Publications at CVPR, ECCV & ICCV

On-Device AI Solutions
Customized for Your Infrastructure

Build custom AI that runs entirely on your servers, edge devices, or mobile apps — keeping data private, costs fixed, and performance optimized.

What are you looking for?

What Sets Us Apart

How It Works

From discovery to production in weeks

1
Week 1

Discovery

We dive deep into your use case, data requirements, and privacy constraints. Together, we define success metrics and deployment parameters.

2
Weeks 2–3

Build & Train

Our scientists develop custom models using your data, augmented with our virtual dataset technology when needed. Full visibility throughout development.

3
Week 4

Deploy & Scale

We deploy on your infrastructure, mobile devices, or edge hardware — wherever you need it. Models are optimized for performance and cost-efficiency from day one.

4
Ongoing

Continuous Integration

As your needs evolve, so does your AI. We provide ongoing updates, performance monitoring, and rapid iterations without disrupting your operations.

Frequently Asked Questions

Everything you need to know

Generic LLMs send your data to third-party servers and charge per-request costs that multiply as you scale. Our custom models run entirely on your infrastructure or devices, keeping data private while offering predictable, fixed pricing. Plus, we tailor the model to your specific use case for better accuracy.

Our virtual dataset technology generates synthetic training data that expands your existing dataset. This means you can build powerful models even with limited real-world data — common in specialized industries like medical imaging or niche manufacturing.

Most projects go from discovery to production deployment in a few weeks. Because we're building custom solutions — not configuring templates — we can move quickly while ensuring quality.

Absolutely. We build both internal tools (document processing, workflow automation) and customer-facing apps (recommendation engines, image analysis, chatbots). On-device models even enable offline functionality.

Yes. Models run on your infrastructure or on-device. We can work within your security protocols and comply with HIPAA, GDPR, or industry-specific regulations. GDPR compliance is built into our architecture.

Unlike API-based solutions where costs scale with usage, we typically charge fixed development fees plus optional maintenance contracts. You pay for the solution — not per prediction — making budgeting predictable as you grow.

Let's talk about your project

Tell us about your use case and we'll get back to you within 24 hours.

Publications at CVPR, ECCV & ICCV HIPAA & GDPR Compliant