ENTERPRISE-GRADE AUTONOMY, BUILT END-TO-END

Most enterprise AI searches your data. Avataar understands it. One unified intelligence layer that embeds your business logic, learns from every workflow, and powers agents that act on your business processes, grounded in your operational logic.

Most enterprise AI fails because it doesn't
understand you

01

Zero context about your domain

Most agentic workflows are built as generic LLM wrappers, with little awareness of enterprise operations. They can execute tasks, but they do not understand your business objects, rules, or vocabulary, leading to shallow decisions.

02

Data integration takes months

Connecting enterprise data pipelines to AI systems requires massive engineering investment, before you see a single result.

03

Automation without intelligence

Most AI tools automate tasks without understanding why those tasks exist. The result: faster mistakes, not better outcomes.

How the Avataar platform works

Your data is organized into meaningful context through Tattva, the central intelligence layer that helps AI understand how your business actually works.

Vega, your Catalyst for rapid deployment, gets you started quickly with ready workflows, while Tapas, your Turbo layer for deep intelligence, builds custom intelligence over time.

Built on a unified foundation, every workflow feeds back into the system, continuously learning, improving, and becoming smarter with use.

Shared Memory & Connectors

Five-layer memory system that accumulates intelligence with every workflow. Enterprise data stays in your environment, never commingled across clients.

Semantic Intelligence Layer

The brain of the enterprise. Models your business as structured entities, named relationships, and governed actions. Agents reason over your operations, not raw text.

Continuous Learning System

Every workflow strengthens the system, turning usage into long-term, compounding intelligence that’s harder to replicate over time.

Start fast. Scale deep.

Built on a shared intelligence layer, Vega, the Catalyst for rapid deployment, and Tapas, the Turbo layer for deep intelligence, work as one system. What starts fast evolves into deep, custom intelligence over time, without rebuilding from scratch.

Catalyst for rapid deployment

VEGA

Deploy production-ready agentic workflows in days. Built for standardised enterprise tasks, rapid validation, and fast time to value.

Templated Workflows

Pre-built industry patterns for immediate utility

Optimised Orchestration

Intelligent LLM routing for efficiency

Industry-Ready Intelligence

Bootstrap graphs for common domain datasets

Best for teams who want to prove value fast before committing

1-5 days template Tattva
2-4 weeks customized workflow

Turbo for deep intelligence

TAPAS

For high-value, mission-critical workflows requiring deep domain expertise, where your enterprise logic is codified into accurate, cost-efficient intelligence.

Custom Ontology Design

Digital mirror of your specific business logic

Task-Specialised Models

Higher accuracy with lower inference cost

Field Engineering Partnership

White-glove integration support

Best for teams with complex processes that need full ownership

12 weeks deployment
Custom built for your domain

The Central Organizational Brain

Tattva is the unified intelligence layer behind Vega and Tapas. It transforms your data into a consistent, sovereign, and actionable system across every stage of deployment.

Knowledge Sovereignty

Your data never leaves your governance boundary

Explainable and Transparent

Every agent decision is grounded in named entities, traceable relationships, and governed actions - not black-box inference.

Continuous Intelligence

Every workflow execution enriches the entity graph. After 6 months, agents operate with accumulated operational context no competitor can replicate.

Domain-Agnostic Architecture

The same entity-relationship-action framework works for healthcare claims, supply chain, finance, and compliance. One architecture, any domain.

Results that compound over time

From medical coding to invoice automation, these are production results from real enterprise deployments, not benchmarks. Powered by Tattva’s intelligence graph and task-specialised models built for your domain.

Avataar in production

~95%

Accuracy at domain-specific tasks

Diff-TSM models achieve 97–99% task accuracy on domain-specific benchmarks, outperforming frontier LLMs on the tasks that matter to your business, not general ones.

TAPAS | TURBO

85%

Cost reduction

Task-Specialised Models delivers same accuracy as frontier LLMs at a fraction of the inference cost.

TAPAS | TURBO

100%

IP Ownership

Your data never leaves your environment. Models trained on your domain are yours entirely — not retained, not shared, not used to improve anyone else's system.

TAPAS | TURBO

90%

Reduction in invoice generation time

Agentic workflows eliminate manual invoice preparation and cut time from hours to minutes with structured entity grounding ensuring accuracy.

VEGA | CATALYST

$35-50

Average revenue recovered per claim

Per underpaid claim recovered via automated appeal workflows grounded in data, revenue your practice has already earned.

VEGA | CATALYST

1-5 days

Deployment speed

Connect your data, map your business entities, and deploy production-ready agentic workflows, all within a single working week, on your actual data, not a demo.

VEGA | CATALYST

For more details, read our recent technical report on TSMs →

Connected to your enterprise data in days, not months

Enterprise data onboarding handled from day one. Automated schema mapping means your agents are working on real data from the first day of your sprint, not a sandbox.

DATA CONNECTORS

500+ bidirectional enterprise connectors

Pre-built connectors covering every major enterprise system. Structured or unstructured, batch or streaming, modern or legacy. Your data is connected and agent-ready without a single custom integration.

AGENTIC ACCESS

Every data source becomes an agent tool

Connected datasets are automatically exposed as callable tools through the MCP server. Avataar’s agents query your data in real time with access controls enforced at the source.

DATA CONNECTORS

Deep document understanding

For document-heavy Tapas deployments like healthcare records, legal contracts, and financial reports, composable RAG pipelines feed entity-linked document embeddings into the intelligence graph.

Ready to see it on your data?

Bring your data into the platform, generate your intelligence graph, and run real workflows within days. Start with a working system, then scale it based on what delivers value.