Model Management
Choose and optimise the best LLMs for every AI Agent
Model management on our platform gives you complete flexibility to select, evaluate, and improve any LLM or AI model for your AI Agents, all within enterprise governance that ensures safety, versioning, and compliance.
Freedom to use any model, safely and at scale
Your organisation should decide which AI models deliver the best results, not a vendor. Model management gives you the flexibility to choose, combine, and optimise the LLMs that best fit each AI Agent, from open-weight or commercial models to your own fine-tuned versions.
Compare performance, optimise accuracy, and manage costs within a governed environment that integrates seamlessly with enterprise controls.
No vendor lock-in. No uncontrolled updates. Only complete control over how your AI Agents think, perform, and evolve.
Key Features
Any model, any source
Connect and use models that fit your business. Combine open-weight, proprietary, or fine-tuned LLMs, all deployed safely within the platform.
Side-by-side evaluation
Test multiple models on the same task using consistent data and metrics. Choose the top performer for each AI Agent with evidence-based confidence.
Continuous improvement workflow
Optimise every model through an integrated improvement cycle. Use annotation feedback, fine-tuning, or distillation to enhance performance and efficiency over time.
Versioned lifecycle management
Track every version, from training data and parameters to deployment history. Roll back instantly if performance or compliance changes.
Smart routing and fallback
Automatically route tasks to the best-performing model or most cost-effective option, with fallback logic to maintain reliability if a model becomes unavailable.
Performance and cost insights
Monitor model accuracy, latency, and utilisation in real time. Balance quality and cost with transparent performance metrics and actionable dashboards.
Seamless deployment
Update or replace LLMs instantly without interrupting live AI Agent operations, user experiences, or active workflows. Changes are versioned and validated before going live.
Audit trail for model decisions
Every model invocation, prompt, and response is logged and traceable. Know exactly which model made which decision, and when it happened.
Continuous model improvement
Every model in your organisation follows a continuous improvement cycle powered by your data. You can fine-tune, test, and deploy updated versions directly into production.
All updates pass through enterprise controls for validation and approval, ensuring every improvement is safe, tested and traceable.
This creates a controlled, repeatable process for model optimisation across all business functions.
Enterprise-integrated governance
Model management is fully integrated with enterprise controls, ensuring every model operation follows enterprise-grade governance, including:
- Approval and validation workflows before deployment
- Full audit trails for every update and rollback
- Secure environments for fine-tuning and evaluation
- Compliance with your organisation’s privacy and data frameworks
Together, these systems provide flexibility for innovation and confidence for compliance.
Other platform capabilities
The freedom to choose any LLM or AI model, optimise it with your data, and improve it continuously
Combined with enterprise controls, it delivers both flexibility and governance so your AI Agents perform at their best, without risk or vendor lock-in.
Freedom, flexibility and governance in one place.
Select, optimise, and control every AI model with full transparency and compliance.
