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Generative AI

LLM systems that survive contact with real users

From retrieval-augmented assistants to fine-tuned domain models, we engineer the whole stack: data pipelines, retrieval, orchestration, evaluation, guardrails and observability. Every system ships with the evaluation, guardrails and observability that make it safe to run.

<2sp95 answer latency target, retrieval included
90%Cheaper cached input tokens with prompt caching, per provider pricing
100%Of answers cited and scored on a golden set before launch
How we work

AI doesn't fail at ideas. It fails at execution.

Every engagement follows a path from concept to scale with success defined up front, weekly releases and no surprises.

011–2 weeks

Discover

A 60-minute call and a deep-dive sprint that end in a scored opportunity map and a baseline.

021 week

Design

Architecture and stack chosen with a decision matrix and a model bake-off on your data.

034–8 weeks

Build

Weekly releases into your environment with evals, guardrails and traces from sprint one.

042–6 weeks

Scale

Hardening, staged rollout, cost controls and handover so your team runs it.

What every engagement is designed to

<2sp95 answer latency target, retrieval included
90%Cheaper cached input tokens with prompt caching, per provider pricing
100%Of answers cited and scored on a golden set before launch
Architecture

Architectures we reach for in Generative AI & LLM Engineering

Reference patterns we adapt to your constraints. Each links to the full flow, components and trade-offs.

All architectures
Retrieval

Hybrid RAG with reranking and citations

Keyword plus vector search, fused and reranked, answered with sources.

across every level

Hover or tap any part to see what it does. The light shows the order a request moves through.

pgvector / Qdrant / PineconeElasticsearch / OpenSearchCohere RerankOpenAI / Voyage embeddingsRAGAS
Full architecture
Tech stack

Building on proven, scalable foundations

The strength of any AI system lies in the technology behind it. We choose per workload, benchmark on your data, and build so you can switch.

  • OpenAI GPTGPT-4o family
  • Anthropic Claude
  • Google Gemini
  • Meta Llama
  • Mistral
  • DeepSeek
  • Hugging Face
  • Ollama
  • Groq
  • NVIDIA
FAQ

Get the clarity you deserve

Straight answers to the questions we hear most. Ask us anything else on a call.

OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, Mistral, DeepSeek and other open-weight models. We pick per task based on measured quality, cost and latency on your data, and we build so you can switch later.

Let's build intelligent systems that drive growth

Tachyon is the engineering partner for teams that need AI in production, not in a deck. Start with a free 60-minute discovery call.

Contact

Talk to experts about your product idea

Every great partnership begins with a conversation. Whether you are exploring possibilities or ready to scale, tell us what you are actually trying to build.

Prefer to talk?

Pick a 60-minute slot. No pitch, just an engineer with honest answers.

Book a call

NDA available on request. We reply within one business day.