v4.2 Production Ready

Zenth Model Engine Suite

Proprietary foundation models, domain-specific AI, and simulation engines built for enterprise scale, research breakthroughs, and sovereign deployment.

Browse Catalog → Documentation

Production-Grade Intelligence

Fine-tune, deploy, or integrate via REST/gRPC. All models include SOC2, HIPAA, and GDPR compliance layers.

Zenth-70B Core
Foundation Language Model
Production

General-purpose LLM optimized for complex reasoning, multilingual synthesis, and enterprise document processing.

Parameters70B
Context128K
Throughput14K tok/s
Latency~85ms
MoEMultilingualRLHF
Aevum MedCore v3
Healthcare & Life Sciences
Production

HIPAA-compliant clinical reasoning engine trained on 45M+ peer-reviewed papers, EHR datasets, and genomic sequences.

Parameters28B
Context64K
Accuracy98.2%
ComplianceHIPAA
ClinicalGenomicsDiagnostics
Zenth SimFlow
Digital Twin & Simulation
Beta

Physics-informed neural simulator for manufacturing, logistics, and infrastructure. Real-time twin generation with 99.4% fidelity.

Core TypePINN
Fidelity99.4%
Step Rate10K/s
IntegrationAPI/SDK
PhysicsLogisticsReal-time
Zenth Edge-1.5B
On-Device / Embedded
Production

Quantized, battery-optimized model for robotics, IoT gateways, and autonomous systems. Runs on standard NPUs.

Parameters1.5B
VRAM<800MB
Inference28ms
FormatsONNX/TFL
QuantizedIoTRobotics
Zenth Vision-34B
Multimodal Foundation
Production

Cross-modal reasoning engine for industrial inspection, satellite imagery analysis, and complex chart/data visualization.

Parameters34B
Resolution4K Native
ModalitiesImg/Vid/Txt
Latency~120ms
VisionMultimodalOCR
Aevum FinPredict
Finance & Quantitative
Production

Time-series forecasting and risk modeling engine. Trained on 40+ years of global market data, alternative datasets, and macro indicators.

Parameters12B
HorizonMulti-scale
Sharpe2.4x
ComplianceSOC2/II
QuantTime-SeriesRisk

Built for Scale & Sovereignty

From data ingestion to sovereign deployment, every layer is auditable, modular, and enterprise-hardened.

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Unified Ingestion

Multi-format pipelines handling structured, unstructured, and sensor data. Automatic schema mapping, deduplication, and privacy scrubbing.

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Adaptive Core

Sparse Mixture-of-Experts routing with dynamic context allocation. Zero-shot and few-shot fine-tuning via parameter-efficient adapters.

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Deployment Fabric

Auto-scaling inference clusters, on-premise air-gapped options, and edge-optimized quantization pipelines with SLA guarantees.

Performance Across Verticals

Independent evaluations on industry-standard datasets. Updated quarterly.

MMLU Pro
92%
HELM Clinical
88%
Quant Raster
95%
Sim Fidelity
99%
Edge Inference
28ms

Integrate Zenth Models Into Your Stack

Start with the sandbox, scale to production, or deploy sovereign instances on your infrastructure.

Launch Sandbox → API & SDK Docs Enterprise Sales