# AIBYOS | AI Engineering, Platforms & Sovereign GPU Compute > AI solutions that work in sync with every part of your business. Built around your strategy, data and operations, for measurable results. AIBYOS designs, builds and runs production AI: agents, MCP servers, RAG, data & AI platforms, landing zones, cloud AI migrations, sovereign GPU compute and applied ML, LLM and voice research. Source: https://aibyos.com/ AI engineering · Platforms · Sovereign compute · Research # AI solutions that work _in sync_ with every part of your business. Built around your strategy, data and operations, for measurable results. [Book a free 30-min call](https://aibyos.com/contact) [Explore services →](https://aibyos.com/services) [AI Agents](https://aibyos.com/services/agents)[Agent Infrastructure](https://aibyos.com/services/agent-infra)[MCP Servers](https://aibyos.com/services/mcp)[AI Gateways](https://aibyos.com/services/gateway)[RAG & Search](https://aibyos.com/services/rag)[LLM Apps & Copilots](https://aibyos.com/services/llm-apps)[Fine-tuning](https://aibyos.com/services/fine-tuning)[Image & Vision](https://aibyos.com/services/vision)[Voice AI](https://aibyos.com/services/voice)[Sovereign GPU](https://aibyos.com/gpu)[AI Research](https://aibyos.com/research)[Evals & Guardrails](https://aibyos.com/services/evals)[MLOps / LLMOps](https://aibyos.com/services/llmops)[Data for AI](https://aibyos.com/services/data)[Data & AI Platforms](https://aibyos.com/services/platforms)[AI Landing Zones](https://aibyos.com/services/landing-zones)[Cloud AI Migrations](https://aibyos.com/services/migrations)[Accelerators](https://aibyos.com/services/accelerators)[EU AI Act & Governance](https://aibyos.com/services/governance) What we do ## Four practices, one senior team. Most AI projects need more than one of these. We cover the full path, so nothing gets lost between strategy, platform, infrastructure and models. [01 ### AI Engineering Agents, MCP servers, RAG, copilots, voice and vision, built with evaluation and security from day one. - Agents & agent infrastructure - MCP servers & AI gateways - Fine-tuning & evals Services →](https://aibyos.com/services) [02 ### Platforms & Cloud The heavy lifting: data & AI platforms, landing zones, accelerators and migrations between cloud AI providers. - Databricks, Snowflake, Fabric, BigQuery - Azure, AWS & GCP landing zones - Azure OpenAI ⇄ Bedrock ⇄ Vertex AI Platforms & Cloud →](https://aibyos.com/platforms) [03 ### Sovereign GPU Compute Dedicated, in-region GPU capacity to host, fine-tune and train your own models when public AI clouds are not an option. - Single-tenant, in your chosen region - Private hosting of open models - Training & fine-tuning bursts GPU Compute →](https://aibyos.com/gpu) [04 ### Applied AI Research Custom ML, LLM and speech models that beat general-purpose LLMs on your task, in cost, speed and privacy. - Distillation & small language models - Speech recognition & custom voices - Inference optimisation Research →](https://aibyos.com/research) Services ## Everything between the idea and the SLA. Pick one focused engagement or combine them. Click any service to see what it covers. ◇ ### AI Strategy & Use-Case Discovery Find the use cases with real ROI, estimate cost and risk, and build a roadmap leadership can sign off on. - Opportunity mapping - Build vs. buy analysis - Business case & roadmap See use cases → △ ### AI Solution Architecture Reference architectures for LLM apps, agents and ML platforms that fit your cloud, data and security constraints. - Target architecture & ADRs - Model & vendor selection - Architecture reviews See use cases → ○ ### LLM, RAG & Agent Engineering Hands-on delivery of copilots, assistants, document intelligence and agentic workflows, with evaluation built in. - Retrieval & knowledge pipelines - Tool-using agents - Eval harnesses & guardrails See use cases → □ ### MLOps & LLMOps Platforms The plumbing that makes AI boring in the best way: deployment, monitoring, cost control and fast iteration. - CI/CD for models & prompts - Observability & tracing - Inference cost optimisation See use cases → ◎ ### AI Governance & Security Ship responsibly. Practical controls for privacy, safety and compliance, including EU AI Act readiness. - Risk classification - Prompt-injection & data-leak testing - Policies & model documentation See use cases → ☰ ### Senior AI Engineers on Demand Add experienced AI engineers and architects to your team, full-time or part-time, remote or hybrid, B2B-friendly. - AI / ML engineers - Data & platform engineers - Fractional AI architect See use cases → From the research lab ## Smaller, faster, cheaper. _On purpose_. [All research →](https://aibyos.com/research) [LLM up to 1000× lower cost per prediction Distilling an LLM into a task model 1000× cheaper Replace a large-LLM API call on a high-volume task (classification, routing, tagging) with a small model trained on the LLM’s own judgements. _100×+ faster: milliseconds, not seconds__CPU runs without GPUs_ Read the approach →](https://aibyos.com/research/distill) [Voice & speech 30–50% relative drop in word error rate Speech recognition for a low-resource language Fine-tune a Whisper-class model for a language, accent or domain that general models handle poorly, e.g. Azerbaijani, Polish dialects or medical dictation. _real-time streaming on one GPU__in-region audio never leaves your jurisdiction_ Read the approach →](https://aibyos.com/research/asr) [Inference 2–5× more throughput per GPU Inference optimisation for self-hosted LLMs Serve more users on the same GPUs through quantisation, batching and speculative decoding, without measurable quality loss on your evals. _50–75% lower serving cost__same quality on your eval set_ Read the approach →](https://aibyos.com/research/inference) Figures show typical orders of magnitude for each approach compared with calling a large general-purpose LLM. We benchmark on your data before committing to results. How we work ## Start small. Prove value. Scale. [Engagement models →](https://aibyos.com/how-we-work) #### Vendor-neutral No reseller deals. We recommend what fits: open models, hosted APIs, or no AI at all. #### Senior by default The people you meet in the first call are the people doing the work. #### You own everything Code, prompts, models, evals and docs live in your repositories from day one. Starting point ## Find your starting point in 3 clicks. Not sure which engagement fits? Answer three short questions and we'll suggest where to begin.