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

Build & Optimize Your Tech

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Vision

Detection segmentation classification keypoints OCR video and RTSP

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Multimodal

VLMs for image to text grounding and tool use

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Language

Search summarization extraction classification RAG and Q&A

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Optimization

SFT LoRA distillation quantization and caching

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[background image] image of a modern office space (for a ai healthcare company)

See What We’ve Built

Real-world AI, web apps, and 3D—crafted for startups, educators, and enterprise teams. Explore our latest projects below.

Data and curation

Connect to your stores and labeling tools. Define golden sets and edge cases. Balance classes and reduce bias.

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Prototyping

Quick baselines on your data to validate task framing and success metrics. Side by side comparisons to choose the path.

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Dataset dashboard with class balance and drift signals

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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

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Human-in-the-Loop Review

Human in the loop review queues that feed future training

[interface] screenshot of core features (for an ai developer tools)

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

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Deploy

One interface for hosted endpoints or your own containers

Cloud API or edge builds for devices and on prem

Feature flags and gradual rollout with automatic fallbacks

How it works

Discover

Goals risks data sources and success metrics

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Blueprint

Task framing baseline plan and evaluation design

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Build

Data curation training and rapid iteration

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Prove

Evals red team shadow and A B tests

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Launch

Deploy monitor and enable feedback loops

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Popular use cases

  • Safety and compliance detection in images and video
  • Search and summarization over private docs with RAG
  • Form understanding and OCR for operations
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Frequently Asked Questions

What powers our builds? Dive into the tools, frameworks, and AI magic behind every Lid Vizion project.

Do we need a huge dataset?
How do you ensure safety
Who owns the IP?

Tech we prefer

  • AWS for compute queues and events
  • MongoDB Atlas for data vectors and analytics
  • Auth0 for auth and roles
  • Terraform and GitHub Actions for repeatable ops

Train

Fine tune or train from scratch depending on data and constraints
Choose the best architecture for accuracy latency and cost
Reproducible runs with clear configs and seeds

Evaluate

  • Metrics that matter accuracy precision recall mAP BLEU ROUGE and task specific KPIs
  • Red teaming and safety checks on prompts content and outputs
  • A B testing and shadow mode before full rollout
Ready to move faster?

Modern AI, custom web apps, and rapid MVPs

Book a Discovery call