AI Development
Services
Skilserve designs, builds and integrates custom AI applications, from predictive models and computer vision to generative AI, retrieval assistants and agents. We build for production: tested, secured, connected to your systems and monitored after launch.
Trusted by leading brands, public bodies and universities across 30+ countries
Powered by leading cloud and AI platforms
Compliance
One team for model development, application engineering, integration and operations.
Machine learning development
Forecasting, scoring, classification, anomaly detection and recommendation on your data.
Computer vision
Inspection, detection, counting and reading text from images, video and scanned documents.
Natural language processing
Classification, extraction, summarisation and search over text.
Generative AI development
Text, image, code and multimodal applications built around your content and brand.
LLM development & fine-tuning
Model selection, prompt design, fine-tuning and evaluation for your use case.
RAG development
Assistants that answer from your own documents and data, with sources.
Agentic AI development
Agents that plan tasks, call tools and complete workflows within set controls.
AI chatbots & voice agents
Customer and employee assistants across chat and phone.
AI integration & implementation
Connect AI to ERP, CRM, ticketing and data platforms.
MLOps and AI as a service
Deployment, monitoring, retraining and managed operation.
AI applications designed around the decisions,
information and workflows that matter to your business.
Predictive analytics
Demand, risk, churn and maintenance forecasts.
Intelligent automation
AI-assisted workflows with human review where it matters.
Knowledge assistants & copilots
Answers grounded in your documents.
Document intelligence
Classify, extract, validate and route documents into your systems.
Vision systems
Quality inspection, safety monitoring and visual verification.
AI inside your product
Recommendations, search, assistants and personalisation.
A staged path from idea to production, with evaluation at every step.
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1
Discovery & Feasibility
Goal, data, systems and success measures.
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2
Data preparation
Access, cleaning, labelling and governance.
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3
Prototype & Evaluation
Test approaches on representative tasks and agree quality thresholds.
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4
Engineering & Integration
Build the application and connect it to your systems.
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5
Testing & safety Review
Accuracy, security, bias, load and failure-mode checks.
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6
Deployment & Monitoring
Controlled release, monitoring, retraining and support.
Every build is planned in layers so it can be secured, tested and changed.
Application Layer
Deliver AI through websites, enterprise software, mobile applications, internal portals or APIs.
AI Layer
Use the appropriate model or AI service for the specific workload.
Data Layer
Provide approved business information required by the application.
Integration Layer
Connect AI with CRM, ERP, databases, APIs and other operational systems.
Validation
Apply deterministic rules, confidence thresholds and human review where needed.
Monitoring
Track operational quality, latency, failures, usage and business outcomes.
Models
Frameworks
Data & retrieval
Cloud & infrastructure
MLOps & monitoring
Founders, CEOs and operating leaders share what it is like to build with Skilserve.
End-to-end engineering
Strategy, build, integration and operations in one accountable team.
Specialist AI engineers
Across ML, vision, NLP, generative AI and data.
Enterprise integration
Built to work with the systems you already run.
Model flexibility
We match the model to the task and avoid early lock-in.
Production evaluation
Quality thresholds are agreed and tested before release.
Human oversight & security
Review steps, access controls and audit logs where needed.
AI Consulting Services
Assess opportunities, readiness and priorities before committing to a build.
Explore AI Consulting→
AI Solutions
Delivers AI solutions and services for organisations that want to plan, build and run AI inside their own systems.
Explore AI Solutions→
What do AI development services include?
How much does AI development cost?
Do we need a lot of data?
Not always. Many generative and retrieval projects work with your existing documents. Predictive models need relevant history. We assess this in discovery.
Can you integrate AI with our ERP, CRM and other systems?
Which AI models do you use?
How do you keep AI accurate and safe?
We agree quality thresholds, test on representative tasks, add human review and guardrails where needed, and monitor in production.
Who owns the models and code?
Tell us your goal, your data and your systems. We will review your requirements, hold a strategy call and send a clear roadmap and estimate.
- We review your requirements
- Strategy call with our experts
- Clear roadmap and estimate
- NDA Protected
- Enterprise-Grade Delivery
- Global Clients