Services · Solution
Custom Model Development
Purpose built AI models that match your data, your users, and your runtime. We help you collect the right data, train and evaluate safely, and ship models that perform in production.
Custom Model Development
Why teams choose us
Why teams choose our Custom Models
Real lift on your data not generic demos
Vendor neutral and VPC first from day one
Speed with rigor clear evals before go live
Built to run anywhere cloud edge or on prem
Custom Model Development
Discover
Goals risks data sources and success metrics
Blueprint
Task framing baseline plan and evaluation design
Build
Data curation training and rapid iteration
Prove
Evals red team shadow and A B tests
Launch
Deploy monitor and enable feedback loops
Custom Model Development
Vision
Detection segmentation classification keypoints OCR video and RTSP
Language
Search summarization extraction classification RAG and Q&A
Multimodal
VLMs for image to text grounding and tool use
Optimization
SFT LoRA distillation quantization and caching
Custom Model Development
Data and curation
Connect to your stores and labeling tools. Define golden sets and edge cases. Balance classes and reduce bias.
Prototyping
Quick baselines on your data to validate task framing and success metrics. Side by side comparisons to choose the path.
Image placeholder
Dataset dashboard with class balance and drift signals
Custom Model Development
Operate and Improve with Confidence
From monitoring metrics to resolving edge cases and rolling out new features, we give you the tools to keep your systems reliable, adaptable, and continuously improving
Live Dashboards
Live dashboards for throughput latency cost and outcome quality
One interface for hosted endpoints or your own containers
Human-in-the-Loop Review
Human in the loop review queues that feed future training
Custom Model Development
What we deliver
Model card with training recipe versions limits and risks
Evaluation pack metrics golden sets and comparison tables
Deployed endpoint or container with OpenAPI and Postman
Runbooks for deploy rollback and incident response
Cost and latency dashboard with alert thresholds
Custom Model Development
Engagement options
Advisory sprint
We guide your team through data strategy evals and launch
Build and handoff
We train evaluate and ship models with full documentation
Managed improvement
We operate the feedback loop and ship monthly releases
Custom Model Development
Questions
Do we need a huge dataset?
Not always. We often start with careful curation and fine tuning then expand with targeted collection and synthetic data where it helps.
Can you work with our labeling vendor?
Yes. We integrate with your tools and export clean schemas and splits.
Who owns the IP?
You do. Models weights code and data live in your accounts.
How do you ensure safety
Bring the messy version
One workflow.
A better way to run it.
Show us the tools, the handoffs, and the part that keeps slowing your team down.
---
title: "Custom Model Development"
description: "Purpose built AI models that match your data, your users, and your runtime. We help you collect the right data, train and evaluate safely, and ship models that perform in…"
url: https://lidvizion.ai/solution/custom-model-development-2/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
[Services](https://lidvizion.ai/services/) · Solution
# Custom Model Development
Purpose built AI models that match your data, your users, and your runtime. We help you collect the right data, train and evaluate safely, and ship models that perform in production.
[Let’s map your workflow](https://lidvizion.ai/contact/) · [All services](https://lidvizion.ai/services/)
Custom Model Development
## Why teams choose us
Why teams choose our Custom Models
Real lift on your data not generic demos
Vendor neutral and VPC first from day one
Speed with rigor clear evals before go live
Built to run anywhere cloud edge or on prem
Custom Model Development
## Discover
Goals risks data sources and success metrics
#### Blueprint
Task framing baseline plan and evaluation design
#### Build
Data curation training and rapid iteration
#### Prove
Evals red team shadow and A B tests
#### Launch
Deploy monitor and enable feedback loops
Custom Model Development
## Vision
Detection segmentation classification keypoints OCR video and RTSP
#### Language
Search summarization extraction classification RAG and Q&A
#### Multimodal
VLMs for image to text grounding and tool use
#### Optimization
SFT LoRA distillation quantization and caching
Custom Model Development
## Data and curation
Connect to your stores and labeling tools. Define golden sets and edge cases. Balance classes and reduce bias.
#### Prototyping
Quick baselines on your data to validate task framing and success metrics. Side by side comparisons to choose the path.
#### Image placeholder
Dataset dashboard with class balance and drift signals
Custom Model Development
## Operate and Improve with Confidence
From monitoring metrics to resolving edge cases and rolling out new features, we give you the tools to keep your systems reliable, adaptable, and continuously improving
#### Live Dashboards
Live dashboards for throughput latency cost and outcome quality
One interface for hosted endpoints or your own containers
#### Human-in-the-Loop Review
Human in the loop review queues that feed future training
Custom Model Development
## What we deliver
- Model card with training recipe versions limits and risks
- Evaluation pack metrics golden sets and comparison tables
- Deployed endpoint or container with OpenAPI and Postman
- Runbooks for deploy rollback and incident response
- Cost and latency dashboard with alert thresholds
Custom Model Development
## Engagement options
Advisory sprint
- We guide your team through data strategy evals and launch
Build and handoff
- We train evaluate and ship models with full documentation
Managed improvement
- We operate the feedback loop and ship monthly releases
Custom Model Development
## Questions
### Do we need a huge dataset?
Not always. We often start with careful curation and fine tuning then expand with targeted collection and synthetic data where it helps.
### Can you work with our labeling vendor?
Yes. We integrate with your tools and export clean schemas and splits.
### Who owns the IP?
You do. Models weights code and data live in your accounts.
### How do you ensure safety
Bring the messy version
## One workflow. A better way to run it.
Show us the tools, the handoffs, and the part that keeps slowing your team down.
[Let’s map your workflow](https://lidvizion.ai/contact/) · [Read our approach](https://lidvizion.ai/approach/)