Generative AI is more than a chat window bolted onto an app. We build content generation, summarization, code assistance, and creative tooling that's grounded in your data and shipped as a real product feature — not a demo.
We pick the model that fits the task and budget — OpenAI, Claude, or open-source — instead of forcing one vendor everywhere.
We design for the failure cases and edge inputs real users hit, not just the happy path that looks good in a pitch.
Data handling, retention, and provider choice are decided with your compliance requirements in mind from day one.
GenAI features are built to slot into your current product and infrastructure, not live as a separate bolt-on tool.
Defining exactly what the GenAI feature should generate, summarize, or assist with.
Choosing and wiring up OpenAI, Claude, or open-source models to fit the task.
Structuring prompts and outputs so results are consistent and usable in production.
Handling sensitive data responsibly across providers and storage.
Shipping the feature inside your existing app, not as a standalone demo.
Content generation, document summarization, code assistance, image and copy generation, and other features that create or transform content as part of your product — not just conversational interfaces.
Yes, all three. We choose the model based on the task, cost, and data requirements rather than defaulting to a single provider for everything.
We design the architecture around your compliance needs — deciding what data can leave your systems, how it's retained, and which providers are acceptable before any integration begins.
Yes, that's the most common engagement — adding a generation, summarization, or assistance feature into a product you already have, using your existing data and infrastructure.
Tell us what you want to generate or automate — we'll scope the engineering work and a fixed estimate.