Precog Data
Precog Data operates an AI-driven ELT data integration platform, branded as a "Context Engine for AI," that connects to 2,000+ SaaS APIs, automatically generates business semantic models, and delivers analytics-ready data to enterprise cloud data warehouses for use with major LLMs.
- Company typePrivate
- Founded2020
- HeadquartersBoulder, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Precog Data does
Precog Data is a private B2B SaaS company founded in 2020 and headquartered in Boulder, Colorado. It operates an AI-driven ELT (Extract, Load, Transform) data integration platform marketed as a "Context Engine for AI" — connecting to any SaaS application via API and delivering analytics-ready data to cloud data warehouses. The platform's core technical differentiation rests on proprietary mathematics, including Multidimensional Relational Algebra (MRA) and advanced schema detection, which convert complex nested JSON/XML structures into normalized SQL-ready relational tables without custom coding. It offers 2,000+ AI-powered connectors versus roughly 200 for established ELT competitors, and claims new API sources can be added in hours rather than weeks or months.
Precog sells to enterprise organizations across manufacturing, utilities, aerospace/defense, pharmaceuticals, retail and food & beverage — including named customers such as Northrop Grumman, Honda, AIG, Otsuka, OGE Energy, Biamp, Pink Lily and Snowflake Gelato. The platform supports all major cloud data warehouses and lakehouses (Snowflake, Databricks, BigQuery, SAP Datasphere, Redshift, PostgreSQL, SQL Server) plus downstream BI tools (Power BI, Tableau, Alteryx) and integrates with all four major LLM assistants (Claude, ChatGPT, Gemini, Copilot) through an automated semantic modeling layer that supplies business context to AI queries.
The business runs on annual SaaS subscriptions priced in fixed bundles of AI Assistants (starting at 3) and Intelligent Ingest sources (starting at 3), with unlimited users and rows, SOC 2 Type II and HIPAA/GDPR compliance. GTM is enterprise field-sales-led, augmented by the Snowflake Marketplace, channel partners (StarPoint Technologies, SouthEnd), and event presence (Snowflake Summit, SAP Sapphire). Total disclosed funding to date is approximately $3.82M, with a Venture Guides-led round closing in January 2025 that coincided with a complete senior leadership refresh — new CEO Jon Finegold (ex-Signiant) plus a new CFO, CXO, SVP Sales, VP Alliances and VP Customer Success — signaling an explicit transition from early-stage product validation to commercial scale-up.
Precog Data firmographics
Firmographics- Name
- Precog Data
- Legal name
- Precog Data Inc.
- Website
- https://precog.com
- Company type
- Private
- Founded year
- 2020
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Precog Data operates an AI-driven ELT data integration platform, branded as a "Context Engine for AI," that connects to 2,000+ SaaS APIs, automatically generates business semantic models, and delivers analytics-ready data to enterprise cloud data warehouses for use with major LLMs.
- Ownership category
- akta.pro rank
Precog Data industry classification
Industry- Product category
- Data Integration Platform (ELT)
- NAICS
- Software Publishers (513210), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Managed Application Platforms (App PaaS & Runtime Services) (HDABAAAD)
Keywords
Where Precog Data is headquartered
LocationHeadquarters
- HQ city
- Boulder
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Precog Data business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
Revenue model
- Annual SaaS Subscription: Precog operates on a subscription model with fixed annual pricing based on the number of AI Assistants or Sources deployed. Pricing includes unlimited users, unlimited rows, enterprise support, SOC 2 Type II security, and SAML SSO. There are no additional charges for data volume, number of destinations, or AI tools used.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | AI Assistants - Starts at 3 Assistants bundle |
| Subscription | Annual | Intelligent Ingest - Starts at 3 Sources bundle |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels8 records
Precog Data product offering
Product offeringCore offering
Precog is an AI-driven ELT data integration platform that connects to any SaaS API source and delivers analytics-ready, normalized data to cloud data warehouses such as Snowflake, Databricks, BigQuery, and SAP Datasphere. The platform automatically detects schemas, restructures complex nested JSON/XML into SQL-ready relational tables, and generates semantic models with business terminology, KPIs, definitions, and relationships so AI assistants (Claude, ChatGPT, Gemini, Copilot) can deliver accurate, auditable answers. It is sold as annual SaaS subscriptions bundled by AI Assistants or Intelligent Ingest source counts.
Product overview
Precog Data offers a unified Context Engine for AI platform that combines Intelligent Ingest for universal SaaS data connectivity with AI Assistants for natural language querying capabilities. The platform's core architecture includes Automated Semantic Modeling that automatically generates business-specific semantic models, bridging the gap between raw data and AI-ready context. Precog Express provides a secure cloud deployment option. The platform delivers data from any SaaS API source directly to cloud data warehouses (Snowflake, Databricks, BigQuery, SAP Datasphere, PostgreSQL, Redshift, SQL Server) with automatic schema detection, transformation, and semantic enrichment—eliminating manual coding and data engineering work.
Differentiator
Problem solved
Functional benefit
Products and services
- Precog Platform (Context Engine for AI) Unified Context Engine for AI platform that combines Intelligent Ingest (universal SaaS data connectivity with automated schema detection and CDC) and AI Assistants (natural language querying with live semantic models) to deliver analytics-ready data to cloud data warehouses such as Snowflake, Databricks, BigQuery, SAP Datasphere, PostgreSQL, Redshift, and SQL Server, with native integrations to Claude, ChatGPT, Gemini, and Microsoft Copilot.
- Intelligent Ingest A universal data connector module that loads data from any SaaS application source and delivers structured, semi-structured, and unstructured data as normalized relational tables to cloud data warehouses. Features automatic schema detection, incremental loading, real-time CDC synchronization, and handles authentication, pagination, throttling, and complex JSON/XML structures without manual coding.
- AI Assistants Deploys AI Assistants that generate a robust context layer with business terminology, KPIs, and definitions so users can ask questions of their data using Claude, ChatGPT, Gemini, or Copilot with live context models containing business logic. Continually improves with user feedback while data teams maintain enterprise-grade governance.
- Precog Express Secure cloud-based deployment option for the Precog platform with enterprise-grade security, including Auth0 authentication, TLS 1.2+ encryption in transit, AES 256 encryption at rest, read-only access to data sources, MFA, role-based access control, least privilege access, centralized logging, automated security monitoring, and built-in ticketing for self-service support.
- Databricks SQL Destination Native destination support for Databricks SQL, allowing customers to load analytics-ready data directly into Databricks for analytics and AI workloads.
Quantifiable outcome
- Reduces data integration delivery timelines by 30-50%
- +4 more outcomes
Companies that use Precog Data
Customer profileNamed customers8 records
Segments6 records
Ideal customer profiles4 records
Precog Data technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration26 records
AI capability5 records
Feature6 records
Precog Data partnerships and signals
Strategic signalPartnerships
Seven partnerships are on record, tiered core and regional.
- SnowflakecoreCertified Snowflake integration partner after completing rigorous integration testing. Snowflake's 8500+ customers have access to Precog's 2000+ AI-powered connectors through the Snowflake marketplace. Precog is also available for Snowflake marketplace committed spend purchases.
- StarPoint TechnologiescoreStrategic partnership with StarPoint Technologies, Inc., a leading provider of enterprise data and BI services. StarPoint provides advisory, delivery and managed services to Precog customers. This partnership helps customers overcome data integration challenges and deliver actionable insights to improve financial and operational outcomes.
- SouthEndregionalSAP Ariba reseller focused on Latin America chose Precog to power growth in its Ariba-based analytics business. SouthEnd serves customers throughout Latin America with Precog's ability to streamline data access from enterprise applications like Ariba, FieldGlass, SuccessFactors and Concur.
- SAPcoreSAP partnership includes certified integration with SAP Datasphere, SAP DataFabric, and HANA. Precog is recognized as SAP Spotlight Build Partner. The partnership enables enterprise customers to access data from SAP applications including Ariba, Concur, SuccessFactors, Fieldglass, and Workday for analytics.
- Google CloudcoreAchieved Google Cloud Ready - BigQuery Designation, enabling seamless integration with Google BigQuery for data warehousing and analytics.
- AlteryxcoreAlteryx technology partner providing no-code tool for connecting APIs and data sources directly to Alteryx Designer. Precog provides a free macro in the Alteryx gallery enabling users to load data directly to Alteryx from any API source. Supports over 6000 data sources with preconfigured connectors.
- DatabrickscorePrecog now supports Databricks SQL as a destination, enabling customers to load data directly into Databricks for analytics and AI workloads.
Scale indicators7 records
Recent moves6 records
Expansion highlights7 records
Precog Data competitors and assessment
Company assessmentDirect peers
- Airbyte: Airbyte is an open-source ELT platform with a large connector catalog and self-hosted/managed deployment options. It competes head-to-head with Precog on SaaS API connectivity and is a key rival in the data integration category.
- Fivetran: Fivetran is the leading automated ELT provider, connecting to hundreds of SaaS sources and loading into cloud data warehouses. It is the most direct competitor to Precog's Intelligent Ingest, with broader brand recognition and substantially larger funding.
- Matillion: Matillion offers a cloud-native ELT platform targeting Snowflake, BigQuery, Databricks, and Redshift. It competes with Precog on enterprise data ingestion and transformation, and shares the same cloud-warehouse-native positioning.
- Stitch (by Talend/Qlik): Stitch provides simple, SaaS-managed ELT pipelines focused on moving data from SaaS sources into cloud warehouses. Its self-service connector approach overlaps directly with Precog's Intelligent Ingest.
- Hevo Data: Hevo is a no-code data pipeline platform that automates ingestion from 150+ SaaS sources into cloud warehouses. It targets similar mid-market and enterprise buyers with a comparable ELT value proposition.
- Rivery: Rivery offers a SaaS ELT and orchestration platform with SaaS connectors and reverse-ETL capabilities. It competes with Precog in the automated ingestion category and is frequently evaluated alongside Fivetran and Airbyte.
Broad incumbents
- Informatica: Informatica is the largest enterprise data integration vendor, offering a broad suite spanning ingestion, transformation, governance, and master data. It competes with Precog for large, regulated enterprise accounts, but with a much heavier and more expensive footprint.
- MuleSoft (Salesforce): MuleSoft provides an enterprise integration platform as part of Salesforce, connecting SaaS, on-prem, and API systems. It overlaps with Precog's connectivity value proposition, but targets broader application integration use cases at higher price points.
Emerging players
- Hightouch: Hightouch pioneered reverse-ETL, syncing warehouse data back into SaaS operational systems. While its directionality is opposite to Precog's, it competes for the same 'data activation' budget and increasingly bundles ingestion and semantic features.
Others
- dbt Labs: dbt Labs is the standard for analytics engineering and SQL-based transformation in the modern data stack. dbt is complementary to Precog's ingestion layer and is commonly co-deployed, but it increasingly overlaps on the semantic-modeling narrative Precog uses.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Precog Data social profiles
Digital presencePrecog Data compliance and trust
Trust signalCompliance5 records
Precog Data financial estimates
Financial estimateRevenue estimate
Valuation estimate
Precog Data leadership team
Management profileNumber of profiles
Profiles8 records
Precog Data funding detail
Funding detailFunding overview
Funding rounds4 records
Investors5 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Precog Data 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 Precog Data
What does Precog Data do?
Precog is an AI-driven ELT data integration platform that connects to any SaaS API source and delivers analytics-ready, normalized data to cloud data warehouses such as Snowflake, Databricks, BigQuery, and SAP Datasphere. The platform automatically detects schemas, restructures complex nested JSON/XML into SQL-ready relational tables, and generates semantic models with business terminology, KPIs, definitions, and relationships so AI assistants (Claude, ChatGPT, Gemini, Copilot) can deliver accurate, auditable answers. It is sold as annual SaaS subscriptions bundled by AI Assistants or Intelligent Ingest source counts.
Is Precog Data a public or private company?
Precog Data is a private company. It is classified as venture growth investor backed and is currently operating.
When was Precog Data founded?
Precog Data was founded in 2020. It employs 11 to 50 people.
Where is Precog Data based?
Precog Data is headquartered in Boulder, United States, in the North America region.
How does Precog Data make money?
One revenue line is on record: annual SaaS Subscription.
Who are Precog Data's main competitors?
Direct peers on record are Airbyte, Fivetran, Matillion, Stitch (by Talend/Qlik), Hevo Data and Rivery. Broad incumbents are Informatica and MuleSoft (Salesforce). Hightouch is listed as an emerging player. dbt Labs is listed as an others.
Does Precog Data have an API?
Yes. Precog connects to SaaS applications via APIs. Users can configure connections, set authentication, pagination, and other parameters through the platform's GUI. The studio.precog.cloud platform provides API-based access for connecting to data sources and destinations. Precog Express leverages encrypted connections by default when pulling data from SaaS or other data sources and when transmitting to selected data destinations. Developer documentation is at studio.precog.cloud/docs.
What industry is Precog Data in?
Precog Data's product category is Data Integration Platform (ELT). Its primary akta.pro industry code is HDABAAAD, Managed Application Platforms (App PaaS & Runtime Services). Its NAICS code is 513210 and its SIC code is 7372.