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MLOps Consulting

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MLOps Consulting is a specialist in LLM and MLOps, delivering bespoke projects and end-to-end ML capabilities for enterprises.

Overview

MLOps Consulting is a specialist services firm focused on large language models (LLMs) and MLOps. We deliver bespoke projects for enterprises, building LLM-powered applications and end-to-end ML stacks, helping organizations evaluate the best MLOps tooling, integrating components to support reproducible pipelines, and spinning out open-source projects that advance the MLOps ecosystem. Our work centers on practical engineering, close collaboration with clients to define requirements, and delivering scalable, maintainable AI infrastructure that enables teams to move from concept to production with confidence.

Mission statement

To empower enterprises to design, deploy, and govern robust AI and ML systems by delivering expert MLOps engineering, tool integration, and scalable architectures that enable reliable, responsible, and measurable business impact.

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What we offer

MLOps consulting services

Service

Deliver Tailored MLOps Solutions For Enterprises.

Pricing not published

mlops.consulting/

Market segments

Market size by segment

Growth potential (CAGR)

Model operations (MLOps)

2.98 Billion USD41.2% CAGR

Capabilities that manage the end-to-end ML lifecycle including experiment tracking, CI/CD integration, model versioning, deployment readiness, and workflow automation to operationalize models.

Products: MLOps consulting services

LLM application development

End-to-end development of LLM-powered applications, including prompt engineering, retrieval-augmented generation, domain adaptation, and deployment of vertical assistants (e.g., legal AI).

Products: MLOps consulting services

MLOps architecture and platform planning

0.75 Billion USD45.8% CAGR

Frameworks and planning artifacts to define ML system architecture and infrastructure, stack components, data and code management, model management, and metadata strategies.

Products: MLOps consulting services

Open-source MLOps component development

2 Billion USD25% CAGR

Creation, packaging, and spin-out of open-source components that enhance interoperability, extensibility, and community-driven innovation in ML infrastructure.

Products: MLOps consulting services

More information about our offering

MLOps consulting services

Bespoke LLM and MLOps projects for enterprises, covering development of LLM-powered applications, evaluation and selection of MLOps tool stacks, end-to-end tool integration, and spin-out of open-source MLOps components.

Pricing not published

  • Integrate MLOps Tools
    We provide seamless integration of MLOps tools to create comprehensive, end-to-end MLOps stacks tailored to your needs.
  • Develop LLM-powered Applications
    We specialize in building applications leveraging large language models, creating solutions like Legal AI assistants that enhance operational efficiency.
  • Evaluate MLOps Stacks
    We help organizations navigate the complexity of MLOps tools to select the most effective stack that meets their specific requirements.
  • Spin Out Open-source Projects
    Our team creates and spins out open-source projects, enhancing the MLOps ecosystem and providing valuable components for your stacks.
  • Enhance AI Capabilities
    We work with existing platforms to integrate AI features, revolutionizing business processes and driving new marketing and training strategies.

Sources

Methodology and sourcing behind the figures and links shown above.

Model operations (MLOps)

Multiple syndicated reports place the 2024–2026 MLOps market between roughly USD 1.8–4.5 billion (2024–2026) with high multi‑decade growth forecasts. I used the 2025 valuation reported by Fortune Business Insights (USD 2.98B) as the baseline market size and an average of reported CAGRs (range ~37.0%–45.8%) to estimate a representative growth potential of ~41.2% CAGR.

MLOps architecture and platform planning

Used the provided MLOps market sizing from Fortune Business Insights (global MLOps = USD 2.98B in 2025; CAGR 45.8% through 2034). Estimated the MLOps architecture and platform planning segment as ~25% of the overall MLOps market (covers architecture frameworks, platform selection, planning/consulting, and related tooling), yielding ~USD 0.75B in 2025 and growth potential aligned with the reported MLOps CAGR (45.8%).

Open-source MLOps component development

Search results show broad MLOps/ModelOps market estimates for 2025 ranging from roughly $5.5B (ModelOps) to $219B (data-science/ML platforms), with reported CAGRs from ~17.8% to >41%. Open-source MLOps component development is a niche subset (creation, packaging, support, enterprise add‑ons and spinouts) of the broader MLOps/platform market. Triangulating these sources and conservatively assuming open-source components capture a small but growing share of the ecosystem (low-single-digit percent of MLOps/platform spend in 2025) yields an estimated market size of about $2.0B in 2025. Growth potential is set at ~25% CAGR, positioned within reported MLOps CAGR ranges (17–41%) and reflecting faster adoption of modular open-source components and commercial services around them.

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