per deployment

  3. PINAX Ai's daily brief shows MENTHOR Ai's crew-readiness check for upcoming flights, next to on-time performance from your operations-control system.

    Set up for each operator

CREW Ai builds and repairs the roster; it is not yet connected to PINAX Ai.

Every connection and its status

Cross-product connection status
ConnectionStatusWhat this means
CARE Ai ↔ XENIA AiImplemented interface · activation requiredA signed bridge provides staff handoff chat and concierge administration. The services and their knowledge stores remain separate. The bridge has been tested outside production; production activation is separate.
TRACE Ai → DELPHI AiImplemented interface · requiredDELPHI Ai supplies cited document retrieval, investigation drafting and drafts of document changes to TRACE Ai, which needs a DELPHI Ai service to run. TRACE Ai retains the investigation record; endpoint access and source permissions are configured for the deployment.
TRACE Ai → FOLIO AiImplemented interface · activation requiredWhen an action owner accepts a drafted document change, TRACE Ai can send it to FOLIO Ai as a Notice to Staff for the department head to issue or return, and records the outcome. A notice does not change the manual's revision, and both products switch the connection on for the deployment.
DELPHI Ai → FLIGHT AiImplemented interface · configuration requiredDELPHI Ai administrators can query FLIGHT Ai flight records through read-only tools. Where FLIGHT Ai uses single sign-on, connecting DELPHI Ai is implementation work.
FLIGHT Ai → MENTHOR AiImplemented interface · configuration requiredMENTHOR Ai can read FLIGHT Ai flight records through its own registered service identity, for example to fill in pilots' logbook entries.
MENTHOR Ai → DELPHI AiImplemented interfaceDELPHI Ai writes MENTHOR Ai's monthly crew coaching from de-identified profiles. Where the operator enables it, MENTHOR Ai also offers DELPHI Ai as its knowledge assistant, and crew access to it can be switched off separately from the training workspace.
MENTHOR Ai → PINAX AiImplemented interface · configured per operatorThe PINAX Ai daily brief can show MENTHOR Ai's crew-readiness check for upcoming flights. The feed is set up for each operator during implementation.
AURORA Ai ↔ TRACE Ai / FOLIO AiImplementation scopeDefine case or document ownership, identifiers, permissions, and the transfer method.
PHAROS Ai → MENTHOR AiNot implementedA direct PHAROS Ai feed into MENTHOR Ai is a future workflow, and PHAROS Ai remains in development. MENTHOR Ai Auto Training turns recurring events into course assignments today from an existing FDM provider's event export.
See the safety-to-training workflow and its boundaries ↗
Choose by responsibility

Which product should own the work?

AURORA Ai already includes investigations, document control, and training records. Choose a specialist product when its dedicated workflow matches a separate requirement.

Safety management, investigations, and manual control
Starting pointPrimary jobWhere the record livesNative scope and product fit
AURORA Ai ↗Safety and quality managersRun reporting, risk, audits, corrective action, and closure in a standalone SMS/QMS.Occurrences, investigations, risk decisions, actions, and controlled documents in AURORA Ai.Includes its own investigation, document-control, and training-record functions. Start here when the main requirement is SMS/QMS.
TRACE Ai ↗Safety investigatorsRun an investigation with an autopilot, AI phone interviews, evidence, and recommendations.Safety cases, investigations, evidence, and interview records in TRACE Ai.Choose for a focused investigation workflow. AURORA Ai is not required; agree the case handoff if retaining another SMS.
FOLIO Ai ↗Manual owners and document controllersCarry structured manual content from import and draft through approval, release, and acknowledgment.Manual content, revision packages, releases, and reader acknowledgments in FOLIO Ai.Choose for a dedicated manual lifecycle. If AURORA Ai is also under evaluation, compare its native document workflow with your requirements.

Evaluate AURORA Ai when consolidating SMS/QMS work, TRACE Ai when replacing a separate investigation process, and FOLIO Ai when replacing a manual-control process. If you retain an existing system, identify the authoritative record and agree the migration or handoff.

See connection status ↓Plan your evaluation ↗
The FlightAtom portfolio

Start with the work you want to improve.

Choose the product that fits your team. Each has its own purpose, workflows, and product walkthrough.

Aviation knowledge AI

DELPHI Ai

DELPHI Ai chat in which a safety officer asks whether a passenger can carry a 120 Wh power bank; the answer, labelled Grounded from manuals with high confidence, says yes with operator approval for power banks above 100 Wh and up to 160 Wh, with Key Details on cabin baggage, the check-in approval step and the 160 Wh limit, each marked S1 or S2; below, two source cards from a demonstration Dangerous Goods Manual, section 4.2 at 80% and section 4.3 at 78% relevance, the first expanded to show its cited passage and a View PDF source link for page 2, with synthetic demonstration data

Cited answers from approved manual revisions, a source-support check on manual answers, and no guessing when the evidence is weak.

Explore DELPHI Ai ↗
Safety investigations

TRACE Ai

TRACE Ai investigation page with synthetic demonstration data for a fictional unstable approach and go-around of flight DEM 214 at Demo Field. The investigation guide lists eight stages from Plan & prepare to Review & follow up: Plan & prepare is ticked and tagged Autopilot draft, and Collect & debrief is open with its purpose, working outputs and working notes headed Autopilot draft. Below, the Autopilot panel shows its eight-stage strip, the status Waiting for the interviews before analysing, and a Waiting for you note that one person's questions need approval before anyone is contacted.

An eight-stage investigation method, an autopilot that drafts each stage, AI phone interviews with Tracy, and cited HFACS and TEM analysis of the accounts.

Explore TRACE Ai ↗
Roster optimization & disruption recovery

CREW Ai

CREW Ai roster grid for 1 to 18 October 2026 with synthetic demonstration data: fictional captains, first officers, senior cabin crew and cabin crew, each day showing a DEM flight number and destination, a layover at CYYZ or a day off, with today's column highlighted, the duty-type legend and the collapsed FTL Headroom panel

Solver-built rosters checked against flight-time limits, signed-off publication, ranked disruption recovery, crew-demand planning, pay and crew self-service.

Explore CREW Ai ↗
Standalone SMS / QMS

AURORA Ai

AURORA Ai Today view for a safety manager, with synthetic demonstration data. The Aurora brief titled Operations handover, tagged Critical watch and 88% confidence, summarises 12 active signals at a critical watch level above a strip of 9 open occurrences, 2 this month, 5 open risks and 5 high risks, with a Build handover button. Quick actions read Report occurrence, Add action and My actions. Below, the Queue shows For me 40, Delegated and Inbox 38 with module facets and overdue items such as an emergency response plan to read and corrective actions; on the right are critical Signals and a Health grid of registers by urgency.

A standalone SMS and QMS with confidential reporting, bowtie risk on live barrier checks, gated closure and dossiers a regulator can verify.

Explore AURORA Ai ↗
Pilot training management

MENTHOR Ai

MENTHOR Ai Daily Crew Readiness board with synthetic demonstration data: seven of today's fictional DEMO flights, each listing its captain, first officer, senior cabin crew member and two cabin crew with a readiness dot. Five flights are all green with check-in marks, one with an RHS chip on the first-officer seat. The flight from EIDW to KEWR shows a red dot for the first officer, amber not-checked-in marks and green US Visa chips. A later flight shows a blue instructor-only captain and not-yet-open clock icons. A legend shows Ready, Instructor only, Expired, Unknown and Checked in, with a Refresh records button.

Pre-flight checks of every rostered crew member, check-in closed until the whole crew is compliant, and Auto Training from recurring FDM events with the pilot confidential from the training team.

Explore MENTHOR Ai ↗
Pilot recruitment and assessment

HIRE Ai

HIRE Ai candidate portal showing question 3 of 20 in the Emergency Procedures module. The module clock shows 19:32 remaining, and a 50-second countdown pill sits beside an Exit button. Below a progress bar, a question about an unpressurized aircraft without an alternate static source has a countdown bar and four answer options, with synthetic demonstration data

Proctored pilot assessments, an AI-voiced English test scored by speech assessment, and a hiring flow from application through onboarding to training.

Explore HIRE Ai ↗
Employee portal and access

WORKSPACE

WORKSPACE "Your account" panel open over the Applications page under a neutral Demo Airline label, showing a Microsoft logo beside the synthetic employee Alex Demo and alex.demo@example.test, the line "Your Microsoft account and application access are managed by Demo Airline", a Sign out button and a Close button, with the dimmed application cards and the sidebar visible behind, with synthetic demonstration data.

One Microsoft work account and one page for every granted workspace application, with access levels, restrictions, accounts ready before the first sign-in, and admin previews.

Explore WORKSPACE ↗Deployed per operator
Manual authoring & control

FOLIO Ai

FOLIO Ai Import Word Document dialog for Chapter 10 Dangerous Goods and Baggage: a detected structure tree of numbered sections 10 to 10.3, a preview of section 10.1.2 Loading and Segregation with blocks labelled text, table, list, caution, warning and note, and a green reconciliation panel with the source SHA-256, a note that no unsupported constructs were found and an Import 7 Sections button, with synthetic demonstration data

Word manual import, AI review against the regulations each section cites, independent approval, change bars and read-and-sign releases.

Explore FOLIO Ai ↗
Flight operations analytics

FLIGHT Ai

FLIGHT Ai Return Docs view filtered to flights missing return documents for base KJFK, showing 270 return flights and 16 with gaps, above two flights: DEM612 from KDCA missing its security search and DEM522 from KBWI missing its logbook and fuel slip, each with green and amber required-document chips, uploaded photo thumbnails of fictional forms tagged General, Fuel Slip, NavLog, NOTOC, EPERF Takeoff or EPERF Landing, a Missing status, pilot names, a reminder-sent note and Send email buttons, with synthetic demonstration data

Missing-document checks with crew reminders, AI reading of crew paperwork, weight and fuel cross-checks, per-aircraft fuel bias, low-fuel arrivals and fuel burn prediction.

Explore FLIGHT Ai ↗
Operations & on-time performance

PINAX Ai

PINAX Ai full-screen wallboard with synthetic demonstration data. An amber On-time Performance banner reads Room for improvement, driven by A15 75.0% (4 eligible), KBOS MVFR and D15 80.0% (5 eligible), with 5 of 5 due sectors operated. Flight progress cards follow DEM flights out of and back to New York. KPI cards show OTP D15 80.0% (D0 40.0%), OTP A15 75.0% (A0 50.0%) and 7.8 min delay per sector. Below are a departure punctuality chart by flight, three open actions for Network Operations, three delay codes with their lead department or External, and airport weather tiles.

A live on-time performance wallboard, a year of delay-code and block-time analysis, and a daily brief and weekly delay report built from the same flight records.

Explore PINAX Ai ↗
AI dashboards and reporting

VISION Ai

VISION Ai My board page for Demo Airline with the period set to Last 30 days, KPI tiles for load factor 83.8%, on time (D15) 86.9% and delay minutes 6952 showing changes against the previous period and progress against targets, a Why? button, a delay minutes by station bar chart, a weekly delay minutes line chart with a trend line and projection, and the open What stands out panel listing a weekly pace finding and the station with the most delay minutes, with synthetic demonstration data.

Build dashboards from plain language, test-run every AI-written dashboard query, show each reader only their permitted rows, trace each figure, and schedule reports and alerts.

Explore VISION Ai ↗
Training oversight and approvals

EPHOR Ai

EPHOR Ai Training schedule in calendar view for October 2026, signed in as an authority inspector. A colour legend covers simulator, line training, line check, OPC, base training, ground school, recurrent, CRM, SEP, TTT and type rating sessions. Below it is a month grid of sessions published by Demo Airline, each showing a start time or 'time TBC', with synthetic demonstration data.

Approve course material with a numbered certificate tied to the exact files, keep instructors on approved versions, and coordinate inspector observations.

Explore EPHOR Ai ↗
Flight data monitoring

PHAROS Ai

PHAROS Ai triage queue of new events for demo tails N101DM to N104DM, such as unstable approaches at the 1000 ft and 500 ft gates, high energy on approach and flap overspeeds, each with severity, date, flight phase, age, state and a triage score bar on medium and low events (a dash on high ones). The footer reads 1-50 of 247 new and 3,055 data gaps excluded. The preview for a medium unstable approach on KSAV to KBOS shows its dossier in draft, captured values such as 141 kt at the gate, and the analyse run, event set, dataframe and decoder behind it. Synthetic demonstration data.

ARINC 717 decoding that keeps the data around a damaged span, events tied to their recording, a keyboard triage queue, measurements and SPIs, and crew identity released only on FDM Agreement terms.

Explore PHAROS Ai ↗In development
Airline customer service

CARE Ai

CARE Ai conversation details for a resolved call. At 9:58 AM the guest asks whether flight 214 from Boston to Toronto is on time and how many bags they can check. The voice agent says the flight is on time and scheduled to leave Boston at 1:00 PM, as read from the operations system at 9:59 AM Eastern time. It then gives the two-bag, 23 kg allowance. The timeline lists the flight-status check, the knowledge search and the resolution, and cited baggage-allowance passages show their source and version. Synthetic demonstration data.

A realtime AI voice agent for airline calls, with governed knowledge, guest-brief handoff, and scripted test calls.

Explore CARE Ai ↗Operator activation
AI travel concierge

XENIA Ai

Two views of the XENIA Ai chat for a fictional Demo Airline, with its permanent AI label. Left: a traveller asks for four nights in Lisbon around food and walking, and XENIA Ai gives a day-by-day plan (Alfama, Belém, Sintra, Chiado) with fictional venues, a partner hotel, links to three demo sources and a Flight + hotel package button. Right: follow-ups bring a four-day forecast in °F and °C with rain chances, a sea temperature of 67°F (19°C), a suggestion to swap Sintra for the tile museum on the showery day, and the dates of an autumn wine fair. Synthetic demonstration data.

Trip planning in chat, prefilled booking links only for days the schedule flies, consented enquiries and live-agent handoff, with every reply checked by code.

Explore XENIA Ai ↗Preview
Applied AI

Useful intelligence.
Visible evidence.

AI earns its place by helping someone do a specific job: find the source, examine the evidence, or prepare the next decision.

Knowledge

Find the answer. Open the source.

DELPHI Ai answers from the manual revisions an administrator has published, cites the document, section and page, and declines to answer when the evidence is weak.

Explore DELPHI Ai ↗
Investigation

Build a clearer account of what happened.

TRACE Ai's autopilot drafts each investigation stage, and Tracy, its AI voice interviewer, phones the people involved with questions an investigator approved.

Explore TRACE Ai ↗
Operations

Turn documents into reviewable information.

FLIGHT Ai assists with document extraction and operational analysis, alongside flight, fuel, and ACARS records.

Explore FLIGHT Ai ↗
Dashboards

Describe the view. Refine the draft.

VISION Ai creates and refines charts, tables, and interactive components from assigned data, with visible controls and explicit publication.

Explore VISION Ai ↗

People remain responsible for the decision.

AI assistance and availability are specific to each product. Source coverage, configured services, data quality, and review controls shape the result. Product pages explain the workflow and its operational limits.

Questions & answers

Questions about the platform.

What is all-in-one aviation software?

All-in-one aviation software covers several of an operator's core jobs from one supplier, such as safety management, crew scheduling, training records, manuals and operations reporting. FlightAtom sells these as modules: each keeps its own records, so you can start with one and add others when it is ready.

Is FlightAtom one system or separate products?

FlightAtom is one platform made of modules. Each module keeps its own records, so you can start with one. Where modules connect, the connection is set up for your operation, and WORKSPACE gives employees one Microsoft sign-in to the modules you connect.

Who is FlightAtom for?

Small and startup airlines and aircraft operators that want their safety, crew, training, manuals and operations software from one supplier, without buying every module at once.

Do the modules share one login?

Employees sign in once with their Microsoft work account through WORKSPACE and open each connected module without signing in again. Each module is connected to WORKSPACE during implementation.

Do we need the whole platform?

No. Start with one module and add others when you are ready. AURORA Ai, the safety and quality management module, is not a required starting point. TRACE Ai runs with DELPHI Ai's retrieval service, so the two are deployed together.

See FlightAtom in action

Start with your workflow.

A focused walkthrough, with the people and decisions that matter to your team.

Request a demo