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From API to GPU

AI development that goes deeper than a wrapper

Most agencies call an API and call it AI. We build at every layer - from integrating LLMs into your product, to custom computer vision, to writing CUDA kernels for GPU-accelerated workloads.

Discuss an AI projectSee Careit AI in action

How deep do you need to go?

Most AI projects only need the top layer. But when they don't, we can go all the way down.

Layer 1

Application Layer

Add AI features to your existing product. Chat, search, recommendations, content generation, classification.

LLM APIs, prompt engineering, output parsing, cost optimization
Layer 2

Integration Layer

Connect AI to your data. Build RAG systems, document processing pipelines, and AI agents that use your tools.

RAG, vector databases, embeddings, tool use, agent workflows
Layer 3

Model Layer

Fine-tune and customize models for your domain. When general-purpose APIs aren't specific enough.

Fine-tuning, transfer learning, custom training pipelines, evaluation
Layer 4

Kernel Layer

GPU-level optimization. Custom CUDA code, inference optimization, and hardware-aware model architecture.

CUDA kernels, GPU memory optimization, custom operators, inference acceleration

What we build

Add AI to your existing product

Your app already works. Now make it smarter. We add LLM-powered search, content generation, classification, or recommendations to products that are already in production.

Computer vision & image analysis

Recognize objects, extract data from photos, classify images, or estimate measurements. We built this for Careit - food item recognition, automatic descriptions, and weight estimation from photos.

Internal AI tools

Build tools that help your team work faster. Document Q&A, automated report generation, data extraction from unstructured sources, or AI-assisted decision support.

Custom model work

When off-the-shelf APIs aren't enough, we go deeper. Fine-tuning for your domain, custom training pipelines, and GPU-optimized inference with CUDA.

AI in production

Careit: computer vision for food rescue

Careit connects businesses with local nonprofits to rescue surplus food. When a restaurant or grocery store has food to donate, speed matters. The AI features we built make the process fast enough to actually work:

Photo recognition identifies food items automatically from a single photo

AI generates descriptions so donors don't have to type anything

Weight estimation from images helps nonprofits plan pickups and storage

View Careit case study
ANALYZING
Item: Bread rolls
Est. weight: 2.4 kg
Built with
Anthropic Claude
Google Gemini
xAI Grok
OpenRouter

Is this for you?

Good fit

You have a working product and want to add AI features

You're processing images, documents, or unstructured data manually

Your team is doing repetitive knowledge work that AI could handle

You need AI that integrates with your existing systems and data

You want to modernize operations with practical AI tools

Not what we do

Training a foundation model from scratch

Building a product where the AI IS the entire business (we build features, not AI startups)

Problems that don't actually need AI - we'll tell you if a database query solves it

Ready to add AI to your product?

Tell us what you're trying to solve. We'll tell you what's possible, what it costs, and whether AI is even the right approach.

Get in touch
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