LO:TECH Becomes Licensed Distributor of Kalshi Data, Expanding Institutional Access to $100bn Market

July 8, 2026
 · 
2 min read
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The partnership expands LO:TECH's prediction market data offering with official access to Kalshi's regulated event contracts

Low Observable Technology (LO:TECH), a leading digital asset trading and market data provider, today announced it has become a licensed distributor of Kalshi market data, deepening its commitment to delivering institutional-quality prediction market data to professional clients.

The agreement adds Kalshi, the world's largest prediction market, to LO:TECH's growing suite of normalised prediction market data products. Through the partnership, LO:TECH clients will gain access to Kalshi's full range of event market data through LO:TECH's institutional-grade live and historical, normalised data APIs.

“Prediction markets are reshaping how global risk is priced and distributed, and Kalshi has been a pioneer in building the robust, regulated foundation enabling this shift,” said Tim Meggs, CEO of LO:TECH. “As prediction markets have evolved into critical financial infrastructure, our partnership allows us to deliver high-quality, high-frequency order book data at scale for quantitative researchers, funds, and banks.”

LO:TECH's prediction market data offering is built on the same proprietary infrastructure that

underpins the firm's high-frequency trading and liquidity provision operations. By routing Kalshi data through this pipeline, clients receive tick-level granularity in a consistent format, eliminating the need to stitch together raw feeds or manage venue-specific quirks in-house.

“Access to event market contract data is essential for enabling institutional participants to manage and hedge risk more effectively,” added Andy Ross, Head of Institutional at Kalshi. “As institutional adoption of prediction markets continues to grow, our connection with LO:TECH expands access to this data, providing sharper insight into future market outcomes.”

The partnership reflects a broader convergence between prediction markets and institutional finance. Since the 2024 US presidential election, when prediction markets outperformed traditional polling, institutional demand for reliable prediction market data has grown significantly, with use cases including quantitative research, risk management, trade surveillance and compliance monitoring.

LO:TECH's prediction market data is available via Historical API, daily CSVs and Websocket Replay, with enterprise plans available across live and historical access tiers.

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