FAQs

Question 1

How fast can we start, and when will we see a working release?

Accepted Answer

We embed a senior team within 7 business days and target a production-ready milestone in ~4 weeks. That first release typically includes CI/CD, auth, basic observability, security checks, and docs—so you can demo, onboard early users, or go live with confidence.

Question 2

What’s your pricing model, and how do you keep costs predictable?

Accepted Answer

We offer fixed-scope (when requirements are clear), sprint-based (when we’re learning), or dedicated teams (when you need sustained velocity). You’ll get a cost vs. impact dashboard, weekly demos, and change control—so scope and spend stay transparent.

Question 3

How do you handle security, compliance, and data privacy—especially with AI?

Accepted Answer

We follow an ISO-aligned SDLC, least-privilege access, secrets hygiene, code reviews, and periodic third-party checks. For AI, we add PII redaction, evaluation/guardrails, audit logs, and optional human-in-the-loop for sensitive actions. We’re familiar with GDPR/HIPAA considerations and data residency needs.

Question 4

Can you work with our stack and cloud?

Accepted Answer

Yes. We deliver on AWS, GCP, and Azure with modern stacks (TypeScript/Node, Python, .NET, Java/Kotlin, React/Next, React Native/Flutter, Postgres, etc.). We integrate into your toolchain, APIs, and data sources—no forced rewrites.

Question 5

How will we collaborate day to day?

Accepted Answer

You’ll have daily Slack access to leads, weekly live demos, and a shared project board for priorities, risks, and decisions. Expect clear acceptance criteria, a risk log, and a single owner (Eng/PM lead). We maintain US/UK/EU time-zone overlap for working sessions.

Question 6

Who owns the code, models, and IP? Will we be locked in?

Accepted Answer

You own everything. Repos live under your org, and infra runs in your cloud account. We use open standards, provide runbooks and handover, and avoid proprietary lock-ins—so your team can run with it anytime.

Question 7

What happens after launch—support, scaling, and optimization?

Accepted Answer

Pick a post-launch plan for monitoring, patching, and enhancements. We can provide on-call (as contracted), performance tuning, cost optimization, and a quarterly roadmap tied to KPIs. Training and knowledge transfer are included so your team stays self-sufficient.

70%	Reduction in Manual Data Entry

40%	Improvement in Early Diagnosis Rates

50%	Faster Clinical Decision-Making

30+ clinics	Rural Clinics with Live Monitoring

IoT-Enabled Remote Care

Highlights

Key Details

Your Vision. Engineered for Scale.

Challenges

Solutions

Outcome

Our Roadmap

Requirement Analysis

System Architecture

Development Phase

Testing & Deployment

Requirement Analysis

System Architecture

Development Phase

Testing & Deployment

Snapshots of Innovation

Conclusion

Our Tech Armor

Where Top Leaders Believe

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