Featureform
Featureform (now Redis Feature Form) is an open-source MLOps company providing a virtual feature store platform that enables ML and AI teams to define, manage, and deploy data features across training and inference, serving enterprise customers including DoorDash and iFood.
- Company typePrivate
- Founded2021
- HeadquartersSan Francisco, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Featureform does
Featureform is an open-source MLOps company that developed a virtual feature store platform for machine learning and AI teams. The company's core technology is a virtual feature store architecture that allows data scientists to define features once as code and automatically generate production-grade data pipelines for both model training and inference. Rather than acting as a standalone data repository, Featureform orchestrates between existing offline data infrastructure (Snowflake, Databricks, Spark, Postgres, Apache Iceberg) and real-time serving via Redis, avoiding vendor lock-in. The platform includes enterprise capabilities such as workspace-scoped role-based access control, audit logs, atomic DAG version control, change impact analysis, and training-inference consistency tracking.
The business operates a hybrid freemium and enterprise licensing model. Developers and open-source community users access the platform free of charge via self-serve onboarding ('Start for free'), while enterprise customers engage through direct sales ('Talk to sales', 'Schedule a demo'). Named enterprise customers include DoorDash, which reported a 38% decrease in Redis latencies after adoption, and iFood, which uses the platform for sub-millisecond feature serving. The product is primarily marketed to data scientists and ML engineering teams at large enterprises, particularly those working with LLMs and RAG architectures, with supporting use cases in fraud detection, recommendations, and real-time decisioning.
Featureform was founded in 2021 by CEO Simba Khadder in San Francisco and raised a total of $8.1 million in disclosed funding, with the most recent round being a $5.5 million seed in December 2023 led by GreatPoint Ventures and Zetta Venture Partners. In October 2025, the company was acquired by Redis, Inc., a private equity-backed (Francisco Partners) in-memory data platform, and rebranded as 'Redis Feature Form.' Post-acquisition, the product is integrated into Redis's broader AI platform alongside offerings such as Redis Iris, LangCache, Context Retriever, and Agent Memory, and is distributed through Redis's enterprise sales motion and cloud partnerships with AWS, Google Cloud, and Microsoft Azure.
Featureform firmographics
Firmographics- Name
- Featureform
- Legal name
- Featureform
- Website
- https://featureform.com
- Company type
- Private
- Founded year
- 2021
- Operating status
- Acquired
- Headcount range
- 1–10 employees
- Short description
- Featureform (now Redis Feature Form) is an open-source MLOps company providing a virtual feature store platform that enables ML and AI teams to define, manage, and deploy data features across training and inference, serving enterprise customers including DoorDash and iFood.
- Ownership category
- akta.pro rank
Featureform industry classification
Industry- Product category
- ML Feature Store
- NAICS
- Custom Computer Programming Services (541511)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374)
- akta.pro primary industry
- Feature Stores & ML Data Management (HDAAABAB)
- akta.pro secondary industries
- Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB), Training Data Management, Versioning & Lineage (HDAAALAD)
Keywords
Where Featureform is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Featureform business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
Revenue model
- Enterprise Platform Licensing: Featureform/Redis Feature Form offers a platform that enterprise AI and ML teams use to manage feature lifecycles, with commercial licensing for production deployments alongside free self-serve access.
- Open-source Community: The open-source offering serves as a community-led growth channel, with free usage for developers and open-source communities that can expand into commercial enterprise deployments.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free self-serve tier for open-source community |
| Subscription | Annual | Enterprise commercial tier |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels5 records
Featureform product offering
Product offeringCore offering
Featureform (now Redis Feature Form) provides a virtual feature store platform that enables ML and AI teams to define features as code and automatically generate production-grade data pipelines for model training and inference. The platform orchestrates between offline data systems (Snowflake, Databricks, Spark, Postgres) and real-time serving via Redis, delivering sub-millisecond feature retrieval for production AI models, LLMs, and AI agents.
Product overview
Redis Feature Form (formerly Featureform) is a unified feature store platform that enables ML and AI teams to define, manage, and deploy data features for machine learning models and large language models. The platform provides a virtual feature store architecture that allows users to define features once and use them for both training and inference. It orchestrates data pipelines across existing data infrastructure (Snowflake, Databricks, Spark, Postgres) while serving features in real time through Redis. Key enterprise capabilities include workspace-scoped RBAC, atomic DAG version control, OpenTelemetry tracing, and Apache Iceberg integration for large dataset handling. The product is positioned as enabling sub-millisecond feature serving for fraud detection, recommendations, real-time decisioning, and AI agents.
Differentiator
Problem solved
Functional benefit
Products and services
- Redis Feature Form A virtual feature store platform that enables ML and AI engineering teams to define features as code and automatically turns those definitions into production-grade data pipelines. It orchestrates across offline data systems (Snowflake, Databricks, Spark, Postgres) and serves features in real time via Redis, supporting use cases such as fraud detection, recommendations, RAG architectures, and AI agent memory.
Quantifiable outcome
- 38% decrease in Redis latencies for DoorDash, improving runtime performance of serving ML models
- +1 more outcomes
Companies that use Featureform
Customer profileNamed customers2 records
Segments3 records
Ideal customer profiles3 records
Featureform technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration5 records
AI capability3 records
Feature8 records
Featureform partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- RediscoreRedis, Inc. (backed by Francisco Partners) acquired Featureform in October 2025 to integrate Featureform's framework for managing and orchestrating structured data signals into the Redis platform. The acquisition helps Redis address critical challenges developers face when integrating structured data into production AI systems, enabling real-time structured data delivery into AI agents. Featureform was rebranded as 'Redis Feature Form'.
Scale indicators2 records
Recent moves6 records
Expansion highlights5 records
Featureform competitors and assessment
Company assessmentDirect peers
- Feast: Open-source feature store explicitly integrated with Featureform (Feast can serve as the offline store while Redis handles online serving). Direct competitor in feature definition, transformation, and serving for ML models.
- Tecton: Enterprise feature platform with online + offline feature stores and real-time feature pipelines. Targets the same enterprise AI/ML teams as Featureform with comparable feature-store-as-code and low-latency serving.
- Hopsworks: Open-source and managed feature store with an MLOps platform. Competes head-to-head on feature management, pipelines, and online serving for ML use cases.
Broad incumbents
- Databricks (Feature Store / Unity Catalog): Bundles a feature store inside the Databricks Lakehouse Platform. A broad incumbent that competes by absorbing feature-store functionality into its data + AI platform, often undercutting standalone vendors on procurement convenience.
- AWS SageMaker Feature Store: Hyperscaler feature store bundled with the SageMaker ML platform. Represents the bundled-incumbent threat where enterprise customers prefer single-vendor ML stacks.
- Google Vertex AI Feature Store: GCP's managed feature store integrated with Vertex AI. Competes by offering feature storage and serving inside the broader Google Cloud AI ecosystem.
- Snowflake: Snowflake is a key offline data system Featureform integrates with. Increasingly offers feature-store-adjacent capabilities via Snowpark and partner apps, making it both a partner and a competitive incumbent for ML feature workflows.
Emerging players
- Continual: AI/ML platform with a focus on continuous model training and operational AI. Provides feature and pipeline automation that overlaps with parts of Featureform's orchestration layer.
- Rasgo: Feature platform built on top of the modern data stack, focused on feature engineering and automated feature generation. Targets similar enterprise data science buyers with overlapping feature-store functionality.
- Iguazio (now McKinsey QuantumBlack): MLOps platform offering feature store, model serving, and real-time pipelines. Comparable feature-store and real-time ML infrastructure focus for enterprise AI deployments.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat4 records
Key risks5 records
Key highlights6 records
Customer concentration
Featureform social profiles
Digital presenceFeatureform financial estimates
Financial estimateRevenue estimate
Valuation estimate
Featureform leadership team
Management profileNumber of profiles
Profiles1 record
Featureform funding detail
Funding detailFunding overview
Funding rounds3 records
Investors6 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Featureform 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 Featureform
What does Featureform do?
Featureform (now Redis Feature Form) provides a virtual feature store platform that enables ML and AI teams to define features as code and automatically generate production-grade data pipelines for model training and inference. The platform orchestrates between offline data systems (Snowflake, Databricks, Spark, Postgres) and real-time serving via Redis, delivering sub-millisecond feature retrieval for production AI models, LLMs, and AI agents.
Is Featureform a public or private company?
Featureform is a private company. It is classified as corporate owned and is currently acquired.
When was Featureform founded?
Featureform was founded in 2021. It employs 1 to 10 people.
Where is Featureform based?
Featureform is headquartered in San Francisco, United States, in the North America region.
How does Featureform make money?
Two revenue lines are on record. Enterprise Platform Licensing is the primary driver. The others are open-source Community.
Who are Featureform's main competitors?
Direct peers on record are Feast, Tecton and Hopsworks. Broad incumbents are Databricks (Feature Store / Unity Catalog), AWS SageMaker Feature Store, Google Vertex AI Feature Store and Snowflake. Emerging players are Continual, Rasgo and Iguazio (now McKinsey QuantumBlack).
Does Featureform have an API?
No public API is recorded for Featureform.
What industry is Featureform in?
Featureform's product category is ML Feature Store. Its primary akta.pro industry code is HDAAABAB, Feature Stores & ML Data Management, with a secondary code of HDAEANAB, Model Development & Training Platforms (AutoML, Notebooks, Feature Stores). Its NAICS code is 541511 and its SIC code is 7370.