Enterprise AI & Data Aggregation

AI that connects to
the real world.

Lytr builds AI systems that work with live, authenticated business data — not just documents and databases, but the actual web applications your enterprise runs on. We turn fragmented data into structured intelligence.

Talk to Us See Our Capabilities

Lytr Data Pipeline

Sources Websites · CRM · Intranet · Internal Databases

AI Agent Navigate → Authenticate → Extract → Structure

Enrich Deduplicate · Normalize · Cross-reference

Output Unified, structured dataset — ready for analysis

No APIs required. No scraping. If your team can see it, Lytr can aggregate it.

What We Do

AI-native data pipelines
for the enterprise

Traditional data aggregation uses brittle scrapers and manual integrations. Lytr's approach is AI-native — intelligent agents that understand page structure, navigate authentication, and deliver structured data.

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Aggregate Anything

If your team can see it in a browser, Lytr can aggregate it. Orders across 25 pages, candidate profiles across directories, vendor catalogs across portals — structured and unified automatically.

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Agentic AI Workflows

Our AI agents plan, execute, and iterate autonomously. They navigate authenticated web applications, extract data, and handle multi-step workflows without human babysitting.

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RAG-Powered Intelligence

Retrieval-Augmented Generation grounds AI responses in your real enterprise data — not hallucinations. Connect your knowledge base, documents, and live data sources for accurate, context-aware AI.

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MCP Integration

We build on the Model Context Protocol — the open standard for AI tool integration. Connect any MCP-compatible AI model to your data through Lytr's infrastructure.

⚙️

AI Skills Architecture

Composable, domain-specific AI capabilities that can be mixed and matched for your use case. Each skill is a self-contained automation module — reusable across projects and teams.

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Structured Data Output

Raw web pages in, clean CSV, JSON, or database records out. Lytr's pipelines deduplicate, normalize, and cross-reference data from multiple sources into analysis-ready formats.

Why Lytr

The authenticated web is
the last data frontier

Public web data is commoditized. The real value — your orders, your contacts, your dashboards, your accounts — lives behind logins. Lytr's thesis: browser-native AI is the right abstraction to unlock this data responsibly.

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SaaS data silos

Your enterprise runs on dozens of web applications — procurement, HR, logistics, finance. Each one is a walled garden with no interoperability. Data lives in screens, not in systems you can query.

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Most data has no API

Vendors promise integrations but deliver partial, rate-limited APIs — if they offer one at all. The information your team accesses daily through the browser often has no programmatic path.

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Brittle scrapers break constantly

Traditional screen scraping relies on CSS selectors and DOM structure that change with every UI update. Maintenance costs grow linearly with every data source.

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Authenticated data is the hardest

The most valuable enterprise data sits behind logins. Headless browsers with stored credentials create security risks. Sharing service account passwords with automation tools is a compliance nightmare.

Our Product

Makers of AI-Do

AI-Do

AI-Do is Lytr's browser automation platform — a browser extension that lets AI agents see and interact with real web pages in the user's authenticated session. It supports 18 automation tools across navigation, page inspection, and interaction, and integrates with any MCP-compatible AI model.

User-controlled permissions ensure the AI only accesses what's explicitly approved — one page at a time. Available for Chrome and Firefox.

Try AI-Do View on GitHub

18 Automation Tools

MCP Protocol Native

2 Browsers Supported

ARIA Semantic Page Understanding

How We Build

Built on the AI stack that matters

Open standards. Proven architectures. No proprietary lock-in.

MCP

Model Context Protocol

The open standard for AI tool integration. Every Lytr system speaks MCP natively — connect any compatible AI model to your data infrastructure.

AI Skills

Composable AI Capabilities

Domain-specific automation modules that can be mixed, matched, and extended. Each skill encapsulates expertise — from data extraction to workflow orchestration.

RAG

Retrieval-Augmented Generation

AI grounded in your real data, not imagination. Lytr's RAG pipelines connect models to live enterprise knowledge bases for accurate, context-aware intelligence.

Agents

Agentic AI Architecture

Autonomous AI agents that plan, execute, observe, and adapt. Multi-step workflows handled end-to-end — navigate, extract, transform, and deliver without manual intervention.

AI that connects to the real world.

AI-native data pipelinesfor the enterprise