Ervin

Your Data Science Agent

Bring your data to life.

Connect a data source, build a workflow, and get clean dashboards — in plain Language.

Press Enter to start
Ervin — Workflow Studio
SourceStripeSourcePostgresClean + Joinparse · dedupeAnalyzecomputeDashboard59%late rate3worst states

How it works

Lovable, but for data science.

Just describe what you want — Ervin builds the pipeline, runs it, and ships a dashboard. No SQL, no notebooks, no glue code.

01

Describe it

Type a question or goal in plain English — “summarize revenue this week”.

02

Ervin builds it

It plans, connects your sources, cleans the data, and writes & runs the code — self-correcting on errors.

03

Get a dashboard

Validated results render straight into KPI cards, charts, and tables.

04

Save as a workflow

Every run becomes an editable, schedulable workflow — tweak the Python, re-run, alert Slack.

Unified data layer

Connect your data like Palantir.

Ervin maps every source onto one canonical ontology — your messy columns become business entities, so you analyze in business terms across any source.

Your sources
StripeStripe
PostgresPostgres
NeonNeon
GitHubGitHub
HubSpotHubSpot
CSVCSV
Ontology
Canonical entities
OrderCustomerProductSellerShipmentPaymentReview

Integrations

Connect 10+ tools — and counting.

Native connectors plus one-click OAuth via Nango — and any Singer / Airbyte tap for 500+ more sources.

StripeStripe
PostgresPostgres
NeonNeon
MySQLMySQL
SnowflakeSnowflake
BigQueryBigQuery
GitHubGitHub
HubSpotHubSpot
SalesforceSalesforce
SlackSlack
NotionNotion
GoogleGoogle

Use cases

See how teams use Ervin.

Real-world examples — one prompt, from raw source to a shipped dashboard.

MK
Maya K.
Ops Lead · Northwind Goods
E-commerce

Why are deliveries late, and which sellers are the worst offenders?

Connected Postgres orders → parsed dates & dropped dupes → computed the late-delivery rate by seller and state → built a dashboard + a Monday Slack alert.

Found 3 sellers driving 58% of late orders — now flagged weekly in #ops.

DV
Dev V.
Founder · Linkloop (SaaS)
SaaS

Summarize revenue this week and alert me if it drops more than 20% w/w.

Pulled Stripe charges → aggregated weekly revenue & week-over-week delta → added a condition step → posts to #finance only when it breaches.

Weekly revenue health on autopilot — alerts only when it actually matters.

AR
Dr. Aria R.
Researcher · City Clinic
Healthcare

How many patients are severely depressed (PHQ-9 ≥ 15), overall and by week?

Uploaded a messy CSV → cleaned scores → computed severity counts and weekly trend — no ontology needed, schema-free.

A cohort dashboard tracked weekly — without opening a notebook.

Security

Secure your data, end to end.

Connections are encrypted end-to-end and tokens auto-refresh — your credentials stay locked down, and we store as little as possible.

End-to-end encrypted

Your credentials are encrypted in transit and at rest — never exposed to the browser.

Tokens stay in a vault

Access tokens never touch our database. We store only a connection reference, nothing more.

Auto-refreshed

Refresh tokens rotate automatically, so your connections never silently expire mid-run.

Minimal retention

We keep the least data possible, scope access to what's needed, and let you revoke anytime.

Pricing

Simple, run-based pricing

Every run plans, connects, cleans, analyzes, and ships a dashboard. Start free — upgrade when you need more runs.

Free

Try Ervin on your own data.

$0/mo
Get started
  • 10 runs / month
  • 100 MB storage
  • 1 workspace
  • Chat-to-dashboard
  • Community support
Popular

Pro

For analysts shipping dashboards weekly.

$19/mo
  • ~100 runs / month
  • 5 GB storage
  • 1 workspace
  • Save & schedule workflows
  • Slack alerts
  • Priority support

Business

For teams that run on data.

$79/mo
  • ~500 runs / month
  • 50 GB storage
  • Multiple seats
  • Everything in Pro
  • SSO & roles (coming soon)
  • Dedicated support

Ready to bring your data to life?

Connect a source, ask a question, and get your first dashboard in minutes — no SQL, no notebooks.