AI Development Services
Transform your business with powerful, scalable, and intelligent AI development services tailored to your unique needs. We help businesses leverage artificial intelligence to automate processes, improve decision-making, enhance customer experiences, and unlock new growth opportunities.
Our team delivers end-to-end AI solutions, from strategy and development to integration and ongoing optimization. Whether you need AI-powered applications, intelligent chat bots, machine learning solutions, generative AI, or custom automation, we build solutions designed around your business goals.
AI development services we offer
From early-stage strategy to production-grade agentic systems engage one service or combine several into a connected AI program.
AI Consulting & Strategy
Readiness assessment and a prioritized use-case roadmap before any build work starts, so AI investment goes where it moves the business needle.
Custom AI & ML Model Development
Predictive models, classification, and recommendation systems trained on your data and built for production, not just a notebook demo.
Generative AI Development
Content generation, document automation, and structured-output systems built on top of leading foundation models, tuned to your domain.
LLM Integration & Fine-Tuning
Model selection, prompt architecture, and fine-tuning so your LLM understands your domain language and business rules.
AI Agent & Copilot Development
Agentic workflows built on MCP that connect directly into Umbraco, CRM, and ERP systems to act, not just answer questions.
AI Chatbot Development
Customer and internal support chatbots that integrate with your existing knowledge base and escalate cleanly when they hit their limits.
Custom AI Integration
Connecting AI models and agents into your existing operations via secure APIs and MCP, without disrupting current workflows.
AI-Powered Automation
Workflow and content-quality automation from editorial checks to approval routing that removes manual, repetitive work.
AI Support & Maintenance
Ongoing monitoring, retraining, and performance tuning after go-live, so accuracy doesn't quietly drift over time.
Operational problems our AI work is built to solve
Manual, repetitive processes
Content review, approvals, and data entry that eat hours your team could spend on higher-value work.
Unreliable forecasting
Decisions made on gut feel because the data exists but isn't turned into a usable signal.
Slow customer response times
Support and sales queries that sit in a queue instead of getting an instant, accurate first response.
Fragmented enterprise data
Content, CRM, and ERP data that don't talk to each other, so no system has the full picture.
Content quality & compliance gaps
SEO, accessibility, and brand-consistency issues that only get caught after publish.
AI outputs that don't stay grounded
Generic AI tools that hallucinate because they aren't connected to your actual enterprise knowledge.
Book a 30-minute AI consultation
AI development from a team that also builds the platforms it runs on
ISO 9001-certified delivery - Every AI engagement runs under the same governed process as our platform work.
Umbraco & MCP-native - 3x Umbraco MVP-led team already building agentic tooling directly into Umbraco.
Enterprise integration depth - Direct experience connecting AI into Salesforce, SAP, and Dynamics 365 environments.
Microsoft-native stack - .NET and Azure-first architecture for teams already standardized on Microsoft.
One team, not a handoff - The people who scope your AI strategy are connected to the people who build and integrate it.
The Digital Insurance Services we provide for insurance companies!
AI applied to the document-heavy, compliance-sensitive workflows that slow financial and insurance operations down.
Automated policy and claims document processing
Fraud and anomaly detection on transaction data
AI-assisted customer support for policy queries
AI that improves discovery, personalization, and operational efficiency across the buying journey.
Product recommendation and personalization engines
AI-assisted content and catalog generation
Demand forecasting and inventory signals
AI that reduces the manual research, drafting, and reporting overhead in knowledge-heavy teams.
Document summarization and report generation
Internal knowledge-base copilots
Proposal and content drafting automation
AI applied to quality, planning, and equipment data that's usually collected but underused.
Predictive maintenance signals from equipment data
Quality inspection support
Supply chain and planning optimization
AI applied to the document-heavy, compliance-sensitive workflows that slow financial and insurance operations down.
Automated policy and claims document processing
Fraud and anomaly detection on transaction data
AI-assisted customer support for policy queries
AI that improves discovery, personalization, and operational efficiency across the buying journey.
Product recommendation and personalization engines
AI-assisted content and catalog generation
Demand forecasting and inventory signals
AI that reduces the manual research, drafting, and reporting overhead in knowledge-heavy teams.
Document summarization and report generation
Internal knowledge-base copilots
Proposal and content drafting automation
AI applied to quality, planning, and equipment data that's usually collected but underused.
Predictive maintenance signals from equipment data
Quality inspection support
Supply chain and planning optimization
Our Technology Stack
Language
LLM & AI frameworks
ML & data
Cloud & Deployment
Integration
Platform-Native
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Python
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C#
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Typrscript
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OpenAI
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Azure OpenAI
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LangChain
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Semantic Kernel
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MCP
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Scikit-learn
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Pandas
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NumPy
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Azure ML
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Azure Functions
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Docker
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Kubernetes
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REST APIs
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MCP servers
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Dynamics 365
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Salesforce
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SAP
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Umbraco Automate
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.NET / .NET Core
Your Web Application Development Journey
Step 1
Discovery & Strategy
Step 2
Data & Design
Step 3
Develop & Train
Step 4
Deploy & Support
Frequently Asked Questions
When does a business need custom AI development instead of off-the-shelf AI tools?
Off-the-shelf AI tools work well for generic tasks, but custom development makes sense once your workflows, data structure, or compliance requirements are specific to your business, for example, an AI agent that needs to work inside your existing CMS, CRM, or ERP rather than around it.
How long does an enterprise AI project typically take?
Scope drives timeline more than anything else. A focused proof-of-concept can be scoped and delivered in a matter of weeks; a production AI system with integration into enterprise platforms is typically a multi-month engagement, phased so value is visible before the full build is complete.
Can you integrate AI into our existing Umbraco, CRM, or ERP systems?
Yes, this is a core part of our approach. We build AI agents and integrations using MCP and API-based patterns designed to sit inside your existing Umbraco, Salesforce, SAP, or Dynamics 365 environment, rather than requiring a separate standalone tool.
What AI engagement models do you offer?
Engagements are scoped as a fixed-price proof of concept, a dedicated AI development pod, or ongoing staff augmentation into your existing engineering team, matched to how mature your AI initiative already is.
How do you handle data security during AI development?
Every AI engagement runs under our ISO 9001 & 27001-certified delivery process, with an NDA and a data-handling review completed before any project data is accessed.
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