Vigo AI
Prequel is a data warehouse integration API platform that lets SaaS companies replicate customer data into 20+ destinations and white-label in-app data onboarding via an embeddable React SDK. It serves enterprise SaaS customers on an annual, destination-based subscription.
- Company typePrivate
- Founded-
- Headquarters—
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Vigo AI does
Prequel operates a data warehouse integration API platform purpose-built for SaaS companies that need to move customer data into and out of their end-users' data infrastructure. The platform's core product, Prequel Transfers, provides real-time data replication between source applications and downstream warehouses, lakes, and databases. Layered on top is Prequel Customer Experience, an embeddable React SDK that lets customers white-label the data onboarding and destination-selection experience inside their own product UI, turning what is typically a back-office ETL concern into an in-app workflow for end-users. The architecture is supported by Ephemeral Workers, a short-lived execution model marketed as a security and isolation primitive, and the platform holds SOC 2 Type II certification.
The most recently introduced product surface is Prequel Import, which extends the platform beyond reverse-ETL into upstream data ingestion into customer applications. On the destination side, Prequel supports 20+ data platforms spanning hyperscaler warehouses (Snowflake, BigQuery, Redshift, Databricks), operational databases (Postgres, MySQL, Oracle, MongoDB, ClickHouse), and object storage (S3, Azure Blob Storage, Google Cloud Storage). Prequel sells primarily to enterprise SaaS companies via a field sales motion, complemented by product-led growth through the Customer Experience SDK, which surfaces Prequel in front of every end-user of each customer. Pricing is destination-based on an annual subscription. Publicly named customers include Zuora, LaunchDarkly, Gong, Iterable, Webflow, Metronome, Drata, Postscript, Orb, Kevel, Modern Treasury, LogRocket, Quantum Metric, and Knock.
Vigo AI firmographics
Firmographics- Name
- Vigo AI
- Website
- https://vigoai.com
- Company type
- Private
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Prequel is a data warehouse integration API platform that lets SaaS companies replicate customer data into 20+ destinations and white-label in-app data onboarding via an embeddable React SDK. It serves enterprise SaaS customers on an annual, destination-based subscription.
- Ownership category
- akta.pro rank
Vigo AI industry classification
Industry- Product category
- Data Integration Platform
- NAICS
- Software Publishers (5132), Computer Systems Design Services (541512)
- SIC
- Services-Computer Integrated Systems Design (7373), Services-Computer Processing & Data Preparation (7374)
- akta.pro primary industry
- Data Engineering, Integration & ETL/ELT Services (BPAEAHAB)
Keywords
Vigo AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Platform Subscription/Destination-based Pricing: Prequel charges based on destinations rather than data volume, providing predictable budgets for customers. This is a subscription-based model with destination counts as the primary billing metric.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Destination-based pricing model |
Go-to-market motion1 record
Distribution channels2 records
Marketing channels6 records
Vigo AI product offering
Product offeringCore offering
Vigo AI operates Prequel, a data warehouse integration platform that enables SaaS companies to move customer data from their warehouse to downstream operational systems. The platform offers data export and import capabilities, customer experience tooling, and a library of pre-built connections to data warehouses, SaaS tools, and internal systems.
Product overview
Prequel is a unified data integration platform offering multiple interconnected modules for data export and import operations. The core platform consists of Data Export (sending data to databases, data warehouses, and object storage services), Data Import (building warehouse native applications on customer data), Customer Experience (embeddable React SDK for customizable customer interfaces), Connections (integrations with 20+ data platforms), and Security (enterprise-grade security with ephemeral workers and deployment flexibility). The platform supports transferring up to 100 million rows per destination every 15 minutes, and charges for destinations rather than data volume.
Differentiator
Problem solved
Functional benefit
Products and services
- Data Export
Quantifiable outcome
- Add 20+ platforms in less time than it would take to integrate with one data warehouse
- +2 more outcomes
Companies that use Vigo AI
Customer profileNamed customers14 records
Segments1 record
Ideal customer profiles1 record
Vigo AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration23 records
Feature3 records
Vigo AI partnerships and signals
Strategic signalPartnerships
Seven partnerships are on record, tiered core.
- Amazon (Athena, Aurora MySQL, Aurora Postgres, S3)coreNative integration partnerships with Amazon services including Athena, Aurora MySQL, Aurora Postgres, and S3 for data querying, database, and object storage capabilities.
- Google Cloud (BigQuery, Google Cloud Storage)coreNative integrations with Google Cloud platform services including BigQuery data warehouse and Google Cloud Storage.
- SnowflakecoreNative integration with Snowflake cloud data platform for data warehouse connectivity.
- DatabrickscoreNative integration with Databricks for lakehouse platform connectivity and data analytics.
- Microsoft (Azure Blob Storage, SQL Server)coreNative integrations with Microsoft Azure Blob Storage and SQL Server for cloud storage and database capabilities.
- MongoDBcoreNative integration with MongoDB document database for NoSQL data connectivity.
- ClickhousecoreNative integration with Clickhouse for analytical database connectivity.
Scale indicators4 records
Recent moves6 records
Expansion highlights4 records
Vigo AI competitors and assessment
Company assessmentDirect peers
- RudderStack: Customer data platform with warehouse-native reverse-ETL and event-streaming capabilities. Overlaps with Prequel on bidirectional warehouse-to-application data flows and on serving SaaS companies building customer-facing data products.
- Airbyte: Open-source data integration platform with a large connector catalog that moves data into warehouses and lakes. Closest direct peer to Prequel on breadth of destinations and warehouse-first architecture; competes head-to-head for SaaS data-export workloads.
- Matillion: Cloud-native data integration and transformation platform that loads data into Snowflake, BigQuery, Redshift, and Databricks. Comparable to Prequel on warehouse destinations and SaaS-style deployment, with a stronger emphasis on in-warehouse transformation.
- Census: Reverse-ETL and operational analytics platform that moves warehouse data into business tools. Direct competitor on the reverse-ETL use case and on the embedded, customer-facing activation experience Prequel enables via its React SDK.
- Hightouch: Reverse-ETL platform that syncs data from warehouses into operational systems, with a SaaS-friendly customer-facing experience. Closely comparable to Prequel's destination-based, customer-facing data-product motion and target buyer (product/engineering leaders at SaaS companies).
- Stitch (by Talend / Qlik): Self-service data pipeline that replicates data from SaaS sources into warehouses and lakes. Comparable to Prequel on data-replication mechanics and warehouse destinations, though positioned more for internal analytics teams than embedded customer-facing exports.
Broad incumbents
- Informatica: Enterprise data integration and management suite covering ingestion, replication, governance, and master data. Broader and older incumbent in the same category Prequel targets, particularly relevant to large regulated buyers evaluating integration vendors.
- Fivetran: Automated data integration platform that replicates data from source systems into warehouses. Most direct functional analog to Prequel's data-export core, but with a much broader connector catalog and enterprise footprint rather than SaaS-customer-facing embedding.
Emerging players
- Workato: Enterprise automation and iPaaS platform that connects SaaS apps, data warehouses, and APIs with embedded workflows. Adjacent competitor where buyers weigh integration-and-automation suites against a focused data-export layer like Prequel.
- Tray.io (Tray AI): General-purpose iPaaS with strong API and SaaS connectivity plus embedded integration capabilities. Comparable to Prequel on embedded/white-label integration experiences and on selling to product teams building customer-facing integrations.
Market position
Strengths5 records
Weaknesses4 records
Competitive moat4 records
Key risks6 records
Key highlights6 records
Customer concentration
Vigo AI social profiles
Digital presenceVigo AI compliance and trust
Trust signalCompliance1 record
Vigo AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Vigo AI leadership team
Management profileNumber of profiles
Profiles1 record
Vigo AI funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Vigo AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Vigo AI
What does Vigo AI do?
Vigo AI operates Prequel, a data warehouse integration platform that enables SaaS companies to move customer data from their warehouse to downstream operational systems. The platform offers data export and import capabilities, customer experience tooling, and a library of pre-built connections to data warehouses, SaaS tools, and internal systems.
When was Vigo AI founded?
Vigo AI was founded in -1. It employs 1 to 10 people.
How does Vigo AI make money?
One revenue line is on record: platform Subscription/Destination-based Pricing.
Who are Vigo AI's main competitors?
Direct peers on record are RudderStack, Airbyte, Matillion, Census, Hightouch and Stitch (by Talend / Qlik). Broad incumbents are Informatica and Fivetran. Emerging players are Workato and Tray.io (Tray AI).
Does Vigo AI have an API?
Yes. Prequel provides an API for data warehouse integrations. The API enables developers to replicate live data from their platform to their customer's data warehouse, sync data from their customer's data warehouse into their platform, and operate securely and at scale. Developer documentation is at docs.prequel.co/docs/quickstart-guide-export.
What industry is Vigo AI in?
Vigo AI's product category is Data Integration Platform. Its primary akta.pro industry code is BPAEAHAB, Data Engineering, Integration & ETL/ELT Services. Its NAICS code is 5132 and its SIC code is 7373.