AI intelligence stack for enterprises. Runs on your infrastructure with full audit trails. Every decision traceable. ISO-ready compliance built in, not bolted on.
Every customer runs on a dedicated VPS. Data never crosses boundaries — not even back to us. GDPR-compliant by architecture, not by promise.
Knowledge Engine with semantic search, confidence scoring, and temporal decay. Your AI remembers context, learns patterns, forgets noise.
Every interaction, every AI decision — captured in an immutable event store. ISO-ready compliance out of the box. Queryable, exportable, verifiable.
Nightly consolidation, knowledge decay, goal engine, self-improvement. The system gets better while you sleep.
Specialized AI agents per role — strategy, security, operations, business. Each with private memory and dedicated sessions.
WireGuard encrypted mesh. No public endpoints. Matrix for secure team communication. Zero attack surface.
Darkplex is built on top of OpenClaw, a powerful open-source AI agent framework. But a framework alone doesn't make an enterprise product. Here's what we add.
NATS JetStream as immutable source of truth. Every AI interaction, every decision, every data access — captured, timestamped, queryable. Not just logs — a complete forensic record for ISO audits and regulatory compliance.
Goes far beyond chat memory. Structured knowledge with confidence scores, semantic search via ChromaDB embeddings, and temporal decay — stale facts lose weight automatically. Your AI doesn't just remember, it knows what it knows.
Nightly pipelines consolidate knowledge, decay outdated facts, and refine goals. The system improves while you sleep — not by retraining models, but by curating its own knowledge base and learning from interaction patterns.
Anomaly detection, performance tracking, health scoring, alert aggregation — all running continuously. Not just "is it up?" but "is it behaving correctly?" 32 automated security and compliance checks on every deployment.
One-command Ansible deployment with 8 hardened roles. Security-first configuration, automatic updates, WireGuard VPN mesh — all pre-configured. You get a production-grade setup, not a weekend project.
Each customer on a dedicated VPS — not containers sharing a host, not namespaces on a cluster. Physical isolation. No shared databases, no shared memory, no cross-customer inference. Software updates flow in. Data never flows out.
Connect to leading AI models from OpenAI, Anthropic, Google, and others for maximum capability.
Run open-source models entirely on your own hardware. Zero data leaves your network.
Best of both worlds. Route sensitive tasks to local models, use cloud for complex reasoning. Per-task routing rules give you granular control over what stays on-premise.
Each deployment is a sovereign island. Customer data never flows to us, to other customers, or anywhere outside the perimeter. Software updates flow in. Data never flows out.
Full event store. Every AI decision traceable to its source. Confidence scores on every fact. Temporal decay on stale knowledge. You always know why.
Built in Germany. Hosted in Germany. GDPR-compliant by architecture. ISO-ready audit infrastructure from day one. Because compliance shouldn't be an afterthought.
A financial services company with ~1,100 customers deployed Darkplex as their internal AI intelligence layer. Multi-agent setup with specialized agents for business strategy, security monitoring, compliance, and operations.
| Darkplex | ChatGPT Enterprise | DIY (Self-hosted LLM) | Custom Build | |
|---|---|---|---|---|
| Data Isolation | ✓ PhysicalDedicated VPS per customer | ~ LogicalShared infra, contractual guarantees | ✓ PhysicalYou own the hardware | ✓ DependsWhatever you build |
| Immutable Audit Trail | ✓ NATS JetStreamEvery event, every decision | ✗ Not availableConversation logs only | ✗ Not includedYou'd have to build it | ~ If you build it6-12 months development |
| Multi-Agent System | ✓ Built-inRole-based agents with private memory | ~ GPTsShared context, no true isolation | ✗ Not includedSingle model endpoint | ~ If you build itComplex orchestration needed |
| Knowledge with Decay | ✓ Confidence + TemporalFacts expire, confidence scores, semantic search | ✗ NoStatic knowledge cutoff | ✗ NoRAG possible, no decay | ~ Research-gradeSignificant R&D investment |
| Autonomous Improvement | ✓ Nightly pipelinesIngest, consolidate, decay, goal setting | ✗ NoStatic between updates | ✗ NoManual fine-tuning only | ~ PossibleMajor engineering effort |
| LLM Quality | ✓ Any providerCloud (best) or local (private) — your choice | ✓ GPT-4 classTop-tier, but locked to OpenAI | ~ Open-sourceGood, not frontier-level | ✓ Any providerWhatever you integrate |
| Setup Time | <15 minutesAnsible automated, production-ready | <5 minutesSaaS — just sign up | Days to weeksHardware + software + tuning | 3-12 monthsFull development cycle |
| Ongoing Cost | VPS + LLM API~€50-200/mo infra + usage-based LLM | Per-seat licensing$60/user/month, scales linearly | Hardware onlyGPU upfront, electricity ongoing | Team salary€150k+/year for maintenance |
| ISO/Compliance Ready | ✓ Built-inAudit checks, event store, access control | ~ SOC 2Their compliance, not yours | ✗ Not includedBuild your own framework | ~ If you build itAdds months to timeline |
| Vendor Lock-in | ✓ ZeroOpen-source based, your data, your VPS | ✗ HighOpenAI ecosystem, their terms | ✓ ZeroFull control | ✓ ZeroYou own everything |
From zero to private AI intelligence in under 15 minutes.
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