Question 1

What is Lumino?

Accepted Answer

Lumino (lumino.co.in) is an AI-only company based in Hyderabad, India, with 12+ years of enterprise AI architecture and delivery. We work across products and projects (Voice Cast, Voice Agents and scoped or long-term AI projects), platforms (generative and agentic AI, data and ML, LLM infrastructure) and people (dedicated AI teams and contract AI engineers), for clients in the USA, Canada, Singapore, the UAE and India.

Question 2

What AI products does Lumino offer?

Accepted Answer

Voice Cast sends recorded, text-to-speech or cloned-voice call campaigns to large contact lists — reminders, offers, collections and announcements in 20+ languages. Voice Agents hold real two-way phone conversations to qualify leads, resolve support queries, screen candidates and book appointments, with human handoff. AI Video Studio and an AI-first Recruitment ATS are coming soon.

Question 3

What AI services does Lumino offer?

Accepted Answer

Four practices: generative and agentic AI (multi-agent workflows, computer-use agents, private-data RAG, MCP tool integration, document and email intelligence, multimodal vision, chatbots and voice bots, AI video), data, ML and MLOps (machine learning, forecasting, data engineering, Databricks, MLOps and LLMOps), AI infrastructure (LLM inference, GPUs, private LLM deployment, fine-tuning and training data, edge AI), and AI enablement (AI architecture and strategy, and AI integration into your SaaS, enterprise and legacy systems).

Question 4

What engagement models does Lumino offer?

Accepted Answer

Three: scoped AI projects with fixed price and milestones; time & materials for long-running programmes where the scope isn't defined up front; and dedicated AI teams, led by a senior AI architect, for 12 months or more. When you need specific skills in your own team we also provide contract AI engineers on time & materials.

Question 5

Does Lumino do AI staffing or permanent recruitment?

Accepted Answer

No. Lumino is not a recruitment agency and does not do permanent hiring. Our people come from our own delivery bench — as dedicated AI teams, or occasionally as contract AI engineers inside a client team.

Question 6

How much AI experience does Lumino have?

Accepted Answer

Our architects and engineers bring 12+ years of AI experience — classical ML and forecasting long before generative AI — and have delivered AI for enterprises that has generated millions in value. Every engagement is led by a senior AI architect.

Question 7

Where can Lumino deploy AI?

Accepted Answer

Anywhere: AWS, Azure, Google Cloud, other clouds, on-premise data centres, the edge or air-gapped environments — with any model, including Claude, GPT, Gemini, Llama, Qwen, Mistral or your own.

Question 8

Do you only work on AI?

Accepted Answer

Yes. Lumino focuses only on AI. For general IT staffing, CRM, ERP and software development, our sister company Quantum Centric (quantumcentric.ai) is the right fit.

Question 9

Which countries do you work in?

Accepted Answer

We work with clients in the USA, Canada, Singapore, the UAE and India, with delivery teams that overlap each region's working hours.

Question 10

How do I contact Lumino?

Accepted Answer

Call or WhatsApp +91 7671 017 955, or email info@lumino.co.in. We're available Monday to Saturday, 9:00 AM to 7:00 PM IST.

Question 11

How long does it take to implement an AI solution?

Accepted Answer

Timeline varies by complexity: Simple RAG systems take 4-6 weeks, multi-agent systems 8-12 weeks, and enterprise-wide implementations 3-6 months. We provide detailed timelines during discovery phase.

Question 12

What data do I need to get started?

Accepted Answer

Requirements depend on your use case. For RAG systems, you need documents/knowledge base. For predictive models, historical data. We conduct a data assessment during discovery to identify gaps and solutions.

Question 13

Can you work with our existing systems?

Accepted Answer

Yes. We specialize in integrating AI into existing tech stacks. We support REST APIs, databases, cloud platforms (AWS, Azure, GCP), and can work with your preferred tools and frameworks.

Question 14

What if the AI doesn't perform as expected?

Accepted Answer

We establish clear success metrics upfront and include evaluation frameworks. If performance issues arise, we iterate using A/B testing, fine-tuning, and prompt optimization until targets are met.

Question 15

How much does an AI project cost?

Accepted Answer

Projects range from $25K for MVPs to $200K+ for enterprise solutions. Cost depends on complexity, data requirements, and integration needs. We provide detailed estimates after discovery phase.

Question 16

Do you offer fixed-price projects?

Accepted Answer

Yes, for well-defined scopes. We also offer time & materials for exploratory work and dedicated teams for ongoing partnerships. We'll recommend the best model for your needs.

Question 17

What's included in your pricing?

Accepted Answer

All pricing includes: development, testing, documentation, deployment, training, and 30 days post-launch support. Ongoing maintenance and hosting are separate.

Question 18

Can we start with a pilot project?

Accepted Answer

Absolutely. We recommend starting with a focused MVP (4-8 weeks, $25-50K) to prove value before scaling. This reduces risk and validates approach.

Question 19

How do you handle data security?

Accepted Answer

We follow SOC 2 Type II standards, use encryption at rest and in transit, implement role-based access control, and can deploy on-premise or in your private cloud for sensitive data.

Question 20

Are you GDPR/HIPAA compliant?

Accepted Answer

Yes. We implement data protection by design, maintain audit logs, support data deletion requests, and can sign BAAs for HIPAA projects. We have experience with regulated industries.

Question 21

Who owns the IP and code?

Accepted Answer

You own all custom code, models, and IP developed for your project. We retain rights to our proprietary frameworks and tools. This is clearly defined in our contracts.

Question 22

Can you work with our security team?

Accepted Answer

Yes. We regularly collaborate with client security teams, complete security questionnaires, participate in audits, and implement your security requirements.

Question 23

Which LLMs do you work with?

Accepted Answer

We're model-agnostic and work with GPT, Claude, Gemini, Qwen, Llama, Mistral, and others. We select models based on your requirements for cost, performance, privacy, and capabilities.

Question 24

Do you fine-tune models?

Accepted Answer

Yes, when beneficial. We evaluate if fine-tuning, RAG, or prompt engineering is best for your use case. Fine-tuning typically costs $5-20K and takes 2-3 weeks.

Question 25

What about model costs and scaling?

Accepted Answer

We implement cost controls: caching, prompt optimization, model selection, and usage monitoring. We provide cost projections and help you scale efficiently.

Question 26

Can you migrate from one LLM to another?

Accepted Answer

Yes. We build model-agnostic architectures that allow switching providers. Migration typically takes 1-2 weeks depending on complexity.

Question 27

What happens after launch?

Accepted Answer

We provide 30 days of post-launch support included. After that, we offer maintenance packages starting at $5K/month covering monitoring, updates, and optimization.

Question 28

Do you provide training?

Accepted Answer

Yes. We include end-user training, admin training, and technical documentation. We can also train your team to maintain and extend the system.

Question 29

What if we need changes later?

Accepted Answer

We offer flexible support: ad-hoc hourly rates, monthly retainers, or dedicated team arrangements. We maintain relationships with clients for ongoing evolution.

Question 30

How do you handle model updates?

Accepted Answer

We monitor model releases, test updates in staging, and coordinate upgrades. Critical security updates are handled immediately; feature updates are scheduled.

Frequently Asked Questions