Flowcore runs data pipelines in production

A data platform built to run, orchestrate, and monitor pipelines reliably, so teams ship systems without operational chaos.

Trusted Across Modern Enterprises

Used and evaluated by teams building data-intensive production systems.

Built for Data That Actually Moves

Flowcore orchestrates data, AI execution, orchestration, and outputs into observable, deterministic pipelines.

Processing

Filter

Transform

Refine

Data Sanitization Pipeline

Automatically filters, transforms, and refines raw data before it enters the AI and analytics pipeline.

Clean Dataset Ready

Normalized data prepared for export

15s ago

Anomaly Detected

3 outliers flagged

8s ago

AI Classification Complete

12,430 records enriched

2s ago

3 active events

Clear logs

System Event Stream

Real-time events emitted by data pipelines and AI execution layers.

Structured Output

System Event Stream

Real-time events emitted by data pipelines and AI execution layers.

AI Orchestration Layer

Routes data through AI models, pipelines, and downstream systems in real time.

What teams say about Flowcore

Feedback from engineers using Flowcore to build, run, and monitor production data pipelines.

Élodie Martin

@elodie.ui

Flowcore feels predictable. That was the first thing we noticed. Everything else followed naturally.

Julian Weber

@julian.codes

We used to spend too much time debugging pipeline edges. That basically disappeared after switching.

Sofia Romano

@sofia.designs

The system stays consistent across runs, which made collaboration smoother. Fewer questions. Fewer retries.

Clara Vandenberg

@clara.builds

It brings structure without feeling restrictive. That mattered more than I expected.

Luca Bianchi

@luca.ui

It fits into an existing data stack without friction or rework.

Sofia Müller

@sofia.frontend

Defaults around execution and retries are better than what we had before. Not magic, just solid.

Matteo Ricci

@matteo.dev

We stopped arguing about pipeline behavior. That alone was worth it.

Daniel Novak

@danielpx

This is one of the few data platforms that feels production-ready from day one.

Nina Petrova

@nina.builds

Onboarding got calmer. Not faster in a flashy way, just easier to reason about.

Rafael Costa

@rafa.codes

Flowcore hits a balance that’s hard to describe but obvious once it’s running.

Theo Laurent

@theo.creative

Flowcore supports complex systems without constantly pulling attention to the tooling itself.

Jonas Keller

@jonas.codes

We rarely talk about pipeline failures now. That’s probably the best feedback.

Élodie Martin

@elodie.ui

Flowcore feels predictable. That was the first thing we noticed. Everything else followed naturally.

Julian Weber

@julian.codes

We used to spend too much time debugging pipeline edges. That basically disappeared after switching.

Sofia Romano

@sofia.designs

The system stays consistent across runs, which made collaboration smoother. Fewer questions. Fewer retries.

Clara Vandenberg

@clara.builds

It brings structure without feeling restrictive. That mattered more than I expected.

Luca Bianchi

@luca.ui

It fits into an existing data stack without friction or rework.

Sofia Müller

@sofia.frontend

Defaults around execution and retries are better than what we had before. Not magic, just solid.

Matteo Ricci

@matteo.dev

We stopped arguing about pipeline behavior. That alone was worth it.

Daniel Novak

@danielpx

This is one of the few data platforms that feels production-ready from day one.

Nina Petrova

@nina.builds

Onboarding got calmer. Not faster in a flashy way, just easier to reason about.

Rafael Costa

@rafa.codes

Flowcore hits a balance that’s hard to describe but obvious once it’s running.

Theo Laurent

@theo.creative

Flowcore supports complex systems without constantly pulling attention to the tooling itself.

Jonas Keller

@jonas.codes

We rarely talk about pipeline failures now. That’s probably the best feedback.

Élodie Martin

@elodie.ui

Flowcore feels predictable. That was the first thing we noticed. Everything else followed naturally.

Julian Weber

@julian.codes

We used to spend too much time debugging pipeline edges. That basically disappeared after switching.

Sofia Romano

@sofia.designs

The system stays consistent across runs, which made collaboration smoother. Fewer questions. Fewer retries.

Clara Vandenberg

@clara.builds

It brings structure without feeling restrictive. That mattered more than I expected.

Luca Bianchi

@luca.ui

It fits into an existing data stack without friction or rework.

Sofia Müller

@sofia.frontend

Defaults around execution and retries are better than what we had before. Not magic, just solid.

Matteo Ricci

@matteo.dev

We stopped arguing about pipeline behavior. That alone was worth it.

Daniel Novak

@danielpx

This is one of the few data platforms that feels production-ready from day one.

Nina Petrova

@nina.builds

Onboarding got calmer. Not faster in a flashy way, just easier to reason about.

Rafael Costa

@rafa.codes

Flowcore hits a balance that’s hard to describe but obvious once it’s running.

Theo Laurent

@theo.creative

Flowcore supports complex systems without constantly pulling attention to the tooling itself.

Jonas Keller

@jonas.codes

We rarely talk about pipeline failures now. That’s probably the best feedback.

Élodie Martin

@elodie.ui

Flowcore feels predictable. That was the first thing we noticed. Everything else followed naturally.

Julian Weber

@julian.codes

We used to spend too much time debugging pipeline edges. That basically disappeared after switching.

Sofia Romano

@sofia.designs

The system stays consistent across runs, which made collaboration smoother. Fewer questions. Fewer retries.

Clara Vandenberg

@clara.builds

It brings structure without feeling restrictive. That mattered more than I expected.

Luca Bianchi

@luca.ui

It fits into an existing data stack without friction or rework.

Sofia Müller

@sofia.frontend

Defaults around execution and retries are better than what we had before. Not magic, just solid.

Matteo Ricci

@matteo.dev

We stopped arguing about pipeline behavior. That alone was worth it.

Daniel Novak

@danielpx

This is one of the few data platforms that feels production-ready from day one.

Nina Petrova

@nina.builds

Onboarding got calmer. Not faster in a flashy way, just easier to reason about.

Rafael Costa

@rafa.codes

Flowcore hits a balance that’s hard to describe but obvious once it’s running.

Theo Laurent

@theo.creative

Flowcore supports complex systems without constantly pulling attention to the tooling itself.

Jonas Keller

@jonas.codes

We rarely talk about pipeline failures now. That’s probably the best feedback.

Élodie Martin

@elodie.ui

Flowcore feels predictable. That was the first thing we noticed. Everything else followed naturally.

Julian Weber

@julian.codes

We used to spend too much time debugging pipeline edges. That basically disappeared after switching.

Sofia Romano

@sofia.designs

The system stays consistent across runs, which made collaboration smoother. Fewer questions. Fewer retries.

Clara Vandenberg

@clara.builds

It brings structure without feeling restrictive. That mattered more than I expected.

Luca Bianchi

@luca.ui

It fits into an existing data stack without friction or rework.

Sofia Müller

@sofia.frontend

Defaults around execution and retries are better than what we had before. Not magic, just solid.

Matteo Ricci

@matteo.dev

We stopped arguing about pipeline behavior. That alone was worth it.

Daniel Novak

@danielpx

This is one of the few data platforms that feels production-ready from day one.

Nina Petrova

@nina.builds

Onboarding got calmer. Not faster in a flashy way, just easier to reason about.

Rafael Costa

@rafa.codes

Flowcore hits a balance that’s hard to describe but obvious once it’s running.

Theo Laurent

@theo.creative

Flowcore supports complex systems without constantly pulling attention to the tooling itself.

Jonas Keller

@jonas.codes

We rarely talk about pipeline failures now. That’s probably the best feedback.

Élodie Martin

@elodie.ui

Flowcore feels predictable. That was the first thing we noticed. Everything else followed naturally.

Julian Weber

@julian.codes

We used to spend too much time debugging pipeline edges. That basically disappeared after switching.

Sofia Romano

@sofia.designs

The system stays consistent across runs, which made collaboration smoother. Fewer questions. Fewer retries.

Clara Vandenberg

@clara.builds

It brings structure without feeling restrictive. That mattered more than I expected.

Luca Bianchi

@luca.ui

It fits into an existing data stack without friction or rework.

Sofia Müller

@sofia.frontend

Defaults around execution and retries are better than what we had before. Not magic, just solid.

Matteo Ricci

@matteo.dev

We stopped arguing about pipeline behavior. That alone was worth it.

Daniel Novak

@danielpx

This is one of the few data platforms that feels production-ready from day one.

Nina Petrova

@nina.builds

Onboarding got calmer. Not faster in a flashy way, just easier to reason about.

Rafael Costa

@rafa.codes

Flowcore hits a balance that’s hard to describe but obvious once it’s running.

Theo Laurent

@theo.creative

Flowcore supports complex systems without constantly pulling attention to the tooling itself.

Jonas Keller

@jonas.codes

We rarely talk about pipeline failures now. That’s probably the best feedback.

Pricing built for real data pipelines

Whether you're working solo or running fast-growing teams, choose a plan that matches your workload.

Starter

Essential tools to design, trigger, and monitor data pipelines without overhead.

$9/ month

Starter includes:

Pipeline builder with visual steps

Manual and scheduled executions

Basic event and run logs

Up to 5 active pipelines

CSV and JSON exports

Standard execution speed

Email failure notifications

Community support

Pro

Advanced orchestration, automation, and reliability for production data workflows.

$29/ month

Everything in Starter, plus:

Unlimited pipeline executions

Event-driven pipeline triggers

Parallel execution and retries

Environment-based configurations

Pipeline version history

Advanced logs and metrics

Priority execution queue

Slack and webhook alerts

Priority support

Enterprise

Security, scale, and control for teams running mission-critical data pipelines.

$79/ month

Everything in Pro, plus:

Team-based pipeline management

Role-based access control

Audit logs and execution history

Custom pipeline limits and SLAs

Dedicated onboarding support

Private deployments and isolation

Advanced analytics and insights

Custom integrations and hooks

99.99% uptime SLA

24/7 premium support

Common Questions, Clear Answers

Everything you need to know about building, running, and scaling data pipelines with Flowcore.

Ship data pipelines you can trust

Flowcore helps teams build, orchestrate, and run production data pipelines without operational guesswork.

10M+

Events Processed Daily

<120ms

Event Ingest Latency

Vendor Lock-In

Flowcore

Flowcore helps teams design, run, and scale reliable data pipelines without managing infrastructure.

Flowcore runs data pipelines in production

Trusted Across Modern Enterprises

Built for Data That Actually Moves

What teams say about Flowcore

Pricing built for real data pipelines

Starter

Pro

Enterprise

Common Questions, Clear Answers

Ship data pipelines you can trust

Product

Developers

Company