The vision of technology,
in motion.
Zavia means perspective, a way of seeing things flow. We're an independent AI engineering studio building agents, RAG, and automation that move with your business, and stay running long after launch.
A note from
the founders.
Zavia-AI was founded in June 2025, but the team behind it isn't new to this. Between us we've spent more than two decades inside telecoms, operations and engineering teams, and the last several years deep in modern AI tooling.
We started the studio after watching one too many enterprise AI projects stall the same way: a great pilot, an excited steering committee, and then nothing in production six months later. We knew what it takes to put something live behind a real SLA — auth, audit logs, evals, rollback plans, the unglamorous parts.
So we built Zavia deliberately: founders on every project, a tight engineering bench, and dedicated leads for AI Governance & Responsible AI and Cybersecurity & Data Protection on every engagement.
— Younus Shafi & Ghaarib Khurshid · Co-Founders
Treat AI like
infrastructure.
Not a demo. Not a deck. Something a team can rely on at 2 AM.
Model-agnostic, opinionated
Claude is our default reasoning core, with OpenAI and open models when they fit better. We pick what holds up, not what's trending.
Built to be operated
Real retrieval, evals, observability, rollback. The boring parts that decide whether you trust the system on day 90.
Wired into your stack
n8n, Supabase, your CRM, your ERP, your inbox. AI that lives next to the work, not in a separate tab.
Governance & security, not bolted on
A dedicated AI Governance & Responsible AI lead and a Cybersecurity & Data Protection lead are on every engagement by RBAC, audit, data residency, model risk, by default.
Governance and security,
led by name.
Most studios bolt these on. We staff them. Every Zavia engagement has two named leads working alongside engineering — not advisors, not a checkbox.
AI Governance & Responsible AI
- ›Model risk & eval frameworks
- ›Policy alignment & audit trails
- ›Bias, safety & human-in-the-loop
Cybersecurity & Data Protection
- ›Data residency & encryption
- ›Secrets, RBAC & least privilege
- ›Threat modelling for LLM systems
Systems shipping
in production.
Productized AI,
ready to deploy.
RAG-as-a-Service
RAG chatbots · Knowledge agents
Deploy domain-specific chatbots grounded in your documents, data, and compliance rules. Hybrid retrieval, observability, and human-in-the-loop included.
› Request a prototypeAI Voice Agents
Inbound · Outbound · Multilingual
Production voice agents that book, qualify, and resolve — wired into your CRM, calendar, and ticketing. Arabic, English, and regional language support.
› Request a prototypeAI Inventory Management
Forecasting · Reorder alerts · SKU risk
A supply-chain intelligence layer that spots stockout risk, forecasts demand, and recommends replenishment before operations feel the gap.
› Open live demoThe things people
ask first.
Q_01What does Zavia-AI actually do?
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What does Zavia-AI actually do?
›We're an independent AI engineering studio. We design, build, and operate AI systems, agents, RAG, voice, document automation, that go into production for real enterprises, not demos that live on a laptop.
Q_02Where are you based?
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Where are you based?
›Our HQ is in Muscat, Oman. Engineering is in Srinagar, India. We have partner relationships in Kuala Lumpur, Malaysia. We work primarily with clients across the GCC and South Asia.
Q_03How do engagements usually start?
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How do engagements usually start?
›Almost always with a paid prototype, scoped in 1–2 weeks. It bounds the risk, gives you something to react to, and tells both sides whether we should keep going.
Q_04Are you a Claude / Anthropic partner?
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Are you a Claude / Anthropic partner?
›Yes. We're part of the Anthropic Claude Partner Network. We also work with OpenAI and open models when the use case calls for it, we pick what fits, not what's trending.
Q_05What kinds of companies do you work with?
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What kinds of companies do you work with?
›Telecom operators, tourism and hospitality, education providers, logistics, and operations-heavy enterprises. Mostly mid-to-large organisations where AI has to plug into existing workflows, not replace them.
Have something
specific in mind?
Drop us a line. Both founders read every message and you'll hear back within one business day.