Independent Evaluation of the Models actually worth using
Objective, evidence-led assessment of frontier AI models — from the mainstream defaults to fast-moving entrants — so you choose on capability, cost and risk fit, not brand recognition.
What we do
New frontier models arrive faster than most organisations can properly evaluate them. We track and independently assess the leading models – including OpenAI, Anthropic and Google’s flagship releases, alongside fast-moving entrants such as Grok, Mistral, Llama and DeepSeek – so you’re choosing based on genuine capability and risk fit, not marketing claims.
Our focus is on practical deployment decisions rather than chasing every new release for its own sake – which model actually suits your use case, your data sensitivity and your governance requirements, today.
Practice features
- Independent, vendor-neutral frontier model evaluation and benchmarking
- Capability, cost and risk comparison against your specific use case
- Data sensitivity and residency assessment for each model provider
- Migration and multi-model strategy, avoiding single-vendor lock-in
- Ongoing model-landscape monitoring as new releases arrive
Outcomes
- Model choices matched to real business need, not hype
- Reduced risk from unmanaged frontier model experimentation
- A defensible, evidenced rationale for every model decision
Mapping to common services:
In our Frontier AI Models Practice, we combine our services to provide a tailored response to meet your specific needs. In this example, we would consider the following services:
Tailored Service Example: Frontier model choice = capability benchmarking + risk classification + governance sign-off
- AI Governance & Ethics
- AI Security & Cyber
- AI Strategy & Use Cases
- Discovery-as-a-Service
- Coaching & AI Training
Talk to us about your frontier model strategy…
Independent, vendor-neutral advice on frontier model selection, matched to your use case, budget and risk appetite.
Free downloads:
- UK Five AI Principles – Key Takeaways
- EU AI Act – Key Takeaways
- Sample AI & Agentic Automation Corporate Usage Policy
- AI Use & Data Boundaries Checklist
Next Steps
- AI Readiness Assessment – Understand where you’re at
- Discovery & Planning – Preparing your business for change
- Design – Example components of a full AI Architecture stack
- Implementation & Adoption – Managing Vision to Execution
Our Practices
Agentic Platforms Supported:
