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AI Services Company

LeverX provides end-to-end AI expertise, guiding you from data audit and consulting to full-cycle implementation and integration into your existing systems.

LEVERX — YOUR RELIABLE AI PARTNER

LeverX is a global system integrator with over 20 years of experience delivering enterprise software solutions. Our dedicated AI team helps companies design, build, and deploy practical artificial intelligence systems that solve real operational tasks. We work with structured and unstructured data, train and optimize models, and integrate AI into ERP, CRM, and analytics platforms. 

1,500+
successful projects
15
offices, 10+ countries
2,200+
employees
700+
certified experts

Our Comprehensive AI Services

We offer end-to-end AI services that cover the entire technology landscape. We provide both best-in-class vendor-based solutions (like SAP Business AI) and custom-developed AI applications, ensuring every solution is tailored for your enterprise. 

AI consulting

AI projects fail when strategy comes after implementation. Our consulting service helps you define measurable objectives, evaluate technical feasibility, and choose the right models and platforms. LeverX experts guide you through data readiness, infrastructure planning, and governance — so you invest in AI that actually fits your business.

Generative AI

If your business still manually handles repetitive creative or analytical tasks, you’re losing time that AI can save. Generative AI creates text, code, and visuals based on your data, reducing workload across content, customer support, and documentation. LeverX builds and fine-tunes generative models to match your tone, rules, and compliance needs — so output is fast, secure, and business-ready.

AI agent development

Many teams rely on static tools that can’t respond to context. AI agents change that. They act on live data, make decisions, and trigger actions in your systems. LeverX develops autonomous agents capable of handling customer queries, managing workflows, or executing predefined business tasks — always within controlled logic and traceable parameters.

AI assistant development

Internal operations often rely on employees to manually search, report on, or analyze data. AI assistants simplify this by providing instant access to company data and automating responses. We develop assistants for finance, HR, logistics, and customer service. These assistants retrieve insights, prepare reports, and execute routine tasks directly within enterprise tools.

AI app development

Many companies experiment with AI tools but struggle to turn prototypes into scalable applications. LeverX designs and builds production-ready AI apps tailored to existing IT infrastructure. We ensure every application integrates cleanly with enterprise data pipelines and meets security and performance requirements.

AI solutions implementation

Even well-planned AI initiatives can stall during implementation. Integration, performance tuning, and deployment often require specialized expertise. LeverX manages full-cycle implementation, from model training and optimization to system integration and monitoring. As a result, your AI systems perform consistently under real business conditions.

SAP AI services

Companies using SAP often need AI beyond standard modules — for custom predictions, classifications, or process automation. LeverX implements custom AI models via SAP BTP, integrating them into existing landscapes and extending their use cases through custom models. The result is precise, data-driven decisions directly inside SAP systems.

SAP Business AI

Many SAP systems hold valuable data that remains underused. SAP Business AI brings predictive analytics (available out-of-the-box) and intelligent automation into SAP processes. LeverX helps organizations enable and configure these capabilities, linking them with core business workflows to improve accuracy in planning, procurement, and operations.

SAP Joule

SAP Joule introduces a conversational AI assistant into enterprise workflows, connecting users with business data through natural language. LeverX helps deploy and tailor Joule to specific roles and tasks. Thus, your employees can request analytics, trigger actions, and navigate processes through simple chat-based interactions. This reduces time spent on manual searches and routine operations.
We’ll help you identify where it works best, design a clear roadmap, and move from pilot to production. Talk to our team to start your AI project.

Henry Traverso

Director of Client Solutions

How Our AI Services Drive Your Business Success

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Data-driven decisions

Guesswork ends when data becomes readable. Our AI solutions extract patterns from real operations, turning scattered data into concrete forecasts. This helps your teams plan with confidence, allocate resources effectively, and react before problems occur — not after.
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Faster business processes

Manual checks, approvals, and reports slow the processes of even well-structured organizations. AI automation removes unnecessary steps and handles repetitive tasks effectively. As a result, you have faster execution and fewer delays. And your teams focus on value, not paperwork.
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Higher accuracy across operations

AI models detect anomalies and inconsistencies that humans miss. They help reduce human error and ensure compliance in various processes, from financial transactions to quality control. For your business, this means fewer costly corrections and a stronger foundation for strategic planning.
Solution

Smarter use of resources

AI helps you see where time, money, and talent bring the most impact. Predictive algorithms show which areas yield real return and which drain capacity. You can prioritize the right projects and reallocate resources based on measurable insights, not assumptions.
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Scalable growth

Scaling manually-driven processes often increases complexity. AI allows your systems to handle more data, more transactions, and more customers — without adding proportional headcount. Growth becomes sustainable and technically supported, not resource-bound.
Engineering

Continuous improvement

Unlike static systems, AI learns from every new data point. LeverX designs models that refine their performance over time. So, your business decisions improve automatically. This creates an ongoing cycle of optimization — steady progress without constant manual tuning.

Key AI Technologies We Use

We use a modern stack of leading AI models, frameworks, data platforms, and cloud tools to build scalable, high-quality AI solutions. This technology foundation enables fast development, reliable deployment, and strong performance across all our AI projects.

  • Models we work with
    SAP Business AI, GPT-4, Claude, Llama 3, PaLM-2, Stable Diffusion, DALL·E 2, Phi-2, Whisper, Google Gemini, Mistral, Bloom 560m, Banuba
  • AI & ML frameworks
    SAP AI Core, TensorFlow, TensorFlow Lite,  Detectron2, LangChain, Hugging Face, Core ML, ML Kit, Librosa, OpenCV, LlamaIndex, PyTorch
  • Data platforms
    Databricks, Snowflake, ClickHouse, Apache Airflow, Kafka
  • Cloud services
    AWS, Microsoft Azure, Google Cloud Platform
  • Embedding providers
     OpenAI, Vertex AI, open-source & proprietary embeddings
LEVERX
Have a specific AI request? Share the details and we’ll see how we can help you.

Our AI Implementation Roadmap

Every AI initiative is different. Some start from a rough concept, others from an existing dataset or a pilot model. Regardless of the starting point, we follow a proven process that ensures technical accuracy, business relevance, and measurable outcomes. Here’s how we work:

1. Discovery and data audit

  • Current state review:
    Analyze existing data sources, quality, formats, and governance practices.
  • Goal definition: Identify concrete business objectives that can be achieved through AI — for example, demand forecasting or process automation.
  • Feasibility check: Evaluate available infrastructure, tools, and integrations to define realistic project boundaries.
  • Readiness report: Deliver a summary of what is required to proceed, including data preparation or system modernization steps.

2. Exploration and use case design

  • Use case selection: Work with stakeholders to prioritize AI scenarios by impact and complexity.
  • Success criteria: Define clear KPIs and measurable results expected from each use case.
  • Technology alignment: Choose suitable frameworks, languages, and cloud or on-premise environments.
  • Resource mapping: Outline team composition, technical roles, and initial effort estimates.

3. Hypothesis validation and Proof of Concept (PoC)

  • Model prototyping: Build and train simplified versions of models to confirm assumptions.
  • Data validation: Test data consistency, bias, and predictive potential.
  • Performance testing: Evaluate accuracy, latency, and integration behavior under controlled conditions.
  • Refinement: Adjust algorithms or architecture based on PoC findings before scaling up.

4. Architecture design and integration planning

  • System design: Define data pipelines, model deployment architecture, and communication layers.
  • Integration planning: Map connections to ERP, CRM, analytics, or external APIs.
  • Security and compliance: Plan data access, encryption, and audit mechanisms aligned with internal policies.
  • Scalability design: Ensure architecture supports growing data volumes and user demand.

5. Full-scale implementation

  • Development and training: Build production-grade models and supporting applications.
  • Integration: Connect AI components with enterprise systems for real-time operation.
  • Testing and validation: Conduct end-to-end testing of functionality, performance, and data accuracy.
  • Deployment: Move validated AI systems into production with monitoring in place.

6. Continuous optimization and support

  • Monitoring: Track model behavior, accuracy, and drift through dashboards and alerts.
  • Optimization: Retrain models and tune parameters as new data appears.
  • Maintenance: Ensure integration reliability and data pipeline stability.
  • Knowledge transfer: Provide documentation, training, and operational guidance for in-house teams.

Industries We Serve

Our experience spans multiple industries where we’ve learned what truly drives results and what pitfalls to avoid when managing data at scale.

Why LeverX?

Proven track record

For over 20 years, we have helped businesses worldwide succeed with SAP. We’ve already completed 1,500+ projects for over 900 clients, including top names on the Fortune 500 list.

Industry-contextual AI expertise

The LeverX team leverages hands-on knowledge in 30+ industries, including compliance-intensive sectors like manufacturing, oil and gas, and logistics, to ensure AI solutions are contextually accurate and solve unique sectoral challenges.

Quality and security track record

LeverX operates in strict compliance with international standards, such as ISO 9001 and ISO 27001. This adherence guarantees a secure Software Development Lifecycle (SDLC) for your AI solutions, ensuring data integrity, reliability, and compliance in every project.

Investment in innovation

We actively integrate advanced technologies, such as Data Science, IoT, AI, Big Data, Blockchain, and others, to help clients efficiently address their business challenges.

Strategic AI ecosystem partners

LeverX partners with SAP, AWS, Microsoft, Snowflake, and Databricks to deliver end-to-end implementations and unified data environments. This ensures future-ready data management across cloud and hybrid ecosystems.

Proprietary solutions

We are both a system integrator and an active developer of our own proprietary AI solutions, such as the Intelligent Assistant for Unstructured Data.