Sheba · Applied AI infrastructure
The Next Is Ours.
We build and operate AI products and systems around how your business actually works—connecting customers, teams, data, and workflows to create new capabilities, clearer operations, and opportunities for growth.
We draw the boundary before a deployment answers its first customer: what the AI can see, and what a person decides. Across 30+ production deployments in 14+ industries, that order has not changed.
- 30+production deployments
- 35+active AI agent personas
- 14+industries served
- 2+years of shipping
Production deployments across regulated and commercial MENA operators.
Product paths
What is in the product started as one company's problem.
ChatSheba CRM
Arabic-native AI customer support across WhatsApp Business API, Telegram, web widget, and custom app SDK — with a CRM layer your team can operate.
Explore ChatSheba
Custom AI Solutions
AI agents, workflow automation, and integrations built into your systems — for problems that don't fit a product SKU.
See how custom systems workLive demos
Talk to a ChatSheba assistant now
Real ChatSheba assistants you can open and talk to right now — no signup, no access code.
Why Sheba
Why teams run Sheba in production.
The operational AI layer for Middle Eastern businesses: one system where the customer, the team, the data and the next step meet.
Every language, by architecture
AI that handles every language and Arabic dialect — plus multimodal input across text, voice notes, and images, and a UI in 10+ languages.
Built for production operations
30+ production deployments and 35+ active AI agent personas across 14+ industries — built as production-grade SaaS, not bespoke automations or prototypes.
Data boundaries by design
Each deployment is scoped around clear data boundaries, human escalation, and deployment paths suitable for teams with regulatory requirements.
Productized plus custom
One team builds the product and the custom layer on top — no integrator gap, no offshore-dev handoff.
Industries
Built for your industry's operations.
Deployments are running in all three — but what each is actually buying is different.
Regulated enterprise
Banking, Islamic microfinance, and healthcare that need Arabic-native AI inside regulatory boundaries — PDPL-aware, every conversation logged against the customer record, with human escalation.
Commercial mid-market
Retail, F&B, real estate, and travel teams scaling customer support and sales conversations across WhatsApp, Telegram, and web.
Industrial and B2B
Manufacturers, associations, and professional services that need technical product Q&A, member engagement, and integration beyond a CRM.
Built for teams that answer to a regulator
- PDPL-aware by default
- Per-deployment data boundaries
- On-prem and residency paths, scoped per deployment
- Human escalation as a control
How it works
How an engagement works.
- 1
Describe the operation
Typically 1 business day
Share your use case, industry, and the channels you operate. We review the details and reply within one business day.
- You provide
- Your use case and channels
- We provide
- A reviewed reply and next step
- 2
Map the data and channels
1–2 weeks
We map your workflows, data boundaries, and the right product fit — ChatSheba, custom engineering, or both.
- You provide
- Workflows and data requirements
- We provide
- A concrete deployment scope
- 3
Deploy the first workflow
Scoped per build
We configure the agent, connect your channels and knowledge base, and stand up the deployment with human escalation in place.
- You provide
- Channel access and knowledge sources
- We provide
- A configured, tested deployment
- 4
Improve from real conversations
Ongoing
Your AI answers real conversations, including ones that arrive after your team has gone home. We monitor, tune the brand voice, and extend coverage as you grow.
- You provide
- Feedback as you grow
- We provide
- Monitoring, tuning, and coverage
Proof
Deployment patterns, not pitch-deck logos.
Our proof is the catalog of running deployments. Here is one anonymized pattern from production.
- Sharia-compliant microfinance bank
Routine product questions are settled in the conversation, so customers arrive at the branch already informed. Financing leads reach relationship managers pre-enriched with financing type and amount, and underwriting and complex decisions escalate to a human with full conversation context.
Read this pattern - Arabic retail brand
Routine questions are handled on the channel buyers already prefer. Conversations are captured in the CRM with contact attributes, and staff step in only when the conversation is ready to close.
Read this pattern - Industrial manufacturer (steel, solar, water, foam)
Spec, size and current-price questions are answered from the same catalogue the plant works from. The record shows the team which product categories bring the most enquiries.
Read this pattern
FAQ
Questions, answered.
Your message gets a person. Everything else we build answers on its own.
We review your use case and reply with a practical next step within one business day.
Tell us the problem