Model deep model knowledge.

Hands-on engineering experience across the foundation model landscape — frontier APIs, open-weight models, fine-tuned variants, and specialty models for vision, speech, and code. We pick the right one for each problem.

Overview

What it means in practice.

Foundation models differ in ways that matter operationally — context length, latency, cost, fine-tuning support, function-calling reliability, and multilingual depth. Picking by reputation alone leaves performance and budget on the table. We benchmark on your data before recommending a model, and we stay current as new releases shift the landscape.

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What we deliver

Capabilities & deliverables.

Every engagement gets shaped to fit, but these are the building blocks we rely on.

01

Frontier API Models

GPT-4, Claude Sonnet/Opus, Gemini — engineered into production with proper rate-limit handling, fallback chains, and cost controls.

02

Open-Weight Models

Llama 3, Mistral, Qwen, Gemma — self-hosted via vLLM or Ollama for cost, privacy, or latency reasons. Fine-tuning included.

03

Vision & Multimodal

GPT-4 Vision, Claude Vision, LLaVA, and specialized vision-language models. Image understanding built into product workflows.

04

Speech & Audio

Whisper for transcription, ElevenLabs and Cartesia for synthesis, and custom voice models for speech-driven products.

05

Code Models

Code Llama, DeepSeek Coder, and frontier models for code generation, review, and developer-tool features.

06

Embeddings & Search

OpenAI, Cohere, and open-weight embedding models — picked and benchmarked for your retrieval use case rather than chosen by default.

GPT-4 Claude 4 Llama 3 Mistral Whisper Stable Diffusion Cohere DeepSeek
Why it works

The SD Technolabs approach.

Two decades of engineering practice, sharpened by the realities of production AI.

01

Benchmarked on your data

Public benchmarks don't predict performance on your specific problem. We test multiple models against your actual data before recommending.

02

API and self-hosted experience

We've shipped both. We'll tell you honestly when API costs justify self-hosting and when they don't.

03

Current with the field

AI moves quickly. We track new model releases, benchmark them, and surface the ones that change recommendations.

04

Migration plans built-in

Architectures designed so model swaps are afternoons, not quarters. Lock-in to one provider is a risk we engineer against.

Ready to start something good?

Let's discuss how this fits your business. We reply within one working day.

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