Alemia
Alemia is an AI data analytics platform for non-technical teams. Upload CSV, Excel or JSON files, connect a database, then ask questions in plain English to get statistics, interactive charts, forecasts and polished PDF reports.
What is Alemia?
Alemia is a web-based data analytics platform built on a simple premise: anyone should be able to interrogate a dataset without knowing SQL or Python. Published by Alemia AI, a San Francisco company, it covers the whole path from raw file to finished report.
You begin by bringing data in. Alemia accepts CSV, Excel (.xlsx and .xls) and JSON files by drag and drop, and connects directly to PostgreSQL and MySQL databases or to a Google Sheets workbook. Its processing engine detects column types, handles missing values and validates the structure before any analysis starts.
The core interaction is conversational. You type a question in ordinary English — the site's own examples are Show me sales by region and What's the trend in customer satisfaction? — and the platform returns statistics, patterns, anomalies and a data-quality assessment. It also detects the industry your data belongs to in order to frame its commentary.
Predictive work sits alongside descriptive analysis. Alemia runs time-series analysis, regression and classification to produce forecasts over a horizon of 1 to 365 days, with optional seasonality and anomaly detection, and returns confidence intervals. Forecasting uses linear models on the Plus plan and machine-learning models on Pro.
Results become visuals: bar, line, scatter, pie and heatmap charts, each customisable in type, colour and labelling across five presentation themes. A separate PDF Design Studio assembles them into reports, laying out pages automatically, improving written passages with AI, and applying your themes, colours and logo. Finished work leaves the platform as CSV, Excel, JSON, PDF or PowerPoint — and, on Pro, as parquet, feather, h5 or pickle — or is shared by link, email or Slack.
The product is organised into four solution areas: Data Analytics and Visualization, AI-Powered Insights, Forecast and Prediction, and PDF Design Studio. It ships as a progressive web app, installable but with no native store listing, and sign-in runs through email, Google or GitHub. Pricing is freemium across three tiers. The publisher is young: its own schema data gives a founding year of 2024 and the domain was registered in August 2025.
What it does
- Answer questions about your data asked in plain English, with no query language
- Produce statistical analysis, pattern discovery and anomaly detection automatically
- Build interactive charts: bar, line, scatter, pie, heatmaps and dashboards
- Generate forecasts and predictions with confidence intervals over 1 to 365 days
- Connect PostgreSQL, MySQL and Google Sheets alongside CSV, Excel and JSON uploads
- Assemble AI-formatted PDF reports carrying your own themes, colours and logo
- Export to CSV, Excel, JSON, PDF, PowerPoint, parquet, feather, h5 or pickle
When to use Alemia / When not to
A quick filter to help you decide if Alemia is the right fit.
When to use Alemia
- Business teams that need answers from their own data without writing a line of code
- Startups and small companies whose analytics budget stops well short of a BI licence
- Analysts who must turn spreadsheets and SQL tables into charts and forecasts quickly
- Managers who present results and need publication-ready PDF or PowerPoint reports
- Departments juggling files, Google Sheets, PostgreSQL and MySQL who want one place to query them all
When not to use Alemia
- Organisations handling regulated or sensitive data, since no privacy policy, DPA or hosting location is published
- Teams working with large datasets: files are capped at 2 MB on the free plan and 100 MB on Pro
- Developers wanting to build on the API, which is sold with the Pro plan but has no published documentation
- Heavy users who would exceed 250 AI requests per month, the ceiling on every plan including Pro
- Anyone who needs an interface in a language other than English
How to use Alemia
A typical end-to-end flow, from setup to results.
- Create an account with an email address, a Google account or a GitHub account: no payment card is required
- Upload a CSV, Excel or JSON file by drag and drop, or connect a PostgreSQL or MySQL database or a Google Sheets workbook
- Check the data preview and confirm that the detected column types are correct
- Ask a first question in plain English, starting simple before moving to more complex analysis
- Review the automatic statistics, the patterns found and the suggested insights
- Refine your questions in the light of what the first answers reveal
- Run a forecast or a prediction, choosing the horizon, the unit and the target column
- Customise the resulting charts: chart type, colours, labels and interactive elements
- Assemble a report in the PDF Design Studio and let the AI improve the written sections
- Export to PDF or PowerPoint, or share the result by link, email or Slack
Pros & Cons
Pros
- No technical skill required: questions are asked in plain English and no code is written
- A genuine permanent free plan that does not ask for payment details
- Low and readable entry pricing at USD 19.99 per month, with 17% off on annual billing
- The whole chain in one tool: import, analysis, forecasting, visualisation, reporting and sharing
- Direct database connections to PostgreSQL and MySQL, not file uploads alone
- An unusually wide export range, reaching parquet, feather, h5 and pickle on the Pro plan
- A clear and repeated commitment never to train AI models on customer data
Cons
- No privacy policy is published at all, although the Terms and the documentation both point to one
- No Data Processing Agreement, no subprocessor list and no Article 27 representative for the EU
- No hosting country or region is disclosed anywhere on the site
- API access is sold with the Pro plan but no API documentation is published
- Tight quotas: 15 AI requests a month and 2 MB per file on the free plan, 250 requests even on Pro
- Short file retention, only three days on the free plan
- Internal inconsistencies, including upgrade screens still quoting USD 9.99 for a plan priced at 19.99
Pricing & Plans
Alemia operates on a freemium basis. A permanent free plan is available at no cost and requires no payment details. The lowest paid tier is Plus at USD 19.99 per month, or USD 199.99 per year; the highest is Pro at USD 39.99 per month, or USD 399.99 per year. Annual billing carries a stated saving of 17%, and a 14-day free trial is offered on the paid plans.
- 5 files
- 2 MB maximum file size
- 15 AI requests per month
- 1 advanced insight
- 1 forecast and 1 prediction per month
- 10 global PDF edits per month
- basic analytics
- CSV export
- 25 files
- 25 MB maximum file size
- 100 AI requests per month
- 25 advanced insights
- 15 forecasts and 15 predictions per month
- 50 PDF AI edits and 50 global edits per month
- 50 file comparisons per month
- PDF themes
- 50 files
- 100 MB maximum file size
- 250 AI requests per month
- unlimited advanced insights
- 200 forecasts and 200 predictions per month
- 100 PDF AI edits and 100 global edits per month
- 200 file comparisons per month
- priority support
Data, GDPR & hosting
A consolidated view of how Alemia handles your data.
GDPR overview
Alemia's GDPR position rests on a single claim: a comparison page describes the product as GDPR and SOC 2 compliant. Beyond that sentence there is no compliance documentation at all. The site publishes no privacy policy, even though both the Terms and the platform documentation refer readers to one; no Data Processing Agreement; no list of subprocessors; no Article 27 representative for the European Union; and no GDPR or data protection officer contact address. The robots file blocks a /data-protection/gdpr path, but no such page exists in the application. Data subject rights appear only in functional terms on the security page: users can export, delete or request complete removal of their data through account settings. Governing law is the State of California and the publisher declares no European establishment.
Who owns the data?
Alemia's Terms and Conditions state that you keep ownership of everything you upload, and that the company claims no ownership over your data or your intellectual property. In exchange you grant Alemia a limited, non-exclusive, royalty-free licence to use, process and store that data for the sole purpose of running the service. You remain responsible for holding the right to upload and process the files in the first place. Access is described as yours alone: the security page states that staff cannot see your content, that role-based controls and audit logging apply to every data operation, and that you may export or delete your data at any time.
Reuse rights
You may reuse your own material freely. You keep all rights to the data you upload and to anything you produce with the platform, so charts, reports and exports can be published, circulated or reused without asking permission. Alemia's own use is deliberately narrow: processing your data to return answers and insights, and nothing beyond that. The company states that it never trains its AI models on customer data and never shares that data with third parties. Nothing in the Terms grants Alemia a marketing, publication or resale right over your content, and the licence you grant ends with the purpose it was granted for.
Data retention & training
Hosting summary
Alemia does not disclose where customer data is hosted. No country and no region is named anywhere on the site, and there is no privacy policy in which such a statement would normally appear. The company describes its infrastructure only in general terms: secure data centers and enterprise-grade cloud infrastructure with SOC 2 Type II compliance. The security page does name the underlying database, stating that customer data sits in a Supabase PostgreSQL database with built-in encryption, which points to a managed cloud service but still says nothing about jurisdiction. Protection is described far more precisely than location: AES-256 encryption at rest and in transit, TLS 1.3 for transmission, and a separate encrypted partition with its own access keys for each customer. The publisher is established in San Francisco and the Terms are governed by California law, so United States jurisdiction is the reasonable working assumption, though the site never confirms it. Note that the domain resolves to a Cloudflare anycast address, which identifies a CDN edge node and reveals nothing about where data actually resides.
Things to keep in mind
Risks and trade-offs to weigh before adopting Alemia.
- Trusting a generated answer without checking it: a confident chart can still rest on a badly typed column or a misread question
- Uploading data you are not entitled to share, a responsibility the Terms place entirely on you
- Sending personal or regulated data to a service that publishes no privacy policy, no DPA and no hosting location
- Losing the habit of interrogating data yourself, and with it the ability to notice when the AI's framing is wrong
- Building a workflow on the free plan and discovering that uploaded files are deleted after three days
- Treating forecasts as certainties: the models return confidence intervals for a reason, and a 365-day horizon on thin history is speculation
- Depending on a very young publisher, with no named leadership, no legal notice and no funding history, for a business-critical process
Setup & Integrations
Technical difficulty
Very low. Signing up takes an email address, a Google account or a GitHub account, and the free plan asks for no payment details. There is nothing to install: Alemia runs in the browser and can be added as a progressive web app. Uploading a file is drag and drop, and the first question is written in plain English. The only step needing any technical knowledge is connecting a PostgreSQL or MySQL database, which requires credentials, or authorising Google Sheets access. A full report is estimated at five to ten minutes.
Deployment
Integrations
Supported languages
Behind Alemia
Social
Resources
All the official URLs gathered for verification and reference.
Alternatives
Tools that compete with or complement Alemia.
Frequently asked questions
Do I need to know how to code to use Alemia?
Which data formats and sources does Alemia support?
Is there a free plan?
How much does the cheapest paid plan cost?
Does Alemia train its AI models on my data?
How long are my files kept?
Does Alemia offer an API?
Is there a mobile application?
What is the minimum age to open an account?
How do I contact support?
Should you pick Alemia?
Alemia does what it promises on the surface: it takes a spreadsheet or a database table and gives a non-technical user statistics, charts, forecasts and a presentable report, without a line of code. The chain is unusually complete for the price. A permanent free plan, a paid entry point at USD 19.99 per month and export formats reaching parquet and feather on the top tier make it a reasonable proposition for small teams, startups and analysts who need answers faster than a BI project would deliver them.
The reservations concern not the product but everything around it. Alemia publishes no privacy policy, even though its own Terms and documentation refer to one. There is no Data Processing Agreement, no subprocessor list, no European representative and no statement of where data is physically hosted. A single line on a comparison page claims GDPR and SOC 2 compliance, with nothing behind it. The Pro plan sells API access that no documentation describes, and the application still shows prices the published tariff has superseded.
None of this makes the tool unusable, and its stated position on customer data — never used for model training, never shared — is clear and repeated. But it places Alemia firmly among young products: a founding year of 2024, a domain registered in August 2025, no named director anywhere and no legal notice page.
The practical conclusion depends on what you feed it. For ordinary commercial, operational or marketing data, Alemia is worth the free plan and probably the USD 19.99 tier. For personal, regulated or contractually sensitive data, the missing documentation is a real obstacle and should be settled with the publisher before any commitment.
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