AI ML Development Services
Enterprise-scale custom AI solutions and machine learning development services that deliver a measurable ROI
Xavor provides custom AI development services for enterprises that need production-ready AI with defined governance controls and measurable business outcomes.
Featured clients
AI/ML development services to solve business complexity
What are custom AI solutions?
Custom AI development builds an AI system for a defined business workflow. The system is designed around the data it can use and the tasks or decisions it must support.
Xavor develops custom AI solutions for enterprise use. Each solution runs in your cloud or on-premises environment, with access controls and production monitoring defined before deployment.
AI capabilities built for enterprise use
Custom AI solutions we offer
As a custom AI development company, Xavor has delivered AI systems for enterprises across industries and regions. We help you extend your internal capability and ship production-ready work.
Custom Machine Learning Solutions
Custom ML models trained on your data and deployed to your stack, all while being compliant with industry regulations.
Deep Learning Solutions
Deep learning models for vision, language, time-series, and anomaly detection problems that classical ML cannot solve.
Statistical Modeling
Turn your enterprise data into statistical models for better planning and risk analysis.
Natural Language Processing
NLP systems for sentiment analysis, document processing, classification, extraction, and language-driven workflows.
Computer Vision Solutions
Turn images and videos into useful data for medical imaging, factory floor inspection, inventory management, or operational decisions.
Agentic AI
AI agents that are engineered to execute tasks and interact with systems while operating within enterprise guardrails.
Generative AI Development Services
GenAI apps based on your already existing LLMs or new models to craft entirely new generative AI experiences.
Artificial Intelligence Consulting
Identify where AI belongs in your workflows and how it would deliver the business impact you want.
Build ethical and responsible AI products
Enterprise AI without the governance gap
Most enterprise AI projects stall during security and compliance review. We deliver production AI with hallucination controls and audit trails built in from day one. So, you can ship responsible AI products that meet your specific industry regulations and ethical standards.
Xavor covers the full range of AI technologies. Everything is deployed on your cloud as AI as a Service or on your on-prem system with governance embedded early on.
Industries we serve
Custom AI solutions tailored to your industry
Xavor has expertise in all types of artificial intelligence to create enterprise AI solutions for any industry. Our experts are proficient in widely used AI technologies with strong experience in HealthTech, manufacturing, and finance.
HealthTech
Manufacturing
Finance
Let’s talk innovation: AI and ML solutions built for healthcare, finance, retail, logistics, education, and beyond—designed to fit your vision.
Tech stack we use
We craft custom AI solutions, blending the sharpest tech to sharpen your edge.
Generative AI Models
Frameworks
Cloud & Hosting
Databases
Development Tools
AI product development done right
Our AI development lifecycle
Xavor delivers fully functioning, reliable AI products at scale starting with AI MVP development within 90 days.
Discover opportunities
- We identify high-value AI use cases and define clear ROI and success metrics before any build begins.
Architecture design
- Xavor designs the right enterprise AI architecture and integrates your systems with the data governance needed to scale safely.
Knowledge retrieval
- Our experts connect the solution to trusted enterprise knowledge through indexing, embeddings, retrieval tuning, and grounded prompts.
Agent orchestration
- We plan how AI agents work together to use tools and coordinate across enterprise workflows, turning your organization into a connected enterprise.
Safety and Governance
- Xavor adds PII protection and adversarial testing before deployment. Hallucination controls keep the system within enterprise governance standards.
Deploy with LLMOps
- We operationalize models and prompts through CI/CD pipelines and production environments that handle higher workloads.
Measure and improve
- Our AI engineers monitor performance and outcomes continuously. When model drift appears, they update the solution against current data and business conditions.
Why Xavor
Why trust Xavor with your AI projects
Certified AI experts
- We have a professional team of AI experts that can handle all kinds of artificial intelligence jobs.
Machine learning capabilities
- With Xavor, you work with ML experts who are your all-round resources for ML, deep learning, and NLP.
Modern AI facilities
- We provide our teams state-of-the-art AI work centers equipped with the latest AI tools and technologies.
Integrated team model
- Our AI experts work in tandem with embedded, software, mechatronics, and IoT teams to develop holistic solutions.
Stategic partnerships
- Xavor partners with AWS, Azure, Salesforce, and other vendors to build and deploy AI solutions across any platform.
Flexible and agile
- Our AI services offer flexibility to develop AI solutions for small businesses or large enterprises with equal results.
About Xavor
Empowering today, engineering tomorrow—driving possibilities since 1995.
Xavor is an AI-first company that combines world-class tech expertise, disciplined execution, and a client-first approach to deliver bespoke solutions for Fortune 500 leaders and beyond.
Blogs
Latest from Xavor
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FAQs
How much does it cost to build an MVP?
The cost of an MVP depends on the complexity, integrations, AI capabilities, and scope of the product. A simple AI MVP can be built relatively quickly, while more advanced solutions involving custom workflows, data pipelines, or enterprise integrations require a larger investment.
How long does it take to build a custom AI MVP?
Most custom AI MVPs can be developed within a few weeks to a few months, depending on the feature set and technical complexity. Timelines are influenced by factors such as data readiness, integrations, UI requirements, and the level of AI customization needed.
Do I need an in-house machine learning engineer to maintain my product?
Not necessarily. We handle model updates, monitoring, and maintenance as part of our service, so your team can focus on the business without needing dedicated ML expertise in-house.
Can you integrate AI with our existing systems?
Yes. We build AI solutions designed to plug into your current tools, workflows, and infrastructure across CRM, ERP, custom software, or any third-party platform.
Who owns the AI model you build for us?
You own the model and its data pipeline after delivery. You also own the outputs produced for your project.