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/Index/Krila AI/A joined airline planning layer plus its AI decision outputs
KA

A joined airline planning layer plus its AI decision outputs

KRILA AIManage supplier listing

A joined airline planning layer plus its AI decision outputs: the platform connects to an airline's PSS and to OAG and ATPCO feeds, then joins schedules, bookings, competitive capacity and demand signals at origin-destination level in one always-current store — and, as byproduct, retains the Krila Score route rankings with their explicit factor decompositions (demand, connectivity, competitive gap, operational fit), the what-if scenario runs with their contribution/load-factor/aircraft-availability sensitivities, and the drafted competitor-response options with attached confidence levels and visible assumptions.

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Krila AI/A joined airline planning layer plus its AI decision outputs
SampleCoverage

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Coverage

Universe, instruments and categories.

Industry
Passenger AirlinesApplication Software
Instruments
equities
Categories
Alternative
Price
Reference
Fundamental
Regions
USUKEurope
Sample tickers
LUVDALUALAALALKIAG.LBARYAAYEZJ.LCYRX
Dataset card
Type
not stated
Format
Tabular + agentic text (structured O&D-level joined tables with yield/RASM/fare-class-mix metrics, plus generated decision artefacts — ranked route lists, scenario comparisons, and written response recommendations with assumptions)
Volume
Small today and largely synthetic in the public record — the visible evidence is worked examples rather than a published corpus (a 742-sector-style twin is NOT claimed here). The underlying join is at O&D level across an airline's network, so per-customer volume scales with that carrier's O&D count and booking horizon; total platform volume is currently bounded by a very small deployment footprint.
Users
N/A — enterprise airline SaaS with no consumer registration; and at present essentially pre-commercial: the company record shows a single employee, so the user base is plausibly pilot-scale (single-digit airline seats).
History
not stated
Update frequency
not stated
Growth
Early / pre-launch — a single-person entity with no funding history, a polished but short marketing site (one platform page, ~2.7k characters, five capability blocks, no customer names, no case studies, no news), and a demo-request funnel as the only conversion path.
Launched
not stated
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

supplier index read from their site

Krila AI has not added their own details yet. Not yet on file:

  • Dataset
  • Data dictionary
  • Coverage
  • Provenance
  • Rights & data handling