Datalinx AI
Datalinx AI is an early-stage software company that provides an AI Data Refinery platform for enterprise marketing, advertising, and customer experience teams. The platform uses AI agents to automate data preparation, enrichment, and activation inside the customer's own cloud environment.
- Company typePrivate
- Founded2025
- HeadquartersNew York, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Datalinx AI does
Datalinx AI, Inc. is a venture-backed, pre-revenue startup founded in 2025 and headquartered in New York with an engineering hub in Austin, that provides an AI Data Refinery platform for enterprise marketing, advertising, and customer experience teams. The company targets the widely-cited problem that approximately 80% of data science time is consumed by data preparation and that the majority of AI projects fail due to data readiness gaps. Its core product automates data discovery, cleaning, transformation, validation, enrichment, and activation through specialized AI agents, with a flagship natural-language agent called Linx that allows non-technical users to query and explore data conversationally and build pipelines without engineering dependencies.
The platform is built on a hybrid cloud architecture (control plane + data plane) that operates inside a customer's own environment — AWS, Azure, GCP, Databricks, Snowflake, or BigQuery — without copying or moving customer data. This in-place processing model, combined with SOC 2 Type II compliance (AES-256 encryption at rest, TLS 1.2+ in transit, MFA, RBAC), is positioned to satisfy enterprise security and data governance requirements. Datalinx deploys purpose-built, context-engineered data schemas for marketing, advertising, and CX use cases (identity resolution, consent management, audience segmentation), and activates outputs into a broad ecosystem of downstream platforms including Meta Ads, Google Ads, Amazon Ads, The Trade Desk, Salesforce, HubSpot, Braze, Klaviyo, and Adobe. The AI stack combines proprietary agent orchestration with multiple third-party LLM providers (OpenAI, Anthropic, Meta Llama, DeepSeek, Hugging Face).
The company generates revenue through a volume-based, tiered SaaS subscription priced by the number of curated records flowing through the platform, billed monthly. Go-to-market combines a product-led beta launch signup on the company website with enterprise field sales targeting large organizations in retail, e-commerce, technology, media, telecom, and CPG verticals. As of early 2026, Datalinx had raised $4.2M in an oversubscribed seed round led by High Alpha with co-investment from Databricks Ventures and Aperiam (plus angels including Okta co-founder Frederic Kerrest), had been selected for the inaugural Databricks AI Accelerator Cohort and LiveRamp Agent Builders program, was operating with a 1-10 person founding team augmented by active engineering and product hiring, and was onboarding initial customers through a co-development engagement with Sallie Mae and a pilot with Albertsons Media Collective.
Datalinx AI firmographics
Firmographics- Name
- Datalinx AI
- Legal name
- Datalinx AI, Inc.
- Website
- https://datalinx.ai
- Company type
- Private
- Founded year
- 2025
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Datalinx AI is an early-stage software company that provides an AI Data Refinery platform for enterprise marketing, advertising, and customer experience teams. The platform uses AI agents to automate data preparation, enrichment, and activation inside the customer's own cloud environment.
- Ownership category
- akta.pro rank
Datalinx AI industry classification
Industry- Product category
- AI Data Preparation Platform
- NAICS
- Software Publishers (5132), Custom Computer Programming Services (541511), Computer Systems Design and Related Services (54151)
- SIC
- Services-Computer Processing & Data Preparation (7374), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Data Platform (Unified Data & Analytics) Suites (HDAEABAD)
- akta.pro secondary industries
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), Data Governance Platforms (Policies, Stewardship, Workflows) (HDAEADAB), Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM) (BPAEAHAC)
Keywords
Where Datalinx AI is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Datalinx AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- SaaS Platform Subscription: Monthly tiered SaaS subscription model based on the volume of curated records that flow through the platform. Customers pay for records they push through the AI data refinery, enabling use of advanced data discovery features while only paying for actual data processing.
- SaaS Platform Subscription: Additional SaaS subscription component with tiered pricing based on data volume tiers. Example: if a customer has 100M total records but only 30M are relevant for their challenges, their price corresponds to the 25-30M tier.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Usage-based | Monthly | Volume-based tiered pricing for curated records |
Go-to-market motion2 records
Distribution channels2 records
Marketing channels4 records
Datalinx AI product offering
Product offeringCore offering
Datalinx AI provides an AI Data Refinery platform that uses specialized AI agents to automate the discovery, cleaning, validation, transformation, enrichment, activation, and monitoring of consumer data. The platform is purpose-built for marketing, advertising, and customer experience use cases and deploys directly inside a customer's own cloud environment (AWS, Azure, GCP, Databricks, Snowflake) using a hybrid cloud architecture with no data copy or movement.
Product overview
Datalinx AI offers a single unified platform called the AI Data Refinery, complemented by its sub-product Linx (a data refinery agent). The platform operates as a modular system with distinct use case capabilities including Customer Data Platform unification, Data Quality & Enrichment, AI/ML Data Preparation, Real-time Data Streaming, and Data Governance & Compliance. The architecture features a hybrid cloud design with a control plane and data plane, where Linx serves as the natural language interface enabling users to interact with data conversationally. All processing occurs within the customer's own cloud environment without data copying or external hosting. The platform integrates with major cloud providers (AWS, Azure, GCP), data warehouses (Snowflake, Databricks, BigQuery), and activates data to marketing/ad platforms (Meta, Google, Amazon, The Trade Desk) and CRMs (Salesforce, HubSpot).
Differentiator
Problem solved
Functional benefit
Products and services
- Datalinx AI Data Refinery Platform An AI-powered SaaS data preparation platform that automates the discovery, cleaning, validation, transformation, enrichment, and activation of consumer data for enterprise marketing, advertising, and commerce use cases. Deployed directly inside a customer's data environment using a hybrid cloud architecture with no data copy or movement.
- Linx (Data Refinery Agent) An AI agent that enables natural language interaction with data, allowing users to query, explore, and prepare data using conversational language. Linx accelerates data preparation work and enables faster project deployment.
Quantifiable outcome
- 10X acceleration in time-to-value for creating AI-ready data products
- +5 more outcomes
Companies that use Datalinx AI
Customer profileNamed customers2 records
Segments3 records
Ideal customer profiles2 records
Datalinx AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration37 records
AI capability9 records
Feature7 records
Datalinx AI partnerships and signals
Strategic signalPartnerships
Seven partnerships are on record, tiered core.
- LiveRamp Agent Builders (LAB)coreDatalinx is a founding partner in LiveRamp Agent Builders program, enabling AI agents for marketing workflows including planning, measurement, activation, and data transformation. During the pilot phase, brands gain access to partner-built tools through LiveRamp's platform.
- Databricks AI AcceleratorcoreDatalinx was selected as one of five startups for Databricks' inaugural AI Accelerator Cohort 2025. The program offers up to $250,000 in investment capital, product and service credits, professional services credits, mentorship, and access to Databricks VC Network including Andreessen Horowitz, Battery Ventures, General Catalyst, and others.
- SnowflakecoreIntegration partner - Datalinx integrates with Snowflake as a cloud data warehouse and data environment. Part of Datalinx's ecosystem of partner integrations including cloud providers, data warehouses, and application platforms.
- DatabrickscorePrimary integration partner - Datalinx integrates with Databricks as a cloud data environment and data warehouse. Datalinx builds AI-driven agentic solutions integrating AI agents with Databricks for intelligent query and data retrieval.
- AWScoreCloud infrastructure partner - Datalinx operates on AWS (hosting provider per privacy policy). Part of integrated cloud data environments.
- Google (GCP/BigQuery)coreCloud infrastructure partner - Datalinx integrates with Google Cloud Platform including BigQuery as cloud data environment.
- Microsoft AzurecoreCloud infrastructure partner - Datalinx integrates with Microsoft Azure as cloud data environment.
Scale indicators6 records
Recent moves6 records
Expansion highlights6 records
Datalinx AI competitors and assessment
Company assessmentDirect peers
- Palantir Technologies: Palantir's Foundry and AIP platforms provide AI-driven data integration, ontology, and workflow automation for large enterprises — closely aligned with Datalinx's 'AI Data Refinery' concept of turning fragmented enterprise data into AI-ready assets. Both target large, regulated enterprises with domain-specialized data platforms.
- dbt Labs: dbt (data build tool) is the de facto standard for SQL-based data transformation in modern data warehouses. Datalinx's automated transformation and enrichment capabilities overlap with dbt's transformation layer and target similar data engineering personas.
- Alation: Alation is a leading data catalog and data governance platform. Datalinx's Data Governance & Compliance module and data quality monitoring compete for the same enterprise data trust, stewardship, and lineage budget.
- Monte Carlo Data: Monte Carlo is a data observability and data quality monitoring platform. Datalinx's data quality monitoring and anomaly detection capabilities are directly comparable for teams investing in trusted, AI-ready data pipelines.
- Hightouch: Hightouch is a reverse-ETL and Composable CDP platform that activates warehouse data into marketing, advertising, and CX tools — directly overlapping with Datalinx's 'Activate' capability and marketing-tech customer base.
- Census: Census provides reverse ETL for syncing warehouse data into operational systems, with strong traction in marketing and growth teams. Closely comparable to Datalinx's activation and marketing-data enrichment use cases.
Broad incumbents
- Databricks: Databricks' lakehouse platform (with Unity Catalog, Genie, and Clean Rooms) increasingly bundles data preparation, governance, and AI/ML capabilities that overlap with Datalinx's value proposition. Datalinx integrates deeply with Databricks but also competes for the same enterprise data-AI budget.
- Snowflake: Snowflake's data cloud plus Cortex AI and Snowpark provide data transformation, governance, and ML preparation natively. Datalinx is an integration partner but Snowflake's expanding native capabilities compete directly for the AI-data-readiness workload Datalinx targets.
- Informatica: Informatica's IDMC platform (with CLAIRE AI) provides enterprise-scale data integration, quality, governance, and master data management. It overlaps substantially with Datalinx's broader data refinery positioning across regulated enterprises.
- LiveRamp: LiveRamp is the leading data collaboration network for marketing and advertising. Datalinx is a founding partner in LiveRamp Agent Builders, but LiveRamp's broader data connectivity, clean room, and audience activation capabilities compete for the same enterprise marketing-data budget.
Market position
Strengths5 records
Weaknesses4 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Datalinx AI social profiles
Digital presenceDatalinx AI compliance and trust
Trust signalCompliance1 record
Datalinx AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Datalinx AI leadership team
Management profileNumber of profiles
Profiles4 records
Datalinx AI funding detail
Funding detailFunding overview
Funding rounds1 record
Investors4 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Datalinx 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 Datalinx AI
What does Datalinx AI do?
Datalinx AI provides an AI Data Refinery platform that uses specialized AI agents to automate the discovery, cleaning, validation, transformation, enrichment, activation, and monitoring of consumer data. The platform is purpose-built for marketing, advertising, and customer experience use cases and deploys directly inside a customer's own cloud environment (AWS, Azure, GCP, Databricks, Snowflake) using a hybrid cloud architecture with no data copy or movement.
Is Datalinx AI a public or private company?
Datalinx AI is a private company. It is classified as venture growth investor backed and is currently operating.
When was Datalinx AI founded?
Datalinx AI was founded in 2025. It employs 1 to 10 people.
Where is Datalinx AI based?
Datalinx AI is headquartered in New York, United States, in the North America region.
How does Datalinx AI make money?
Two revenue lines are on record. SaaS Platform Subscription is the primary driver. The others are saaS Platform Subscription.
Who are Datalinx AI's main competitors?
Direct peers on record are Palantir Technologies, dbt Labs, Alation, Monte Carlo Data, Hightouch and Census. Broad incumbents are Databricks, Snowflake, Informatica and LiveRamp.
Does Datalinx AI have an API?
No public API is recorded for Datalinx AI.
What industry is Datalinx AI in?
Datalinx AI's product category is AI Data Preparation Platform. Its primary akta.pro industry code is HDAEABAD, Data Platform (Unified Data & Analytics) Suites, with a secondary code of HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs). Its NAICS code is 5132 and its SIC code is 7374.