connect AI agents

to the right data

🌴 turn messy data into reliable information

🌴 turn messy data into reliable information

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Trusted by 300+ founders, devs & builders

Trusted by 300+ founders,
devs & builders

To function at their best, AI Agents must interpret a variety of data types, from structured databases to unstructured formats such as PDFs, images and videos. We make that easy.

To function at their best, AI Agents must interpret a variety of data types, from structured databases to unstructured formats such as PDFs, images and videos. We make that easy.

The right context,

every time

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AI Agents

Choose which data sources to connect; we will continuously index documents into a memory layer, generating context for your agent.


Memory layer & RAG

Context Engineering

Zero Infrastructure Management

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AI Agents

Choose which data sources to connect; we will continuously index documents into a memory layer, generating context for your agent.


Memory layer & RAG

Context Engineering

Zero Infrastructure Management

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AI as a knowledge repository. Unlock tailored, context-aware responses that go beyond the capabilities of a standalone foundation model, delivering more precise and valuable outcomes.

AI as a knowledge repository. Unlock tailored, context-aware responses that go beyond the capabilities of a standalone foundation model, delivering more precise and valuable outcomes.

For all

AI builders

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Easy to use

1. Create projects

Create isolated context box for each application, organize and configure in a single space.

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1. Create projects

Create isolated context box for each application, organize and configure in a single space.

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2. Feed with data

Link data sources, upload documents, and external APIs to feed your systems with real, up-to-date information.

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2. Feed with data

Link data sources, upload documents, and external APIs to feed your systems with real, up-to-date information.

3. Test context

Test and evaluate how the model interprets context, fine-tuning retrieval and chunking until you achieve precise and consistent answers.

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3. Test context

Test and evaluate how the model interprets context, fine-tuning retrieval and chunking until you achieve precise and consistent answers.

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4. Consume context

Deploy to production through API or MCP server, integrating contextual logic directly in your applications and agents.

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4. Consume context

Deploy to production through API or MCP server, integrating contextual logic directly in your applications and agents.

Simple

pricing

Pay only for what you use. Scale as you grow, predictably.

No hidden fees, no infrastructure costs.

Pay only for what you use.

Scale as you grow, predictably.

No hidden fees, no infrastructure costs.

Free Tier

$0

For prototypes and tests.

FREE up to 150k tokens

FREE 50 API/MCP calls

Pay Per Use

$0.05

Scale as you grow.

For each 1k processed tokens

For each API/MCP request

Pro Plan

$15

For predictable costs.

FREE 250 API/MCP request AND 250k tokens

After that, pay as you go

40% off

Scale

$299

For large teams.

FREE 10.000 API/MCP request AND 10MM tokens

After that, pay as you go

70% off

Free Tier

$0

For prototypes and tests.

FREE up to 150k tokens

FREE 50 API/MCP calls

Pay Per Use

$0.05

Scale as you grow.

For each 1k processed tokens

For each API/MCP request

Pro Plan

$15

For predictable costs.

FREE 250 API/MCP request AND 250k tokens

After that, pay as you go

40% off

Scale

$299

For large teams.

FREE 10.000 API/MCP request AND 10MM tokens

After that, pay as you go

70% off

Free Tier

$0

For prototypes and tests.

FREE up to 150k tokens

FREE 50 API/MCP calls

Pay Per Use

$0.05

Scale as you grow.

For each 1k processed tokens

For each API/MCP request

Pro Plan

$15

For predictable costs.

FREE 250 API/MCP request AND 250k tokens

After that, pay as you go

40% off

Scale

$299

For large teams.

FREE 10.000 API/MCP request AND 10MM tokens

After that, pay as you go

70% off

TROPICALIA AI SUMMARY

Frequently Asked

Questions

What is the alternative to using Tropicalia?

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Building everything yourself from Integrating multiple data sources, constructing ETL pipelines to cleaning and transforming data, then indexing and storing it. And that SUCKS! You'll spend significant time and money fine-tuning chunking, embeddings, and metadata prompts, while also implementing security measures against prompt injections and data leaks. This requires substantial engineering resources and ongoing maintenance, exactly what Tropicalia eliminates.

Why does AI need data?

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Why are we better?

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Do we store or sell data?

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Or ask about Tropicalia using our own infra:

MEDIA COVERAGE

MEDIA COVERAGE

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© 2025 Tropicalia, LLC. All rights reserved.

Developed in the US, with Brazilian soul.