A

Your organisation's
knowledge, finally
at work.

Helping organisations become Future Ready.

Everything your organisation has ever produced — contracts, board minutes, strategy decks, investor updates, emails, meeting decisions, even your accounting ledgers — becomes one governed intelligence asset your teams can search, cite, compare, generate from, and act on.

Ayudh installs inside your infrastructure, learns your institutional language, and turns decades of accumulated knowledge into execution-grade intelligence. Your data never leaves your control.

On-premise · Data never leaves your control
16 Indian languages
Tamper-evident audit trail
Per-installation pricing
Your choice of AI models — local, API, or both
Why AI fails inside enterprises

The board approved AI.
The enterprise still cannot use it.

Not integrated into workflows
Most AI sits beside your systems, not inside them. It produces suggestions that someone must manually transfer into the actual workflow. The output is disconnected from the process it is meant to serve.
Not auditable
When an AI produces an output, can you trace how it was generated? Which documents were consulted? What reasoning was applied? If the answer requires a meeting to determine, the system is not enterprise-ready.
Not deterministic
The same input can produce different outputs. In finance, legal, and procurement, this is unacceptable. A system that cannot reproduce its own results cannot be governed, audited, or trusted.

Ayudh turns AI from a side tool into enterprise infrastructure.

It reads the documents your business actually runs on, respects access permissions, records critical operations, and produces outputs your teams can defend.

A real example: A frontier AI chatbot turned the handwritten reference number "7774" on a Hindi government letter into garbled Devanagari. The output was polished. It was also wrong. Ayudh's pipeline read the same letter correctly. Read the full story →

The platform

One knowledge layer.
Every stream. Every module.

Ayudh is an operating system for organisational intelligence. Modules are applications built on one shared knowledge layer — documents, mail, meetings, and business data, ingested once, governed everywhere. Adding a module never means re-ingesting what you know.

Ask
Knowledge Chat
Ask questions across everything your organisation knows. Every answer carries a receipt — the sources, the reasoning, the verification state.
Research & Reports
Multi-section research reports sourced from your corpus. Embedded charts, three depth levels, exportable to Word.
Make
Legal Automation
A negotiated term sheet becomes a finished contract in minutes. Native Word tracked changes a lawyer can accept or reject.
Compare & Summarise
Structural diff between any two documents. Executive summaries, risk-scored findings, batch processing.
Generate & Present
Documents, memos, and board presentations composed from your knowledge — every claim traceable to its source before you present it.
Comes to you
Meeting Intelligence
Joins meetings, transcribes, identifies speakers, and turns decisions into tracked action items with owners and due dates.
Mail Intelligence
Your mailboxes become searchable knowledge. Draft replies grounded in your documents. You always press Send — Ayudh never sends on its own.
Business Insights
Working-capital, receivables, and portfolio analytics straight from your accounting data. Every number is computed, never generated.
Projects & Matters
Every engagement's documents, mail, meetings, and tasks in one matter file. Launch any module from inside the project.
…and more on the same layer — entity dossiers, media intelligence, document vision. See the production platform →
The layer is active

Most AI waits to be asked.
Ayudh comes to you.

The Briefing Center watches every stream — documents, mail, meetings, deadlines — and delivers cited briefing items before you think to ask. Not another feed: every item carries its receipt, so you can trust it at a glance or trace it to the source in one click.

What changed
A policy superseded, a contract amended, a new board decision that contradicts an old one. Ayudh notices and tells the people it affects.
What's due
Action items from meetings, renewal dates buried in contracts, follow-ups promised in mail threads. Tracked to completion, not to a transcript.
What conflicts
Two documents that disagree, a draft that contradicts a signed agreement, a number that doesn't reconcile. Surfaced before it costs you.
Where it works

Concrete workflows.
Measurable outcomes.

01
Legal
Workflow: Term sheet + boilerplate → redlined agreement with tracked changes.
Outcome: Contract drafts in minutes. Lawyers review highlighted changes with source traceability instead of rebuilding the document from scratch.
02
Finance
Workflow: Document portfolios → extracted deal economics, cross-document analysis.
Outcome: Due diligence shifts from reading to evaluating. Portfolios become searchable, comparable, and decision-ready with source attribution.
03
Procurement
Workflow: Supplier agreements → comparative analysis, deviation detection, term extraction.
Outcome: Institutional contract knowledge becomes searchable. Comparison that took days takes minutes.
Explore all use cases →
Model freedom

One gateway.
Every model.

Run open models on your GPUs. Bring your own provider accounts and subscription plans. Or mix both. The Ayudh Gateway routes every AI call by task, data sensitivity, and user seniority — and balances load across everything you own, the way an internet gateway bonds multiple lines into one.

your GPU servers ──┐ your API accounts ─┼──▶ AYUDH GATEWAY ──▶ every module your cloud plans ──┘ routes · balances · governs
Model freedom
Swap models, add providers, or go fully local — configuration, not reinstallation. Your AI strategy is never hostage to one vendor.
Sensitivity rules
Data classed as restricted physically cannot leave your network. Fail-closed and architecturally enforced — not a policy promise.
Tiered access
Give senior staff premium models and juniors standard ones. Tiers govern model quality only — never who can see what data.
Complete egress log
If an external model is ever used, the log records what class of data went where and when. Never the content itself.
Built for enterprise

Your infrastructure.
Your control.

Ayudh is installed on your hardware. No data leaves your environment. Every inference runs on your machines. This is architecturally enforced, not policy-dependent.

Runs on your infrastructure
Local-first AI on your hardware. If you choose to add your own external model accounts, sensitivity rules and an egress log govern every call — and restricted data never leaves. Your choice, architecturally enforced.
No data leaves your environment
Document content, party names, financial terms — nothing transmitted externally.
Full audit trail
Hash-chained, tamper-evident. Every change recorded.
Role-based access control
Per-user, per-document permissions. MFA. SSO.
16 Indian languages
Hindi, Tamil, Bengali, Marathi — scanned, handwritten, mixed-script documents read natively.
What Ayudh is not
A chatbot that generates suggestions
A generic AI tool bolted onto existing systems
An external API layer that sends your data to the cloud
What Ayudh is
A complete knowledge platform — production modules on a shared intelligence layer. Not a single-purpose tool.
On-premise by design — Your data, your hardware, your control. Not "cloud-optional."
Receipts on every output — Every answer ships with a receipt: which sources, which reasoning, which verification state. Source-backed, derived, or explicitly ungrounded — always labeled, never hidden.
“The lock-in period under the 2024 SHA is 36 months from the closing date.”
sourceShareholders_Agreement_2024.docx · Clause 8.2
statesource-backed
traceretrieved → verified against source → cited
Perspectives

Why AI fails in production.

01
When the Document Layer Fails, the AI Fails
The intelligence a system can produce is bounded by the quality of the documents it can read. Most enterprises have a document problem, not an AI problem.
Ayudh · Perspectives
02
AI Reduces Reading. It Does Not Reduce Responsibility.
A lawyer who relies on an AI summary without reading the contract is still the lawyer of record. The accountability has not been delegated.
Ayudh · Perspectives
03
How to Tell an AI Wrapper From an AI Business
If the product disappears the moment the underlying model API changes its pricing, it was never a business. It was a feature in someone else's roadmap.
Ayudh · Perspectives
04
Hallucination Is Not an AI Problem. It's a Validation Problem.
The solution to hallucination is not a better model. It is a system that checks every output against its source before it reaches a human.
Ayudh · Perspectives
Read all insights →
See Ayudh

See what happens when enterprise knowledge becomes infrastructure.

Ayudh Brand Film · 71 seconds
Bring the documents
your business depends on.
We will show you Ayudh reading, tracing, briefing, and generating — inside your control boundary, on your real documents.
Request Demo
Garima Gairola, Founder  ·  [email protected]