Frequently asked questions
Straight answers about working with an AI-first product studio. Prefer to just ask? Talk to the studio live — it answers these instantly.
About Snakescript
Who is Snakescript?
An AI-first product studio: 20–25 senior engineers, 10+ years each, who design, build and ship complete AI products — strategy to production. We've shipped three of our own (Chat, Voice, Persona), so your build runs on a process we've already proven — not experiments on your budget.
Why AI-first?
Most teams bolt AI onto a finished product. We start there: the model shapes the architecture, the data and the UX from day one. It's why our builds ship in weeks, not quarters — and why we run three AI products of our own. You're hiring people who live in this stack daily.
What we build
What do you build?
Complete AI products, end to end: LLM apps, voice agents, RAG over your data, autonomous agents, web & mobile platforms, automation — plus the cloud and MLOps to run them in production. One senior team from first whiteboard to deploy. You bring the problem; we ship the product that solves it.
Can you build a chatbot or RAG assistant?
Yes — it's both a service and our own product. Snakescript Chat does grounded conversational AI: retrieval over your documents, citations and memory. A real RAG pipeline, never a thin wrapper around a model. We shipped exactly this for Accmcare.
Can you do voice AI?
Voice is literally our product. Snakescript Voice does sub-300ms streaming speech, neural TTS with cloning, and autonomous agents that dial, converse and summarise calls. We're not gluing someone's demo together — we ship speech engines we built ourselves. Want to hear it live on a 20-minute call?
What about AI agents?
Our favourite build. Agents that perceive, plan, act and learn — orchestrating tools and APIs through multi-step work with no human in the loop. One of ours runs a real-estate pipeline solo and cut manual work 80%+. Tell us which workflow you'd hand over; we'll tell you if an agent can own it.
Do you build mobile apps?
Yes — native-quality iOS and Android with React Native, plus fully native where it matters. Our FinTech banking app has processed $50M+, and our Persona product ships as a mobile app too.
Can you build a web platform?
End to end — marketing sites, SaaS platforms, dashboards, admin panels and the APIs behind them. Built with Next.js and React on top of serious Python backends, deployed and monitored in production.
Do you do UI/UX design?
Design isn't a separate invoice or a separate team — it ships inside the build. Flows, interface systems and clickable prototypes, drawn by people who also write the code, so nothing gets lost in a handoff. It lands in the same sprint as the engineering.
Do you automate workflows with n8n or Make.com?
Our WhatsApp media pipeline runs entirely on Make.com, in production — so yes. We build workflow automations on n8n and Make.com, then drop to custom code the moment the platforms run out of road. Tell us the manual process eating your week.
Can you add AI to my existing product?
Yes — and we start by finding where AI actually pays off in your product, not bolting it on everywhere. Then we integrate it properly: grounded on your data, evaluated, cost-monitored and inside your privacy rules. Most products only need it in one or two sharp places.
Do you do product strategy and scoping?
Every good build starts here. We turn a fuzzy idea into a scoped, buildable plan — the problem, the users, the success metric, the architecture and a real estimate you can take to your board. It's the difference between building the right thing and just building something.
Can you build an MVP?
That's our AI Sprint: 2–4 weeks to a working proof of concept — fast, fixed-price, low-risk. Validate the idea with something real before committing to the full build.
Our products
What products have you built?
Three, in production, all AI: Chat (grounded RAG with citations), Voice (sub-300ms realtime speech) and Persona (branded AI characters, web + native mobile). They're proof, not side projects — every client build reuses architecture we've already battle-tested on ourselves.
What is Snakescript Persona?
Persona gives a brand its own AI character — a face, a cloned voice and real memory — shipped to web and native mobile apps your users actually keep on their phone. It's one of our three in-house products, so the tech is proven, not a pitch.
Work & results
Show me your work
Shipped, measured, in production: an AI agent that cut 80%+ of manual real-estate ops, a banking app past $50M processed, healthcare serving 200+ providers, enterprise RAG answering instantly. Tap any case study for the full story — problem, build, stack, results.
How many projects have you done?
Here's the published portfolio — seven full case studies across AI automation, RAG, fintech, healthcare and e-commerce. Every card opens the complete story: problem, build, stack and results.
Show me your AI & automation projects
AI and automation are where we live. The Zillow build alone cut manual work by 80%+ — and the RAG assistant answers from enterprise knowledge instantly.
Show me your healthcare work
Healthcare is a core vertical — secure, compliant platforms serving 200+ providers, plus an enterprise RAG knowledge assistant for a healthcare support organisation.
Show me your fintech work
Our FinTech mobile banking build has processed $50M+ in transactions — security, compliance and real-money reliability included.
Show me your e-commerce work
Our e-commerce platform build handles 100,000+ products and 10,000+ concurrent users — $5M+ processed in six months, with conversions up 40%.
What results have you delivered?
We measure builds by outcomes, not hours. A few numbers from shipped work:
Do you have client testimonials?
Teams keep coming back. A few words from people we've built for:
Who are your clients?
Startups to regulated enterprises — including TechRetail, MedCare Solutions, DigitalBank Pro and Accmcare — across e-commerce, healthcare, fintech and real estate. And we build on best-in-class AI tooling like Hugging Face.
The team
How senior is your team?
Senior only: 20–25 engineers, 10+ years each, AI-native. No juniors learning on your invoice, no bait-and-switch — the engineers who scope your build on the first call are the ones who ship it. That's why our estimates hold.
How big is the team?
20–25 engineers in total — and deliberately lean per project: with AI doing the heavy lifting, one or two senior engineers usually ship a whole build, depending on requirements.
Where are you located?
We're based in India and work Monday–Friday, IST — with deliberate overlap windows for US and EU clients, so demos and calls land in your day too.
Who will actually work on my project?
The same senior engineers you talk to in scoping. We don't sell you seniors and staff juniors — the team that estimates the work is the team that ships it.
Process & engagement
How do you work?
Five steps, no theatre. We move fast because senior people make fewer wrong turns — and AI compresses the work at every stage.
How do we get started?
Three steps and you're building: a free 20-minute call with a senior engineer, a short scoping pass with a real estimate, then the sprint starts.
What do you need from me to start?
Just the problem and an hour of your time. A spec helps but isn't required — turning fuzzy ideas into buildable plans is literally our scoping service.
What does your project lifecycle look like?
Every project moves through the same disciplined phases — discovery, planning, development, testing, deployment — each with clear deliverables. We've published the whole thing.
How do you communicate during a project?
You see the product, not status decks: a working demo every week, a shared channel with the actual engineers, and one point of contact who's technical.
Do you provide support after launch?
Yes — launch is the start, not the end. We run support and maintenance retainers, monitor what we ship, and the same team that built it stays on it.
Can you take over an existing codebase?
Inherited a half-built app or lost your developer? We do this often. We audit first and tell you honestly what's salvageable, stabilise what's shaky, then extend on a base we trust — no blame, no rewrite for the sake of it, just a product that moves again.
Can you work with our in-house team?
Yes — that's our AI Team model: senior engineers embedded with your people, monthly, AI-first. Your roadmap, our velocity.
Pricing
What does it cost?
Three clean ways in, sized to where you are: a fixed 2–4-week AI Sprint to validate, a Fixed Build with committed price and timeline, or a monthly embedded AI Team. No bloated retainers, no juniors padding the bill — 20 minutes with an engineer tells you which fits and roughly what it costs.
Do you do fixed-price projects?
Yes — once scope is clear, we'll commit to a fixed price and timeline and hold it. For evolving scope, the monthly AI Team model fits better. Scoping tells us which one you need.
What's the minimum engagement?
The AI Sprint is the smallest way in: 2–4 weeks, fixed price, ending in a working proof of concept. If the idea needs less than that, we'll tell you on the call — for free.
How do payments work?
An upfront payment starts the work, then milestone-based payments as working software lands. Exact terms are agreed during scoping, once we understand your requirements.
Speed & timelines
How fast can you ship?
Working proof of concept in 2–4 weeks. Production-ready MVP in 6–10. Scaled product in 3–4 months. The trick is boring: senior engineers plus AI tooling, one small team, no handoffs. Have a deadline in mind? Tell us — we'll be straight about whether it's hittable.
How soon can you start?
Usually within one to two weeks of scoping — sometimes faster for AI Sprints. The 20-minute call is the quickest way to get a real date.
Trust & guarantees
Do you sign NDAs?
Yes, happily — yours or ours, before you share anything sensitive. Confidentiality is table stakes for the industries we work in.
Who owns the code and IP?
You do — all of it. Code, designs, infrastructure, documentation: full IP transfers to you on final payment. No lock-in, no licensing games.
How do you handle data privacy and GDPR?
Privacy is engineered in, not promised: GDPR-compliant data handling (consent, access, deletion and export built into our own systems), least-privilege access, and AI that runs within your data boundaries.
What if I'm not happy with the work?
You'll know within a week, not at the end — weekly demos surface problems early, milestones need your acceptance before payment, and you can stop at any milestone and keep everything built so far.
Why you instead of freelancers or a big agency?
Freelancers cap you at one person's ceiling. Big agencies sell you seniors, then staff juniors. We're the third option: a small senior AI-first team where the people who scope your product are the people who ship it — and you own every line of code at the end.
Do you work with startups?
Both ends — early-stage founders validating with an AI Sprint, and enterprises like healthcare networks and banks that need compliance-grade builds. The model flexes; the senior bar doesn't.
How do you ensure quality?
Senior-only teams, code review on everything, automated tests and CI from day one, and AI-assisted review that catches what humans miss. Production isn't a milestone — it's the habit.
Is my idea safe with you?
Yes. We sign NDAs before you share anything, your IP is contractually yours, and frankly — our business is building products for clients, not competing with them.
Technology
What is your tech stack?
AI at the core, backed by serious engineering. Here's the stack we ship with.
Which AI models do you use?
The best model for the job, not the fashionable one — GPT, Claude, Gemini or open-source (Llama, Whisper) depending on your quality, latency, cost and privacy needs. We benchmark on your actual task before committing.
How do you keep AI costs under control?
Cost is an engineering requirement, not a surprise: right-sized models, caching, routing cheap queries away from expensive calls, and per-feature cost monitoring — so your unit economics survive success.
Where do you host?
Wherever your requirements point — AWS by default, GCP or Azure when you're already there, and private/VPC deployments when data can't leave your walls. Dockerised and reproducible either way.
Industries
Which industries do you work in?
We've shipped across real estate, fintech, healthcare, e-commerce and SaaS — anywhere AI turns manual work into automatic outcomes.
Didn't find your question?