Partic · Data pipelines
Move data, not weight.
Connect, activate, run. Build pipelines in minutes.
Every system is a source and a destination.
Question: Sync new Stripe customers to HubSpot
Connector generated.
- Pipeline live as an API
One data problem, three tools and glue code.
Automation tools, managed ETL and reverse-ETL each solve one slice of moving data, and someone maintains the glue code in between.
Automation tools
Good at triggers, thin on shaping data.
Managed ETL
Moves data one way.
Reverse ETL
Moves data back out, and stops there.
Glue code
The scripts in between that someone has to maintain.
Connect. Activate. Run.
Three steps from a system to a live pipeline.
Connect
Pick a system, or describe it to AI. Connectors are generated for you.
- HubSpot
- Stripe
- Postgres
Or describe a system and AI Nexus generates the connector.
Activate
Add transformations and triggers, including change data capture.
- Transformations
- Triggers
- CDC
Run
Deploy. The pipeline runs as a live API, with monitoring and rollback.
- Live as an API
- Monitoring on
- Rollback ready
Partic in numbers
5 minutes
to the first live pipeline
10X
pipelines per environment
100%
of pipelines run as live APIs
Two-way
every system
AI Nexus
A chat that builds connectors and pipelines, and fixes them when they break.
Generate connectors
Describe a system in chat and AI Nexus generates the connector.
Connector generated.
Build from prompts
Ask for a pipeline in plain language and AI Nexus builds it.
- Pipeline created
Fix issues
When something breaks, AI Nexus helps you find and fix the issue.
Issue found in the mapping. Fix proposed.
- Fix applied
One platform, six jobs.
What teams use Partic for.
ETL / ELT
Move data into your warehouse and shape it on the way.
- Extracted
- Transformed
- Loaded
System integration (iPaaS)
Connect your systems in both directions.
- CRM
- Billing
- Support
Every system is both a source and a destination.
Reverse ETL
Send warehouse data back into the tools your teams use.
- Warehouse data synced to CRM
Real-time streaming
Run event-driven pipelines as data arrives.
- Kafka
- Events
- CDC
ML and AI feature pipelines
Prepare the data your models and AI features need.
- Features prepared
- Model input ready
Data acquisition
Bring in data from outside sources, on a schedule or on demand.
- Source connected
- Data acquired
Watch the webinar.
The Integration Problem: How to Connect 100+ Systems Without Creating 100+ Problems. The integration patterns behind our client work, including a global telecom running nearly 100 automated and integrated services.
- Integration Patterns That Scale to 100+ Systems
- Replace Glue Code With One Runtime
- Lessons From ~100 Integrated Services
Connectors
Start with the tools you use, and generate the rest.
- HubSpot
- Postgres
- MySQL
- MongoDB
- Snowflake
- BigQuery
- Stripe
- Shopify
- Kafka
- Google Sheets
- Airtable
- Notion
- GraphQL
And any system AI Nexus can generate.
Built for enterprise data.
Controls for the data that moves through every pipeline.
Dedicated infrastructure
Your pipelines run on infrastructure dedicated to you.
Compliance-grade audit trails
A record of what ran and what moved.
Machine identities and least privilege
Pipelines get only the access they need.
VPC and self-hosted options
Run Partic in your own environment.
At the heart of 10X
Partic runs in the 10X Value and 10X Operations Labs.
10X Value
Datasets and pipelines for the products you build.
Learn more →10X Value Lab →Set it up in a workshop →10X Operations
Data pipelines for the operations you run.
Learn more →10X Operations Lab →Set it up in a workshop →Works with the BIAMI stack
Frequently asked questions
What makes Partic different?
It combines ETL, reverse-ETL and workflow automation in one runtime, and every system is both a source and a destination.
Can it run in our own environment?
Yes, with VPC and private deployment options.
Do we need to write connectors?
No. AI Nexus generates them on demand.
What is AI Nexus?
A chat that generates connectors, builds pipelines from prompts and fixes issues.
How fast can I get a pipeline live?
Pipelines are built in minutes.