Bring financial discipline to innovation that lasts
The massive cost of GenAI and LLMs should not come at the expense of profit. We implement specialized governance to ensure your AI initiatives are capital-efficient, scalable, and deliver maximum measurable commercial impact. We bring financial discipline to innovation that lasts.
AI Profitability Audit & Roadmap (6-week focused engagement)
AI/GPU Cost Governance with clear unit economics
AgentOps Integration for autonomous AI management
Cost-to-train and cost-to-serve tracking
Continuous Managed FinOps for AI (CMF-AI) for sustained profitability
AI costs can destroy profitability without proper governance
Ensure massive GenAI and LLM investments are capital-efficient and don't come at the expense of profit.
Track cost-to-train and cost-to-serve with clear unit economics for all AI/ML models.
Govern cost, performance, and risk of autonomous AI agents built on LLMs.
Make AI initiatives scalable and deliver maximum measurable commercial impact.
Comprehensive AI FinOps transformation
A focused, 6-week engagement delivering clear unit economics and optimization strategies for high-cost AI workloads.
Specialized programs to track cost-to-train and cost-to-serve, providing clear unit economics for all AI/ML models.
Governance and optimization strategies focused on the cost, performance, and risk management of autonomous AI agents built on LLMs.
Schedule a free 30-minute consultation — we'll confirm your data is a fit.
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Fixed-fee, no hidden costs
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These figures reflect published research on AI cost governance programs. Individual results depend heavily on your current AI spend, model complexity, and existing governance.
Organizations with unmanaged AI infrastructure commonly find GPU utilization running at 30-50%. Governance programs typically improve this to 70-85%, directly reducing cost-per-inference.
Most organizations deploying GenAI can't accurately state what each API call or model inference actually costs. FinOps for AI produces that number — which is the prerequisite for profitability.
Industry research suggests well-optimized LLM inference can be 5-10x cheaper than naive deployments at scale. Governance programs find these savings systematically.
Ready to see what's possible for your data?
📅 Schedule Free ConsultationAI FinOps is specialized for the unique challenges of GenAI and LLMs. We focus on unit economics (cost-to-train, cost-to-serve), model profitability, GPU optimization, and autonomous agent governance — challenges not addressed by traditional cloud cost management.
We support all major platforms including OpenAI, Anthropic Claude, Google Vertex AI, AWS Bedrock, Azure OpenAI, and open-source models. Our expertise spans the full AI ecosystem including custom model training and deployment.
AgentOps focuses on governance and optimization of autonomous AI agents built on LLMs. We track agent costs, optimize performance, manage risks, and ensure agents operate capital-efficiently at scale.
CMF-AI is our optional recurring service that locks in model profitability long-term. It provides continuous monitoring, optimization for dynamic AI environments, and governance maintenance as your AI initiatives evolve and scale.
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💬 Talk to an ExpertComplete solutions that work together seamlessly
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💡 Get Expert GuidanceStart with AI Profitability Audit
Discuss your AI initiatives and cost challenges
6-week focused engagement delivering unit economics and roadmap
Deploy AI/GPU cost governance and AgentOps integration
Continuous Managed FinOps for AI for long-term optimization