# AIBYOS: AI by OmniSync | 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 (AI by OmniSync Technologies) 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 consultation](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 low-resource languages, regional accents and specialist vocabulary that general-purpose models handle poorly. _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. [Full process →](https://aibyos.com/how-we-work#process) 1. 01**Intro call**Free · 30 min 2. 02**Discovery**1–2 weeks 3. 03**Plan**Within a week 4. 04**Build & demo**Weekly or bi-weekly demos 5. 05**Test with users**1–2 weeks 6. 06**Deliver**Per engagement 7. 07**Handover**Final week #### 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.