Praneet Kothavade's Contact Details

Praneet Kothavade's Company Details

Lucera Financial Infrastructures

New York, NY, US • 50 - 99 Employees
Technology Consulting/Tech Services

Financial firms need a new approach to infrastructure to support their strategies, growth and success in today's market.Increasingly automated trading strategies and growing volumes of market data along with tighter regulations and a continued need for speed and performance mean that current infrastructure in many businesses will not meet the needs of today's capital markets.Lucera offers on-demand, purpose-built infrastructure to provide high performance computing (HPC) and low-latency software defined networking (SDN). Lucera runs on 17,000 miles of the fastest divergent transcontinental fiber and is collocated in premier Equinix datacenters in New York, London and Chicago. Trading firms around the world are caught between expensive, impractical vendor solutions and internal IT teams without the time or resources needed to meet the demands of the business. Many infrastructure solutions still lack the security, performance and reliability required by financial firms. Lucera is changing the world of financial computing by providing secure and reliable infrastructure built to meet the performance demands of financial trading.LumeFX: An Intelligent FX Technology PlatformWhile building Lucera, the team launched LumeFX, a distributed matching and aggregation system, with an adaptive smart order router (SOR). LumeFX was built to optimize your trading business in the spot FX market, while Lucera manages all the underlying infrastructure and networking. LumeFX uses an adaptive smart order router (SOR) to analyze trade order holding time and fill rates. This helps to identify unexecuted trades, actionable firm liquidity and facilitate high-quality, efficient executions. By distributing the application to each market participant LumeFX eliminates any kind of central matching server, so that financial exchanges can excel even in a market where data volumes are exploding.