On-Premise AI · India & Middle East

Ask Your Database
Anything.
In Plain English.
Your Data Never Leaves Your Server.

100% On-Premise AI Deployment No cloud. No API keys. No data sharing. Runs entirely on your own servers.

DigiSurface's AI Text-to-SQL Chatbot converts plain English (or Arabic) questions into precise SQL queries — returning instant insights from your own database. Built for enterprises in India, UAE, Saudi Arabia, Oman & the entire Middle East that cannot send sensitive data to the cloud.

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🇮🇳 India 🇦🇪 UAE 🇸🇦 Saudi Arabia 🇴🇲 Oman 🇶🇦 Qatar 🇰🇼 Kuwait 🇧🇭 Bahrain
DigiSurface AI · Text-to-SQL · On-Premise
Running Locally
🏢 HRMS
🏠 Real Estate
🏦 Banking
Show me all employees who haven't taken leave in the last 90 days and their department-wise count.
✦ SQL Generated Instantly
SELECT d.department_name,
    COUNT(e.employee_id) AS employee_count
FROM employees e
JOIN departments d ON e.dept_id = d.id
WHERE e.employee_id NOT IN (
  SELECT DISTINCT employee_id
  FROM leave_requests
  WHERE request_date >= DATEADD(day,-90,GETDATE())
)
GROUP BY d.department_name
ORDER BY employee_count DESC
✦ Results (4 rows)
DepartmentEmployees% of Total
Operations3428.3%
Finance2218.3%
IT1815.0%
HR1411.7%
All queries run on your on-premise server — no data sent externally
100%
On-Premise · Zero Cloud
3
Live Use Cases Built
Any SQL
Database Compatible
Arabic
+ English Queries
The #1 Reason Enterprises Choose Us

Your Data Never Leaves Your Building.
Ever.

Banks, real estate firms, and HR departments in India and the Middle East handle data that legally and ethically cannot go to external cloud servers. DigiSurface's on-premise AI is the only answer.

Zero Cloud Exposure

Your employee data, property records, and banking transactions never touch OpenAI, Google, or any external server. The AI model runs entirely inside your own network perimeter.

Regulatory Compliance

India's DPDP Act 2023, Saudi SAMA regulations, UAE Central Bank data residency rules, and Gulf banking compliance all require on-premise or private cloud deployment. eServe AI meets all of these.

Private LLM Deployment

We deploy an open-source large language model (LLM) on your private servers, tuned to your specific database schema. No subscription to OpenAI. No ongoing data-sharing agreements.

Instant SQL — No Analyst Needed

Business users in HR, sales, finance, or operations type a question in plain English or Arabic. The AI converts it to precise SQL and returns the result in seconds — without writing a single line of code.

Works With Your Existing Database

No data migration required. The AI maps to your existing SQL Server, Oracle, MySQL, PostgreSQL, or SAP HANA schema. It learns your table names, relationships, and business logic automatically.

Arabic & English Language Support

Users across UAE, Saudi Arabia, Oman, Qatar, and Kuwait can ask questions in Arabic. The AI understands the query, generates the SQL, and returns results — fully bilingual, fully on-premise.

How It Works

Plain English In.
SQL Out.
Results Instantly.

Five steps. No cloud. No data leaves your premises. The entire pipeline runs inside your own server infrastructure — from the moment a user types a question to the moment results appear on screen.

Compatible Databases
SQL Server Oracle MySQL PostgreSQL SAP HANA Any SQL DB
1
User Asks a Question in Plain English or Arabic

"What is the total outstanding loan amount for customers in Riyadh with EMI overdue by more than 30 days?" — typed directly into the chat interface on your intranet.

2
On-Premise LLM Parses the Intent

The local language model (running on your server) understands the business intent of the question — customer segment, time condition, aggregation type — using your schema context.

3
SQL Query Generated Automatically

The AI generates an optimised, schema-accurate SQL query mapped to your actual table names, column names, and relationships. No generic query — it knows your database.

4
Query Runs Directly on Your Database

The SQL executes against your on-premise SQL Server, Oracle, or other database. No data leaves your network at any point. Results are pulled from your own servers.

5
Results Returned as Table + Natural Language Summary

The answer appears as a formatted data table with a plain English summary — e.g. "127 customers in Riyadh have overdue EMIs totalling ₹4.8 Cr." Business users get the answer. IT never gets a call.

Live Use Cases

Three Industries. Three Deployments.
All Fully On-Premise.

DigiSurface has already built and deployed the Text-to-SQL chatbot across three enterprise verticals — tested, live, and ready to demonstrate to your team in India or the Middle East.

HRMS
HR & Payroll Intelligence

HR managers and business leaders query employee data, payroll reports, attendance patterns, leave balances, and headcount analytics — instantly, in plain English, from their own HRMS database.

Example questions employees & managers ask:
💬
"Show me department-wise attrition rate for the last 6 months"
💬
"Which employees have more than 5 absent days this quarter?"
💬
"What is the average salary in Operations vs Finance?"
💬
"List employees whose contracts expire in the next 30 days"
Real Estate
Property & Portfolio Analytics

Real estate companies in India, UAE, and Saudi Arabia query property inventory, sales pipeline, rental yields, broker performance, and customer booking data — without writing a single SQL query.

Example questions agents & directors ask:
💬
"Show unsold inventory in Dubai Marina by unit type"
💬
"Which broker closed the highest value deals this month?"
💬
"What is the average rental yield for 2BHK in Gurgaon Sector 54?"
💬
"List lease renewals due in the next 45 days with tenant details"
Banking
Banking & Financial Data Queries

Bank managers and analysts in India, UAE, Saudi Arabia, and Oman query loan portfolios, customer account data, NPA reports, transaction histories, and branch performance — fully on-premise, fully compliant.

Example questions bank managers ask:
💬
"What is our total NPA value in home loans this quarter?"
💬
"Show customers with EMI overdue 30+ days by region"
💬
"Which branch has the highest CASA ratio this month?"
💬
"List accounts with transactions above AED 50,000 today"
Technical Architecture

Fully Isolated. Fully Private.
On Your Infrastructure.

Every component — the LLM, the SQL engine, the chat interface — runs inside your own server or private cloud. Nothing is shared. Nothing is external. This is what enterprises in India and the Middle East require.

User
Types question in English or Arabic on your intranet portal
Chat UI
Web-based chat interface hosted on your private server
Private LLM
Open-source model fine-tuned to your schema. Runs 100% on your hardware
SQL Engine
Generated query validated and optimised before execution
Your Database
SQL Server, Oracle, MySQL, PostgreSQL — on your premises
The Internet Boundary Is Never Crossed
Your questions, your SQL, your results — all stay inside your firewall. No OpenAI subscription. No Azure OpenAI. No Google Gemini API. Your AI. Your servers. Your data.
Where We Deploy

On-Premise AI Deployment Across India & the Complete Middle East

We deploy on your servers — whether that's a data centre in Gurgaon, Riyadh, Dubai, or Muscat.

🇮🇳
India
DPDP Act 2023 compliant
Gurgaon, Mumbai, Bangalore, Chennai
🇦🇪
UAE
UAE Central Bank data residency
Dubai, Abu Dhabi, Sharjah
🇸🇦
Saudi Arabia
SAMA & NCA compliant
Riyadh, Jeddah, Dammam
🇴🇲
Oman
CBO data compliance
Muscat, Salalah
🇶🇦
Qatar
QCB & ictQATAR compliant
Doha
🇰🇼
Kuwait
CBK data guidelines
Kuwait City
🇧🇭
Bahrain
CBB data residency
Manama
🌐
Other Regions
Jordan, Egypt, Iraq
Private cloud deployments
Frequently Asked Questions

Common Questions from IT & Business Leaders in India & the Middle East

Is the AI chatbot 100% on-premise? Does any data go to OpenAI or the cloud?

Yes, it is 100% on-premise. The AI model (an open-source LLM like Mistral, LLaMA, or similar) is deployed and runs on your own servers or private cloud. Your database, your questions, your SQL queries, and your results never leave your network. There is no connection to OpenAI, Google, Microsoft Azure OpenAI, or any external AI service. This is the core reason enterprises in India, Saudi Arabia, UAE, and across the Middle East choose our solution.

What databases does the Text-to-SQL AI chatbot support?

The chatbot works with any SQL-compatible database — Microsoft SQL Server, Oracle Database, MySQL, PostgreSQL, SAP HANA, MariaDB, and others. It automatically maps your database schema (tables, columns, relationships, foreign keys) and uses this mapping to generate accurate queries. No schema changes are required on your existing database.

What use cases has DigiSurface built for the Text-to-SQL chatbot?

DigiSurface has built live, deployed use cases for three industries: HRMS (employee analytics, payroll queries, leave analysis, headcount reporting), Real Estate (property inventory, sales pipeline, rental yield, broker performance, lease management), and Banking (loan portfolio analysis, NPA reporting, EMI overdue tracking, CASA ratio queries, branch performance). All three run fully on-premise with no cloud dependency.

Does the AI support Arabic queries for our Middle East users?

Yes. The on-premise AI chatbot supports both Arabic and English language queries. Users in UAE, Saudi Arabia, Oman, Qatar, Kuwait, and Bahrain can type their questions in Arabic. The AI understands the query, generates the correct SQL, runs it against your database, and returns results — in Arabic or English as preferred. All of this happens entirely on your servers.

How long does deployment take and what is needed?

A standard on-premise deployment for one use case takes 2–4 weeks. This includes: server setup and LLM installation on your infrastructure, schema mapping and fine-tuning, query accuracy testing on your real data, user interface customisation, and team training. DigiSurface provides a free proof-of-concept (POC) on a sample of your data before you commit to a full deployment.

What hardware is needed for on-premise deployment?

Requirements depend on model size and concurrent users. For a small-medium deployment (up to 50 concurrent users): a server with 32–64GB RAM, a modern multi-core CPU, and optionally a GPU for faster inference. DigiSurface's team will assess your existing server infrastructure and recommend the optimal model size (7B, 13B, or 70B parameter) to balance speed and accuracy within your hardware constraints.

Your Data. Your AI.
Your Servers. Nowhere Else.

We'll deploy a free proof-of-concept on a sample of your data — HRMS, Real Estate, or Banking — and show you live results. For enterprises in India, UAE, Saudi Arabia & the entire Middle East.

Request Your Free POC
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