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AirBaltic: History & Companies
airBaltic, legally incorporated as AS Air Baltic Corporation, is the flag carrier of Latvia. Its head office are located on the grounds of Riga International Airport in Mārupe municipality near Riga. Its main hub is Riga, and it operates bases in Tallinn, Vilnius, Tampere and a seasonal base in Las Palmas launched in 2023. It is majority owned (88.37%)…
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AirBaltic topic overview
The analysis highlights History and Companies as prominent areas in the source structure around AirBaltic.
Related topics
86
Source areas
5
Connected nodes
91
Extracted relationships
108
Related term clusters
40
Bridge connections
91
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
History · 46 topics
Destinations · 24 topics
Overview · 14 topics
Accidents and incidents · 1 topics
Award and recognition · 1 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Founded
28 August 1995; 30 years ago (1995-08-28)
Headquarters
Mārupe municipality, Latvia
Commenced operations
1 October 1995; 30 years ago (1995-10-01)
Destinations
89
Employees
2786 (2024)
Fleet size
55
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AirBaltic
12Flag carrier · Latvia · Riga International Airport
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
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Advanced semantic analysis
How AirBaltic connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around AirBaltic shows recurring relationship patterns in the source. For example, AirBaltic → A220, Airbus A220-300, Airbus Engineering, APU, Auxiliary Power Unit, Boeing, BT-641, BT102, BT694, December, Havilland Dash, In December, June, March, Moscow Sheremetyevo International Airport, Norway, Oslo, Paris, Riga, Riga Airport Another extracted example is AirBaltic → Air Baltic, August, Baltic International Airlines, Baltic International USA, BIA, BIUSA, Government, June, Latavio, Latvia, Latvian, October, Operations, Riga, Riga International Airport, Saab, SAS, Scandinavian Airlines, SIA Baltic International Airlines, US. Use these groups to spot repeated connection types before inspecting the individual relationships.
AirBaltic
Top relations
related to Accidents and incidents· 26
AirBaltic → A220, Airbus A220-300, Airbus Engineering, APU, Auxiliary Power Unit, Boeing, BT-641, BT102, BT694, December, Havilland Dash, In December, June, March, Moscow Sheremetyevo International Airport, Norway, Oslo, Paris, Riga, Riga Airport
related to history· 21
AirBaltic → Air Baltic, August, Baltic International Airlines, Baltic International USA, BIA, BIUSA, Government, June, Latavio, Latvia, Latvian, October, Operations, Riga, Riga International Airport, Saab, SAS, Scandinavian Airlines, SIA Baltic International Airlines, US
related to Development since 2010· 10
AirBaltic → BAS, CEO, Hungarian, In August, Latvia, Malév Hungarian Airlines, Martin Gauss, October, Oulu Airport, September
related to Codeshare agreements· 7
AirBaltic → Aegean AirlinesAir CanadaAir FranceAir, Air PortugalTAROMTurkish AirlinesUzbekistan Airways, AirlinesBulgaria AirDelta Air LinesEl, AirlinesSwiss International Air LinesTAP, Al Israel AirlinesEmiratesIberiaIcelandairITA AirwaysKLMKM, Malta AirlinesLOT Polish AirlinesLufthansaScandinavian, SerbiaAustrian AirlinesAzerbaijan AirlinesBritish AirwaysBrussels
related to Livery· 7
AirBaltic → A220, A319, A320, A320neo, Avro RJ70s, In December, Until December
related to Destinations· 5
AirBaltic → Europe, Middle East, Riga, Tallinn, Vilnius
related to Award and recognition· 4
AirBaltic → Best Airline, Eastern Europe, June, Skytrax
Secondary hubs· 3
AirBaltic → Tallinn, Tampere, Vilnius
Parent company· 2
AirBaltic → Government of Latvia (88.37%), Lufthansa Group (10%)
related to Current fleet· 2
AirBaltic → Airbus A220, April
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 108 structured relationships around AirBaltic. Examples in this analysis include AirBaltic → Commenced operations → 1 October 1995; 30 years ago (1995-10-01) and AirBaltic → Destinations → 89. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
AirBaltic
Commenced operations
1 October 1995; 30 years ago (1995-10-01)
1.00
infobox
AirBaltic
Destinations
89
1.00
infobox
AirBaltic
Employees
2786 (2024)
1.00
infobox
AirBaltic
Fleet size
55
1.00
infobox
AirBaltic
Focus cities
Gran Canaria
1.00
infobox
AirBaltic
Founded
28 August 1995; 30 years ago (1995-08-28)
1.00
infobox
AirBaltic
Frequent-flyer program
airBaltic Club
1.00
infobox
AirBaltic
Headquarters
Mārupe municipality, Latvia
1.00
infobox
AirBaltic
Hubs
Riga
1.00
infobox
AirBaltic
IATA
IATA ICAO Call sign BT BTI AIR BALTIC
1.00
infobox
AirBaltic
Key people
Erno Hildén (CEO)
1.00
infobox
AirBaltic
Net income
€-44.3 million (2025)
1.00
infobox
AirBaltic
Operating income
€-118.2 million (2024)
1.00
infobox
AirBaltic
Parent company
Government of Latvia (88.37%)
1.00
infobox
AirBaltic
Parent company
Lufthansa Group (10%)
1.00
infobox
AirBaltic
Revenue
€779 million (2025)
1.00
infobox
AirBaltic
Secondary hubs
Tallinn
1.00
infobox
AirBaltic
Secondary hubs
Vilnius
1.00
infobox
AirBaltic
Secondary hubs
Tampere
1.00
infobox
AirBaltic
Total assets
€1,496 million (2025)
1.00
infobox
AirBaltic
Total equity
€-184 million (2025)
1.00
infobox
AirBaltic
Website
airbaltic.com
1.00
infobox
No triples extracted yet.
Related concept clusters Related term clusters
Related term clusters group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around AirBaltic bring nearby vocabulary together. In this analysis, examples include Aircraft, Airport and Announced. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
riga international airport
Riga
Flight
Vilnius
Airlines
Tallinn
December
A220-300
Airbus
Destinations
Due
New
Airport
vilnius
Tallinn
Destinations
Airlines
Airport
Riga
Operates
Company
Fleet
Air
New
A220-300
Airline's
airbus a220
A220-300
Due
Riga
Operates
Aircraft
Airport
A220
Airbus
Flights
Flight
Fleet
Livery
airline alliance
Sas
Airlines
Plans
Fleet
New
International
June
Latvian
Company
Flights
Million
Airport
malév hungarian airlines
Destinations
Tallinn
Vilnius
International
Airport
Government
Latvia
Airline
Operates
Ceo
Lufthansa
Sas
airbus
A220-300
Due
Riga
Airport
Aircraft
A220
Flight
Flights
Livery
December
Destinations
Operates
aegean airlines
Destinations
Tallinn
Vilnius
International
Airport
Government
Latvia
Airline
Operates
Ceo
Lufthansa
Sas
austrian airlines
Destinations
Tallinn
Vilnius
International
Airport
Government
Latvia
Airline
Operates
Ceo
Lufthansa
Sas
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For AirBaltic, one of the stronger structural bridges in this analysis connects AirBaltic with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
AirBaltic
Nodes92
Edges91
Triples108
Avg. degree1.98
Density0.021739
Components1
Source & methodology
TTTA analyzes the structure around AirBaltic to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
