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Build smarter products faster. We embed AI agents, workflows, and assistants directly into your app so your startup does more with less.
Bolted-on AI feels like an afterthought, because it is. We build AI features that are native to your product's core workflows, not a widget in the corner.
AI strategy starts with use cases, not technology. We help you identify exactly where AI creates the most value in your product then we build it.
Prompt engineering, fine-tuning, and model selection require deep expertise. We've built production AI systems we know what works and what doesn't.
The window to differentiate with AI is narrowing fast. We move quickly from use case definition to production-ready AI feature in weeks, not months.
Every engagement starts with identifying the right use case.
Here are the most common ones we build.
Automatic meeting notes, clinical documentation, call summaries, AI that captures and organises information so your users don't have to.
Autonomous agents that take actions, make decisions, and complete tasks on behalf of your users. Inside your product.
Search that understands intent, not just keywords, Built on vector embeddings and retrieval-augmented generation (RAG).
Context-aware chat interfaces and copilots that help users get more out of your product, trained on your data, not the internet.
AI that triggers actions, routes tasks, and automates repetitive workflows reducing manual work across your product.
Intelligent dashboards and insights that surface what matters automatically, without your users having to dig for it.
Every project is different, the number of platforms, data complexity, and real-time requirements all affect scope. We’ll give you a clear fixed-price proposal after the discovery call.
Engagement
Custom
Flexible payment plans
Scope and pricing depend on use case complexity, model selection, data requirements, and integration depth. We'll give you a clear fixed-price proposal after the discovery call.
Ready to build AI into your product?
Book a free discovery call and we'll map out exactly what'll move the needle the use cases, the models, the architecture.
We start with where AI creates real value not the model.
From discovery call to a shipping AI feature in weeks, not quarters.
Full handover with docs, evals, and monitoring no lock-in.
Eval frameworks tied to business metrics, not vanity benchmarks.
