Your data · Your infrastructure · Your AI

Use AI.Keep your data in-house.

Give your team powerful AI without sending confidential documents, prompts and institutional knowledge to public services.

On-premises core Organisation-controlled No public-model training
On-premises coreIntelligence inside your infrastructure.
P

Sensitive knowledge12,480 documents stored locally

On premises
Your private assistant

What changed in our confidential agreement?

Processed and answered inside your private deployment.
Data boundaryUnder your control
See why private matters

Some work is too sensitive for public AI.

Public AI can move prompts, files and outputs outside your infrastructure, where retention and model-training terms vary. Private AI brings the capability in-house instead.

01 / YOUR BOUNDARY

The most useful context is often the most sensitive.

Connect trusted information without turning it into public AI input.

On-premises
AI core
PDFPolicies
DOCCase files
DBInternal data
APIYour systems
On-premises by default
IN-HOUSE

Your core models, prompts, files and answers stay within infrastructure your organisation controls—not submitted to train a public model.

Your rules

Manage users centrally

Control models and access

Enable cloud only if needed

Control from one place.

Private doesn’t
mean limited.

Give teams familiar AI for knowledge, writing, analysis and controlled workflows—without giving up your deployment boundary.

01 / Understand + search

Ask your organisation.

Search policies, case files, contracts, manuals and years of sensitive internal knowledge.

See the experience
Company knowledge
PDFVendor policyUpdated 3 days ago
DOCApproval matrixFinance workspace
PDFSupplier handbookOperations
PRIVATE AI

The approval threshold moved from ₹3 lakh to ₹5 lakh.

3 sources
02 / Write + create

Go from thought to finished.

Draft reports, proposals and communication with the context and voice of your business.

See the experience
Client update
PROJECT NORTHSTAR

Implementation update

We completed the architecture review and confirmed the deployment scope.

Next, the team will begin configuration and access testing.

Writing styleClear + concise
03 / Analyze + decide

See what matters now.

Read spreadsheets, reports and changing business signals without losing the bigger picture.

See the experience
Quarter overview
Operating cost₹2.48Cr+8.4%
Exceptions12−3
Forecast96%On track
Logistics explains 61% of the increase
04 / Code + automate

Move work forward.

Review code, prepare actions and run controlled workflows—with people kept in the loop.

See the experience
Weekly operations reviewRunning
01Collect updates6 teams
02Find blockersPrivate AI
03Prepare reviewDraft ready
04Human approvalRequired
3 steps completeWaiting for your approval

Start private.
Expand when ready.

Every starting point runs on infrastructure your organisation controls. Choose by capability—not by level of privacy.

01Essential
₹3–4 lakhOn-premises deployment

Private AI for everyday work, running inside your organisation.

Best forEveryday organisational work
Typical capacity≈11–14 everyday users≈5–11 heavier workloads
Web chatMobile-readyAdmin controlAccess management
Essential AI
02Professional
₹7–8 lakhOn-premises deployment

A higher-capacity private platform for growing teams.

Best forGrowing teams with daily AI use
Typical capacity≈20 everyday users≈5 advanced users
Everything in EssentialMore capacityTeam-wide accessShared prompts
Professional AI
03Enterprise
From ₹15 lakhOn-premises deployment

Private AI becomes organisation-wide infrastructure.

Best forOrganisation-wide and specialist work
Typical capacity≈50 everyday · ≈15 advanced1–2 frontier users
Multiple model tiersAdvanced workloadsSpecialist usersBuilt to expand
Enterprise AI
04Custom
Made to fitCustom private deployment

A private deployment shaped around specialist requirements.

Best forSpecial security or integration needs
Typical capacityDefined around your workloadPolicy-led architecture
Security policiesModel selectionIntegrationsRollout plan
Custom AI

Reference capacities are indicative and vary by model, workload, prompt size and deployment configuration.

Keep the core private.
Add only what you need.

Extend capability, automation and reach without changing the on-premises foundation.

Find your starting point.

Choose your team size and workloads. We’ll suggest the private core that fits.

Configure your private AI
01 / 02
18
Just me60+
What should it handle?Choose any
Your starting point

Professional AI

Estimated ₹7–8 lakh

Simple for
the people using it.

The infrastructure stays controlled underneath. Your team gets one familiar place to work.

Organisation workspaceOn-premises model⌄
You

What is our approval policy for purchases above ₹5 lakh?

Private AI

Purchases above ₹5 lakh require department-head approval and a finance review. New vendors also require procurement due diligence before an order is issued.

Source: Procurement Policy · page 18
Ask about your organization…

Bring AI
in-house.

Keep sensitive work within your organisation. Add capability as your needs grow.

Plan your deployment Talk to us