Now in Early Beta
TheAIDataPlatform
forGrowingCompanies
From your first data source to live dashboards in one afternoon. OptimaFlo handles your entire data workflow, from raw data to business answers, all in your cloud.
Built on Open Standards
The Problem
Building a Data Stack Shouldn't Be This Hard
You need answers from your data, not a six-month project to wire together half a dozen tools.
Setting up a data stack means evaluating tools for ingestion, storage, transforms, orchestration, dashboards, and quality. Six categories, six vendors, six contracts, six points of failure before you’ve answered a single question.
Hiring a data engineer takes 4–6 months. A good one costs $180K+. And they’ll spend most of their time wiring tools together, not building things that matter.
Stitching together separate tools for ingestion, storage, transforms, and dashboards adds up fast. Most companies spend $25–100K/month on data infrastructure before they’ve answered a single business question.
How it works
Three Steps. That's It.
No six-month rollout. No dedicated infrastructure team. Connect your data, describe what you need, and start getting answers.
Point OptimaFlo at your data source. BigQuery, cloud storage, REST APIs, and more. AI handles the auth, discovers what’s there, and starts loading it.
#standups
Claude 4
Gemini 2.5
GPT-5
Describe your transformations in plain English: ‘Clean up the customer table, remove duplicates, and calculate lifetime value.’ AI generates the SQL, you review it, done.
Ask questions in natural language. Build dashboards with a click. Share reports with your team. No separate BI tool required.
Features
One Platform. Everything You Need.
Ingestion, transformation, orchestration, quality monitoring, analytics, and dashboards. Built in from day one so you never have to stitch them together.
Use Claude, GPT, or Gemini (more models coming soon). Your API keys stay with you with no vendor lock-in on the AI that powers your pipelines.
GPT 5
Tell OptimaFlo what data you need and how to transform it. AI generates production-ready pipelines with validated SQL; ready to schedule in minutes.
BigQuery, GCS, REST APIs, and more. One-click OAuth setup. No custom adapters, no engineering time.
Data never leaves your infrastructure. Role-based access, encryption, and audit trails are built in, not bolted on.
Describe your data source in plain English. AI walks you through connection, browses your buckets, and infers your schema automatically.
Ask a question, get a chart. Build dashboards with natural language on live data. No SQL required, no separate BI tool.
Use Cases
Sound Familiar?
No matter what brought you here, OptimaFlo handles it. Here are the problems our users solve every day.
Set up ingestion, cleaning, and delivery once. OptimaFlo orchestrates it on your schedule, catches errors and auto-corrects SQL at runtime. No babysitting.
AI writes your transformation SQL. Every query is validated, type-checked, and schema-enforced before it runs. Your data stays consistent.
Five-dimension quality scoring built into every pipeline layer. Schema enforcement blocks bad data. Self-healing SQL catches errors before they cascade.
Small query? DuckDB handles it in-process, no warehouse charges. Big query? It routes to your warehouse or Spark automatically. You only pay for the compute you actually need.
Describe your first data source. The AI connects it, infers the schema, generates a pipeline, and builds your first dashboard in one conversation.
Query audit trail for compliance. Every schema change versioned via Iceberg. Row-level security on every table. Your compliance team will actually smile.
Why OptimaFlo
Built Different. Here's the Proof.
Not just another data tool. A fundamentally simpler way to get from raw data to business answers.
Building a data stack from scratch typically costs $25–100K/month across tools and headcount. OptimaFlo gives you the entire stack starting at $2,500/mo.
Connect a data source, generate a pipeline, and see your first dashboard in one sitting. No six-month rollout, no dedicated infrastructure team.
Ingestion, warehousing, transformation, orchestration, dashboards, and data quality. One platform from day one. One login, one bill, one place to debug.
Built on Apache Iceberg, Airflow, Spark, and Polaris. Your data lives in open formats on your cloud, portable to any Iceberg-compatible engine, no extraction needed.
BYOC deployment means your data never leaves your infrastructure. No shared tenancy, no data commingling, full regional control.
Pricing
One Platform, One Price
Everything included. No per-query fees, no surprise overages. Early beta pricing, lock in your rate today.
Your first data stack, complete
$10 concurrent pipelines
5 data sources
DuckDB engine (up to 100 GB)
1,000 pipeline runs/month
6 AI agents with monthly limits
BYOC deployment (GCP)
Data quality scoringComing soon
Email support
Run production pipelines at scale
$50 concurrent pipelines
20 data sources
DuckDB + Warehouse + Spark (up to 2 TB)
5,000 pipeline runs/month
Everything in Starter, plus:
Concierge AI (50/mo)
Unlimited SQL Copilot
Anomaly detectionComing soon
Priority support
Full platform, unlimited AI
$200 concurrent pipelines
100 data sources
All engines + Dedicated Spark (up to 10 TB)
20,000 pipeline runs/month
Everything in Growth, plus:
Unlimited AI agents
Data lineageComing soon
BI audit loggingComing soon
Dedicated support
Custom deployment, dedicated support
CustomUnlimited pipelines
Unlimited data sources
All engines — unlimited volume
Unlimited pipeline runs
Everything in Scale, plus:
Unlimited AI agents
Multi-cloud BYOCComing soon
24/7 dedicated support
Dedicated success manager
Training & onboarding
Security reviews
FAQs
Need Help?
Find all your doubts and questions in one place. Still couldn't find what you're looking for?
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.
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