Project overview
Actiquest Labs builds the Membria Suite: human-centered AI systems, LLM hyper-personalization, and a decentralized memory graph. Membria CE separates client-side decision capture from backend knowledge infrastructure:- Client layer: Decision Surface + DBB (captures decision records locally).
- Backend layer: KCG + DoD + Peaq + Arweave (council escalation, graph logic, immutable storage).
Canonical links
Traction snapshot
| Offering | Phase | Users (off-chain) | Model | Revenue |
|---|---|---|---|---|
| Membria EE (KMS + Decision Surface) | Private beta | 80 pilot seats (on-prem) | B2B custom pilots | $200K ARR (mostly CIS banks) |
| Membria SaaS for SMBs (KMS + Decision Surface) | Launch Q2 2026 | 200 audit-firm signups | B2B2C SaaS ($25-50) | $50K committed, recognized post-launch |
| Membria CE (research tools + decentralized backend) | Launch Q1 2026 | — | B2C tokens/pay-per-use | Planned |
Off-chain Membria user evidence
| Segment | Platform | Scale | Why it matters |
|---|---|---|---|
| Local LLM developers | Hugging Face | 1.2M+ | Core Membria CE audience (model uploads, LoRA, Spaces) |
| Open-source adoption | LLaMA ecosystem | 1B+ downloads | Indicates demand for local inference |
| Organizations | Hugging Face | 10K+ orgs | Enterprise and research usage, future enterprise anchors |
| Contributors | GitHub (LLMs) | 100K+ | Knowledge creators for Membria protocols |
| AI power users | Reddit / Discord | 100K–300K | Early adopters tuning local models |
| AI × Crypto overlap | Hugging Face + Web3 | Growing | Users aligned with tokenized incentives |