Question 1

What is Brixloop?

Accepted Answer

A small, technical studio that builds AI-native products for startups and growth-stage companies, and runs an in-house research lab alongside client work, not instead of it. Every engagement is fixed-scope and fixed-price.

Question 2

Who does Brixloop work with?

Accepted Answer

Startups and growth-stage teams worldwide: operators in legal, real estate, healthcare, media, and industrial ops. We’ve already shipped for clients in the US, UAE, and India. You usually come to us when you need a system in production, not a wrapper.

Question 3

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

Accepted Answer

Most AI shops are either a volume agency (spec in, code out) or a thin wrapper over someone else’s API. Research-first teams often stop before production. We sit in the middle: research discipline applied to systems that actually ship, with design conviction, at a fixed price and a fixed timeline.

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. That usually lands as an MVP, full product, or custom engagement after discovery.

Question 5

What industries have you shipped in?

Accepted Answer

Legal, fintech, travel and hospitality, real estate, media and content, creator operations, healthcare, cybersecurity, quant finance, industrial operations, productivity tooling, and workflow automation.

Question 6

What AI development services does Brixloop offer?

Accepted Answer

Four focused areas: tech consultancy and systems, AI SaaS products, AI research and engineering, and brand design. One capability cluster per engagement. 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 the AI Personalised Kids Video Platform for a real example.

Question 8

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

Accepted Answer

Yes. Think contract workspaces with line-cited answers, finance document RAG, diligence intelligence, and knowledge graphs. We build for real review workflows, not “chat in a box.” LexVault and the Vellum finance RAG are live examples.

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. The Multi-Agent Debate Platform is a live LangGraph system; Visual Workflow Automation is the ops version. 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

Yes, and Design is its own service area, not a skin at the end. Brand identity systems, real-estate kits, healthcare and wellness identity, and SaaS brand systems that extend into product UI. Product UX still ships with every build.

Question 11

Can you deploy models on infra we already run?

Accepted Answer

Yes. Self-hosted small language models belong on the Kubernetes, GPUs, and air-gap you already pay for. Classify, extract, and route in-network instead of opening a new AI island. Frontier APIs stay optional for genuinely general jobs. We wrote this up as The Age of Self-Hosted SLMs on Infra You Already Have.

Question 12

How much does an AI MVP build cost?

Accepted Answer

AI MVPs are ₹2,00,000+ for a core system and dashboard, typically 2+ weeks. Full product builds are ₹3,00,000+ (3+ weeks). Brand design is ₹50,000+. Enterprise platforms are ₹5,00,000+ (4+ weeks). Custom work is quoted after discovery. We confirm the number after a discovery call and a written spec.

Question 13

Are Brixloop engagements fixed-price?

Accepted Answer

Yes for the build. You get a defined scope, timeline, and price before we write code. No hourly billing during the build phase. After launch, most clients move to a monthly maintenance retainer, quoted separately, not an open-ended hourly contract.

Question 14

What engagement types do you offer?

Accepted Answer

Brand design (1+ week, ₹50,000+), AI MVP (2+ weeks, ₹2,00,000+), full product build (3+ weeks, ₹3,00,000+), enterprise platforms (4+ weeks, ₹5,00,000+), a custom / other path when the brief does not fit a standard engagement (quoted after discovery), and a monthly maintenance retainer after launch (quoted per system). Details for each engagement are on /services.

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

Yes. Once a system ships, most clients move to a monthly maintenance retainer. We built it, we know it best, and AI systems need upkeep most software doesn’t: model updates, prompt/eval drift, provider API changes, usage scaling. You still own the code. The retainer is quoted after launch. It isn’t a lock-in tactic. It’s the honest cost of keeping an AI-native system healthy.

Question 17

When is payment due?

Accepted Answer

Standard terms: 50% upfront to start, 30% at the agreed milestone, and 20% on delivery and handoff. The exact milestone is named in the proposal so both sides know what triggers each payment.

Question 18

How long does a typical AI product build take?

Accepted Answer

Brand design: 1+ week. MVPs: 2+ weeks. Full products: 3+ weeks. Enterprise platforms: 4+ weeks. Custom engagements are scoped after discovery. 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. For documents that cannot leave the building, we put small models on your existing cluster rather than a public API.

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 work with teams worldwide and schedule weekly syncs in your timezone. We overlap US, UAE, and India hours from the team side. 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 own the code. Most clients then move to a monthly maintenance retainer for model updates, eval drift, provider changes, and ongoing feature work.

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.Answered before you inquire.

8 topics. 42 answers.

About Brixloop

Services & capabilities

Pricing & engagements

Process & timeline

Technical & AI stack

Security & compliance

Working together

After launch

Search or read by section

About Brixloop

Services & capabilities

Pricing & engagements

Process & timeline

Technical & AI stack

Security & compliance

Working together

After launch

Still have a question?

Frequently asked.Answered before you inquire.

8 topics. 42 answers.

About Brixloop

Services & capabilities

Pricing & engagements

Process & timeline

Technical & AI stack

Security & compliance

Working together

After launch

Search or read by section

About Brixloop

01What is Brixloop?

02Who does Brixloop work with?

03How is Brixloop different from a freelance developer or large agency?

04Do you only build AI products, or can you integrate AI into existing software?

05What industries have you shipped in?

Services & capabilities

01What AI development services does Brixloop offer?

02Can you build generative video and media pipelines?

03Do you build LLM-powered SaaS and document AI tools?

04Can you build agentic AI workflows and LangGraph systems?

05Do you handle design and UX, or only engineering?

06Can you deploy models on infra we already run?

Pricing & engagements

01How much does an AI MVP build cost?

02Are Brixloop engagements fixed-price?

03What engagement types do you offer?

04What is included in a typical MVP build?

05Do you offer ongoing maintenance or support retainers?

06When is payment due?

Process & timeline

01How long does a typical AI product build take?

02What happens on the first discovery call?

03How quickly do I get a proposal after inquiry?

04How do you communicate during a build?

05What does “done” look like?

06Can you hit a hard launch date for a fundraise or pilot?

Technical & AI stack

01Which LLM providers and models do you use?

02Do you fine-tune models or use RAG?

03How do you handle AI evaluation and guardrails?

04What cloud and infrastructure do you deploy on?

05Will I own the code and intellectual property?

06Can you integrate with our CRM, Slack, or internal APIs?

Security & compliance

01How does Brixloop handle client data and security?

02Can you work with PII or sensitive documents?

03Do you sign NDAs and DPAs?

04Where is data processed? US, EU, or India?

Working together

01How do I start a project with Brixloop?

02What should I prepare before the discovery call?

03What types of projects are not a fit?

04Do you work with non-technical founders?

05What time zones do you work in?

After launch

01What happens after the product ships?

02Can Brixloop help with a v2 or new feature phase?

03Do you provide training for our internal team?

04What if requirements change mid-build?

Still have a question?