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
Large foundation models excel at general language tasks, but introduce structural risks when deployed in regulated environments.
Enterprise data transmitted to external cloud providers during inference. No guarantees on data retention, access logging, or geographic boundaries.
Running 175B+ parameter models requires specialized GPU clusters. Token-based pricing creates unpredictable costs at enterprise scale.
Black-box inference with no visibility into decision making. Cannot explain or audit how conclusions were reached.
Business-critical processes dependent on third-party uptime and rate limits. Single point of failure.
For enterprises, intelligence must be deployable, governable, and defensible — not just powerful.
Genovation SLMs achieve near GPT-3.5-level capability for enterprise intelligence workloads — at a fraction of the cost and complexity.
Deploy on standard enterprise hardware — A10, RTX 4090, or even CPU
Predictable response times at scale. P99 latency under 100ms
Fixed infrastructure cost regardless of volume
Run dozens of concurrent agents for true orchestration
Complete model lifecycle management — from training to deployment to inference. Manage, deploy, and monitor your ML models anywhere.
Upload datasets, configure training parameters, and fine-tune SLMs for your specific enterprise tasks.
OpenAI-compatible API endpoints for seamless integration with your existing applications.
Secure API key generation with granular permissions, rate limits, and usage tracking.
Deploy anywhere — on-premise, private cloud, or fully air-gapped environments.
Full control over infrastructure, networking, and security policies.
Deploy in your VPC on AWS, Azure, or GCP. Managed scaling with data sovereignty.
Fully isolated environments with no network connectivity. Perfect for classified workloads.
SLMs do not operate in isolation. This combination enables enterprise-safe autonomy — without sacrificing control.
Selects Model
Right model for each task
Enforces Policies
Rules during execution
Monitors Behavior
Real-time observation
Prevents Uncontrolled
No ungoverned actions
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
That is why we build small — by design.