Question 1

How long does AI product development typically take?

Accepted Answer

A focused AI prototype or MVP can be delivered in 2–4 weeks. A full production SaaS product generally takes 6–12 weeks depending on complexity, data requirements, and integration scope.

Question 2

What AI models and frameworks do you work with?

Accepted Answer

We work across the full AI stack — OpenAI GPT-4/o series, open-source LLMs (LLaMA, Mistral), vector databases (Pinecone, Qdrant), and custom PyTorch/TensorFlow models. We always recommend the right tool for your specific use case.

Question 3

Can you integrate AI into our existing platform?

Accepted Answer

Absolutely. We specialize in AI integrations via REST APIs, webhooks, and embedded SDKs that fit cleanly into your existing product architecture — without disrupting what already works.

Question 4

How do you handle data security and privacy?

Accepted Answer

Data security is foundational to every build. We support on-premise LLM deployments, encrypted data pipelines, SOC 2 compatible architectures, and GDPR-compliant data workflows as required.

Question 5

Do you offer post-launch support and model maintenance?

Accepted Answer

Yes. Every engagement includes post-launch support. For long-term partnerships, we offer continuous model monitoring, retraining pipelines, and performance optimization on an ongoing basis.

Question 6

What makes Dexcode different from a typical dev agency?

Accepted Answer

We are AI-first. Every product we build is designed around intelligent systems — not bolted-on AI features. We combine research-grade AI thinking with production-grade engineering, focused on measurable business outcomes.