Tecton
Tecton provided an enterprise feature store platform for machine learning, automating raw-to-feature data pipelines and real-time serving for production ML and LLM applications. It served large enterprises via direct sales and cloud partnerships before being acquired by Databricks in August 2025.
- Company typePrivate
- Founded2019
- HeadquartersSan Francisco, United States
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What Tecton does
Tecton was an enterprise feature store platform for machine learning, founded in 2019 in San Francisco by Mike Del Balso (CEO) and Kevin Stump, both former Uber and Google ML engineers who led development of Uber's Michelangelo platform starting in 2015. The company's core product automated the conversion of raw data into production-grade ML features, providing feature consistency, governance, versioning, and low-latency real-time serving for models in production. The platform was extended in September 2024 with v1.0 and a GenAI-focused expansion enabling enterprises to productionize LLM applications and ground AI agents with real-time contextual data. Tecton commercialized its platform via direct enterprise field sales with quote-based subscription pricing, supplemented by strategic OEM and integration partnerships with Databricks, Snowflake, and AWS SageMaker that distributed the technology through the three dominant enterprise data and AI cloud platforms. The company's named enterprise customers spanned financial services (Coinbase) and travel/technology (HomeToGo), and the platform was recognized among the top-10 MLOps tools of 2024. After raising approximately $160M+ across multiple rounds led by Kleiner Perkins, Sequoia, and Andreessen Horowitz (last priced at a $900M post-money valuation in July 2022), Tecton was acquired by Databricks in August 2025 for approximately $900M to power the Agent Bricks product and strengthen Databricks' real-time AI agent data serving capabilities, integrating Tecton's roughly 90-person team and technology into the parent platform.
Tecton firmographics
Firmographics- Name
- Tecton
- Legal name
- Tecton
- Website
- https://tecton.ai
- Company type
- Private
- Founded year
- 2019
- Operating status
- Acquired
- Headcount range
- 51–100 employees
- Short description
- Tecton provided an enterprise feature store platform for machine learning, automating raw-to-feature data pipelines and real-time serving for production ML and LLM applications. It served large enterprises via direct sales and cloud partnerships before being acquired by Databricks in August 2025.
- Ownership category
- akta.pro rank
Tecton industry classification
Industry- Product category
- ML Data Infrastructure
- NAICS
- Computer Systems Design Services (541512), Custom Computer Programming Services (541511)
- SIC
- Services-Computer Integrated Systems Design (7373), Services-Computer Programming Services (7371)
- akta.pro primary industry
- Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)
Keywords
Where Tecton is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Tecton business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- Enterprise Feature Store Platform: Subscription-based revenue model providing enterprise customers access to Tecton's feature store platform for ML workloads. Platform enables organizations to deploy ML applications to production with enterprise support and governance capabilities.
Go-to-market motion2 records
Distribution channels4 records
Marketing channels3 records
Tecton product offering
Product offeringCore offering
Tecton provides an enterprise feature store platform that automates the transformation of raw data into production-ready features for machine learning models. The platform delivers real-time feature serving with low-latency data pipelines, governance, and consistency between training and inference environments. It also extends to productionizing LLM-powered applications through retrieval-augmented generation (RAG) and agent-based workflows.
Product overview
Tecton is a specialized ML data infrastructure company offering an enterprise feature store platform. The core product is the Tecton Feature Store Platform (v1.0), which enables enterprises to automate the conversion of raw data into machine learning features. The platform was expanded in September 2024 with LLM application productionization capabilities. Tecton positions itself as a specialized AI data platform layer distinct from broader cloud ML offerings like AWS SageMaker or Google Vertex, targeting companies requiring sophisticated data serving capabilities. The company was acquired by Databricks in August 2025 for approximately $900 million to enhance AI agent offerings and power Databricks' Agent Bricks product.
Differentiator
Problem solved
Functional benefit
Products and services
- Tecton Feature Store Platform An enterprise feature store platform that ingests, transforms, and serves ML features at scale for data science and ML engineering teams building production machine learning systems.
- Tecton Platform for LLM Applications A platform layer on top of the Tecton feature store that enables engineering teams to productionize LLM applications, including RAG pipelines and agent workflows, with enterprise-grade governance and real-time data integration.
Companies that use Tecton
Customer profileNamed customers2 records
Segments3 records
Ideal customer profiles2 records
Tecton technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability2 records
Feature3 records
Tecton partnerships and signals
Strategic signalPartnerships
Three partnerships are on record, tiered core.
- SnowflakecorePartnership to power real-time ML applications with Snowflake. Integration enables customers to leverage Tecton's feature store capabilities with Snowflake's data platform.
- DatabrickscorePartnership to help enterprises deploy machine learning applications to production in minutes. Tecton's feature store integrated with Databricks' platform for enhanced ML capabilities.
- Amazon Web ServicescoreIntegration with Amazon SageMaker enabling real-time ML capabilities. Customers can use Tecton's feature platform alongside AWS's ML services for production AI workloads.
Scale indicators4 records
Recent moves7 records
Expansion highlights5 records
Tecton competitors and assessment
Company assessmentDirect peers
- Hopsworks: Hopsworks is the most direct competitor to Tecton, offering an enterprise feature store and ML platform with online and offline feature serving, comparable target customers (large enterprises in financial services and other regulated industries), and similar subscription-based GTM.
- Domino Data Lab: Domino Data Lab is an enterprise MLOps platform providing model development, deployment, and feature management for regulated industries like financial services, serving as a directly comparable peer for large enterprises productionizing ML at scale.
- Weights & Biases: Weights & Biases is a leading MLOps platform offering experiment tracking, model registry, and increasingly feature/data management, targeting the same enterprise ML engineering audience as Tecton and recognized alongside it in the top MLOps tools lists.
- Iguazio (formerly acquired): Iguazio was an enterprise MLOps platform providing feature store, model serving, and real-time pipeline capabilities targeted at financial services and other regulated industries, making it a closely comparable peer to Tecton in the production ML infrastructure space.
Broad incumbents
- AWS SageMaker: AWS SageMaker is Amazon's end-to-end ML platform that includes a native feature store and competes with Tecton at the broad cloud-platform layer; Tecton positioned itself explicitly against SageMaker for enterprises requiring more sophisticated, low-latency feature serving.
- Google Vertex AI: Google Vertex AI is a hyperscaler ML platform offering feature store capabilities (Vertex AI Feature Store) and competes with Tecton as part of a broader cloud ML suite; Tecton explicitly differentiated against Vertex for enterprises needing more specialized, real-time feature engineering.
- Databricks: Databricks is the acquirer of Tecton and also a competing MLOps/data platform offering its own Databricks Feature Store and MLflow; pre-acquisition, Databricks was both a strategic partner and a competitor that ultimately integrated Tecton's technology into its Agent Bricks product.
- Snowflake: Snowflake is a core data platform partner that also competes through its Snowpark and ML feature capabilities; Tecton's Snowflake integration enabled joint enterprise deployments and Snowflake Ventures was an investor, making Snowflake both a channel partner and a horizontal competitor.
Emerging players
- Neptune.ai: Neptune.ai is an MLOps platform focused on experiment tracking and model metadata management that overlaps with Tecton's ML lifecycle tooling, though it focuses less on feature engineering and more on metadata and lineage for ML teams.
- Feast (Linux Foundation): Feast is an open-source feature store project under the Linux Foundation that competes with Tecton in the feature management layer for enterprises that prefer open-source/self-hosted alternatives; it represents the open-source competitive threat to Tecton's commercial offering.
Market position
Strengths5 records
Weaknesses4 records
Competitive moat5 records
Key risks5 records
Key highlights7 records
Customer concentration
Tecton social profiles
Digital presenceTecton financial estimates
Financial estimateRevenue estimate
Valuation estimate
Tecton leadership team
Management profileNumber of profiles
Profiles5 records
Tecton funding detail
Funding detailFunding overview
Funding rounds5 records
Investors10 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Tecton 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 Tecton
What does Tecton do?
Tecton provides an enterprise feature store platform that automates the transformation of raw data into production-ready features for machine learning models. The platform delivers real-time feature serving with low-latency data pipelines, governance, and consistency between training and inference environments. It also extends to productionizing LLM-powered applications through retrieval-augmented generation (RAG) and agent-based workflows.
Is Tecton a public or private company?
Tecton is a private company. It is classified as corporate owned and is currently acquired.
When was Tecton founded?
Tecton was founded in 2019. It employs 51 to 100 people.
Where is Tecton based?
Tecton is headquartered in San Francisco, United States, in the North America region.
How does Tecton make money?
One revenue line is on record: enterprise Feature Store Platform.
Who are Tecton's main competitors?
Direct peers on record are Hopsworks, Domino Data Lab, Weights & Biases and Iguazio (formerly acquired). Broad incumbents are AWS SageMaker, Google Vertex AI, Databricks and Snowflake. Emerging players are Neptune.ai and Feast (Linux Foundation).
Does Tecton have an API?
No public API is recorded for Tecton.
What industry is Tecton in?
Tecton's product category is ML Data Infrastructure. Its primary akta.pro industry code is HDAEANAB, Model Development & Training Platforms (AutoML, Notebooks, Feature Stores). Its NAICS code is 541512 and its SIC code is 7373.