ChetnaAI Private Limited · Noida · custom + own products
Work we take on
We are first a product company — AdvocateAI, ShaadiShubhMuhurat, LocalRush, AIRoboVein, Mute Marker. When bandwidth and fit align, we take client work the same way: named engineers, written scope, releases you can actually run.
We do not publish inflated "500+ projects" stats. If you need a vendor deck full of buzzwords and anonymous offshore devs, we are a bad match. If you want the same discipline we use on our own apps, read the four buckets below and write to Contact with a concrete workflow.
Detailed industry + product mapping lives on the Industries page. Delivery phases are summarized on the home page under How we work.
How an engagement usually runs
Not a gating certificate — just the order that keeps surprises smaller.
Problem and constraints
You explain who the user is, what "done" means, and what is non-negotiable (compliance, budget, timeline). We ask blunt questions. If we are the wrong shop, we say so early.
Slice you can try
Before a year-long roadmap, we aim for something demonstrable — a thin vertical slice or prototype — so nobody funds a black box.
Build in phases
Features land in milestones with something deployable between them. Stack choices are documented so you are not locked to one hero developer forever.
Launch, then maintain
Releases, monitoring, fixes. Support expectations are spelled out — we are not a 24/7 NOC pretending every ticket is P0 unless you pay for that reality.
Four ways we help (they overlap)
Pick the heading that is closest — the first email can still be messy; we sort the bucket together.
AI / ML inside a product
Models and features where they earn their cost: search, classification, assistants, document helpers — wired to your data and review flow, not a stray chatbot widget.
Typically includes
- Grounding and evaluation before "just use GPT"
- APIs and batch jobs that fit how you already ship
- Privacy and retention discussed upfront, not after launch
SaaS and product builds
Web and mobile apps, auth, billing when needed, admin tools, tests, and release hygiene. Same patterns we use on LocalRush and AdvocateAI-class products.
Typically includes
- Multi-tenant only when your model actually needs it
- Staging, migrations, and rollback thinking — not "works on my machine"
- SEO and marketing surfaces when you are ready, not week one by default
Automation and internal tools
Fewer copy-paste steps between the systems you already pay for — notifications, schedulers, spreadsheets nobody likes, Mute Marker–style glue when it fits.
Typically includes
- Workflows with a clear owner when something fails at 9pm
- Integrations with sane retry and logging
- We prefer boring reliability over theatre dashboards
Engineering depth
APIs, databases, queues, performance, cost tuning — for teams that outgrew templates and need maintainable backends.
Typically includes
- Third-party APIs without spaghetti callers
- Background jobs, pipelines, idempotency where money moves
- Handoff notes if you later hire your own team
Early-stage teams and students
We sometimes mentor or build when the problem is narrow and you can show user pain in plain language. We would rather ship an ugly v1 you can demo than polish slides for a month.
- Straight yes/no on fit before a big retainer
- Written scope so scope creep has a name
- Help with company registration or trademark only where we already know the path
Please do not open with "equity only" — if that is on the table, it comes after a real technical conversation.
Tell us what you are buildingWhy "in-house" is not a slogan here
The same people who ship our public products do client work when we take it. We still use normal cloud providers and payment gateways — "in-house" means we write and own the core application code and architecture decisions, not that we fabricated our own CPUs.
- You get a named path to engineers for production issues
- We do not resell someone else's white-label as "our AI platform"
- Security and access control are designed in, not bolted on as a PDF appendix
Related pages
Concrete next step
Send a short note: user, pain, what exists today, and what "good" looks like in one month. We reply with fit and rough shape — or a no.