Large Language Models
Reasoning, drafting, analysis and structured language tasks.
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Technology & AI Capabilities
GoRigo AI works across AI models, machine learning, automation, custom software development, cloud, GPU infrastructure and data-centre technologies.
We are not tied to one vendor, model or technology stack. We select technology according to the business problem, existing systems, performance requirements, security, cost and long-term practicality.
Broad technology capability, without being tied to one stack.
AI CAPABILITY
Practical use of modern AI models and APIs inside real business systems and workflows.
Reasoning, drafting, analysis and structured language tasks.
Work with text, documents, images, audio and other inputs where appropriate.
Connect models to relevant business knowledge and information.
Identify, organise and structure useful information from business content.
PRIVATE & OPEN AI
Run suitable AI models in environments where you need greater control over infrastructure, deployment and how the system operates.
Select suitable open-weight models according to workload, capability and infrastructure requirements.
Deploy models in self-hosted or controlled environments where appropriate.
Assess compute, VRAM, performance and serving requirements before deployment.
Operate, scale, monitor and optimise model inference for practical use.
An API or managed service may sometimes be simpler and more economical.
MODEL DEVELOPMENT
Use an existing model where possible, adapt one when justified, or build specialised machine-learning capability when the requirement genuinely needs it.
Adapt suitable existing models for specialised tasks or domains.
Clean, structure and prepare data for training, fine-tuning and evaluation.
Develop, benchmark and compare machine-learning models appropriately.
Deploy, monitor, version and maintain models after development.
WORKFLOW TECHNOLOGY
Connect systems, move information and automate repeatable work using the level of workflow technology the process actually requires.
Business automation, integrations, APIs and AI-assisted workflows.
Workflow design · API integration · Connectors · Self-hosting
Durable, complex and long-running workflows where reliability and state matter.
Architecture · Development · Integration · Orchestration
Connect applications and services through reliable programmatic interfaces.
Build tailored workflow logic when an off-the-shelf automation platform is not the right solution.
CUSTOM DEVELOPMENT
Build or modernise software around the business requirement without forcing every project into the same programming stack.
Build practical applications, internal tools and AI-enabled business systems.
Create application logic, services, APIs and database-backed systems.
Connect existing software, services and business data.
Modify, modernise, test and move suitable systems into production.
AI INFRASTRUCTURE
Plan and deploy the compute infrastructure needed to operate modern applications and AI workloads effectively.
Plan application and AI infrastructure across suitable cloud platforms.
Assess GPU type, count, VRAM and model-to-GPU fit.
Consider throughput, latency, utilisation and scaling requirements.
Estimate the infrastructure, storage and architecture needed before unnecessary compute is purchased.
GPU PLANNING
Running or training AI models can require substantial compute. We assess what the workload actually requires before infrastructure decisions are made.
DEPLOYMENT INFRASTRUCTURE
AI workloads can depend as much on the infrastructure underneath them as the application itself.
Plan infrastructure used to run AI and GPU workloads.
Combine suitable private, self-hosted and cloud environments.
Consider the supporting architecture needed to move and serve data reliably.
Plan compute, serving and capacity around the workload.
The objective is appropriate infrastructure for the workload — not simply more computing power.
SELECTED TECHNOLOGIES
A restrained view of named platforms we can work with where they fit the requirement.
Business automation and integration
Durable workflow orchestration
Cloud applications, data and AI workloads
Cloud compute, storage and AI infrastructure
Cloud compute, data and AI infrastructure
Compute-intensive AI workloads
Technologies shown represent areas we can work with. They do not indicate a commercial relationship, certification or a requirement that every project use them.
A project does not automatically need AI, a custom application, a GPU server or a complicated automation platform.
We start with the business objective and determine the technology afterwards.
Technology should solve the business problem — not create another one.
You don't need to know which model, cloud platform, programming language or automation tool you need.
Start with the problem. We'll help you work out the technology.
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