What Spiral does

Spiral is a New York-based data infrastructure company, founded in 2023, that builds a multimodal data platform for frontier AI workloads. Its core product unifies video, images, audio, embeddings, point clouds, LIDAR/IMU streams, tables, text, geospatial, and time-series data under a single query language, permissions model, and coordinate-frame architecture, with declarative training samples materialized on demand and free reproducibility via an asof(T) time-travel construct. The underlying storage layer is Vortex, an open columnar file format created by Spiral and donated to the Linux Foundation in August 2025; Vortex supports compute pushdown over compressed data using FastLanes, ALP, and FSST codecs, and integrates with Apache Iceberg, Spark, DataFusion, DuckDB, and Polars.

The company's go-to-market is enterprise-focused, using 'Request Access' CTAs to qualify design-partner customers among frontier AI companies and large enterprise data teams running petabyte-scale multimodal pipelines. Spiral also operates an open-source distribution motion for Vortex across Rust, Python, Java, and C bindings. Backers include Microsoft, Snowflake, NVIDIA, Palantir, CMU Database Group, InfluxData, ParadeDB, Polar Signals, and Wes McKinney as Linux Foundation project supporters, and Amplify Partners and General Catalyst (with BoxGroup and Operator Partners) as $22M equity investors in a September 2025 round.

Spiral maintains offices in New York City and London, employs 11-50 people, and is led by co-founders Nicholas Gates and Will Manning. The company has not disclosed pricing, revenue, or named customers; the platform appears to be in early design-partner and pilot phase as of the September 2025 public launch.

Name

Spiral

Legal name

Spiral

Website

https://spiraldb.com

Company type

Private

Founded year

2023

Operating status

Operating

Headcount range

11–50 employees

Short description

Spiral is a New York-based data infrastructure company building a multimodal data platform and the open-source Vortex columnar format to serve petabyte-scale AI training and analytics workloads for frontier AI companies and large enterprises.

Ownership category

akta.pro rank

Product category

AI Data Infrastructure

NAICS

Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)

SIC

Services-Prepackaged Software (7372), Services-Computer Processing & Data Preparation (7374)

akta.pro primary industry

Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)

akta.pro secondary industry

Model Deployment, Serving & Inference Platforms (HDAAABAF)

Keywords

• Multimodal data platform
• AI data infrastructure
• Columnar file format
• Machine learning data
• Video warehousing

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Revenue model

1. Enterprise Data Platform License/Subscription: Spiral offers a multimodal data platform for frontier AI companies. The 'Request Access' sales motion and enterprise-focused positioning suggest a subscription or enterprise license model, likely with cloud deployment options.

Go-to-market motion1 record

Distribution channels3 records

Marketing channels6 records

Core offering

Spiral is a multimodal data platform for frontier AI that combines an object-store native data warehouse with the Vortex open columnar file format. It is purpose-built to feed GPU accelerators with model-ready tensors across video, images, audio, embeddings, point clouds, LIDAR/IMU, tables, text, geospatial, and time series data. The platform runs hybrid across neocloud, traditional cloud, and on-prem clusters, and sells into enterprise AI and data teams via a quote-based 'Request Access' motion.

Product overview

Spiral offers a unified multimodal data platform for frontier AI, consisting of the Spiral core platform and the Vortex open-source columnar file format. Spiral handles machine-scale data processing across all modalities (video, images, audio, embeddings, point clouds, LIDAR, tables, text, geospatial, time series) with one query language and permissions model. Vortex, donated to the Linux Foundation, provides the underlying compressed columnar storage format with state-of-the-art codecs (FastLanes, ALP, FSST) and compute push-down capabilities. The platform integrates with major query engines (DataFusion, DuckDB, Polars, Spark) and cloud data systems (Apache Iceberg). Technical deep dives document specialized handling for video, images, audio, geospatial, and robotics data modalities.

Differentiator

Problem solved

Functional benefit

Brands

• Vortex: Open columnar file format developed by Spiral, donated to the Linux Foundation. A compressed Arrow-compatible format supporting multiple encodings (FastLanes, ALP, FSST) and compute push-down.

Products and services

• Spiral Multimodal data platform for frontier AI that unifies video, images, audio, embeddings, point clouds, LIDAR/IMU, tables, text, geospatial, and time series under one tree, one query language, and one permissions model. Object-store native, runs hybrid across neocloud, traditional cloud, and on-prem clusters, and turns compressed bytes into model-ready GPU tensors. Sold to enterprise AI and data platform teams via a 'Request Access' sales motion.
• Vortex Open-source compressed columnar file format (Arrow-compatible) developed by Spiral and donated to the Linux Foundation. Delivers Parquet-level compression with significantly better scan and random-access performance, supports compute pushdown over compressed data, and integrates with DataFusion, DuckDB, Polars, and Apache Spark. Distributed via GitHub with Rust, Python, Java, and C bindings.

Quantifiable outcome

• 10-20x faster scan performance compared to Parquet
• +4 more outcomes

Segments2 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration6 records

AI capability6 records

Feature7 records

Partnerships

Two partnerships are on record, tiered flagship and core.

• Linux FoundationflagshipStrategic or Co-development Partner · 6 August 2025Vortex was donated to the Linux Foundation as an Incubation stage project. This provides neutral governance, broad ecosystem distribution, and industry credibility for the open columnar format.
• Microsoft Gray Systems LabcoreStrategic or Co-development Partner · 1 April 2025Partnership with Microsoft Gray Systems Lab to build and demonstrate Vortex integration with Apache Iceberg. Presented results at Iceberg Summit 2025. Lab provided Azure test infrastructure and collaboration on making Iceberg more pluggable.

Scale indicators6 records

Recent moves7 records

Expansion highlights6 records

Emerging players

• LanceDB: LanceDB is an open-source multimodal AI data lake built on the Lance columnar format with deep integration into the PyTorch ecosystem. It is one of the closest direct competitors to Spiral/Vortex, targeting the same multimodal AI training and retrieval workloads with its own format-driven architecture.
• Pinecone: Pinecone is a managed vector database purpose-built for AI retrieval-augmented generation and similarity search. It overlaps with the AI data infrastructure layer Spiral serves, but focuses specifically on embeddings rather than the broader multimodal training data warehouse.
• MotherDuck / DuckDB Labs: DuckDB is a leading in-process analytical database with a strong open-source community and Vortex integration. It competes in the analytics layer that Spiral serves and represents both a partnership (via Vortex) and competitive vector for in-process query workloads.
• Weaviate: Weaviate is an open-source vector and hybrid search database targeting AI applications. Like Pinecone, it competes in the AI data layer adjacent to Spiral's multimodal platform, focusing on retrieval rather than petabyte-scale training data management.

Direct peers

• ClickHouse: ClickHouse is a high-performance open-source columnar OLAP database widely used for analytics on large datasets. It competes with Spiral's analytics acceleration value proposition, particularly for sub-second query performance on large columnar data, though it does not natively address multimodal AI training workloads.
• VAST Data: VAST Data is an AI-native data platform combining storage and compute for deep learning and analytics workloads. It directly competes with Spiral's positioning as a unified platform for machine-scale data, targeting similar frontier AI and enterprise customers with comparable throughput and scalability promises.

Broad incumbents

• Snowflake: Snowflake is a leading cloud data warehouse expanding into AI and unstructured data workloads. Although Snowflake is also a Spiral/Vortex backer, its Cortex AI and Iceberg table offerings overlap with Spiral's multimodal analytics ambitions across shared enterprise customers.
• DDN (DataDirect Networks): DDN provides high-performance storage infrastructure for AI and HPC workloads at hyperscale. It is a broader incumbent in the AI data infrastructure stack with comparable throughput and scale claims, but sells primarily at the storage hardware/system layer rather than as a software platform.
• Databricks: Databricks is the dominant lakehouse platform built on Apache Spark and a strong contributor to Apache Iceberg. It overlaps with Spiral in Iceberg-native analytics acceleration and ML data preparation, but addresses a far broader data + AI workload portfolio rather than specializing in multimodal AI warehousing.

Others

• MinIO: MinIO is the leading open-source object storage system compatible with the S3 API, widely deployed as the substrate underneath AI data lakes. It is not a direct competitor but an enabling layer in the same stack; Spiral's object-store native architecture runs on top of MinIO in many enterprise deployments.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks7 records

Key highlights7 records

Customer concentration

• Xx.com/SpiralDB
• GitHubgithub.com/spiraldb/vortex
• LinkedInlinkedin.com/company/spiraldb

Revenue estimate

Valuation estimate

Number of profiles

Profiles6 records

Funding overview

Funding rounds2 records

Investors5 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Spiral