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Connect, activate, run… build pipelines in minutes.
One execution layer where every system is both a source and a destination. Workflows, transformations, and integrations all run on the same API-driven core, bidirectional by default.
No card to start · design pipelines for free · pay only when you set up an environment
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Three steps from a cold system to a live pipeline. No glue code, no separate reverse-ETL tool, no scheduler to babysit.
Pick a source or describe one to AI Nexus. It generates the connector, maps the schema, and registers the system as a source, a destination, or both.
Add cleansing, enrichment, and expand steps inline. Set a trigger: an event, a request, or a schedule. CDC keeps everything in sync.
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
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, bidirectional by default.
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, so data flows either direction with no separate reverse-ETL tool.
Bidirectional by defaultPipelines run as live, addressable APIs, event-triggered or on demand. Not scenarios queued behind a scheduler.
Continuous execution runtimeCleansing, enrichment, and expand ship as native steps. No external transform tool, no glue code, no extra hop.
Native feature layerDescribe what you need in chat. AI Nexus builds connectors and full pipelines, and helps you debug and fix issues when a run misbehaves.
Change data capture ships with every plan. Enable incremental sync per pipeline, no premium add-on to buy.
Event and request-triggered pipelines run continuously. No batch windows, no polling lag.
Built-in audit trails and dedicated infrastructure per customer. Ready for the review before it starts.
First-class machine identities and service accounts. Least-privilege access for every pipeline.
Run Partic inside your own network. Enterprise deployment without giving up the AI-native core.
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, bidirectionally, by default.
| 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 |
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Design pipelines and wire up integrations for free. You're charged when you set up an environment, not when you activate a pipeline, priced per environment, not per seat. Scale to dedicated infrastructure when you need it.
Design pipelines, connect sources and destinations, and wire up integrations: no card, no time limit.
Charged when you set up an environment, not when you activate a pipeline. Scales with environments, not seats.
Dedicated infrastructure, compliance-grade audit trails, and private deployment for teams that need it.
Straight answers for platform and data engineers. If something is missing, talk to us.
$50/mo per environment when you set up an environment, not when you activate a pipeline, and you can run up to 10 pipelines in parallel per environment. Enterprise adds dedicated infrastructure, compliance-grade audit, and private deployment.Connect a source, pick a destination, and ship: no sales call required to see it run.