How much does it cost to build an AI product or feature?+
Cost depends on the use case, model and infrastructure choices, data and integration work, and the reliability bar for production. We scope a build in phases so you can validate value early before committing to the full feature.
Can you take our AI prototype to production?+
Yes — turning a promising prototype into a reliable, maintainable product with evaluation, monitoring, and fallbacks is exactly what we do, rather than leaving you with a demo that breaks under real usage.
Which AI models do you use — OpenAI, Anthropic, or Google?+
We are model-agnostic and pick per use case across OpenAI, Anthropic, Google, and open models, balancing quality, latency, cost, and data requirements — and we design so you can switch as the landscape changes.
How do you make AI features reliable and prevent hallucinations?+
With retrieval grounding, evaluation suites, guardrails, caching, and fallbacks — plus monitoring in production — so the feature behaves predictably instead of depending on a single prompt.
How long does it take to build an AI feature?+
A focused, well-defined feature can reach a working integrated build in a few weeks; production hardening, evaluation, and iteration follow. We ship incrementally so you see progress early.
