XConnn AI Labs

AI Services — Strategy to Production

We offer a complete set of AI services designed to take your project from the first whiteboard session to a model running in production — and keep it there.

All Services

AI Strategy Consulting

We help you identify where AI delivers the most value in your business — and build a roadmap to get there fast, without the hype.

  • AI readiness assessment across your organization
  • Opportunity identification and prioritization
  • Build-vs-buy analysis for AI solutions
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Custom AI Development

From fine-tuned language models to computer vision pipelines, we design and build AI systems tailored to your exact needs.

  • Large language model (LLM) fine-tuning and customization
  • Computer vision system development
  • Natural language processing (NLP) pipelines
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AI Integration & Deployment

We connect AI capabilities into your existing products and workflows — reliably, securely, and at production scale.

  • REST and gRPC API development for AI models
  • Cloud deployment on AWS, GCP, and Azure
  • Containerization with Docker and Kubernetes
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Data & MLOps

We establish the data infrastructure and ML lifecycle tooling that keeps your AI models accurate, observable, and improving over time.

  • Data pipeline design and implementation
  • Feature store setup and management
  • Model registry and versioning
Full details

Common questions

How long does a typical engagement take?

It depends on the service. AI strategy consulting engagements typically run 4–6 weeks and end with a roadmap. Custom AI development and integration projects usually run 8–16 weeks depending on scope. We give you a concrete timeline estimate before any work begins — not after.

Do you work with companies that don't have an existing data or ML team?

Yes — that's most of our clients. We often embed with product and engineering teams that have never shipped an AI system before, and we transfer knowledge as we work so your team can maintain and extend what we build after we're gone.

What do you need from us to get started?

For strategy engagements, access to the right stakeholders and a rough sense of your data landscape. For development and integration work, access to representative data, a technical point of contact, and clarity on the systems we'd be integrating with. We audit specifics during the first phase of any engagement.

Do you only build custom models, or do you also work with existing AI APIs and tools?

Both. A lot of the value we add is knowing when a fine-tuned open-source model is the right call versus when an existing API (OpenAI, Anthropic, etc.) already solves the problem more cheaply and reliably. We recommend the simplest system that meets your accuracy, latency, and cost requirements — not the most impressive one.

How is pricing structured?

Most engagements are scoped as fixed-price phases tied to concrete deliverables, so you know the cost before committing. For ongoing integration and MLOps work, we also offer retainer arrangements. We'll recommend the structure that fits your project after the initial scoping conversation.

What happens after the project ships?

We hand off with documentation, runbooks, and a knowledge-transfer session so your team can operate the system independently. Many clients also keep us on a lighter retainer for monitoring, retraining, and incremental improvements — but that's optional, not a lock-in.

Not sure which service fits?

Tell us where you are in your AI journey and we'll recommend the right starting point.