# AtomBeam

**Canonical:** https://apis.io/providers/atombeam/  
**Website:** https://www.atombeamtech.com/  
**APIs profiled:** 0

AtomBeam Technologies is a Moraga, California software company founded in 2017 that sells "Compaction" — a machine-learning approach to shrinking machine-generated data that replaces recurring bit-level patterns with codewords drawn from a trained codebook, rather than compressing bytes. Its Neurpac product is an on-premises, protocol-agnostic bidirectional compaction tunnel that reduces IoT, telemetry and file payloads by roughly 75% while encrypting and obfuscating them in transit; Neurcom and PCM are earlier-stage research products. AtomBeam licenses the software to IoT device and gateway makers, satellite and LPWAN operators, telcos, and the US Department of Defense, and has raised capital through Regulation A and Regulation CF crowdfunding on StartEngine. There is no public developer API program: the customer-facing surface is the login-gated AtomBeam Customer Portal (codebook generation and simulation) plus a Jira Service Management support portal.

## Kin Score — 15.7 / 100 (emerging)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 15.7).

| Facet | Score |
|---|---|
| Discoverability | 68.5 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 6.5 |
| Commercial Clarity | 34.2 |

## Agent readiness — 3.6 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | yes |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Security (1)

- **Atombeam Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Company, Data Compression, Internet of Things, Edge Computing, Satellite Communications, Machine Learning, Data Management, Defense, Telemetry

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/atombeam/). Scores are computed from the provider's own public artifacts under a published rubric.