Merit — Optimize. Save. Learn. The cost intelligence and optimization layer for enterprise AI.
Enterprise AI estates are growing faster than the teams managing them. More models, more agents, more applications, and costs that are increasingly hard to explain or control.
Most organisations are flying blind. They know AI is expensive. They don't know where the money is going, which AI use cases are worth it, or what to do about it.
Merit changes that.
How Merit works
Merit finds the best way to run every AI use case.
Merit sits across your AI estate: observing every call, evaluating cost against quality, and continuously identifying where you can optimise without compromising outcomes. Then it acts.
Turning optimisation opportunities into realised savings, without compromising outcomes.
Why Merit is different
Optimize the whole AI system
Not just model choice. Merit evaluates the combination of model, context, caching, prompting and agent behavior together.
Protect the outcome
Every change is evaluated against your quality, performance and latency requirements, not cost alone.
Deploy the fix
Merit doesn't stop at recommendations. It applies the optimised configuration directly in the workflow.
Learn continuously
Every result feeds the intelligence layer, making future optimisation faster and more precise.
The product
A closed-loop intelligence layer across your entire AI estate
Merit connects to your models, agents, and applications, then continuously observes, evaluates, optimises, and learns so your AI spend works harder with every cycle.
Enterprise control
Autonomy within your guardrails.
You define the boundaries: cost thresholds, quality floors, approved models and latency limits. Merit optimises freely within those constraints, with every change evaluated, traceable and measurable.
Who it's for
Built for mid-market and enterprise companies running AI in production, where the estate has gotten too complex to optimise manually.
BEST FIT
ACROSS INDUSTRIES
Let's talk about your AI estate.
Tell us how you're running AI today and where you want to improve. Interested in becoming an early design partner? Let us know below.
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