FAQ
Plain answers to real questions.
Everything clients actually ask before working with us - engagements, timelines, technology, AI, ownership. If your question is not here, ask it directly; we reply within 24 hours.
The company
What does Mokshify do?
Mokshify is an AI-first software engineering studio in Hyderabad, India. We design, build, deploy and operate digital products: AI products, SaaS platforms, mobile apps, enterprise software and the cloud infrastructure underneath them.
Where are you located, and do you work remotely?
Hyderabad, Telangana, India - working with clients across India and worldwide, remotely. Every enquiry gets a reply within 24 hours.
What proves you can deliver?
Live products: FinCalix, Medico Diagnostics, Terravion Properties and SkillForceHub. Open them; use them. That is our portfolio policy - only things that are real.
Engagements & timelines
How do engagements work?
Four models: MVP Sprint (a fundable product in 4-6 weeks), Product Engineering (a product partner over 3-6 months), Dedicated Team (ongoing embedded engineering), and AI Transformation (workflows into AI advantage in 6-12 weeks).
How fast can you ship an MVP?
4-6 weeks: one core workflow, real authentication, production deployment, releases gated by tests and AI review. Scope is cut ruthlessly to the workflow that proves the business.
How is pricing structured?
Fixed scope for MVP Sprints; monthly for Product Engineering and Dedicated Teams. Every engagement starts with a free strategy call and a written scope before any commitment. The full reasoning is in how software cost actually works.
Can you take over an existing codebase?
Yes - audit first (architecture, security, cost, releases), stabilise, then improve in stages while the system keeps serving users.
Technology
What technologies do you use?
React, Next.js and Flutter on the front; Node.js, Python and FastAPI behind; OpenAI, Google AI and Claude for intelligence; AWS, Azure, Oracle Cloud and Google Cloud underneath, run with Docker, Kubernetes, Terraform and GitHub Actions on PostgreSQL, Redis and Nginx. Details on our standards page.
Do you build AI products or just integrate APIs?
Both, done properly: LLM applications, RAG systems and AI agents with evaluation suites, guardrails, cost engineering and human checkpoints. Week one produces a working feasibility spike against your real data - see AI Product Development.
How do you assure quality?
Tests in the definition of done, human review plus an AI review pass on every merge, staged rollouts with health checks and rollback, monitoring before users. The full list is on the process page.
Which cloud do you deploy to?
Yours: AWS, Azure, Oracle Cloud or Google Cloud. Architecture is portable by design - Terraform, containers, managed Postgres.
Working together
Who owns the code and infrastructure?
You do. Your repositories, your cloud accounts, from week one. No lock-in by design.
How do we communicate during a project?
A shared channel with the engineers building your product, a working demo every week, and a written decision log.
What happens after launch?
Shipped products report their health on dashboards; ongoing engineering is available through the Dedicated Team model, or we hand off cleanly to your in-house team - the code and docs are built for that.
How do I start?
Email [email protected] or WhatsApp +91 93912 48520 with one paragraph about the problem. We reply within 24 hours.
Question not answered?
Ask it directly - a human engineer reads every message.