How long does implementation take?

It mainly depends on the quality of your organization's data. In most cases, implementation takes between two and six weeks.

What is the company's data protection policy?

Snap is built on a privacy-by-design principle: your data always remains under the control of your organization, and the language models that power the platform never access it directly. If you want to know more details, write to us at contacto@streamdata.cl.

What type of reports or visualizations can Snap create?

Snap can generate different types of graphics and reports adapted to each area, such as weekly summaries for a logistics team, for example. Additionally, reports are editable and can be exported to PDF.

How long do responses take and how accurate are Snap's answers?

Snap takes 30 seconds to answer a simple question and 3 minutes to answer complex questions (for example, if a report is requested). As for accuracy, in real environments it reaches 83.9%, a figure that rises to 98.6% when the tool has learned context.

Do I need technical knowledge to use Snap?

Not at all. Snap was designed with people of different profiles in mind, so you don't need previous technical experience. This means that using Snap is easy, quick, and doesn't require technical effort.

What integrations does Snap work with?

Snap connects with the most common data sources in organizational contexts: Databases: SQL and MySQL. Data files: CSV, Excel, JSON and Parquet. Context files: PDF, Word, TXT, Markdown and JSON. If you use other tools, we have good news: soon we will add integrations with REST APIs, GraphQL, BigQuery, Snowflake, SAP and Google Sheets.

Snap. Agent-Powered Text-to-Report

Snap: AI data reports

Q: What types of data can Snap work with?

Snap is quite flexible in this regard: it works with Excel, CSV, and also more advanced formats like Parquet or TSV. What's more, before any implementation we ensure that the state of your data is optimal to get the most out of it.

Snap turns your questions into intelligent reports using AI agents that query real data from your company. No inventions. No hallucinations.

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What is Snap?

AI-agent powered text-to-report platform

It is a privacy-first text-to-report platform for companies, governments, and institutions that need to turn questions into reports grounded in real data. The product connects databases, files, and internal context so specialized agents can query the right information and generate traceable answers, tables, and executive reports. It can be deployed on-premise or in a private cloud, so the organization keeps control of its data.

Privacy-First

Snap connects directly to your data sources without needing to replicate them on our servers, so your data never leaves its environment.

AI Agents

Specialized agents query your data sources to extract real information, so they cannot invent data to answer your questions.

Text-to-Report

Convert natural language questions into structured executive reports in minutes.

They trust us

Featured in

Diario Concepción — StreamData: una tecnología UdeC para democratizar la información El Mercurio — Proyecciones de sillacaliente.cl para la camara de diputados CIPER Chile — Inteligencia artificial versus encuestas: una nueva disputa por entender al votante

Awards and programs

Science with Impact Award - University of Concepción (2025)

Start-Up Chile Build (2025) and Ignite (2026)

Inside the platform

Query, plan, and generate reports from real data in one interface.

1Quick questions2Reports3Select your data source4Context5Programs

Average report time

~ 30sChat mode

< 3minReport mode

Precision

98.6%Real use case + learned context

Privacy

100%Guaranteed

Baseline precision without additional configuration: 83.9%.

Precision measures the percentage of correct responses against a reference set of questions and real client data. The real use case evaluates production queries without additional context; the learned context case includes organization-specific definitions and rules.

Proven in practice

Real data. Verifiable results.

Sillacaliente, by Streamdata, was Chile's most accurate poll-free electoral projection system, with a margin of error under 1% in the 2025 presidential runoff. Our numbers aren't promises: they're results measured in production with proven capabilities.

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Frequently asked questions

Snap is quite flexible in this regard: it works with Excel, CSV, and also more advanced formats like Parquet or TSV. What's more, before any implementation we ensure that the state of your data is optimal to get the most out of it.

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Talk directly to our team. No forms, no waiting.