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 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.
Let's Turn Your AI Plan Into a Working System
Every company talks about AI. Few know how to make it work in practice. Studies by Amazon show that five businesses adopt AI every minute, but not all of them will see a measurable business impact. Many start with a promising use case and end up with a prototype that never leaves the lab. Others struggle to align AI goals with their existing data or processes.
LeverX helps bridge that gap. We work with enterprises that already have data, systems, and ambition — but need consulting or technical expertise to move from idea to production. Our AI team connects data science with enterprise software, ensuring every solution operates reliably within your business environment.
Typical challenges we help solve:
- Lack of internal expertise to evaluate, train, and deploy AI models.
- Unclear TCO and unpredictable operational costs for AI models.
- Uncertainty about which business process will deliver the highest return from AI.
- Compliance or data security concerns when implementing AI-driven workflows.
- Large volumes of data with no clear plan for analysis or prediction.
- Legacy systems that block AI integration or automation.
- Fragmented data sources that reduce the accuracy of machine learning models.
- AI pilots that fail to scale beyond proof-of-concept.
Our Comprehensive AI Services
AI consulting
Generative AI
AI agent development
AI assistant development
AI app development
AI solutions implementation
SAP AI services
SAP Business AI
SAP Joule
Henry Traverso
Director of Client Solutions
How Our AI Services Drive Your Business Success
Data-driven decisions
Faster business processes
Higher accuracy across operations
Smarter use of resources
Scalable growth
Continuous improvement
Key AI Technologies We Use
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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
Our AI Implementation Roadmap
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
Why LeverX?
Proven track record
Industry-contextual AI expertise
Quality and security track record
Investment in innovation
Strategic AI ecosystem partners
Proprietary solutions
Frequently Asked Questions
How do I know if my company is ready for AI?
Start with your data. If it’s structured, accessible, and used consistently, you’re halfway there. AI needs reliable input before it can produce reliable output. LeverX conducts a readiness audit that shows which data, infrastructure, or processes need adjustment before implementation begins.
What makes enterprise AI projects fail most often?
Can AI work effectively with legacy SAP or ERP systems?
How can we measure ROI from AI initiatives?
Is generative AI safe for enterprise data?
Do I need a dedicated AI team to maintain these solutions?
Contact Us
What happens next?
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An expert will reach out to you to discuss your specific needs and requirements.
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We'll sign an NDA to ensure any sensitive information is kept secure and confidential.
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We'll work with you to prepare a customized proposal based on the project's scope, timeline, and budget.
years of expertise
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CONTACT US
If you are looking for an SAP Global Strategic Supplier or Technology Partner for your business, fill out the form below, and we will contact you at short notice.