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We'd Love to Hear From You

Whether you have a defined project, an unclear problem, or just want to explore what AI could do for your business — reach out. Every engagement starts with an honest conversation.

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Email
innometrique@gmail.com
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Website
innometrique.com
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Response Time
Within 24 hours
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Working With
Clients Globally
Free Consultation

60-Minute Technical Deep Dive

We offer a complimentary technical consultation for qualified projects. We'll review your use case, identify the right AI approach, and give you an honest assessment — no obligation.

Project Intake
Start a Conversation

Share a few details about what you're building. We’ll review it personally and come back with a thoughtful next step, not a generic sales email.

A real person reviews every enquiry. If it’s a fit, we’ll reply with clear next steps within one business day.

Thanks, your brief is in.

We’ve received your project details successfully. Our team will review everything and reply within the next 24 hours with the best next step.

If your request is urgent, you can also email us directly at innometrique@gmail.com.

Common Questions

How long does a typical AI project take?

Most RAG or agent projects run 6–12 weeks from kickoff to production. MVPs are 6–10 weeks. Data infrastructure projects vary from 4 to 16 weeks depending on complexity. We scope carefully upfront to avoid surprises.

Do you work with clients who don't have much data?

Yes — most of our best projects started with limited structured data. We're experienced at RAG approaches that use unstructured documentation, leveraging public models, and building data collection pipelines alongside the AI system.

Will we own the code and models you build?

Yes, always. All IP belongs to you. We hand over full source code, model weights, documentation, and deployment instructions. No vendor lock-in, no ongoing licensing fees for the work we build.

Can you work with our existing engineering team?

Absolutely. We often embed as a specialist AI team alongside your in-house engineers, doing knowledge transfer and pair programming throughout. The goal is always to leave you more capable, not more dependent.