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Multi-Modal RAG & Digital Twin

Turn Your Entire
Knowledge Base Into a Conversation

We build intelligent AI interfaces that let your teams upload any document, build structured knowledge bases, and get precise, cited answers through natural conversation - no more digging through folders.

9hrs
Lost Weekly
$5M+
Annual Waste
73%
Lack Tools
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ANI News
ANI NewsAsia's Leading Wire
Y!
Yahoo FinanceGlobal Business
PTI
PTIPress Trust of India
BS
Business StandardIndia's Benchmark
Tribune India
Tribune IndiaSince 1881
Business Today
Business TodayIndia Business
The Wire
The WireInvestigative Media
The Hindu
The HinduSince 1878
India Today
India TodayNation's Newsroom
The Problem

Your knowledge exists. Your team just can't find it.

Enterprises spend billions on content management - yet employees waste entire days hunting through folders, inboxes, and wikis for answers that already exist somewhere. The cost isn't just time. It's decisions made without the right context.

Fix This for My Team

Siloed Across 2,000+ Systems

The average enterprise stores data across SharePoint, Slack, Drive, Confluence, S3 — with no unified layer to query across any of them.

Keyword Search Is Dead

Traditional search returns document lists, not answers. Employees still open, read, and synthesize — wasting hours on routine lookups every day.

Visual Content Is Invisible

Charts, engineering drawings, scanned contracts — none of it is searchable with legacy tools. Multimodal content is your biggest blind spot.

Hallucinations Kill Trust

Generic LLMs confidently make things up. Without cited, grounded answers pulled from your verified documents, AI adoption stalls inside your org.

20%

of every working week is lost to information search — that's one full day per employee, every week. For a 100-person team, you're losing the equivalent of 20 people to the search void, every single day.

How It Works

From scattered files to
conversational intelligence

A four-step process that takes your existing documents and turns them into a live, queryable knowledge layer — deployed in 6 weeks via our AI Velocity Pod model.

01
Ingest

Connect Everything

Upload PDFs, Word, Excel, images, scanned docs, video transcripts, and URLs. Or connect directly to SharePoint, Confluence, Notion, Google Drive, and 50+ sources.

02
Index

Knowledge Graph

Our multimodal pipeline parses, chunks, and indexes every content type — including charts, tables, and handwriting — into a queryable layer.

03
Query

Natural Language

Teams ask questions naturally. The system retrieves the most relevant source chunks across all document types and synthesizes a grounded answer.

04
Verify

Cited Answers

Every answer cites the exact source document, page, and section. No hallucinations. Full audit trail so your team can trust and act on every response.

Core Capabilities

Production-grade knowledge infrastructure. Not a ChatGPT wrapper.

Built for security, accuracy, and enterprise scale — with SOC2 and ISO certifications applied at every layer.

True Multimodal Parsing

Go beyond text. Extract insights from charts, graphs, engineering diagrams, scanned forms, and video screenshots.

Vision + Language Models

Hybrid Semantic Retrieval

Combine dense vector search with keyword retrieval and graph-based relationship mapping. Find the right answer even when the keywords don't match.

Vector + BM25 + GraphRAG

Source-Cited Answers Only

Every AI response is backed by citations with exact page and section references. Teams verify answers instantly.

Grounded Generation

Role-Based Access Control

Users only see answers from documents they're authorized to access. Granular permission mapping mirrors your org structure.

RBAC + Zero Data Retention

Deep Enterprise Integrations

Plug into your existing stack. Connect SharePoint, Confluence, Notion, Google Drive, Salesforce, JIRA — no migration required.

50+ Native Connectors

Digital Twin Knowledge Layer

A living AI replica of your institutional knowledge — continuously updated as your documents change. Stays in sync in real-time.

Real-Time Knowledge Sync
Use Cases by Team

Built for every team
that runs on knowledge

One platform. Every department. See how teams across your organization benefit.

Contract intelligence & compliance audit — in seconds

Legal teams spend 40% of their time locating and cross-referencing documents. Your AI assistant reads every contract, regulation, and policy so your lawyers can spend time thinking, not searching.

Cross-Contract Clause Comparison

Surface every indemnification clause, governing law, or liability cap across hundreds of contracts — ranked by risk exposure, in seconds.

Regulatory Gap Analysis

“Which policies are not compliant with GDPR Article 13?” — get a precise answer with cited sections and identified gaps, not a folder of PDFs.

Due Diligence at 10× Speed

Upload entire data rooms and ask targeted questions. What took 3 weeks of paralegal time now takes hours, with full source citations.

Live Query — Workspace
User Query
"Which vendor contracts expire in the next 90 days and include auto-renewal clauses?"
AI Answer — Sources Cited
Found 4 contracts expiring before July 2026 with auto-renewal:
1. Salesforce MSA — expires May 12, 30-day notice required
2. AWS Enterprise Agreement — expires Jun 3, renews annually
3. Zendesk SaaS — expires Jun 28, 60-day cancellation window
4. Twilio API — expires Jul 1, renews monthly
SalesforceContract.pdf §3.4AWSEnterprise.pdf §7ZendeskSaaS.pdf §11.2
ROI Impact

The math is
brutally simple

Every hour your teams spend searching is money on the floor. Knowledge AI pays for itself in the first month and compounds every month after. Delivered via outcome-based pods.

9hrs
Per employee/week lost to information search (McKinsey)
80%
Average reduction in search time after RAG deployment
6wks
Time to full production deployment with Ailoitte
3x
Faster decisions reported by enterprise teams post-launch

Estimate your ROI

Adjust the parameters to reveal your enterprise savings.

Knowledge Employees250
Avg. Annual Salary$75,000
Weekly Hours per Employee Lost to Search9 hrs
Total weekly hours wasted2,250 hrs
Annual cost of search friction$4.22M
Projected Annual Savings$3.38M / yr
Get Detailed Pod Proposal

Real Stories. Real Success.

Lars Tegelaars

"It's fair to say that we didn’t just find a development company, but we found a team and that feeling for us is a bit unique. The experience we have here is on a whole new level."

Lars Tegelaars

Founder & CEO @Mana

Lars Tegelaars
Priyank Mehta

"Ailoitte understood our requirements immediately and built the team we wanted. On time and budget. Highly recommend working with them for a fruitful collaboration."

Priyank Mehta

Priyank Mehta

Head of product, Apna

Jitendra Dhaka

"Although Banksathi looked profitable on paper, it faced several execution issues like app glitches, non-functional modules, and slow payment disbursement. To fix this, we analyzed each user journey and addressed the key technical gaps."

Jitendra Dhaka

Jitendra Dhaka

CEO, Banksathi

Saurabh Arora

"Working with Ailoitte was a game-changer. They understood our vision of putting “Health in Your Hands” and delivered a beautifully designed, intuitive app. The team was proactive, skilled, and aligned with our mission throughout the project."

Saurabh Arora

Director, Dr.Morepen

Manikanth Epari

"Working with Ailoitte was a game-changer. They brought our vision for Reveza to life with seamless AI integration and a user-friendly experience, boosting in-store engagement by 25%."

Manikanth Epari

Co-Founder, Reveza

Ajay gopinath

"Working with Ailoitte was highly professional and collaborative. The team was responsive, transparent, and proactive, delivering the core requirements effectively while providing valuable architectural suggestions for voice-recognition workflows that improved performance and scalability."

Ajay gopinath

Ajay gopinath

CEO, Sanskritly

1 of 6
Ready to scale?

Information chaos ends today.

Deploy secure, conversational knowledge layers across your enterprise in 6 weeks with our AI Velocity Pods.

SOC2 Type IIISO 27001ISO 9001Enterprise RAG

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