DeepGen orchestrates a matrix of open-weight models into one frontier-adjacent intelligence — self-hosted under EU law, documented in the open, and compliant by architecture.
The same orchestration engine described below, in a live workspace. Compose prompts, watch routing decisions resolve across the model matrix in real time, and inspect the audit trail — all inside the sealed EU-sovereign boundary.
Enter DeepGen Glass
The workspace for orchestrating open-weight models inside the EU-sovereign boundary. Opening to the public soon.
Preview DeepGen GlassPapers, experimental features, and frontier findings from the DeepGen research group — including Where Language Models Go Blind.
Read the researchTest DeepGen on your own use case, with local logging your compliance team can verify before anything scales.
Request a PoCRegulated Europe faces a forced choice between a capable-but-foreign closed API and a sovereign-but-limited single model. DeepGen fills the gap.
Most capable reasoners, but data crosses jurisdictions under foreign law. Pricing is set unilaterally and model access can be withdrawn without notice.
Solves data residency and compliance, but no single European open-weight model matches frontier-adjacent capabilities across complex multi-step reasoning tasks.
A sealed matrix of ~30 open-weight models coordinated dynamically. Delivers frontier-level intelligence under strict EU jurisdiction, compliant by construction.
Complex tasks are broken down into isolated, self-contained sub-queries while strictly preserving the user's semantic intent.
Sub-queries are analyzed and routed to the leanest, most specialized model in the matrix that satisfies the quality threshold.
Runtimes execute the workloads simultaneously inside our sealed EU-sovereign boundary with zero external relays.
Sub-responses are cryptographically verified, audited, and fused into a single, high-quality response.
No model inside the DeepGen matrix can initiate outward network requests. The sealed compute architecture removes the cross-border data transfer problem at the structural layer, rendering policy assurances obsolete.
Every transaction runs inside self-hosted nodes compliant with standard EU regulatory requirements. Direct physical custody of weights and keys belongs entirely to the host organization.
Purpose-bound local residency declared per API key. No external data caching.
Every routing branch and weights configuration frozen and archived at inference time.
Session keys and localized weights memory wiped immediately post-execution.
Orchestration telemetry maps directly to compliance reporting standards.
A curated portfolio of ~30 open-weight models, admitted on merit and orchestrated per request rather than per token. Extensible as open weights improve.
Optimized for structural data extraction, simple classification, embedding creation, and high-frequency, low-latency applications.
The core workhorse for applicative tasks. Delivers balanced reasoning, synthesis, multi-language translation, and complex task mapping.
Frontier cognitive compute reserved for the hardest inference challenges: auditing, strategic synthesis, and multi-variable logic.
Hosted inside an EU-sovereign public cloud. Fully managed, dynamically scaling node sets running exclusively inside European geographic borders under EU legal entity custody.
On-premise or private-cloud delivery. Packaged as a self-contained, air-gapped system. Compile scripts and weight configurations are deployed within your physical datacentres.
We build for enterprise architectures where contracts are not sufficient verification. Here are our foundational novelties paired with the mechanical constraints behind them.
DeepGen is built for public administrations, regulatory bodies, and enterprises in finance, healthcare, insurance, and legal sectors.
We align with technical and compliance stakeholders to ensure deployment is verified before production scale-out begins.
Identify regulatory boundaries and deploy DeepGen for specialized siloed workloads where foreign cloud storage is legally barred.
Run a localized proof of concept using the client's historical test data, with local logging systems verified directly by compliance teams.
Integrate DeepGen into core workflows and scale capabilities from the initial Vector routines up to complete Horizon-level operations.
Fill the gap between cloud capability and absolute legal security. Let's arrange a technical brief.
Request a proof of concept