India's aviation industry is the third largest domestic market globally, and that size brings operational complexity. However, because of older legacy systems, much of the software running airlines remains fragmented across departments. Crew planning, maintenance, reservations, training, and compliance generate their own data, creating data silos that make it difficult for airlines to anticipate problems and reduce delays.
That gap is where Delhi-based aviation technology company RayMach Technologies is trying to position itself.
Founded in 2016 by aerospace engineer Mudit Verma and Anoop Goel, RayMach is developing AI and data tools to connect information in an airline's existing systems and use it for operational planning, compliance, and automation. The company works to put an intelligence layer across the airlines’ existing systems.
The opportunity is growing as the aviation market grows. India's aviation MRO (maintenance, repair, and operations) software market, a distinct segment from the country's much larger physical maintenance and repair industry, is projected to reach $530 million in 2026, according to Fortune Business Insights. With Indian carriers amassing an order book of nearly 2,000 aircraft, that software segment faces a significant growth runway as fleets expand faster than the digital infrastructure needed to manage them.
The Data Problem
The consequences of fragmented systems became particularly visible during India's aviation disruptions in late 2025, when IndiGo cancelled hundreds of flights as it struggled to comply with the revised Flight Duty Time Limitation rules. The changes mandated weekly pilot rest to 48 hours and reduced permitted night landings from six to two.
Verma argues that better use of existing operational data could have helped identify such a mismatch earlier. "We actually tell airlines preemptively about manpower issues, roster issues," the co-founder and CEO tells AIM.
RayMach started with a narrower focus on data engineering and aviation software. Before the pandemic, it worked with airlines including SpiceJet and IndiGo on data-related deployments.
Verma recalls that when RayMach began in 2016, Indian aviation had relatively little focus on dedicated data engineering. "There was no AI, there was no data engineering concept," he adds.
The company's AeroMach neural intelligence and operations platform is designed to integrate with an airline's legacy software, cloud infrastructure, and manual workflows. It draws information from areas including crew rosters, maintenance records, and reservations and puts it into a common environment.
"There is so much data within the ecosystem that can be utilised for multiple purposes or to optimise operations, but it is only lying there because nobody has got that focus," Verma notes.
AeroMach allows department heads to query operational data through prompts and create dashboards without having to understand the underlying data architecture.
The 50-member company is also using the system for more specific operational applications, including maintenance predictions, fuel-use analysis, and crew compliance checks. Verma said the platform can check pilot duty hours against regulatory limits before a flight and flag potential violations.
Smaller Models
RayMach's approach differs from the common strategy of building enterprise products around large third-party AI models.
Over the last five year, the company has developed its own language and small language models for aviation applications. The models are trained for different aviation sub-verticals, including crew training and ground operations, because the underlying data and workflows vary between functions.
RayMach says client data is not shared with external AI providers.
Verma is also sceptical of using large language models for every enterprise task. "We don't need to be heavily reliant on AI," he says, arguing that smaller models combined with conventional automation can be more economical for specialised aviation workflows.
Beyond Prediction, Automation
RayMach says its software automates processes that have traditionally depended heavily on manual work.
Verma cites one airline that had outsourced a 500-person revenue and reservations operation to a third-party provider. RayMach automated the workflow and reduced its cost to about one-tenth of the previous vendor expense, per the co-founder.
The company operates on a direct B2B model, selling to airlines, airports, and non-scheduled operators. Its products include AeroMach, an AI operating System built for airlines and airports, and eLogMach which is an electronic logbook system.
The company is entering a market that already includes established aviation technology providers such as CAE and IBS Software, which offer airlines systems spanning areas including operations, maintenance and training. RayMach works alongside some of these companies on implementation projects while also competing for parts of the same enterprise technology budget.
The startup earned $356,000 in FY26 and is projecting an annual revenue of $800,000 for the current financial year.
Verma argues that RayMach's differentiation is the use of aviation-specific AI and smaller models rather than generic enterprise AI. He also claims the company's pricing is around one-tenth that of comparable international vendors.
However, the volatile and margin-thin nature of the aviation industry has also created hurdles. In November 2023, RayMach filed an insolvency petition against SpiceJet over ₹2.7 crore in unpaid dues relating to consulting work. The two companies settled in 2024, after which RayMach withdrew the petition.
Verma says payment cycles and resistance to adopting new technology remain challenges in India. The company has expanded into the UAE and is looking at other international markets.
The Next Test Is Scale
RayMach has so far operated without external funding. Verma said the company plans to raise its first institutional round this year, with the capital intended primarily to support international expansion.
The startup is targeting the Middle East and Asia-Pacific, with the US as a longer-term market.
That expansion comes as Indian airlines prepare for a much larger operating footprint. That puts pressure not only on fleets and airports but also on pilots, maintenance personnel, and other operational infrastructure. For RayMach, that creates a potentially large software opportunity to turn data into measurable operational improvements.
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