How It Works

SeeWhat’s
UndertheHood

One platform that organizes, processes, and delivers your data automatically picking the right tools for each job.

Data Organization

Your Data, Organized in Layers

Data flows through three clean layers: raw, cleaned, and business-ready. Each step is automatic, auditable, and schema-enforced.

ConnectData Sources

BigQuery, cloud storage, REST APIs, and more. Connect with one click and AI handles the auth.

IngestRaw Data

Your data exactly as it arrived. Full history, zero transforms. Stored safely with ACID guarantees.

CleanTransform & Validate

AI cleans and transforms your data. You review the SQL before anything runs.

ModelBusiness Metrics

Business-ready metrics and KPIs. Calculated, aggregated, and ready to query or visualize.

DeliverDashboards & Reports

Built-in dashboards and reports. Ask questions in natural language. Share with your team.

Smart Compute

The Right Engine, Every Time

Small dataset? It runs instantly. Big dataset? It scales up automatically. You never think about infrastructure.

DuckDB

≤ 100 GB

In-process analytical engine. Zero infrastructure. Sub-second queries on your existing compute.

Warehouse

100 GB – 10 TB

Serverless warehouse. Auto-scales to handle medium-to-large datasets. Pay per query.

Apache Spark

> 10 TB

Distributed compute for massive datasets. Full resource isolation on your BYOC infrastructure.

AI Agents

AI That Does the Work for You

Describe what you need in plain English. Specialized AI agents handle connection, transformation, analysis, and dashboards. No code required.

1
Connect GCS bucket
Data Source AI
2
Build end-to-end pipeline
Pipeline Gen
3
Generate dashboard
Dashboard Gen
4
Attach quality rules
Quality Rules

Concierge

Describe what you need in plain English. The Concierge breaks your request into steps and delegates to the right specialist.

Scanning bucket
gs://analytics-prod/
Found 3 folders
events/ users/ transactions/
Detected format
Parquet (snappy)
Inferred schema
6 columns, 2.4M rows
Inferred Schema
user_idINT
emailVARCHAR
created_atTIMESTAMP
revenueDECIMAL

Data Source AI

Handles connection setup, schema inference, and resource discovery. Auto-detects file formats and creates your data source.

SRCConnect
RAWIngest
CLNClean
KPIModel

Pipeline Generator

Breaks your goal into pipeline steps, generates SQL for each, and lays them out on the visual canvas.

clean_transform.sql
WITH cleaned AS (
SELECT
CAST(user_id AS INT),
TRIM(LOWER(email)),
SUM(revenue) AS total
FROM raw.events
GROUP BY 1, 2
)

SQL Copilot

Generates and refines production-ready SQL for any transformation layer. Validates security and requires your approval before execution.

MRR$42k+12%
DAU8.4k+5%

Dashboard Generator

Turns your processed data into interactive dashboards. Picks chart types, lays out widgets, and wires up live queries.

Show me revenue by day
Mon
Tue
Wed
Thu
Fri
Sat
Sun

Analyst

Query your data in natural language. Generates SQL, executes it, and returns charts and tables. No code required.

Completeness
95%
Validity
90%
Uniqueness
88%
Consistency
94%
Timeliness
97%

Quality Rules

Generates data quality checks; completeness, validity, uniqueness, consistency, timeliness and attaches them to your pipeline nodes.

Y
Switch the bar chart to horizontal
AI
Done! Flipped the axis on Revenue by Region.
Y
Add a date range filter to the top
AI
Added. It defaults to last 30 days.

Dashboard Copilot

Refines existing dashboards through conversation. Adjust filters, swap chart types, add widgets, and tweak layouts by asking.

Data Quality

Trust Your Data Before It Hits a Dashboard

Every table gets an automatic quality check after each pipeline run. Problems surface before anyone sees bad numbers.

95

Completeness

Are there gaps or missing values in your data?

90

Validity

Does every value match the expected format and rules?

88

Uniqueness

Are there duplicate records that shouldn’t exist?

94

Consistency

Do related tables agree with each other?

97

Timeliness

Is your data fresh and updating on schedule?

Your Cloud

Your Infrastructure. Our Orchestration.

OptimaFlo sets up everything inside your own cloud project. Your data never leaves your infrastructure. We manage the workflow around it.

Your GCP Project
Cloud Composer
Airflow DAGs
Cloud Run
Polaris Catalog
GCS Buckets
Iceberg Tables
BigQuery
Query Engine
Orchestrated by OptimaFlo

Your GCP Project

Everything runs inside your own GCP project. We provision and manage it and you own it.

Data Never Leaves

Your raw data, processed tables, and query results stay in your storage. We orchestrate, never store.

Managed Orchestration

Pipeline scheduling set up and managed for you. New workflows sync automatically.

Polaris Catalog

Each workspace gets its own data catalog. Full isolation between teams and projects.

Automated Provisioning

One-click setup. Networking, permissions, storage, and compute configured automatically.

No Data Lock-In

Built on open standards so your data stays portable, wherever you run it.

Built on Apache Open Standards

Apache Iceberg — Table format
Apache Airflow — Orchestration
Apache Spark — Distributed compute
Apache Polaris — Catalog

Ready to stop managing infrastructure?

Go from raw data to business dashboards in one conversation.

Now in early beta. Plans from $2,500/mo. Deployed in your cloud. Your data never leaves.

AI-native data platform. From raw data to business dashboards powered by Apache open standards, visual pipeline building, and AI agents that handle the heavy lifting.

© 2026 OptimaFlo. All rights reserved.

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