Small Language
Models

Enterprise-Grade Intelligence Without Hyperscale Dependency

Large language models were designed for the internet. Enterprise intelligence operates under very different constraints. Genovation's SLMs are purpose-built to deliver explainable, sovereign, cost-efficient intelligence — without reliance on hyperscale infrastructure or external APIs.

Deployment Status

All Genovation intelligence products run on these SLMs, orchestrated by Mentis OS.

~3.5

GPT Level

Capability Match

10x

Cost Reduction

vs. Cloud LLMs

100%

On-Premise

Data Residency

0

External APIs

Zero Dependencies

SLM ARCHITECTUREEnterprise-Optimized Transformer PipelineINPUTTokenizetext → idsEMBEDDINGEncodeids → vectorsTRANSFORMERAttnQKVFFNW₁W₂×32 layersPROJECTLM Head→ vocabOUTMULTI-HEAD SELF-ATTENTION DETAILQQueryKKeyVValueSoftmaxConcat + W_oFEED-FORWARD NETWORKInputW₁ + GeLUW₂Add & Norm~7BParameters32Layers4096Hidden Dim32Attn Heads8KContext
The Problem

Why Large Models
Fail in the Enterprise

Large foundation models excel at general language tasks, but introduce structural risks when deployed in regulated environments.

HYPERSCALE LLM RISK PROFILE
175B+LLMParametersDATAEXPOSUREPROHIBITIVECOSTAPIFRAGILITYOPAQUEREASONINGGPUDEPENDENCY⚠ STRUCTURALLY INCOMPATIBLE

Uncontrolled Data Exposure

Enterprise data transmitted to external cloud providers during inference. No guarantees on data retention, access logging, or geographic boundaries.

GDPR RiskData SovereigntyCompliance Violation

Prohibitive Infrastructure Cost

Running 175B+ parameter models requires specialized GPU clusters. Token-based pricing creates unpredictable costs at enterprise scale.

$10-50/M tokensH100 Required

Opaque Reasoning Paths

Black-box inference with no visibility into decision making. Cannot explain or audit how conclusions were reached.

No Audit TrailRegulatory Risk

External API Dependency

Business-critical processes dependent on third-party uptime and rate limits. Single point of failure.

Vendor Lock-inDowntime Risk

For enterprises, intelligence must be deployable, governable, and defensible — not just powerful.

Efficiency

Performance
Without Excess

Genovation SLMs achieve near GPT-3.5-level capability for enterprise intelligence workloads — at a fraction of the cost and complexity.

PERFORMANCE & COST COMPARISON
HYPERSCALE LLM vs GENOVATION SLMHYPERSCALE LLM(GPT-4 / Claude / Gemini)175B+Parameters$15-60/1M tokens8x H100Required500ms+Latency10xMOREEFFICIENTGENOVATION SLMEnterprise-Optimized~7BParameters$0.50-2/1M tokens1x A10Sufficient50msLatencyCAPABILITY: GPT-3.5 level for enterprise tasks · COST: 10-30x lower · LATENCY: 10x faster · DEPLOYMENT: Fully sovereign

Commodity GPUs

Deploy on standard enterprise hardware — A10, RTX 4090, or even CPU

No H100 Required

Deterministic Latency

Predictable response times at scale. P99 latency under 100ms

50ms Average

Stable Costs

Fixed infrastructure cost regardless of volume

10-30x Cheaper

Multi-Agent Scale

Run dozens of concurrent agents for true orchestration

100+ Concurrent
Model Operations

Mentis
Model Management

Complete model lifecycle management — from training to deployment to inference. Manage, deploy, and monitor your ML models anywhere.

MENTIS MODEL MANAGEMENT
LIVE
Total Models
3
Active Models
1
Predictions Today
0
Avg Accuracy
94.2%
Search models...
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All models
Test_Model
model-97b923af
Active
TypeTRANSFORMERS
CategoryLANGUAGE
VisibilityPrivate
Lama
model-abaf85f7
Error
TypeTRANSFORMERS
CategoryLANGUAGE
VisibilityPrivate
LLAMA_3
model-08bb83fe
Error
TypeTRANSFORMERS
CategoryLANGUAGE
VisibilityPrivate

Fine-Tuning Studio

Upload datasets, configure training parameters, and fine-tune SLMs for your specific enterprise tasks.

LoRA & Full Fine-Tuning
Custom Dataset Upload
Training Job Monitoring

Inference API

OpenAI-compatible API endpoints for seamless integration with your existing applications.

OpenAI-Compatible
Streaming Responses
Batch Processing

Key Management

Secure API key generation with granular permissions, rate limits, and usage tracking.

Role-Based Access
Per-Key Rate Limits
Usage Analytics

Flexible Deployment

Deploy anywhere — on-premise, private cloud, or fully air-gapped environments.

On-Premise Support
Private Cloud / VPC
Air-Gapped Environments

Deployment Flexibility

On-Premise

Full control over infrastructure, networking, and security policies.

Bare MetalVMwareKubernetes

Private Cloud

Deploy in your VPC on AWS, Azure, or GCP. Managed scaling with data sovereignty.

AWS VPCAzure VNetGCP VPC

Air-Gapped

Fully isolated environments with no network connectivity. Perfect for classified workloads.

No InternetOffline UpdatesSCIF Ready
Integration

SLMs + Mentis OS =
Controlled Intelligence

SLMs do not operate in isolation. This combination enables enterprise-safe autonomy — without sacrificing control.

MENTIS OS + SLM INTEGRATION
GOVERNANCE AT EVERY STEPMENTIS OSTASK ARRIVESPolicy CheckMODEL SELECTRight model per taskEXECUTEPolicy enforcedSLM →MONITORReal-time controlEnterprise-safe autonomy · Full governance · Zero uncontrolled actions

Selects Model

Right model for each task

Enforces Policies

Rules during execution

Monitors Behavior

Real-time observation

Prevents Uncontrolled

No ungoverned actions

Why This Matters

Enterprises do not need bigger models.
They need better-behaved intelligence.

No Hyperscaler

Zero vendor lock-in

Controlled Cost

10-30x savings

Explainable

Full audit trails

Deploy Anywhere

Air-gapped ready

In the enterprise, intelligence must be

trusted before it can be powerful.

That is why we build small — by design.