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AI Services

Designing intelligent systems for real-world performance

Intelligence that moves business forward

powered by Mova iO

Many businesses today are stuck in disconnected pilot/test projects, siloed insights, and AI solutions that have not yet reached full production. Movate’s AI solutions are built to address this gap by linking strategy to execution. From contextual AI design to secure, scalable deployment, we turn AI ambition into a measurable impact, unlocking new efficiency, innovation, and business value at scale.

How do we help you infuse AI-powered decisioning from strategy to execution?

We bring AI into the core of your enterprise through three pillars that take you from ambition to a measurable impact.

Contextualize

We ground AI in your enterprise knowledge by using correlated knowledge graphs that connect processes, systems, and ontologies, ensuring every action and decision insight is relevant, contextual, and business-aligned.

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Co-engineer

We meet clients where they are, building on their existing platforms and data to architect AI agents and agentic workflows that accelerate business processes and IT development and operations, with responsible AI principles embedded.

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Co-deliver

We scale AI across delivery using our AI-native delivery models, integrating Movate experts for judgment, creativity, and accountability, and powered by AI agents for speed, accuracy, and scale.

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Our AI service offering

AI to intelligence, for enterprise impact

AI consulting

We partner with enterprises to design and implement AI strategies that deliver measurable business impact. We break down processes into phases, steps, actions, and decisions, structuring knowledge into graphs that offer precise, contextual recommendations. From AI maturity assessments to roadmaps, we help position your organization to leverage AI sustainably at scale.

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AI readiness

We prepare you to adopt AI confidently through a maturity framework assessing vision, use cases, data, infrastructure, people, and governance. We focus on data quality and build the necessary engineering foundations, pipelines, and infrastructure to scale. This evaluation highlights strengths, gaps, and risks; integrating AI on a solid, production-ready foundation.

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AI & ML

Automation and AI/ML solutions improve efficiency, speed decision-making, and foster innovation. We implement ML techniques like predictive, prescriptive modeling, NLP, computer vision, and deep learning in critical areas. Our platform-first architecture includes industrialized analytics framework and MLOps practices such as model monitoring, drift detection, deployment, and governance delivering business outcomes at scale.

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Generative AI

We leverage Generative AI to accelerate content creation, personalize experiences, and simulate scenarios with RAG architectures, fine-tuned models, and retrieval-augmented knowledge pipelines. We offer summaries, generation of text/image/audio, scenario modeling, conversational AI, and real-time recommendations, supported by knowledge graphs to deliver context and accuracy.

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Agentic AI

We develop goal-oriented AI agents to execute complex workflows, set objectives, plan, reason, and perform tasks with human oversight. Our architecture supports interoperability via standard protocols, with security, prompt protection, red teaming, and responsible AI principles. We bring you a ready-to-use agent marketplace that gives you fast wins and effortless scale as you grow.

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Proven business impact

E-commerce Fraud Detection

99% seller classification accuracy with ML-based fraud detection for a global ecommerce platform

Movate implemented ML-based risk scoring and fraud detection, achieving 99% seller classification accuracy and 80% fraud detection precision. The solution reduced manual effort by 60%, improved IRS dues visibility by 35%, and enabled real-time monitoring to scale the marketplace.

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Ride-Hailing Provider

Weeks to hours insight turnaround for a global investment firm

Movate’s AI/ML platform automated sentiment and market analysis across news, earnings calls, and social media. Insight delivery timelines dropped from weeks to hours, enabling faster investment decisions, reduced manual workload, and proactive risk management across 225+ portfolio companies.

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Loyalty Analytics

2× faster QA and scalable production for an AI content technology provider

A GenAI content publisher faced inconsistencies in generating reliable motion imagery. Movate engineered a structured AI workflow with prompt optimization and multi-layered QA, shortening feedback cycles and enabling high-quality, scalable digital video production.

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Our strategic alliances

We believe in delivering great business experiences by our first-time right approach which also includes co-innovating with our technology and business partners

FAQs

1. What problems does Movate solve for enterprises adopting AI? +
Many enterprises struggle with pilot programs and AI projects that don’t go to production. Movate bridges the gap between strategic and tactical execution, enabling intelligence to be incorporated into daily operational processes and providing a quantifiable, scalable impact for the enterprise.
2. What is included in Movate’s AI consulting services? +
Using a methodical approach that includes AI maturity assessment, use cases prioritization, and a roadmap, Movate works with enterprises to create scalable AI strategies. Movate collects information and organizes it into context-aware systems that allow customers to achieve measurable scale impacts.
3. What is AI readiness, and why is it critical? +
AI readiness is the evaluation of an organization’s overall readiness for AI deployment by assessing its vision, use cases, data readiness, people, infrastructure, and governance framework. The process of AI readiness also includes prioritizing data engineering and quality as well as establishing foundational engineering measures to ensure that the AI solutions created will be production-ready with lower project risks.
4. How are knowledge graphs used in AI solutions? +
The knowledge graphs can provide structure to all elements of the enterprise, across different processes and systems. Knowledge graphs also enable businesses to gain contextual intelligence, which helps produce better recommendations, improve them, and align AI solutions with the business.
5. What makes your AI & ML solutions enterprise-grade? +
Our AI/ML solutions utilize MLOps and a platform-first architectural approach to build an enterprise-grade solution. Our enterprise-grade solutions have been designed to meet the requirements of scalability, reliability, and sustainability.
6. How does Generative AI create enterprise value? +
Generative AI creates enterprise value by accelerating content creation, tailoring it to users’ needs, and simulating different scenarios with RAG and fine-tuned models. The enterprise context and knowledge graphs provide relevance, accuracy, and trust.
7. What is Agentic AI, and how is it different from traditional AI? +
Agentic AI uses goal-driven agents that plan, reason, and execute tasks end-to-end. It combines human expertise for judgment with AI agents for speed, volume, and operational efficiency.
8. How do you ensure responsible and secure AI deployment? +
Responsible AI is included in governance, security, prompt protection, & red teaming. Standard protocols MCP; A2A provides safe, compatible, & scalable architectures for agents.
9. What does “Contextualize” mean in AI transformation? +
It means engaging with AI through correlated knowledge graphs that align. This makes it possible to gain insights that are relevant, understandable, and aligned with the organization’s business vision.
10. How do Co-engineer and Co-deliver accelerate AI at scale? +
Co-engineer and Co-deliver speed up the implementation of AI throughout an organization. Co-engineer allows organizations to create their own AI from their existing platforms and data. Co-deliver supports the use of AI by creating new delivery methods that combine human experts working alongside machines for efficient use of speed and accuracy.

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