Question 1

What is a typical project timeline?

Accepted Answer

A focused MVP with core features typically ships in 6-12 weeks from the architecture sprint to production deployment. Enterprise-grade platforms with multiple integrated services typically run 3-6 months. We don't do bloated timelines. Every milestone in our schedule is tied to a deployable output.

Question 2

How do you price your engagements?

Accepted Answer

We price on a project basis, not hourly billing. Our engagements are scoped after a Discovery call and Architecture Sprint, which gives us the precision to quote accurately. We also offer dedicated retainer arrangements for teams that want ongoing embedded engineering capacity.

Question 3

Do you work with early-stage startups or only enterprises?

Accepted Answer

We work with both startups and enterprises, but our approach adapts. For early-stage startups, we focus on speed-to-market and building a foundation that won't need to be rebuilt post-Series A. For enterprises, we emphasize scalability, compliance architecture, and integration with existing systems. The engineering standard is identical in both cases.

Question 4

What specific technologies do you specialize in?

Accepted Answer

Our core stack includes React, Next.js, Node.js, Go, and Python. We have deep capabilities in AWS, GCP, and Azure cloud infrastructure, Kubernetes orchestration, machine learning model deployment (PyTorch, TensorFlow, OpenAI), and high-performance microservices and event-driven systems.

Question 5

Can 11Vertex integrate AI and LLMs into an existing product?

Accepted Answer

Yes, this is one of our most in-demand capabilities. We design and integrate RAG pipelines, fine-tune open-source models, and build production-grade wrappers around GPT-4, Claude, and Gemini APIs. We have shipped AI-augmented products in healthcare, legal tech, and FinTech environments with strict compliance requirements.

Question 6

How do you handle data privacy and security?

Accepted Answer

Security is not a feature. It is a constraint baked into our architecture from day one. We support SOC 2 Type II, HIPAA, PCI-DSS, FedRAMP, and GDPR-compliant deployments. We conduct threat modelling during the Architecture Sprint and can implement zero-trust network architectures, encrypted data layers, and immutable audit trails.

Question 7

Can 11Vertex handle enterprise-level system migrations?

Accepted Answer

Yes. We specialize in refactoring monoliths into modular, scalable microservices architectures. Our engineers have migrated systems serving millions of daily active users while maintaining 99.9%+ uptime during the transition. Every migration is planned with zero-downtime rollout strategies and automated rollback capabilities.

Question 8

How do you ensure post-launch stability?

Accepted Answer

Every system we deploy includes automated CI/CD pipelines, integrated observability (logs, metrics, traces), and real-time alerting. We remain embedded for a stabilisation period post-launch and offer long-term maintenance and engineering support packages. Our SLAs include <4 hour P1 response times.

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