About HyperQuery™
HyperQuery™ was built by database professionals who were tired of SQL rewrites that look right but run wrong. Our mathematics-based inference engine — grounded in relational algebra and relational calculus — delivers proof-verifiable transformations that public LLMs simply cannot match.
Steve Topper is a serial entrepreneur and senior executive with a career built on founding and leading technology companies. He has served as CEO multiple times across different ventures — most recently as CEO of an artificial intelligence company — bringing a track record of building products at the frontier of emerging technology.
Steve's executive background spans enterprise software, data infrastructure, and AI. He has led organizations through early-stage growth, product-market fit, and go-to-market execution. His experience navigating the intersection of cutting-edge technology and real-world business problems is the driving force behind HyperQuery™'s vision and commercial strategy.
HyperQuery™ reflects Steve's conviction that the next wave of enterprise AI must be grounded in formal mathematics — not probabilistic language models — to meet the correctness and reliability standards that production systems demand.
Bert Scalzo is a world-renowned database expert, author of multiple books on Oracle and database performance, and holder of numerous database certifications. He has spent his career at the intersection of database theory and practical performance engineering, working with organizations globally to solve their most demanding data challenges.
Bert's background in formal database theory — relational algebra, relational calculus, and query optimization mathematics — is the intellectual foundation of ASTRO™, HyperQuery™'s proprietary inference engine. His published work and speaking engagements at major database conferences have made him one of the most respected voices in the industry.
Our mission
Every database, data warehouse, and data lake will suffer poor query performance. It's not if, it's inevitable — especially when constantly fed badly coded SQL and inefficiently written, poorly executing queries. Nothing craters query performance faster. HyperQuery™ was created to eliminate this problem, and does it astonishingly easily with long-proven mathematics — the foundation of SQL itself — not guesswork.
ASTRO™, our proprietary purpose-built, 100% SQL-aware, 100% self-contained (no outside public LLM calls) inference engine, comprised of 100s of powerful algorithms, applies relational algebra and relational calculus to query rewrite performance optimization. Our mission is to empower anyone to optimize any query anywhere — transactional or analytical, on-premises or cloud — with syntactically correct PerfectSQL™, best cost-optimized execution efficiency for optimal execution plan decisioning, and 100s to 1,000s× performance gains.
Accurate and trusted rewrites, verifiable by mathematical proof. Autonomically — no schema needed, no database changes, no app changes, no manual tuning, no additional hardware required, no hallucinations, no trial and error. Just unparalleled results. Every time.