The Infrastructure Gap
As GenAI moves to production, SaaS models show cracks
SaaS Model
- ✗Variable costs scale linearly with traffic
- ✗Latency degrades at peak cloud usage hours
- ✗Rate limits throttle concurrent users
- ✗LLMs lack domain-specific precision
Numid Hosted
- ✓Fixed monthly infrastructure cost
- ✓Guaranteed latency and throughput
- ✓No rate limits — full concurrency
- ✓Fine-tune on your proprietary data
How Numid Works
One engagement. Three layers. Everything you need to run AI in production.
The expertise gap between pilot and production is where we work.
Deploy
Pre-built, domain-specific LLMs shipped as Docker images, ready to run in your VPC on day one..
Customize
We fine-tune on your proprietary data using PEFT, integrate with your data sources, and connect to your existing dashboards.
Operate
Ongoing MLOps support: model monitoring, retraining triggers, alerting, and infrastructure maintenance — on a fixed monthly subscription.
What You End Up With
Your AI. Your cloud. Fully operational.
What a Numid deployment looks like in production.
A model that knows your domain
Fine-tuned on your internal documentation, manuals, contracts, or sensor data — not a generic foundation model.
Infrastructure that belongs to you
Runs inside your existing cloud commitment or on-premise cluster. We deploy it. You own it.
Performance you can plan around
Dedicated hardware, no shared capacity, no surprise bills. Latency and throughput are contractual.
An AI team without the headcount
MLOps expertise on call without building an internal platform team.
Use Cases
Built for high-stakes workflows
Legal
Contract review, case research, and compliance checks — on your data, inside your VPC.
Medical
Clinical notes, diagnostic support, and HIPAA-compliant inference with zero data exposure.
R&D
IP-sensitive research, fine-tuned domain models, and private knowledge extraction at scale.
How It Works
From pilot to production in 4 milestones
Step 1
Proof of Concept
Model selection & baseline benchmarking
Step 2
Model Training
Data compliance & training platform deployment
Step 3
Pilot Deployment
Inference optimisation & high-volume testing
Step 4+
Full Scale-out
Auto-scaling production serving
From the Numid Team
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