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Pricing

One flat price. More done by your team.

No per-query bills. You bring your own LLM key. Your data team stays in control of every change. Start with a 14-day free trial, billed annually after, unless you cancel.

Runs in your own cloud. You cover your cloud-provider costs, billed separately by your provider.

Standard

AI teammates for your data team, running in your cloud. 14-day free trial.

$50,000/yr

50 concurrent pipelines

50 data sources

20,000 pipeline runs/month

Unlimited seats

All AI teammates, including the Manager, with no monthly caps

DuckDB, BigQuery, Athena engines

Data lineage

BYOC deployment (AWS or GCP)

Data quality scoring

Priority support

Start free trial
Custom

Custom deployment, dedicated support

Custom

Unlimited pipelines

Unlimited data sources

All engines

Unlimited pipeline runs

Everything in Standard, plus:

Multi-cloud BYOCComing soon

24/7 dedicated support

Dedicated success manager

Training & onboarding

Security reviews

Book a call

Swipe to compare plans →

Compare plans
Standard
$
/billed annually
Start free trial
Custom
Custom pricing
Book a call
Data sources50Unlimited
Concurrent pipelines50Unlimited
Pipeline runs20,000 a month, for runs you startUnlimited
EnginesDuckDB, BigQuery, Athena4 slots, 8 cores, 32 GB, 8 hour capAll engines
AI team (Manager, Data Engineer, Ingestion Engineer, Analyst, Analytics Engineer, BI Developer, Quality Engineer)Unlimited. You pay your own LLM bill (BYOLLM)Unlimited. You pay your own LLM bill (BYOLLM)
Raw, Clean, Ready on Iceberg, visual builder
BYOC (runs in your cloud)
Column privacy
Data quality scoring
Lineage
BigQuery and GCS export
Table export (CSV and Parquet)
REST connector and API doc parser
Passkeys and 2FA
Email and Slack alerts10 per channel per 15 minutesCustom
BI API keys and MCP60 a minute per keyCustom
Workspace documents5 MB per fileCustom
SeatsUnlimitedUnlimited
SupportPriority24/7

Coming soon: in progress

  • Anomaly detectionComing soon
  • BI audit loggingComing soon
  • Postgres, MySQL, Snowflake, S3 exportComing soon
  • Sail engineComing soon
  • PII value maskingComing soon

Coming soon: usage limits

  • Scheduled runs counted toward the monthly run totalComing soon
  • Rate limits across servers, AI per minute, ingestion calls per dayComing soon
  • Limits on invitations, BI API keys, public dashboard linksComing soon
  • Limits on BYOC environments, alert channels, documents, export destinations, instruction and glossary sizeComing soon
  • Usage emails as you near and reach your limitsComing soon
  • Run history retentionComing soon

Coming soon: planned

  • SSO/SAMLComing soon
  • CSV or PDF file uploadComing soon
  • Webhook alerts (PagerDuty, Teams, any URL)Coming soon
01

Founding Customer offer: $35,000 in year one

Standard is $50,000 a year. The first 10 teams pay $35,000 for the first year, which is 30% off.

02

Then $50,000 a year

From year two you pay the Standard price.

03

In return: 12 months and a case study

You agree to a 12-month term and a case study.

See the Founding Customer program

Pricing Calculator

What's Your Data Chaos Costing?

Estimate what your tools and per-query bills add up to, then see how a flat plan in your own cloud compares.

Big data platforms assume a platform team to run them. OptimaFlo is for teams that don't have one.

100 GB
10 GB2 TB
$3,500/mo
$100$60,000
$1,313/mo
$200$40,000
$200/mo
$50$8,000
$402/mo
$100$10,000
$4,940/mo
$3,000$25,000
$2,000/mo
$1,500$15,000

Tool spend(6 tools)

$
/yr
Recommended plan: Standard at $50,000/yr, billed annually. 14-day free trial.

+ ~$6,492/yr estimated cloud bill (BYOC), paid to your cloud provider

Object storage · DuckDB · Managed Airflow

6 tools in one platform instead. You save:

$
/yr

Why pay more?

Your entire stack for a fraction of the cost.

SAVE 62%
$4,708/mo
OptimaFlo
$12,355/mo
Your Stack
OptimaFlo subscription
$4,167/mo
Your cloud bill (estimated)
~$541/mo
OptimaFlo total
$4,708/mo
Subscription
Cloud bill (est.)
Fivetran
Snowflake
dbt Cloud
Astronomer
Looker
Monte Carlo

*Estimates, not quotes. We use vendor list prices where they are published. Looker, Monte Carlo, and Matillion do not publish prices, so those are estimated from public deal data. The cloud bill is an estimate: we cannot predict your real spend, which depends on your data and usage. It is paid to your cloud provider, not to OptimaFlo. Based on GCP / AWS (object storage + DuckDB/BigQuery + managed Airflow). Sail, coming soon.

FAQs

Questions teams ask us.

The real ones, answered straight. Still stuck?

Read DocsContact

Three layers: raw data as-is, cleaned data (deduplicated and validated), and business-ready data (metrics and reports). All stored on Apache Iceberg. You get ACID transactions, schema changes, and time-travel queries out of the box.

OptimaFlo picks the right engine for each pipeline task automatically, sized to your own cloud worker. Standard runs DuckDB for everyday steps and adds a warehouse engine for bigger one-time jobs.

Role-based access. Workspace-scoped data isolation. Audit trails for access changes and table deletions. And everything runs in your own cloud, so your data is stored there, never with us. Iceberg stores full snapshot history for compliance.

Any company with more data work than people: no data team yet, one data person, a small team, or a larger one. OptimaFlo's AI teammates enhance the people you have and do the repeat work. Someone on your side sets the direction and approves what ships. It runs in your own cloud on open Iceberg tables, with one flat plan price and no per-query or per-DBU charges.

Hours, not months. Connect your first data source and the Manager walks you through everything: authentication, schema, pipeline, dashboard. No coding required.

Google Cloud Platform and AWS. You deploy OptimaFlo into your own account, and your data is stored there in Apache Iceberg.

Every pipeline run is tracked. Status updates, error reports, and execution history. You can monitor runs from the dashboard in real time.

Standard includes up to 50 data sources. Most sources connect with one-click OAuth or a service account key, and the Manager walks you through the setup.

You bring your own LLM key. Supported models: Claude, GPT, Gemini. The AI teammates are a Manager, an Ingestion Engineer, a Data Engineer, an Analytics Engineer, an Analyst, a BI Developer, and a Quality Engineer.

Every table gets scored on five dimensions: completeness, validity, uniqueness, consistency, and timeliness. Scoring runs alongside your pipelines. Schema enforcement blocks bad changes. Self-healing SQL fixes errors at runtime.

Yes. Your Gold tables live in Apache Iceberg in your own cloud. Any Iceberg-compatible tool can read them directly, including Trino and DuckDB.

One Team.
Directed by You.

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