Whitepapers & Documentation

Technical architecture, security frameworks, and deployment guides for investors, partners, and enterprises.

Internal Study

The Loop, Verified — Evidence for Self-Learning

Internal study: evidence that the self-learning loop is operational end-to-end, that the promotion gate both promotes and refuses, and that chain reuse is measurably cheaper. Every finding rests on runs executed 2026-08-05 to 2026-08-06.

Version

0.2-draft

For

TechnicalBusiness

Published

August 6, 2026

Internal Study

Tenant Isolation — Validation Findings

Adversarial validation that an organization's data, settings, and compute stay inside the tenant boundary: agents, embeddings, datasources, documents, apps, uploads, org settings, and org miners tested against a second org and a personal account, in both directions, via the real API, the backend retrieval resolvers, and a live miner dispatch.

Version

1.0

For

TechnicalSecurityEnterprise

Published

August 8, 2026

Internal Study

Response Latency by Miner Pool

Internal study: measured chat latency of the community pool and the BYOK pool on identical workloads — standard and orchestrated requests, reporting both the immediate answer and full pipeline completion. All runs executed 2026-08-08 with verified answer content and healthy web retrieval.

Version

1.0

For

TechnicalBusiness

Published

August 8, 2026

Internal Study

Elis Token Saver on Claude - Right-Sizing Cuts Cost 83%

Internal study: replication of the Token Saver benchmark on a Claude Code host via the /api/mcp/claude mount - 28.9% fewer visible tokens and 83.4% lower cost at held quality (14/15 vs 15/15 rubric checks), ~18s planning latency, end-to-end ledger settlement, plus automation-planning findings, the verified settlement/decomposition fixes, and the three-arm quality-floor experiment the current evidence still requires.

Version

0.3-draft

For

TechnicalBusinessPartners

Published

August 13, 2026

Internal Study

Elis Token Saver - Cost, Tokens, and Quality Findings

Internal study: the first controlled Token Saver benchmark found that Elis cut estimated model cost 36.3% while increasing visible token volume 40.7%, which sharpens the product claim from saved tokens to model-cost optimization and defines the telemetry needed for defensible settlement.

Version

0.1-draft

For

TechnicalBusinessPartners

Published

August 13, 2026

Internal Study

Elis Token Saver - Cross-Host Cost, Accuracy, and Latency Evidence

Eight matched cases across ChatGPT- and Claude-family hosts compare estimated execution cost, visible tokens, deterministic accuracy checks, and orchestration latency, with historical OpenClaw and settlement failures separated from their post-study regression verification.

Version

0.2-draft

For

TechnicalBusinessInvestors

Published

August 13, 2026

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