Custom LLM Orchestration
Agnostic model integration — OpenAI, Anthropic, open-weight — routed dynamically based on cost, speed and reasoning requirements.
AI Architectures · 6 pages
Bespoke AI architectures.
We don't use off-the-shelf wrappers. We construct robust, scalable data moats and LLM orchestrations that keep your enterprise data secure and your capabilities differentiated.
At a glance
What this service line covers.
- 01 The scope
- LLM orchestration, retrieval systems, legacy modernisation and secure data pipelines — the structural core of enterprise AI.
- 02 Services
- 5 documented services, each scoped around a specific job.
- 03 Ownership
- Custom code delivered to your repositories, with no QQuantum runtime licence required.
- 04 How to start
- A technical call about the workload and its constraints, followed by a written scope.
The right start
Choose the job you need done.
Service focus
RAG Systems
Connect your proprietary databases, documents, and legacy systems to AI, allowing it to reason over your private enterprise knowledge with every answer traceable to a source document.
Legacy System Modernization
Seamlessly wrap legacy APIs and monolithic architectures in modern AI interfaces, so old systems can serve language-model workloads without a rewrite.
Secure Data Pipelines
On-premise or heavily encrypted cloud deployments, designed to support your compliance, privacy and data-sovereignty requirements.
Every service
Explore the full service line.
-
ARC.01
Software Reverse Engineering & Application Rebuilding
QQuantum.ai provides software reverse engineering and application rebuilding for businesses: legacy software replacement, web and desktop app analysis, mobile workflow reconstruction and API interoperability. Start with a reference URL, authorised application package or source access; receive a feasibility assessment, documented findings and an independently implemented system with agreed acceptance tests. A link does not expose private backend code or data; platform support and build scope are assessed first.
Open page -
ARC.02
Custom LLM Orchestration
Routing, tool use and multi-step reasoning across models, built for your workload rather than a vendor default.
Open page -
ARC.03
RAG Systems
Retrieval-augmented generation over your private corpus, with every answer traceable to a source passage.
Open page -
ARC.04
Legacy Modernization
Wrapping and extending systems that cannot be replaced, so AI reaches the data locked inside them.
Open page -
ARC.05
Secure Data Pipelines
Ingestion, permissions and audit for AI systems handling regulated or confidential data.
Open page
Questions
Questions about AI Architectures.
What makes a custom architecture better than an off-the-shelf AI tool?
Off-the-shelf tools are built for the average use case and share their capabilities with every competitor who buys them. A custom architecture is engineered around your data, your workflows and your constraints — it compounds into a defensible moat instead of a subscription line item.
Can you deploy on-premise for regulated industries?
Yes. We design architectures for full on-premise deployment or heavily encrypted private cloud, keeping data residency, compliance and sovereignty requirements intact — including for finance, healthcare and legal workloads. Certification and audit remain your responsibility: we hold no security certifications, and we build so your auditors can evidence the controls they test.
Which LLM providers do you integrate?
Any provider with an API. Our orchestration layers are model-agnostic: OpenAI, Anthropic, Google and self-hosted open-weight models are routed dynamically based on cost, latency and reasoning requirements, so you are never locked into a single vendor.
How long does an architecture engagement take?
A scoped proof-of-architecture typically ships in 2–4 weeks. Full production systems, including secure pipelines and legacy integration, usually land within one to three months depending on complexity.
Hire your first
AI employee.
Tell us the job you would hand over if you trusted a machine with it. In one 30-minute call we will tell you whether it should, what it would take — and if it should not, we will say so.
Pick the job — the form arrives ready for it
