Move data,
not weight.
Connect, activate, run… build pipelines in minutes.
One execution layer where every system is both a source and a destination. Workflows, transformations, and integrations run on the same API-driven core. Data flows both ways by default.
No card to start · design pipelines for free · pay only when you set up an environment
Trusted by teams at
Connect, activate, run.
Three steps from a cold system to a live pipeline. No glue code, no separate reverse-ETL tool, no scheduler to babysit.
Point it at a system
Pick a source or describe one to AI Nexus. It generates the connector and maps the schema. Then it registers the system as a source, a destination, or both.
Shape the data
Add cleansing, enrichment, and expand steps inline. Set a trigger: an event, a request, or a schedule. CDC keeps everything in sync.
Ship to an environment
Deploy and the pipeline runs as a live, addressable API. Watch every run, retry, and byte. Roll back if it pages.
Connect any system, or let AI generate the connector for you
HubSpot
Postgres
MySQL
MongoDB
Snowflake
BigQuery
Stripe
Shopify
Kafka
Google Sheets
Airtable
Notion
GraphQL
Email
› anything, AI-generated
Built different,
not bolted together.
Automation tools, managed ETL, and reverse-ETL bolt-ons each solve a slice of the problem. Partic.ai is one execution layer underneath all of it. Data flows both ways by default.
Almost everything works both ways
If Partic can read from a system, it can be a source. If it can write to a system, it can be a destination. Most systems do both. Data flows either way, with no separate reverse-ETL tool.
Bidirectional by defaultAPI-native execution layer
Pipelines run as live, addressable APIs, event-triggered or on demand. Not scenarios queued behind a scheduler.
Continuous execution runtimeBuilt-in transformation intelligence
Cleansing, enrichment, and expand ship as native steps. No external transform tool, no glue code, no extra hop.
Native feature layerAI Nexus chat
Describe what you need in chat. AI Nexus builds connectors and full pipelines, and helps you debug and fix issues when a run misbehaves.
CDC included
Change data capture ships with every plan. Enable incremental sync per pipeline, no premium add-on to buy.
Real-time execution
Event and request-triggered pipelines run continuously. No batch windows, no polling lag.
Compliance-grade flows
Built-in audit trails and dedicated infrastructure per customer. Ready for the review before it starts.
Automation IAM
First-class machine identities and service accounts. Least-privilege access for every pipeline.
VPC & private deploy
Run Partic inside your own network. Enterprise deployment without giving up the AI-native core.
Same job.
Different machine.
Automation platforms, managed ETL, and open-source ETL each cover part of the surface. Partic.ai is the one layer built to do all of it, in both directions.
| Capability | Zapier | Make | Fivetran | Airbyte | Partic.ai |
|---|---|---|---|---|---|
| Data movement & integration | |||||
| Core category | Automation | Automation | Managed ETL | Open-source ETL | AI-native data pipeline & API platform |
| Warehouse integration (ETL/ELT) | Basic | Medium | Strong | Strong | ✓Native, CDC included |
| System integration (iPaaS) | Strong | Strong | Limited | Medium | ✓API-native orchestration |
| Reverse ETL (warehouse ↔ SaaS) | Limited | Limited | Limited | Medium | ✓Fully bidirectional |
| Real-time / streaming | Webhook-based | Scenario-based | Batch-focused | Partial | ✓Event and request triggered |
| Incremental sync (CDC) | ✕ | ✕ | Strong | Partial | ✓Included, per pipeline |
| Scraping / data acquisition | Weak | Weak | Weak | Medium | ✓Pipeline-native ingestion |
| Transformation & intelligence | |||||
| Cleansing & transformation | Basic | Medium | Limited | Medium | ✓Built-in AI transforms |
| Enrichment pipelines | External | External | Limited | Limited | ✓Native enrichment steps |
| AI-generated connectors | ✕ | ✕ | ✕ | ✕ | ✓Generated on demand |
| ML / AI feature pipelines | Weak | Weak | Medium | Medium | ✓AI-ready by default |
| Execution & orchestration | |||||
| Pipeline execution model | Task-based | Scenario-based | Sync jobs | Jobs | ✓Continuous runtime |
| API orchestration | Partial | Partial | Limited | Medium | ✓Core capability |
| Workflow automation | Strong | Strong | Limited | Medium | ✓API-driven execution |
| Rate control & parallelism | Basic | Basic | Basic | Basic | ✓Native scaling controls |
| Reporting / analytics | Limited | Medium | Strong | Strong | ✓BI-ready outputs |
| Infrastructure, security & value | |||||
| Infrastructure model | Shared SaaS | Shared SaaS | Shared SaaS | Hybrid OSS | ✓Dedicated per customer |
| Compliance / audit | Weak | Weak | Strong | Strong | ✓Audit built in |
| Service accounts / IAM | Limited | Limited | Enterprise | Partial | ✓Machine identities |
| VPC / private deployment | ✕ | ✕ | ✕ | Optional OSS | ✓Private deployment |
| Time-to-value | Fast | Fast | Medium | Medium | ✓Minutes |
Scroll horizontally on small screens · Partic.ai column highlighted
Connecting 100+ systems? Watch how to do it without creating 100+ problems.
Watch the webinarOne price model.
No surprises.
Design pipelines and wire up integrations for free. You pay when you set up an environment, not when you activate a pipeline. Pricing is per environment, not per seat. Move to dedicated infrastructure when you need it.
Free
Design pipelines, connect sources and destinations, and wire up integrations: no card, no time limit.
- Unlimited pipeline drafts
- All connectors, incl. AI-generated
- Dedicated infra per customer
Per environment
Charged when you set up an environment, not when you activate a pipeline. Scales with environments, not seats.
- CDC and bidirectional sync included
- Continuous API-driven execution
- Run up to 10 pipelines at the same time
Enterprise
Dedicated infrastructure, compliance-grade audit trails, and private deployment for teams that need it.
- Compliance ready
- Full automation IAM & machine identities
- VPC / private deployment
Want it built with experts? Workshops from ↓ Implementation programs ↓
Start with a workshop.
The fastest way to start with Partic, or with one of our implementation programs. A plan in a day, one pipeline in a week, or four in a month, with our team.
Pilot
Plan your project with our team. Start discussing Partic or a program: sources, destinations, pipeline design and a delivery plan, with Partic set up.
- 1 day
- Plan
- Virtual or in person
Accelerate
Set up Partic and one data pipeline. Live in your environment, proving the approach.
- 1 week
- 1 pipeline
- Virtual or in person
Operate
Set up Partic and four data pipelines. Live, monitored and handed over.
- 1 month
- 4 pipelines
- Virtual or in person
Every workshop starts Partic or one of our programs, and kicks off a 10X Lab, so progress doesn’t stop when the workshop ends.
Prices exclude your Partic plan, and travel and accommodation for in-person workshops.
We build it with you.
Then you run it.
Three programs, each starting with a workshop and delivered in waves, until your pipelines run on Partic and your team owns them.
Legacy ETL Migration
Move off legacy ETL. No big-bang cutover.
Who it’s for
- Teams paying for an ETL licence they want to drop
- Nightly batch jobs that need to be near real-time
- Scripts and cron jobs nobody wants to own
What you get
- Job inventory and wave plan
- Each job rebuilt in Partic, run in parallel and reconciled
- CDC where batch used to be
- Legacy jobs, servers and licence retired
Works with jobs from your current ETL tool, scripts and cron.
Your Technology Connectors and Integrations
Every system connected, both ways.
Who it’s for
- Platform teams connecting many systems
- Systems with no off-the-shelf connector
- Teams replacing glue code and one-way syncs
What you get
- Connectors for your systems, including AI-generated custom connectors
- Bidirectional integrations
- Data service APIs where needed
- Runbooks and monitoring
RevOps Data Pipelines
One set of revenue numbers, everywhere.
Who it’s for
- CROs, RevOps and finance ops
- CRM, billing and warehouse data that disagree
- Teams that need warehouse data back in the CRM
What you get
- CRM ↔ billing ↔ warehouse ↔ support pipelines
- Reverse ETL into the CRM
- One revenue data model
- Monitoring and alerts
Questions,
answered plainly.
Straight answers for platform and data engineers. If something is missing, talk to us.
What makes a system a source or a destination?
How are you different from a workflow engine like Zapier or Make?
What if there's no connector for my system?
How does pricing actually work?
$50/mo per environment when you set one up, not when you activate a pipeline. Each environment runs up to 10 pipelines in parallel. Enterprise adds dedicated infrastructure, compliance-grade audit, and private deployment. Workshops and programs are priced separately from your plan.Can I run Partic inside my own network?
Can you build our pipelines for us?
What’s a workshop for?
Can you migrate us off our current ETL tool?
Which Partic plan do I need?
Are workshops virtual or in person?
How do we pay?
Your next pipeline is minutes away.
Connect a source, pick a destination, and ship: no sales call required to see it run.