BatchX

What BatchX does

BatchX, Inc. is a privately held, Delaware-incorporated California company operating a no-code cloud platform purpose-built for bioinformatics batch workloads. The platform abstracts away cluster administration so researchers can import Docker images, run curated pipelines (RNA-Seq expression and structural alteration, single-cell RNA-Seq, 16S and shotgun metagenomics, UMI-based variant calling) on shared infrastructure, and reproduce cached results without rebuilding environments. Underlying technology is a Docker-based execution layer with configurable vCPUs (up to 128), RAM up to 3,904 GB, and GPU families (NVIDIA V100, K80, T4, M60) orchestrated via a proprietary manifest/contract convention (io.batchx.manifest, /batchx/input/input.json, /batchx/output/output.json) that enforces input/output schemas and sandboxed networking. A CLI (bx), Python SDK, marketplace, and integrations with Docker Hub, AWS ECR, Amazon S3, Nextflow, and Snakemake are exposed for power users.

Customers are research institutions, universities, hospitals, and small biotechs running genomics, transcriptomics, and metagenomics analyses; named users include VHIO, IDIGBI, IMOMA, Universitat Pompeu Fabra, Microviable Therapeutics, and a broader logo set spanning INRAE, Geomar, UCSD, and Harvard among others. The pricing model is usage-based pay-as-you-go with no publicly disclosed rate card and no enterprise list pricing — customers consume credits per job (vCPU, memory, GPU, storage) and reuse cached equivalent jobs for free. Distribution is product-led and self-serve: sign-up runs directly through platform.batchx.io without sales intervention, supplemented by developer documentation (docs.batchx.io), a content blog, and marketplace-based discovery. BatchX reports user outcomes of 80% personnel-cost savings and 10x faster turnaround versus traditional bioinformatics, and the company has obtained ISO 27001 (NQA), with ISO 27017, ISO 27018, and ISO 27701 compliance alignment, positioning it for institutional and clinical procurement.

The company is incorporated as BatchX, Inc., appears to have been founded around 2019, has 1-10 employees, and remains privately held by its three founders — Prathik Gadde (CEO), David Castillo Rodríguez (CPO), and Ignacio Del Valle Alles (CTO). No funding rounds, M&A, or investor information are disclosed.

Name

BatchX

Legal name

BatchX, Inc.

Website

https://batchx.io

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

1–10 employees

Short description

BatchX is a private, no-code cloud platform that lets academic and biotech researchers run Docker-based bioinformatics pipelines (RNA-Seq, single-cell, metagenomics, variant calling) on scalable GPU/CPU compute without coding, charging usage-based fees for compute consumed.

Ownership category

akta.pro rank

Product category

Bioinformatics Cloud Platform

NAICS

Computer Systems Design and Related Services (54151), Research and Development in Biotechnology (except Nanobiotechnology) (541714)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Bioinformatics & Multi-omics Analysis Software (HLAGAJAD)

akta.pro secondary industry

Batch ETL/ELT Platforms (HDAEACAA)

Keywords

• Cloud bioinformatics platform
• No-code genomics analysis
• RNA-Seq pipelines
• Metagenomics data processing
• Docker batch compute

Headquarters

HQ city

San Jose

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. Usage-Based Cloud Computing: Customers pay only for what they use on the platform. The platform uses computing credits for job execution. With scalable infrastructure and cost-effective cloud processing, users reportedly save 80% on personnel costs compared to traditional bioinformatics analysis.

Pricing tiers

Go-to-market motion1 record

Distribution channels3 records

Marketing channels4 records

Core offering

BatchX provides a no-code, cloud-based bioinformatics platform that lets researchers execute production-grade batch genomic analyses (RNA-Seq, single-cell RNA-Seq, metagenomics, variant calling) at scale using pre-built pipelines and Docker-based workloads. Customers consume scalable cloud compute (vCPUs, memory, GPUs) on a pay-per-use basis, with execution caching and unlimited storage, while BatchX delivers dedicated bioinformatics support and a marketplace of curated tools.

Product overview

BatchX is a no-code bioinformatics platform that provides scalable cloud infrastructure for running batch computational jobs without coding expertise. The platform consists of the BatchX Platform (core cloud service), a collection of specialized bioinformatics pipelines (RNA-Seq expression/structural analysis, single-cell RNA-Seq, metagenomics 16S and shotgun analysis, UMI-based variant calling), a CLI tool for developer access, a marketplace for discovering tools, and comprehensive documentation. BatchX enables users to import Docker images, manage computational resources (vCPUs, GPUs, memory), and execute reproducible batch workloads with built-in job caching.

Differentiator

Problem solved

Functional benefit

Products and services

• BatchX Platform Cloud-based no-code bioinformatics platform that enables researchers to run production-scale batch jobs (RNA-Seq, single-cell, metagenomics, variant calling) with a few clicks. Provides scalable compute (up to 128 vCPUs, 3904 GB RAM, GPU support), unlimited storage, a Docker image repository, and collaborative workspaces for research teams.
• RNA-Seq Expression Analysis Pipeline
• RNA-Seq Structural Alteration Analysis Pipeline
• Single-Cell RNA-Seq Expression Analysis Pipeline
• Metagenomics 16S Analysis Pipeline
• Shotgun Metagenomics Genome-Resolved Analysis Pipeline
• Shotgun Metagenomics Marker-Based Profiling Pipeline
• UMI-based Variant Calling Pipeline
• BatchX CLI (bx)
• BatchX Marketplace

Quantifiable outcome

• Users save 80% on personnel costs compared to traditional bioinformatics approaches
• +1 more outcomes

Named customers7 records

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration6 records

AI capability1 record

Feature7 records

Scale indicators3 records

Recent moves5 records

Expansion highlights5 records

Direct peers

• DNAnexus: DNAnexus provides a cloud-based bioinformatics and biomedical data analysis platform with pre-built pipelines, strong security/compliance, and an enterprise customer base spanning pharma, clinical, and academic research, making it the closest direct competitor to BatchX.
• Lifebit: Lifebit offers a federated, cloud-based genomics and biomedical data platform targeting research institutions and pharma with pre-built pipelines and reproducible workflows, overlapping BatchX's multi-omics analytics and compliance positioning.
• Velsera (formerly Seven Bridges): Velsera operates a cloud bioinformatics platform with curated pipelines, workflow orchestration, and clinical/research analytics, directly comparable to BatchX's catalog of pre-built RNA-Seq, single-cell, metagenomics, and variant-calling pipelines.
• Terra (Broad Institute / Verily): Terra is a cloud-based genomics and biomedical research platform built on Microsoft Azure, providing scalable pipelines (Nextflow, WDL), reproducible workspaces, and large-scale consortium support, directly comparable to BatchX's scalable, no-code bioinformatics workflows.

Others

• Galaxy (open-source): Galaxy is a widely adopted open-source, web-based platform for accessible bioinformatics analyses used heavily in academic settings, representing a free, no-code alternative that constrains BatchX's pricing and adoption among academic labs.

Broad incumbents

• Illumina Connected Analytics: Illumina Connected Analytics is a broader bioinformatics and multi-omics platform from the dominant sequencing-instrument vendor, offering cloud-based pipelines, secondary analysis, and data management for research and clinical customers, overlapping BatchX's genomic analytics use cases.
• AWS HealthOmics: AWS HealthOmics is a managed genomics and life-sciences compute service from Amazon Web Services, providing scalable, pay-as-you-go infrastructure for running bioinformatics pipelines at production scale, directly overlapping BatchX's cloud batch-compute value proposition.
• Google Cloud Life Sciences (now part of Cloud Healthcare): Google Cloud Life Sciences offers scalable, managed infrastructure for processing genomics and biomedical data, including Nextflow integration, and competes with BatchX for the same high-throughput, cloud-based bioinformatics compute workloads.

Emerging players

• Form Bio: Form Bio is a workflow and bioinformatics platform for life sciences R&D offering a managed environment for running pipelines on cloud infrastructure, targeting research and translational teams in a similar segment to BatchX.
• Elucidata: Elucidata provides a cloud-based multi-omics data analytics platform with curated pipelines, Polly, for biomedical researchers and pharma, sharing BatchX's focus on multi-omics (RNA-Seq, metagenomics, variant analysis) and reducing bioinformatics friction for non-computational biologists.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

• Xx.com/batchxinc

Compliance4 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds

Investors

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 BatchX