Question 1

How does the engagement process work?

Accepted Answer

Our process runs in 4 stages: Discover (deep system audit), Architect (blueprint & milestones), Build (focused 2-week sprints with live staging demo access), and Scale (deployment optimization and tech transfer to your internal teams).

Question 2

What is the typical project timeline?

Accepted Answer

Timelines vary by scope: websites take 2–4 weeks; custom backend applications and automation pipelines take 4–8 weeks; complex multi-module enterprise systems take 8–16 weeks.

Question 3

We already tried automation and it failed. Why is Lytnex different?

Accepted Answer

Generic agency automation relies on fragile visual builders that break under API changes. We write clean, containerized code with structured error logs and human-in-the-loop triggers to handle complex workflows safely.

Question 4

What if we do not have a dedicated technical team?

Accepted Answer

We design software that is low-maintenance. We package systems into clean serverless/Docker configs and provide full guides so anyone can manage daily runs.

Question 5

How much does custom software development cost?

Accepted Answer

Our engagements typically start at $15,000 for focused applications and scale to $40,000–$100,000+ for multi-module AI systems and platforms. We provide transparent milestones with flat pricing to avoid scope creep.

Question 6

Do you offer fixed-price or hourly contracts?

Accepted Answer

We prefer fixed-price contracts tied to clear architectural milestones. This guarantees cost certainty and aligns both teams on delivery instead of hour-logging.

Question 7

What is included in post-launch support?

Accepted Answer

All packages include 2 to 4 weeks of post-launch monitoring and bug fixing. We also offer ongoing monthly SLAs for active monitoring, feature upgrades, and support.

Question 8

What technology stack do you use?

Accepted Answer

We choose the right tool for the job. Our primary stack includes React/Next.js for web UI, Node.js/Python/Go for backends, PostgreSQL/MongoDB for databases, and Kubernetes/Docker on AWS/GCP for hosting.

Question 9

Can you integrate with our existing systems?

Accepted Answer

Yes. We specialize in building secure API connectors and data middleware to sync modern applications with legacy ERPs, CRMs, and internal databases.

Question 10

How do you handle data security and compliance?

Accepted Answer

We implement industry best practices: HTTPS, SSL/TLS database encryption at rest, secure secret management, Row-Level Security, and SOC2/HIPAA-ready cloud setups.

Question 11

What is the difference between RAG and fine-tuning?

Accepted Answer

RAG (Retrieval-Augmented Generation) connects an LLM to a live search database of your documents, guaranteeing up-to-date, cited answers with no hallucinations. Fine-tuning edits the model weights directly to teach it a specific tone or task format, but cannot guarantee factual citation.

Frequently Asked Questions