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Media Kit

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Logos | 2 Assets
Full color logo
Full color logo 5
Full color logo horizontal
Full color logo horizontal 5
Headshots & Bios 14 People
Yury Alkhazov
Yury Alkhazov
Anna Criscione
Anna Criscione Global Head of Tech Partners
Biplab Banerjee
Biplab Banerjee
Mark Simborg
Mark Simborg
Andrew Keene
Andrew Keene
David Flower
David Flower
Michael Stonebraker
David Rolfe
David Rolfe Global Head of Solutions
Madhup Mishra
Ruth Morgenstein
Seeta Somagani
Dheeraj Remella
Dheeraj Remella
Cory Martin
Cory Martin
Briana Matejcik
Briana Matejcik Global Head of Tech Partners
Boilerplates | 3 Resources

Short Boilerplate

Volt Active Data, previously VoltDB, is a technology company that provides the real-time decisioning layer for mission-critical systems. The company enables authoritative, deterministic decisions in milliseconds by maintaining operational state and recording outcomes atomically under sustained load.

Medium Boilerplate

Volt Active Data is a technology company that provides the real-time decisioning layer for mission-critical systems. The company enables organizations to make authoritative, deterministic decisions in milliseconds, even under sustained load. Volt Active Data maintains continuously updated operational state, executes decision logic in the critical path, and records outcomes atomically as authoritative truth.

Long Boilerplate

"Volt Active Data, previously VoltDB, is a technology company that provides the real-time decisioning layer for mission-critical systems. The company helps organizations make authoritative, deterministic decisions in milliseconds, even under sustained load. In modern architectures, signals move quickly but decision authority often arrives too late or on inconsistent state. Volt Active Data closes this gap by maintaining continuously updated operational state, executing decision logic in the critical path, and recording outcomes atomically as authoritative truth. By turning streaming signals and AI intelligence into enforceable decisions, Volt Active Data enables organizations to operate predictably, protect revenue, and manage risk without degrading correctness at scale."