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AI Development

Custom AI backends built for production. We develop practical AI solutions using the latest commercial and open-weight models, tailored to your specific business needs.

What We Build

RAG Systems

Semantic search over your knowledge base — product catalogs, internal docs, policies. Customers find what they need by intent, not keywords. Vector embeddings + similarity search with real-time catalog sync.

Multi-LLM Orchestration

Automatic routing between models to balance cost, speed, and accuracy. Simple queries go to efficient models; complex reasoning tasks route to premium frontier models.

Private Cloud Deployment

Self-hosted open-weight LLMs on your own infrastructure. 100% data isolation — nothing leaves your environment. GDPR/CCPA compliant by design. Deploy on AWS, GCP, Azure, or your own servers.

Vision & Image Matching

Upload a photo — get matching products from your catalog. Vision API + vector similarity search for visual discovery and product recommendations.

AI Concierge / Chat Agents

Conversational assistants that know your products inside-out — materials, sizing, symbolism, care guides. Available 24/7, speaking your brand voice in 120+ languages.

Multi-Agent Verdict Engine

Multiple AI models process the same query in parallel; a judge agent cross-verifies and synthesizes the best response. Near-zero hallucinations for critical business answers.

Model-Agnostic Architecture

We build backends so you’re never locked into a single vendor. Today you use one model; tomorrow you switch to a better or cheaper one — with zero code changes on your side.

We integrate and orchestrate 25+ models across all major providers. Here are the key ones:

Commercial / Frontier

OpenAI — GPT-5.x, GPT-4o, o1/o3

Anthropic — Claude Opus 4.6, Sonnet 4.6, Haiku 4.5

Google — Gemini 3.1 Pro, Gemini Flash

xAI — Grok 4

Open-Weight / Self-Hosted

Meta — LLaMA 4 Maverick

DeepSeek — DeepSeek R1, V3

Mistral — Mistral Large, Mixtral

Alibaba — Qwen 2.5

Vision & Image Generation

DALL·E 3, Midjourney, Flux

Stable Diffusion, Ideogram

CLIP-based visual matching

Video & Audio

Runway, Luma, Pika, Hailuo Minimax

Whisper, ElevenLabs

Our LLM Routing Layer automatically determines query complexity and routes requests accordingly:

Simple queries (FAQ, search)

Routed to efficient open-weight models — LLaMA, Mistral, Qwen. Cost: fractions of a cent per request.

Complex tasks (personalization, upsell)

Routed to frontier models — GPT-5.x, Claude Opus, Gemini Pro. Quality justified by business impact.

Result: at 10,000 requests/day, the full AI stack costs $200–400/month instead of $3,000–8,000/month with 100% commercial API usage.

And if a provider raises prices or a better model launches — we switch without changing a single line of your integration code.

Have an AI challenge?

Let’s discuss how AI can add real value to your business. Free initial consultation.