Question 1

What is Brixloop?

Accepted Answer

We’re an AI-native product studio. We design and build real AI systems for funded startups: video pipelines, SaaS products, automation workflows, and larger platforms. Every project is fixed scope and fixed price.

Question 2

Who does Brixloop work with?

Accepted Answer

Mostly funded startups, technical founders, and growth-stage teams in the US, UAE, and India. You usually come to us when you need something in production soon, and you care about quality.

Question 3

How is Brixloop different from a freelance developer or large agency?

Accepted Answer

We’re not a loose freelancer or a big agency with layers of account managers. You get senior engineers who’ve shipped AI products before, a clear written spec, and a fixed price. No open-ended hourly billing.

Question 4

Do you only build AI products, or can you integrate AI into existing software?

Accepted Answer

Both. We can build something new from scratch or add an AI layer to what you already have: document processing, dashboards, workflows, or API-connected agents. Integrations usually take 2–4 weeks.

Question 5

What industries have you shipped in?

Accepted Answer

EdTech, LegalTech, HR and payroll, real estate, mobility, design marketplaces, and marketing automation. Check our case studies for examples like Tiny Tales Videos, Lexvault, and ES Rentals.

Question 6

What AI development services does Brixloop offer?

Accepted Answer

Four main areas: generative video and media, full-stack AI SaaS, automation and agents, and enterprise-style platforms with heavy data and integrations. We’ll point you to the right one on a discovery call.

Question 7

Can you build generative video and media pipelines?

Accepted Answer

Yes, and it’s one of our strongest areas. We’ve built personalised kids video with face insertion, bulk Excel-to-video tools, FFmpeg pipelines, and queues that survive traffic spikes. See Tiny Tales Videos for a real example.

Question 8

Do you build LLM-powered SaaS and document AI tools?

Accepted Answer

Yes. Think contract workspaces, clause analysis, AI-assisted drafting, and document extraction. We build for real review workflows, not “chat in a box.”

Question 9

Can you build agentic AI workflows and LangGraph systems?

Accepted Answer

Yes. Multi-step agents with clear state, checkpoints, human approval steps, and logging. We’ve written about what breaks in production with LangGraph if you want the technical detail.

Question 10

Do you handle design and UX, or only engineering?

Accepted Answer

We ship the full product experience: UX, UI, and front-end. Design is part of the build, not a separate handoff to another agency.

Question 11

Can you work with our existing team or codebase?

Accepted Answer

Yes. We can plug into your repo, your CI/CD, and your rituals, then hand everything off so your team owns it. We’re comfortable with Next.js, Python, AWS, and the usual LLM providers.

Question 12

How much does an AI MVP build cost?

Accepted Answer

Most AI MVPs start around $10,000 for a core system and dashboard, delivered in about 4–6 weeks. Bigger full-product builds start around $20,000. We confirm the number after a discovery call and a written spec.

Question 13

Are Brixloop engagements fixed-price?

Accepted Answer

Yes. You get a defined scope, timeline, and price before we write code. We don’t do hourly billing or open-ended retainers.

Question 14

What engagement types do you offer?

Accepted Answer

AI MVP (4–6 weeks, from $10k), full product build (8–12 weeks, from $20k), AI integration into an existing app (2–4 weeks, from $6k), and larger enterprise platforms (10–16 weeks, from $25k).

Question 15

What is included in a typical MVP build?

Accepted Answer

The core AI workflow, an operator dashboard, production deployment, docs, and handoff. Everything is listed in the spec upfront, including how we’ll know it’s done.

Question 16

Do you offer ongoing maintenance or support retainers?

Accepted Answer

Our default is ship and hand off. You own the code. We can scope a follow-on phase for v2, but we don’t sell endless maintenance contracts. Many teams come back once the MVP works.

Question 17

When is payment due?

Accepted Answer

It’s in the proposal. Usually a deposit to start, then milestone payments tied to deliverables. We keep it simple so both sides know what triggers each payment.

Question 18

How long does a typical AI product build take?

Accepted Answer

MVPs: 4–6 weeks. Full products: 8–12 weeks. Integrations: 2–4 weeks. Big platforms: 10–16 weeks. Exact timing depends on scope.

Question 19

What happens on the first discovery call?

Accepted Answer

A 30-minute call to understand what you’re building, who it’s for, what it plugs into, and when you need it live. Our “Scope an AI Product in 30 Minutes” post is a good prep guide if you want a head start.

Question 20

How quickly do I get a proposal after inquiry?

Accepted Answer

Within about three business days after the discovery call. You’ll get a written plan, timeline, and fixed price. If the scope isn’t ready yet, we’ll tell you what’s missing instead of guessing.

Question 21

How do you communicate during a build?

Accepted Answer

Weekly check-ins, a shared board in Linear, and async updates in whatever channel you prefer. You’ll always know what shipped and what’s next. No black box.

Question 22

What does “done” look like?

Accepted Answer

Software running in your environment, with docs and a proper handoff. Not a demo on someone’s laptop. We agree on acceptance criteria in the spec before we start.

Question 23

Can you hit a hard launch date for a fundraise or pilot?

Accepted Answer

If the date is realistic for the scope, yes. If it isn’t, we’ll say so early and help you decide what to cut or defer.

Question 24

Which LLM providers and models do you use?

Accepted Answer

Whatever fits your constraints: OpenAI, Anthropic, open models, and specialist APIs for voice, video, or embeddings. We add fallbacks and cost controls when traffic or margin matters.

Question 25

Do you fine-tune models or use RAG?

Accepted Answer

Whatever the problem needs. Often that’s RAG, good prompts, and evals rather than fine-tuning. We’ll recommend the simplest thing that works in production.

Question 26

How do you handle AI evaluation and guardrails?

Accepted Answer

Test sets on critical paths, output checks, human review where stakes are high, and logging you can actually debug. Guardrails are part of the product, not a phase we tack on at the end.

Question 27

What cloud and infrastructure do you deploy on?

Accepted Answer

Mostly AWS: queues, containers, S3, managed databases. Frontends often on Vercel. We pick based on your traffic, compliance needs, and what your team already uses.

Question 28

Will I own the code and intellectual property?

Accepted Answer

Yes. The codebase is yours. We hand over repos, env setup notes, and deployment runbooks. You manage your own API keys and vendor accounts.

Question 29

Can you integrate with our CRM, Slack, or internal APIs?

Accepted Answer

Yes. Integrations are where a lot of MVPs slip. We list every data source, auth method, and webhook in discovery so the quote reflects real work, not a happy-path demo.

Question 30

How does Brixloop handle client data and security?

Accepted Answer

Least-privilege access, encryption in transit and at rest where it applies, and separate environments per client. More detail on our Security page.

Question 31

Can you work with PII or sensitive documents?

Accepted Answer

Yes, when we scope for it. We can design retention, access controls, and processing to match your compliance needs, including GDPR-style requirements or tighter legal/HR workflows.

Question 32

Do you sign NDAs and DPAs?

Accepted Answer

Yes. NDAs before deep scoping, and DPAs when your legal team needs them. Mention compliance in your inquiry so we bake it into the plan.

Question 33

Where is data processed? US, EU, or India?

Accepted Answer

That’s a scoping call. We can deploy in US, EU, or India regions depending on where your users are and what compliance you need.

Question 34

How do I start a project with Brixloop?

Accepted Answer

Fill out the inquiry form with your idea, timeline, and rough budget. We’ll review it and book a discovery call if it looks like a fit. More detail on workflow and integrations means a faster quote.

Question 35

What should I prepare before the discovery call?

Accepted Answer

One sentence on the user outcome, a rough flow from trigger to output, known integrations, a target date, and a budget range. You don’t need a full PRD.

Question 36

What types of projects are not a fit?

Accepted Answer

Vague “let’s explore AI” projects with no workflow, 24/7 on-call retainers, pure staff aug without scope, or ideas with no clear user. We’re best when you’re ready to ship something specific.

Question 37

Do you work with non-technical founders?

Accepted Answer

All the time. Many clients are domain experts, not engineers. We translate the business goal into a build plan and keep you in the loop without making you manage tickets.

Question 38

What time zones do you work in?

Accepted Answer

We overlap with US, UAE, and India hours and schedule weekly syncs in your timezone. Async updates are documented so time zones don’t block decisions.

Question 39

What happens after the product ships?

Accepted Answer

Production deploy, documentation, and a handoff walkthrough with your team. We cover architecture, ops basics, and how to extend the system. You’re not stuck calling us for every change.

Question 40

Can Brixloop help with a v2 or new feature phase?

Accepted Answer

Yes. Lots of clients come back for phase two once the MVP proves out. Same process: written spec, fixed price, clear timeline.

Question 41

Do you provide training for our internal team?

Accepted Answer

Handoff includes walkthroughs and docs for your engineers and operators. If your team is taking over active dev, we can scope deeper training too.

Question 42

What if requirements change mid-build?

Accepted Answer

Small clarifications within the original spec are normal. Bigger changes go through a change request: we explain impact on time and cost, and you approve before we proceed.

Frequently asked questions

About Brixloop

Services & capabilities

Pricing & engagements

Process & timeline

Technical & AI stack

Security & compliance

Working together

After launch