Safebots
AI Done Right. · The missing trust layer for AI
The Problem
Safety:
AI in open-ended loops is structurally dangerous — structural containment required.
Security:
Sending confidential data to third-party APIs violates GDPR, SOC2, HIPAA.
Cost:
Remote inference is artificially cheap today. When subsidies end, costs explode.
The Solution
Workflows over Agents:
Predictable, policy-governed steps. Structurally prevent dangerous actions.
Sealed Execution:
Cryptographically attested Safebox. Data never leaves. Results auditable.
Network Cost Reduction:
Shared cache across organizations. Open-weight models: 10–50x cheaper. Up to 95% savings.
Why Now
- Open-weight models match frontier — free, 10–50x cheaper inference
- OpenClaw: fastest-adopted open-source project ever — and a documented security disaster
- EU AI Act + GDPR + HIPAA creating urgent, mandatory compliance demand
- AI API subsidies are temporary — self-hosted economics become dominant at scale
Competitive Position
SAFE
AWS / Azure
(Cloud Act applies)
(Cloud Act applies)
✓ Safebox
OpenAI / xAI
(pay us, trust us)
(pay us, trust us)
OpenClaw
1K+ vulns
1K+ vulns
CLOSED (trust)
UNSAFE
OPEN (verify)
Academic Papers
AI Applications
Context & Reasoning
Grokers Knowledge Graphs
AI Research
LAWS: AI Workflow Safety
KV Sequential Compression
PLT: Programming Language Theory
Distributed Systems Research
Magarshak Machine / SPACER
Intercloud Consensus
The Stack
Cryptographically attested sealed environment. Auditable AI workloads. Data never leaves.
Governance layer. Collaborate, manage workflows, enforce policies, publish to the world.
Ingest codebases, websites, videos into structured knowledge graphs for AI consumption.
Business Model
Enterprise Licensing:
$50K–$100K/deployment. Compliance savings alone exceed license fee in year one.
Workflow Marketplace:
Platform fee on every workflow transaction. Priced in SAFEBUX.
Decentralized AI infrastructure currency. Network effect: more Safeboxes → lower cost for everyone.
| Organizations | API Cost/yr | Safebox/yr | Savings |
|---|---|---|---|
| 1 | $1.09M | $50K | 95% |
| 100 | $1.09M | $720 | 99.9% |
| 1,000 | $1.09M | $240 | 99.98% |
Traction
7M+downloads, 100+ countries, $463K net revenue
8EVM mainnets with live smart contracts
4arXiv papers (NeurIPS 2026 / POPL 2027 submissions)
7patents filed
10security audit rounds on Safebots plugin
$50K+validated enterprise deployment price point
Roadmap
Now
AMI live
Dev preview
Dev preview
Q3 2026
3 deployments
SafeBux launch
SafeBux launch
Q4 2026
10 customers
SBIR Phase I
SBIR Phase I
Q1 2027
25+ deploys
Series A
Series A
Greg Magarshak
Chief Architect & Founder
Concert pianist at 14. MS Mathematics, NYU. Teaching AI at IE University NYC. Built 10M-user social platform across 100+ countries, deployed smart contracts on 8 EVM mainnets, filed 7 patents, published 4 arXiv papers. 15 years building the open-source stack that Safebots runs on.