How much does it cost to add an AI feature to our product?+
Cost depends on the use case, model and infrastructure choices, data and integration work, and the reliability bar for production. We scope in phases so you can validate value with a prototype before committing to the full feature.
Can you take our AI prototype to production?+
Yes — turning a promising prototype into a reliable, maintainable feature with evaluation, monitoring, caching, and fallbacks is exactly what we do.
Which AI models do you use — OpenAI, Anthropic, or Google?+
We are model-agnostic and choose per use case across OpenAI, Anthropic, Google, and open models, balancing quality, latency, cost, and data requirements — and design so you can switch as the landscape changes.
How do you keep AI features reliable and prevent hallucinations?+
With retrieval grounding, evaluation suites, guardrails, caching, and fallbacks plus production monitoring — so behavior is predictable rather than dependent 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 and iteration follow. We ship incrementally so you see progress early.
