Private AI for medium and large enterprises

Private AI that runs on your systems, not someone else’s.

AIVeda deploys AI inside your own environment, on top of the systems you already run, with ready-to-use agents built in and custom models where your work needs them. Your data stays with you, your costs stay predictable, and nothing is stitched together from rented parts.

Your data stays in your environment  ·  Our own models, including voice  ·  Works with the AI models you choose

AIVedaplatformKnowledgeDocumentsVoiceChatContentVisionERPCRMMicrosoft 365Core bankingDatabasesYOUR SYSTEMS · UNCHANGEDYOUR ENVIRONMENT · ON-PREM OR CLOUDData stays inside
Working with teams at
OJI
LPS Bossard
Shaurrya Teleservices
Alef Education
iSikCure
State Bank of India
Amherst
Sub-K IMPACT Solutions
Absa Bank
Standard Bank
Why private AI

What changes when the AI is yours

Most AI services today are stitched together: a voice from one vendor, a language model from another, the cloud from a third, and a bill for every minute and every message. It works in a demo. At scale it gets expensive, and it gets exposed.

The usual setupStitched together
Your data
Voice vendorbilled per minute
Model vendorbilled per message
Cloud vendorbilled per hour

Your data leaves at every step. Three contracts, three bills, and no one owns the whole result.

With AIVedaOne platform, inside your walls
Your environment
Your data
AIVeda platformLanguage · Voice · Vision · Agents

Your data stays put. One infrastructure cost you can plan for, and one team accountable for all of it.

01

Your data stays where it lives

Customer records, documents and call recordings are processed inside your environment, under the DPDP Act and your sector’s rules. Nothing is sent to a third-party AI service to be useful.

02

Costs you can plan for

No per-minute or per-message price that a supplier can raise overnight. You run it on infrastructure you control, at a cost you can budget for a year ahead.

03

Nothing rented, nothing stitched

Our own models for language, voice and vision, rather than a wrapper around someone else’s. One team is accountable for how all of it performs.

04

Custom where it counts

Ready-made models do not know your products, your customers or your rules. We adapt them to your data, or build new ones, where the job needs it.

What we do

Four ways to work with us

Each one starts with your systems and your data, and ends with something running in production.

Custom AI Solutions

AI built for one job in your business: an agent that reads and files incoming documents, one that follows up on overdue payments, or a model that forecasts demand and warns you before a machine fails.

You getOne process automated end to end, live on your systems.

Learn more →

Enterprise AI Solutions

AI across the organisation, running inside your controls (your data, your security rules, your existing systems), with one partner accountable from the first workshop to the second year of running it.

You getAI across teams, under one set of security rules.

Learn more →

AI Consulting & Strategy

Where AI will pay in your business, in what order, and what each step costs. A prioritised plan with numbers, from people who also build and run what they recommend.

You getA costed, prioritised roadmap you can act on.

Learn more →

Private LLM Deployment

Your own ChatGPT-style AI, deployed on your servers or in your cloud account, trained on your data and controlled by your team. Use our models, or the ones you have already chosen.

You getYour own AI assistant, running inside your environment.

Learn more →

Not sure where to start? Prove it first.

A 4-week pilot on your real data, with one agreed metric and a written go / no-go at the end.

Also from our team: Data services · Cloud & platform

The AIVeda platform · LIRA LLM

One private AI platform. Use it as it is, or have us build on it.

We built this platform to run our own products first: voice, vision and agents that work in production every day. The same platform now runs inside our customers’ environments, on top of the technology they already have.

Deploy the platform in your environment and use the agents that come with it. Your team configures them for your processes; we support you after go-live.

The fastest route: working agents on your data in weeks.

We build custom models and agents for your workflow on the same platform, or on the AI model you have already chosen. The services and the platform are one offer, not two.

The right route when the job is specific to your business.

You do not need to switch anything off. Your existing systems and agents keep running; we move workloads across one at a time, as each one proves itself.

The route for teams that already run AI and want it private.

Highlighted in the diagram: the layers this route uses.

Built fully custom, or accelerated by our own LLM and inference stack where it speeds delivery. The choice is yours.

Agents

Ready-to-use AI agents, built in

Agents that do one job end to end (answer, check, call, write, watch) on top of the systems you already run. Use them as they are, combine them into multi-agent workflows, or have us adapt them to your process.

Knowledge

Knowledge agent

Answers questions from your documents, policies and databases, with the source for every answer, and only from what the person asking is allowed to see.

See the agent →

Documents

Document & compliance agent

Reads KYC packs, claims, invoices and contracts, checks them against your rules, and flags the exceptions for a person to decide.

See the agent →

Voice & chat

Voice agent

Handles reception, reminders, collections and customer calls in Indian languages, on top of your CRM or ERP, with a person one transfer away.

See the agent →

Voice & chat

Chat & WhatsApp agent

Answers customers on WhatsApp and web chat from your own data, and hands the conversation to your team when it should.

See the agent →

Content

Content agent

Produces documents, courses, campaigns and video from your own material, in your brand voice, with your approval before anything goes out.

See the agent →

Vision

Vision AI agents

Multisensory vision agents for safer, smarter operations: inspection, counting and safety alerts on the factory floor, in the warehouse and on site.

See the agent →

Workflows

Multi-agent workflows

Combine them. Agents that hand work to each other (read, check, decide, act, log), with your people approving the steps that matter.

See the agent →

  1. Read
  2. Check
  3. Decide
  4. Person approves
  5. Act
  6. Log
What we’ve built

Products we run for customers every day

Built on our own platform and working in production. They are the proof behind everything above, and each one can be deployed as it is or adapted to you.

Voice AI

LIRA Voice

Our AI calling and chat agent for bookings, selling, reminders, collections, verification and customer calls in Indian languages, on our own voice models, not rented ones.

See it →

Vision AI

LIRA Vision

Vision AI at the edge: cameras that inspect, count and flag safety issues in real time, on site.

See it →

Agents · launching soon

LIRA Unity

AI agents that take a task from start to finish: read the request, check the systems, decide, act and log it.

See it →

Content

Content AI

Structured, personalised, on-brand content: documents and video generated from your own material at scale, in your brand voice.

See it →

Start with a 4-week pilot

Four weeks, one success metric, one written recommendation. You keep everything we build.

  1. Week 1 · Agree the goal

    Your data, the metric that matters, and the security rules we work within.

    You getA one-page scope and success metric
  2. Week 2 · First working version

    The system running on your real data, connected to the systems it needs.

    You getA working version on your data
  3. Week 3 · Make it accurate

    Test against your metric, fix the edge cases, measure speed and cost.

    You getAn accuracy, speed and cost report
  4. Week 4 · Decide

    Live demo, the cost to run it, a production plan and a clear go / no-go recommendation.

    You getA go / no-go and a production plan

Scoped to the outcome

A fixed price for the pilot and fixed-price phases for production, quoted before you commit, not billed by the hour. The pilot fee is credited against the build if you go ahead.

How the pilot works →

You keep the IP

Code, data pipelines and models built in the pilot are yours, whether or not you continue.

Already built something?

If your team has a prototype (or an app built with AI tools), we take it to production: security review, load, integration, go-live.

Prototype to production →

Industries

Manufacturing

Vision AI agents for inspection and safety; production data connected to planning and maintenance.

AI in manufacturing →

Insurance & financial services

KYC and claims document checks, reminder and collections calls, and risk models for NBFCs, digital lenders and insurers, designed with your compliance team.

AI in insurance →

Healthcare

Reception and patient-management agents on top of your hospital system, with health data kept inside your environment.

AI in healthcare →

Telecom

Voice and chat agents on customer data, at call-centre volumes.

AI in telecom →

Why AIVeda

One team owns the whole thing: the models, the platform they run on, the products built on it, and the people who keep it running.

Our own models, including voice

Not a wrapper around someone else’s model, and no voice rented by the minute. That is what lets us stand behind accuracy and cost.

Your choice of model

Built fully custom, or accelerated by our own LLM and inference stack where it speeds delivery. The choice is yours. We work alongside the AI you already use.

Your environment, your data

On your servers or in your cloud account. Nothing leaves to be processed elsewhere.

The team that builds it, runs it

Monitoring, updates and support after go-live, from the same engineers. No hand-off to a helpdesk.

Built to the standards your security and legal teams expect

You own everything we build

Every piece of code, every pipeline and every model trained during the engagement is your company’s property, including what we build in the pilot.

Everything runs in your environment

On your cloud account or your servers, inside the access controls your security team already sets. Nothing is processed elsewhere.

Built for your regulators

Data residency and consent under the DPDP Act, and sector rules (RBI for lenders, IRDAI for insurers, health-data rules for providers), designed in with your compliance team before go-live.

Questions we get asked

What does AIVeda do?

AIVeda is a private AI company. We deploy AI inside your environment, on top of the systems you already run, with ready-to-use agents built in and the ability to host custom models trained on your data. We also build custom and enterprise AI solutions on that platform, and advise on where AI will pay.

What is private AI, in plain words?

AI that runs on your servers or in your own cloud account rather than on a vendor’s. Think of a ChatGPT-style assistant that only your people can use, that answers from your data, and that never sends that data anywhere else.

Public AI services look cheaper. Why private?

For a pilot, they often are. At scale, per-minute and per-message prices add up and can be changed by the supplier at any time, your data leaves your control, and compliance gets harder. Private AI gives you a cost you can plan, data that stays put, and a system you own.

Do we have to replace the AI tools and agents we already use?

No. Your existing systems and agents keep running. We move workloads across one at a time, as each one proves itself, and we can work with the AI models you have already chosen.

What are AI agents, and which ones do you have?

An agent is AI that does one job end to end: answering from your documents, checking a KYC pack, making a reminder call, drafting content, watching a camera feed. Ours come built into the platform and can be combined into workflows or adapted to your process.

Does our data leave our environment?

No. We deploy on your servers or in your cloud account. Your data is not sent to a third-party AI service to be useful, and your security team reviews the set-up before go-live.

How does the 4-week pilot work?

We agree one goal and one metric in week one, build a working version on your real data by week two, make it accurate in week three, and hand you a demo, the running cost and a go / no-go recommendation in week four. It is a fixed price agreed before you start, and credited against the production build if you continue.

Which systems do you integrate with?

SAP, Salesforce, Microsoft 365, Zoho, LeadSquared, core banking and custom CRMs, hospital and ERP systems, telephony platforms, and the databases you already run. Integration is mapped in week one of the pilot.

Can we see a demo?

Yes. LIRA Voice, LIRA Vision and our agents can all be demonstrated. For custom work, the honest demo is the 4-week pilot on your own data. A demo on someone else’s data proves very little.

How do you price an engagement?

Scoped to the outcome, not billed by the hour: a fixed price for the pilot and fixed-price phases for production, each quoted before you commit. The pilot fee is credited against the build.

Talk to us

Tell us what you want AI to do in your business and which systems it would touch. An engineer, not a salesperson, replies within one business day with how we would approach it.

Start the conversation

Share the process, the systems it touches and what you want AI to do. One reply, from an engineer.

No sales sequence, no newsletter.

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