Scailium
Scailium is a New York-based private software company selling a GPU-native AI Production Layer to enterprises across financial services, manufacturing, telecom, pharma, and supply chain. The software eliminates GPU starvation, lifting utilization from approximately 40% to over 80%.
- Company typePrivate
- Founded2015
- HeadquartersNew York, United States
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What Scailium does
Scailium is a New York-based private software company that markets itself as the creator of the world's first GPU-native AI Production Layer, a software engine designed to eliminate what the company calls GPU starvation — the idle time that occurs when CPU-bound data pipelines cannot feed modern AI hardware fast enough. The company targets large, data-intensive enterprises across financial services, manufacturing, telecommunications, life sciences, supply chain, and retail, where customers include NCBA Group, three undisclosed Fortune 500 companies in telecom and electronics, and anonymized design wins in manufacturing, pharma, and supply chain. Operating geographies span the United States, Kenya, Germany, India, and Australia. The firm was founded by a team with over a decade of GPU-native acceleration experience and emerged from 10 months of stealth in February 2025, with year-founding data reflecting 2025 in firmographic records and an earlier founding reference in the company's own history.
The core product is a GPU-native software engine that collapses the traditional CPU-bound data pipeline — ingestion, parsing, tokenization, transformation, vectorization, curation, and injection — into a direct, zero-copy path from enterprise storage to GPU silicon. Documented proprietary features include Direct-Read Ingestion, a Parallel Transformation Engine executed on GPU cores, and Runtime Injection into NVIDIA CUDA-X enabled infrastructure. Scailium also references Model Context Protocol (MCP) integration and a portfolio of 8+ filed patents covering GPU-native data processing methods. The architecture is designed to deploy as a non-invasive layer without requiring re-architecture of customers' existing data stacks, and claims to lift GPU utilization from approximately 40% to over 80% while reducing power consumption per unit of throughput.
Scailium operates an enterprise software licensing model with recurring subscription revenue, distributed primarily through channel partnerships — most notably a flagship distribution agreement with TD SYNNEX announced February 24, 2026 that provides access to solution providers across 100+ countries. Complementary go-to-market motions include direct enterprise field sales targeting large customers, and integration partnerships with OEMs and cloud providers including NVIDIA, Oracle, Vultr, Hitachi Vantara, Dataiku, Weka, VAST Data, and Denodo. No public pricing exists; engagement requires a contact form. The leadership team comprises CEO Liam Galin, Co-Founder and CTO Razi Shoshani, CFO Alberto Sessa, Chief Business Officer Ittai Bareket, and VPs across HR, R&D, Customer Delivery, and Marketing. No external funding rounds, revenue figures, or institutional ownership stakes are disclosed in the available source material.
Scailium firmographics
Firmographics- Name
- Scailium
- Legal name
- SCAILIUM
- Website
- https://scailium.com
- Company type
- Private
- Founded year
- 2015
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- Scailium is a New York-based private software company selling a GPU-native AI Production Layer to enterprises across financial services, manufacturing, telecom, pharma, and supply chain. The software eliminates GPU starvation, lifting utilization from approximately 40% to over 80%.
- Ownership category
- akta.pro rank
Scailium industry classification
Industry- Product category
- AI Infrastructure Software
- NAICS
- Software Publishers (513210)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Processing & Data Preparation (7374)
- akta.pro primary industry
- AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers) (HDAAAAAG)
Keywords
Where Scailium is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Scailium business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Operations
Revenue model
- AI Production Layer Software: Enterprise software licensing for the GPU-native AI Production Layer. The software is deployed as a non-invasive layer with no data-stack rewrites or re-architecture required, targeting organizations looking to maximize GPU utilization and reduce energy waste.
Go-to-market motion2 records
Distribution channels3 records
Marketing channels5 records
Scailium product offering
Product offeringCore offering
Scailium builds the AI Production Layer, a GPU-native software engine that collapses CPU-bound data pipelines into a direct, zero-copy path from enterprise storage to GPU silicon. It executes ingestion, transformation, vectorization, curation, and runtime injection directly on the GPU, eliminating the 'serialization tax' that causes GPU starvation. The engine is sold to large enterprises to maximize GPU utilization, double effective compute capacity without new hardware, and run AI workloads on full-fidelity datasets at industrial scale.
Product overview
SCAILIUM offers a single unified product: the AI Production Layer. This is a GPU-native software engine that serves as the execution layer between enterprise data infrastructure and AI compute workloads. The product is not sold as a platform with separate modules; rather, it is delivered as a cohesive software backbone that handles the complete data pipeline (ingestion, transformation, vectorization, curation, and injection) natively on GPUs. By collapsing CPU-bound workflows into direct GPU paths, it ensures continuous data supply to AI models, eliminating the 'serialization tax' that causes GPU starvation. The product targets enterprises with GPU infrastructure seeking to maximize utilization and throughput without additional hardware purchases.
Differentiator
Problem solved
Functional benefit
Products and services
- AI Production Layer The world's first GPU-native software engine that collapses CPU-bound data pipelines into a direct GPU path. Provides zero-copy, continuous data delivery from storage to silicon at GPU speed, executing ingestion, transformation, vectorization, curation, and injection natively on GPUs. Sold to enterprise data and AI teams (manufacturing, financial services, retail, life sciences, telecommunications) seeking to maximize utilization of existing GPU clusters without data-stack rewrites or new hardware.
Quantifiable outcome
- GPU utilization increases from ~40% to 80%+
- +7 more outcomes
Companies that use Scailium
Customer profileNamed customers6 records
Segments6 records
Ideal customer profiles1 record
Scailium technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability6 records
Feature5 records
Scailium partnerships and signals
Strategic signalPartnerships
Nine partnerships are on record, tiered flagship and core.
- TD SYNNEXflagshipStrategic partnership with TD SYNNEX (NYSE: SNX) to provide SCAILIUM's GPU-native AI Production Layer to address GPU starvation globally. The collaboration aims to improve GPU utilization, reduce power wastage, and enable large-scale AI operations across multiple sectors. TD SYNNEX makes the AI Production Layer available to its global network of solution providers in 100+ countries.
- NVIDIAcoreSCAILIUM embeds with NVIDIA's AI infrastructure ecosystem, integrating with CUDA-X and NVIDIA AI Infrastructure. The AI Production Layer is designed to work with NVIDIA GPUs to maximize utilization and throughput per watt.
- OraclecoreIntegration partnership with Oracle cloud infrastructure as part of SCAILIUM's ecosystem of data and AI leaders.
- VultrcoreCloud provider partnership enabling deployment of SCAILIUM's AI Production Layer on Vultr's cloud infrastructure.
- Hitachi VantaracoreIntegration partnership with Hitachi Vantara as part of the ecosystem of data and AI leaders supporting AI Factory deployments.
- DataikucoreIntegration partnership with Dataiku for enterprise data preparation and AI workflow capabilities.
- WekacoreIntegration partnership with WekaIO (Weka) for high-performance data platform integration supporting AI Factory architectures.
- VAST DatacoreIntegration partnership with VAST Data (Vast) as part of the accelerated AI data stack ecosystem.
- DenodocoreIntegration partnership with Denodo for data virtualization and logical data integration capabilities.
Scale indicators11 records
Recent moves3 records
Expansion highlights6 records
Scailium competitors and assessment
Company assessmentBroad incumbents
- Databricks: Databricks offers a lakehouse platform with Photon-accelerated query execution and growing GPU optimization. It competes for the same enterprise AI/data workload budget by providing GPU-aware processing inside an integrated platform, contrasting with Scailium's standalone layer approach.
- NVIDIA: NVIDIA provides the underlying CUDA-X stack, RAPIDS, DALI, and Magnum IO that already accelerate GPU data pipelines. As both a Scailium partner and the platform whose capabilities Scailium augments, NVIDIA is the most consequential comparable and potential competitive threat in GPU-native data acceleration.
Emerging players
- Anyscale: Anyscale, built on the open-source Ray framework, provides distributed compute orchestration for AI and data workloads. It addresses an adjacent problem of scaling GPU compute efficiently, competing for AI infrastructure budget with a developer-platform approach versus Scailium's data-pipeline focus.
- Modal Labs: Modal Labs provides serverless GPU compute infrastructure optimized for AI workloads. While more compute-focused than Scailium's data pipeline layer, it competes for the same AI infrastructure procurement budget with an emphasis on developer experience and elastic GPU access.
Others
- Weka (WekaIO): Weka provides a high-performance, GPU-optimized storage platform designed for AI workloads. As both a Scailium integration partner and adjacent infrastructure provider, Weka sits in the same AI Factory stack and competes for the GPU data infrastructure layer of the stack.
- VAST Data: VAST Data delivers a unified data platform combining storage, database, and compute functions optimized for AI. As a Scailium integration partner, VAST sits adjacent in the AI Factory reference architecture and overlaps in targeting AI data infrastructure spend.
- DDN (DataDirect Networks): DDN provides high-performance storage and data intelligence platforms purpose-built for AI and HPC workloads. It competes for AI data infrastructure spend and overlaps with Scailium in addressing GPU starvation caused by slow data movement from storage to compute.
Direct peers
- Kinetica: Kinetica is a GPU-native analytical database designed for real-time analytics on large streaming datasets. It addresses a similar problem space to Scailium, executing data-intensive workloads directly on GPUs to bypass CPU bottlenecks for enterprise customers.
- BlazingSQL: BlazingSQL is a GPU-accelerated SQL engine built on RAPIDS that runs ETL and analytics directly on GPUs. It competes with Scailium in the GPU-native data preparation and query acceleration category for enterprise AI workloads.
- Heavy.AI (formerly OmniSci): Heavy.AI provides a GPU-accelerated analytics platform for massive geospatial and time-series datasets. It competes with Scailium for enterprises seeking GPU-native ingestion and query performance for data-intensive analytical use cases.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights6 records
Customer concentration
Scailium social profiles
Digital presenceScailium financial estimates
Financial estimateRevenue estimate
Valuation estimate
Scailium leadership team
Management profileNumber of profiles
Profiles8 records
Scailium funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Scailium 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 Scailium
What does Scailium do?
Scailium builds the AI Production Layer, a GPU-native software engine that collapses CPU-bound data pipelines into a direct, zero-copy path from enterprise storage to GPU silicon. It executes ingestion, transformation, vectorization, curation, and runtime injection directly on the GPU, eliminating the 'serialization tax' that causes GPU starvation. The engine is sold to large enterprises to maximize GPU utilization, double effective compute capacity without new hardware, and run AI workloads on full-fidelity datasets at industrial scale.
Is Scailium a public or private company?
Scailium is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Scailium founded?
Scailium was founded in 2015. It employs 51 to 100 people.
Where is Scailium based?
Scailium is headquartered in New York, United States, in the North America region.
How does Scailium make money?
One revenue line is on record: AI Production Layer Software.
Who are Scailium's main competitors?
Broad incumbents on record are Databricks and NVIDIA. Emerging players are Anyscale and Modal Labs. Others are Weka (WekaIO), VAST Data and DDN (DataDirect Networks). Direct peers are Kinetica, BlazingSQL and Heavy.AI (formerly OmniSci).
Does Scailium have an API?
No public API is recorded for Scailium.
What industry is Scailium in?
Scailium's product category is AI Infrastructure Software. Its primary akta.pro industry code is HDAAAAAG, AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers). Its NAICS code is 513210 and its SIC code is 7372.