Verifiable, predictable memory for autonomous AI agents.
Acembly is the Sovereign Context Gateway — an S3-compatible memory layer that sits between every autonomous AI agent and its storage, issuing a tamper-proof receipt for every retrieval, holding the bill flat regardless of agent throughput, and keeping the underlying data on infrastructure the customer actually controls.
Think of Acembly as Stripe for AI memory. One drop-in integration replaces three failing layers of the current AI stack — agent storage, vector recall billing, and compliance logging — with a single sovereign substrate that an enterprise auditor can actually trust.
Two crises are converging on agent deployment in 2026, and both reward the same solution.
The Read Unit Tax. Vector databases and hyperscalers bill enterprises not for what their agents store, but for what they think — every retrieval, every read, every act of recall. The result is a 32% waste tax silently compounding across the AI stack and 5–10× monthly bill spikes no CFO can underwrite. This is the reason most enterprise AI pilots quietly die between Q2 and Q3.
The Insurability Crisis. On August 2, 2026, the EU AI Act makes black-box agents a balance-sheet liability. Major carriers are already excluding AI from coverage. An autonomous system that cannot produce a tamper-proof record of what it remembered and why is no longer a technical risk — it is an uninsurable one.
Predictable cost. Provable memory. These are not features anymore. They are the floor.
Acembly ships as one drop-in stack built around four foundational shifts:
The vector DB + AI storage market is tracking to $10.6B–$17B by 2032. Operational context has replaced model intelligence as the binding constraint on agent deployment across finance, healthcare, and logistics. Acembly sits at the toll booth of that economy — not as a gatekeeper, but as the verifier and router every participant needs in order to trust the others.
Two tiers carry the round to $1M ARR on corporate software budgets enterprises already have allocated. A third opens the next wedge.
70%+ blended gross margin across the model. Tiers 1 and 2 are the entire path to $1M ARR.
Acembly is not slideware. The prototype is built and running today:
We are giving investors a working surface to inspect — not slideware.
We are infrastructure operators, not an AI-wrapper team. We have managed and migrated 68 petabytes of production storage and served 7,800+ businesses over the past 6 years, under real SLAs, for real customers, with real data on the line. We have made the mistakes you only make when you are responsible for someone else's bytes. We are not building Acembly as an experiment — we are building it because we have already built the layer beneath it.
$1.25M Pre-Seed · First Close on a SAFE. Seeking a high-conviction lead investor to anchor the round and accelerate the legal and regulatory work ahead of August 2. The deadline favors conviction over committee.
| % | Allocation | Amount | Use |
|---|---|---|---|
| 40% | Engineering | $500K | Rust gateway hardening · sub-12ms retrieval · sqlite-vec → LanceDB migration |
| 32% | Team & Runway | $400K | 12–15 month runway · founding team |
| 12% | Design Partners + GTM | $150K | 3 enterprise pilots discovered · ≥1 paid contract closed |
| 8% | Smart-Contract Pre-Audit | $100K | Unlocks first paid pilot · ZKML institutional audit deferred to Seed |
| 8% | Infra & Legal | $100K | Anchoring infrastructure · AWS · SAFE docs |
Milestones: Revenue-ready Day 33 — the exact day the EU AI Act goes live. Paid Tier 2 compliance logging launches the morning enforcement begins. Target $150K–$400K ARR in Year 1. Series Seed in 12 months: $5M–$8M at a $25M–$35M cap, raised against paid revenue.
The agents that win the next decade will be the ones whose memory is provable and whose bill is predictable. We are building the layer that makes that possible.