Atombeam Technologies Inc.
Atombeam Technologies Inc.

Atombeam Technologies Inc.

Featured

Optimizing Data and Judgement Through AI

series-b
AI/ML
Moraga

About

Atombeam Technologies is building the data layer and the judgment layer for a machine-driven world. Neurpac makes machine data smaller, faster, and secure the moment it's created. PCM, the Persistent Cognitive Machine, works out what that data means, and it keeps learning as it goes. One makes machine data cheap to move; the other makes it cheap to understand. PCM is in alpha today. It is a geometric AI architecture that leaves the transformer approach behind. Today's AI runs on brute force: massive datasets, massive data centers, and a retraining bill every time the world changes. PCM is designed to learn concepts the way a brain does, continuously and from real use, keeping what it has learned instead of starting over. It's built for persistent, adaptive intelligence at the edge, not in a power-hungry data center. Neurpac is already in the field. It uses AI to compact machine data in real time, typically to a quarter of its original size, while encrypting it at the same time, with no loss of information and near-zero latency. That means lower bandwidth costs, longer range and battery life for connected devices, and security built into the data itself. Atombeam has held U.S. Government contracts since 2021, including work for the U.S. Air Force and for the Space Development Agency, a unit of the U.S. Space Force. It has six completed government contracts, a commercial customer running Neurpac in production, and multiple pilots across defense, satellite, IoT, and critical infrastructure. Machine data is multiplying, and AI compute keeps getting more expensive. Atombeam has a product for each problem.

$50.0M

Raised

$40.0M

Seeking

65

Team Size

2017

Founded

Pitch Video

Tags

AtombeamAtombeam TechnologiesNeurpacPCMPersistent Cognitive MachineData As CodewordsData CompactionData CompressionEdge ComputingEdge AIIoTMachine DataData SecurityEncryptionBandwidth OptimizationLow LatencyEmbedded SystemsArtificial IntelligenceAIMachine LearningGeometric AICognitive ComputingEfficient AIAI ArchitectureNext Gen AIBeyond TransformersContinual LearningDeep TechDefense TechSatComSatellite CommunicationsSmart GridConnected DevicesCritical InfrastructureAutonomous SystemsSpace TechTech InnovationStartupB2B TechData InfrastructureFuture Of Data

Founder

CY

Charles Yeomans

CEO

Details

Revenue ModelLicensing
CountryUnited States

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