Bisonai designs, builds and operates production infrastructure for blockchain networks and for quantitative trading. Two kinds of client, one discipline.
An explorer that drops a transaction and a trading system that acts on a stale price fail the same way — quietly, at speed, and expensively.
Oracles, explorers, indexers and the data plane beneath them. When a network appoints us its official provider, we carry the uptime — not just the code.
Real-time market data across venues — normalized, gap-checked, delivered fast enough to act on. Built to our own desk's standard first, then opened to others.
The pipelines that keep an oracle honest are the pipelines that keep a strategy fed. One engineering practice, two clocks.
Three disciplines, one bar for correctness across all of them.
Oracles, explorers and indexers running as the official infrastructure of a public network. We take the unforgiving parts — reorgs, backfills, consensus edge cases — so the applications above us never think about them.
Ingest at chain and market speed, reconcile sources that disagree, serve through APIs that hold up under real query load. Most of our engineering hours live here — and it is usually what a client is really buying.
Systematic strategies sit on top of data that has to be right: venue connectivity, normalized ticks, gap detection, and backtests that survive contact with live markets. A stale price is a wrong price — the same correctness bar we hold on-chain.
Two are the official infrastructure of a national-scale public blockchain. The third we built for ourselves.
We built and operate the official explorer of Kaia, one of Asia's largest public blockchains — every block and token indexed the moment it lands, plus an open API carrying the chain's longest history.
kaiascan.io Official oracle · Kaia Orakl NetworkA smart contract cannot see outside its own chain. Orakl carries outside data onto it, on schedule and verifiably. Open source, in production, used by contracts that cannot afford a wrong number.
orakl.network Real-time market data · In-house DataMaxi+Market data across venues, normalized and gap-checked, fast enough to trade on. Built because the desk needed it; now a product for other quantitative teams.
datamaxiplus.comAppointments, not announcements — each came with an operational responsibility attached.