AI Powered Software Development Services

The cost depends on the AI feature, data requirements, model integration and complexity involved. A focused chatbot or search feature is simpler, while custom models, fine-tuning and MLOps require more development. Every project is scoped and quoted individually before work begins.

A focused feature, like a grounded chatbot or a document classifier, typically takes 4 to 10 weeks. Larger projects involving custom model training or several integrated AI features usually run 12 to 20 weeks.

Almost nobody needs a model trained from scratch. We typically integrate and ground existing large language models, GPT, Claude or Gemini, on your data, which is faster, cheaper and usually just as effective as building something custom.

We test against real examples pulled from your business before launch and hand you honest accuracy numbers instead of a rounded-up promise. Guardrails and human review get built in anywhere a wrong answer carries real cost.

We ground responses in your actual data through retrieval-augmented generation instead of leaning on a model's general knowledge, then add validation, source citation and escalation paths so an uncertain answer gets flagged, not guessed.

Yes, and it usually has to. Most of our AI work goes into systems that already exist, adding a search or assistant feature to a current product rather than building something entirely separate from it.

Yes. Data handling is designed around your privacy and compliance requirements, including exactly which providers see your data and how it's stored, and we're upfront about the tradeoffs between model providers before you commit to one.

We'll tell you. Part of discovery is honestly weighing whether a rules-based system, a simpler automation, or no change at all serves you better than an AI feature, even if that means a smaller project, or none at all.

Yes. Quality inspection, object detection and content moderation, scoped around whatever accuracy and speed your use case genuinely needs, not the bar a demo happens to clear.

We monitor API usage and model costs in production and design for efficiency from the start, caching, smaller models where they'll do, request batching, so costs stay predictable as usage grows instead of spiking alongside it.

Every project includes a handover, documentation and a warranty window for fixes. Most clients move onto an ongoing support plan covering drift, accuracy and cost, with most issues resolved overnight your time, and we're often brought back to extend the feature as new data and use cases come in.

Yes, and it's often the smartest first step. We assess where AI would genuinely move the needle for your business, what data you'd need, and a realistic cost and timeline, before any development begins.