Question 1

What do you build?

Accepted Answer

We build AI agents, CRMs, MVPs, custom apps, and production software tailored to your workflows.

Question 2

What kinds of AI systems do you build?

Accepted Answer

We build AI agents, internal copilots, document intelligence workflows, support automation, retrieval-augmented generation (RAG) systems, generative AI integrations, and data-connected LLM applications.

Question 3

Do you build both AI and traditional custom software?

Accepted Answer

Yes. Ryzon delivers both AI development (agents, LLM apps, RAG, generative AI integrations) and custom software engineering (MVPs, SaaS platforms, internal tools, web applications). The same senior team handles both, so AI features ship inside production-ready software.

Question 4

Which LLMs and AI platforms do you work with?

Accepted Answer

OpenAI (GPT-4, GPT-4o), Anthropic Claude, Google Vertex AI, Amazon Bedrock, Microsoft Azure OpenAI, and open-source models (Llama, Mistral, Qwen). We pick the model that fits the use case, latency budget, and cost target.

Question 5

How long does an MVP take?

Accepted Answer

Most MVPs ship in weeks, not months. We start with a short discovery sprint to define scope and then build in focused sprints with weekly demos.

Question 6

How do you price projects?

Accepted Answer

We offer fixed-scope MVP builds and monthly engagement models for ongoing product development. After discovery, we share a clear proposal and timeline.

Question 7

Can you work with an existing product?

Accepted Answer

Yes. We can audit your current product, add AI features, improve performance, connect new systems, or rebuild fragile parts without disrupting users.

Question 8

Who owns the IP and code?

Accepted Answer

You do. All code and IP are yours at the end of the engagement, with clean documentation and handoff.

Question 9

What does collaboration look like?

Accepted Answer

Weekly demos, a shared roadmap, direct access to the delivery team, and clear decisions around scope, integrations, and rollout.

Question 10

Do you provide ongoing support?

Accepted Answer

Yes. We can stay on to run the product, improve reliability, and ship new features as you scale.

Custom AIDevelopmentFor Production Teams

AI Agents Do The Repetitive Work.
Your Team Handles The High-Leverage Decisions.

AI Intake and Qualification

Context-Aware Routing

Automated Requirement Follow-Ups

Human-in-the-Loop Escalation

Production AI Systems Built Around Your Workflows