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Build reliable data pipelines. Understand every step.

DataExpandr helps data teams build, run, and explain data workflows with confidence — no YAML, no glue code, no guessing what's in your data.

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Works with the tools your data already lives in

  • Salesforce logoSalesforce
  • Google Sheets logoGoogle Sheets
  • REST API
  • AWS logo
  • HubSpot logoHubSpot
  • Dropbox logoDropbox
  • SFTP
  • Azure logoAzure
  • Stripe logoStripe
  • Excel logoExcel
  • WebDAV
  • Google Cloud logoGoogle Cloud
  • Snowflake logo
  • Google Drive logoGoogle Drive
  • Amazon S3 logoAmazon S3
  • Google Docs logoGoogle Docs

Everything you need to move data forward

Build it, run it, and understand exactly what happened — in one place.

Build

Describe it, don't code it

Connect your sources, then describe the transform you want in plain English. DataExpandr writes the logic, runs it on your real data, and previews the result — no YAML, no glue code.

Run

Run it on autopilot

Schedule pipelines, watch every run, and scale without babysitting. Each run is validated and fully observable, so nothing breaks silently in production.

Explain

Understand your data

AI Explain reads any source, upload, or pipeline output and tells you — in plain English — what's actually in it: the structure, the fields, and the anomalies worth knowing about. Ask a question, get an answer. Trust your data instead of guessing.

Your first pipeline, the same day

A few guided steps from raw source to a scheduled, explained workflow — no setup marathon. And from there, as far as your data needs to go.

See it live
  1. 1Connect a sourcePoint DataExpandr at an API, file upload, or storage bucket. CSV, JSON, XML, TSV — if it's structured text, it works.
  2. 2Shape it in plain EnglishDescribe the output you want. The transform is generated, validated against your real data, and previewed before anything changes.
  3. 3Put it on autopilotSchedule it, monitor it, and use AI Explain to make sense of any output in plain English.
  4. 4Grow it without limitsChain as many steps as you need and keep transforming. Start simple — scale to whatever your data demands.

Just describe what you want

Tell DataExpandr how your data should look. It writes the transform, runs it on your real input, and shows the result — all reviewable before you commit.

High-value customers

Transform logic

1 lines

Validated · 1.2sJSON → CSV
From the orders JSON, export everyone who spent over $100 to CSV — name, email, order count, total spend, and join month, sorted by spend
Generating transform logic
Running on sample
Validating output
customers.csv3 rows · 5 cols
nameemailorderstotal_spendjoined
Jane Doe[email protected]71240.502024-03
Alex Rivera[email protected]4612.002024-06
Morgan Lee[email protected]5348.752024-01
Built for data pros — and everyone else
If you can describe what you want, you can build it — powerful enough for data engineers, simple enough for everyone else.
Data engineers
Retire the glue code
Replace brittle one-off scripts and cron jobs with observable, validated pipelines the whole team can read and rerun.
e.g. Nightly API pulls normalized and delivered to S3 — with an audit trail
Analysts & data scientists
Clean data without the queue
Normalize, dedupe, and reshape messy files yourself — describe the output, review the preview, done. No engineering ticket required.
e.g. A vendor's inconsistent CSV exports standardized in minutes
Ops & RevOps teams
Keep your systems in sync
Scheduled exports and transformations between the tools your business runs on — reliable, repeatable, and no developer required.
e.g. CRM exports reshaped and synced to your warehouse every hour
Founders & small teams
Skip the data hire
Connect a source, describe what you want in plain English, and ship a working pipeline — no SQL, no data engineer, no waiting. DataExpandr handles the technical parts.
e.g. Stripe payouts and Shopify orders merged into one weekly revenue report
Enterprise-ready from day one
The security, governance, and controls your most critical workflows demand.
  • Role-based access
  • Audit logs & data lineage
  • Custom integrations
  • Single-tenant bare metal
  • Privately deployed AI models
  • Dedicated support & SLAs
Enterprise capabilities are scoped and provisioned per engagement.
Contact sales
DataExpandr source connected to a secure analytics dashboard
Answers to common questions
Yes. The Free plan lets you build and test as many pipelines as you want, with up to 5 MB files and unlimited manual runs — no credit card required.
No. Pipelines are built visually — upload or connect a source, drag in steps, and describe transformations in plain English. The generated logic is always shown and previewed, but you never have to write or read code to use it.
CSV, JSON, XML, TSV, and Excel (XLSX). If it can be read as structured data, you can pipe it through a workflow.
Free supports files up to 5 MB, Pro up to 5 GB, and Enterprise has no fixed limit. Every plan gets unlimited pipelines and manual runs.
Describe the output you want in plain English. DataExpandr generates the transform logic, validates it against your actual data, and shows a preview before you commit a single change.
AI Explain reads your data — a source, an upload, or a pipeline's output — and explains it in plain English: what the fields are, how it's structured, and any anomalies worth knowing about. Ask follow-up questions and get answers you can hand to a stakeholder.
Failed runs retry automatically, and we surface exactly what went wrong — so you can review and re-run instead of discovering it broke days later.
Traditional ETL tools assume an engineering team; scripts assume a maintainer. DataExpandr is drag-and-drop with AI-generated transforms and plain-English explanations of your data — the reliability of a pipeline without the engineering overhead.
Team collaboration — shared workspaces with SSO and role-based access — is available for Enterprise organizations, scoped to your setup. Tell us about your team and we'll provision it.
Yes — eligible accounts are offered a Pro trial at checkout. You can also cancel anytime and keep access through the end of your billing period.
No, never. Your data is processed on closed servers and is not shared with third parties or used to train models. We keep your data only as long as your pipelines need it, and automatically purge anything left unreferenced.
All data is encrypted in transit and at rest, and we keep your source data only as long as your pipelines need it. For the most sensitive workloads, Enterprise deployments can be provisioned on dedicated single-tenant bare metal with privately hosted AI models — keeping your data off shared cloud and away from third-party AI providers.
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