Kyra Information

KyraDB — Turn unorganized signals into deterministic decisions. AI agents are moving into production — closing deals, triaging incidents, reviewing code, making decisions that affect real customers. But enterprise agents have a fundamental problem: they operate blind. They don't know who owns what, what broke last week, or what was decided three months ago. They hallucinate answers, act on stale context, and when multiple agents work together, they silently overwrite each other's decisions. The root cause isn't the model. It's the missing infrastructure layer underneath. KyraDB is the causal context engine for enterprise multi-agent AI. It ingests signals from every system in your organisation — Slack, Jira, CRM, HRIS, email, code — builds a structured knowledge graph of your enterprise, and delivers agents an immutable, auditable context snapshot before every decision. Three things no existing database provides: - Causal consistency. Every agent reads an immutable ContextBundle with a causal token. When two agents act on conflicting context, KyraDB detects it before it corrupts your system. Provably correct multi-agent coordination. - Structural knowledge, not text chunks. "Who owns the payments service?" is a graph traversal returning a person, their history, and their open actions — in under 10ms. Your agents reason on structured facts, not keyword matches. - Compliance-grade audit trail. Every agent decision is tied to an immutable record of exactly what it saw and what state it acted on. When a regulator asks what your agent knew, you have a provable answer. Built in Rust. Benchmarked at 1,965 agent actions/sec with zero invariant violations. Deployed on-premise — your data never leaves. For FinTech, LegalTech, and regulated enterprises where agent mistakes have consequences.