Question 1

How much does an AI project cost?

Accepted Answer

Most projects land between $5,000 and $50,000 depending on complexity, integrations and timeline. A focused chatbot or automation starts lower; a full AI product with RAG and custom models sits higher. We scope everything in writing before a contract is signed.

Question 2

How do you scope a project?

Accepted Answer

We start with a 20-minute call to understand the problem, then follow up with a written scope, timeline and fixed-price proposal. No open-ended billing. Every deliverable, milestone and handoff is defined before we write a line of code.

Question 3

Do you offer retainers?

Accepted Answer

Yes. For teams that want ongoing optimization, monitoring and new feature sprints we offer monthly retainers. Most clients start with a fixed build, then move to a retainer once the system is live and stable.

Question 4

How fast can you deliver?

Accepted Answer

A focused AI agent or automation ships in 2–4 weeks. Integrations and RAG pipelines usually take 4–6 weeks. Full AI products run 8–12 weeks. We work in weekly milestones so you see progress continuously, not just at the end.

Question 5

What does the process look like?

Accepted Answer

Discovery and scope first. Then architecture, design and a clear milestone plan. Build happens in weekly sprints with demos. We test, evaluate and harden before launch. Finally we hand over docs, monitoring and a runbook your team can use.

Question 6

Do I need technical knowledge?

Accepted Answer

No. We handle the architecture, models, infrastructure and code. You bring the business context and the success criteria. We translate that into a technical plan and keep you informed in plain language, not jargon.

Question 7

Which AI models do you use?

Accepted Answer

Claude, GPT / Codex, Gemini and open-source models like Llama, Mistral and Qwen. We pick the model that fits your accuracy, latency and cost requirements — not the one with the most hype.

Question 8

Is my data secure?

Accepted Answer

Yes. We use private model endpoints, encrypted storage and SOC2-aligned providers. Your data is never used to train third-party models. On-prem and VPC deployments are available for regulated industries.

Question 9

Do you maintain what you build?

Accepted Answer

Yes. Every project includes 30 days of post-launch support. After that you can move to a monthly retainer for monitoring, updates and new features. We also train your team to own the system if you prefer to run it in-house.

Question 10

Can you work with our existing stack?

Accepted Answer

Absolutely. We integrate with HubSpot, Salesforce, Zendesk, Notion, Airtable, Slack, Teams, Supabase, Vercel and most modern APIs. We adapt to your stack rather than forcing you into ours.

Answers, before the first call.

Pricing & Scope

Timeline & Process

Tech & Support

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