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Immunai

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Immunai uses single-cell genomics and machine learning to map the human immune system through its AMICA-OS platform, accelerating biomarker discovery and immunotherapy development.

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PharmaceuticalsBiotechnologyAcademic ResearchOncology
Use Cases
biomarker discoverypatient stratificationimmunotherapy developmentsingle-cell genomics
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4.5/5
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User Reviews
Updated 25 May 2026
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What is Immunai?

Immunai is an AI biotech company that decodes the human immune system at single-cell resolution, using multi-omic data, machine learning, and functional genomics to generate insights that guide immunotherapy development and oncology drug discovery. Its core platform, AMICA-OS, integrates one of the largest clinical immunology databases in the industry — built from harmonized single-cell data across internal experiments, academic partnerships, and public datasets — with foundation AI models trained specifically on immune biology. In April 2025, Immunai partnered with the Parker Institute for Cancer Immunotherapy to build what the organizations describe as the world's largest patient-centric single-cell dataset, drawing from 3,700 blood samples across 1,070 patients treated with immune checkpoint inhibitors. In January 2026, Bristol Myers Squibb signed a separate multi-year partnership focused on analyzing clinical immune data to clarify mechanisms of action and identify patient subgroups. In May 2026, Immunai expanded its oncology collaboration with AstraZeneca for the third time, with Immunai eligible to receive up to $37.5 million over 2026 and 2027 — signaling continued confidence from one of the world's largest biopharmaceutical companies in the platform's clinical utility. Immunai is not a general bioinformatics tool or a cloud-based sequencing service. Academic labs without access to matched clinical patient samples or organizations looking for a general-purpose single-cell analysis workflow will find the platform's strength — integrating patient sample data with the AMICA immune cell atlas — underutilized without the clinical data context that makes its machine learning models most predictive.

Immunai uses single-cell genomics and machine learning to map the human immune system through its AMICA-OS platform, accelerating biomarker discovery and immunotherapy development.

Immunai is widely used by professionals, developers, marketers, and creators to enhance their daily work and improve efficiency.

Key Features

1
AMICA™ Platform
AMICA-OS integrates the world's largest immune-focused, harmonized single-cell database with advanced foundation AI models of the immune system. The platform combines data from internal experiments, academic partnerships including the Parker Institute for Cancer Immunotherapy, and public datasets at single-cell resolution — providing the immune context that makes AI predictions biologically interpretable.
2
Data Engineering
Manages multi-omic data generation at scale, including CITE-seq covering approximately 1,500 genes per cell and 80-plus surface proteins alongside TCR sequencing, with full quality control and annotation. The company's New York laboratory at 430 East 29th Street processes clinical patient samples directly from pharma partner biobanks as the starting point for every AMICA analysis.
3
Machine Learning
The ImmunoDynamics Engine (IDE) applies AMICA ONE, a transformer-based model identifying correlations of biological interest, and AMICA REASON, an explainability module that provides mechanistic context for each insight. Immunai's CEO describes explainability as a primary investment area because insights that cannot be explained do not drive clinical decisions in practice.
4
Functional Genomics and Experimental Immunology
Combines computational predictions with wet-lab experimental validation, enabling Immunai to test mechanistic hypotheses generated by AMICA against actual immune cell behavior — bridging the gap between computational insight and experimental confirmation that pure bioinformatics platforms cannot close.
5
In Vitro Model Systems
Supports simulation and experimental testing of immune responses in controlled laboratory conditions, allowing rapid hypothesis validation before committing to expensive in vivo experiments. This capability accelerates the decision cycle between computational prediction and experimental evidence.

Pros & Cons

✓ Pros (4)
Innovative Technology The combination of CITE-seq multi-omic profiling at single-cell resolution with AMICA ONE transformer models and the AMICA REASON explainability layer produces immune insights that connect molecular-level observations to clinical outcomes — a depth of biological interpretability that standard bioinformatics pipelines do not achieve.
Comprehensive Analysis Single-cell resolution analysis reveals immune cell subset heterogeneity, activation states, and functional phenotypes invisible to bulk RNA sequencing approaches. This granularity is particularly critical for identifying rare immune cell populations that drive treatment response or toxicity in checkpoint inhibitor and cell therapy programs.
Speed in Discovery Integrating patient sample processing, AMICA database comparison, and IDE machine learning into a single workflow compresses the timeline from sample to actionable insight — enabling Immunai's pharma partners to make target and patient stratification decisions in weeks rather than the months that sequential manual analysis requires.
Strategic Partnerships Active multi-year collaborations with AstraZeneca expanded three times, Bristol Myers Squibb, and the Parker Institute for Cancer Immunotherapy provide both validation of the platform's clinical utility and a continuously growing patient sample database that improves model accuracy across all subsequent analyses.
✕ Cons (3)
Complex Technology Effective use of AMICA-OS requires expertise in single-cell immunology, multi-omic data interpretation, and clinical trial biomarker strategy. Organizations without dedicated computational immunologists and translational scientists on staff cannot fully utilize the platform's analytical depth without extensive support from Immunai's team.
Specialized Application Immunai's platform is optimized specifically for immune system biology in oncology, autoimmunity, and related therapeutic areas. Organizations working outside immunology — in metabolic disease, cardiovascular research, or CNS programs without an immune component — will find limited applicability for their primary research questions.
High Investment in Technology Enterprise partnership agreements, custom sequencing programs, and AMICA-OS integration represent significant financial and organizational commitments. The platform is not available as a self-service tool, which limits access to organizations capable of structuring multi-year collaboration agreements with Immunai's commercial team.

Who Uses Immunai?

Biopharmaceutical Companies
AstraZeneca, Bristol Myers Squibb, and other pharma partners use AMICA-OS to analyze clinical immune data from oncology trial samples, generating biomarker signatures, patient stratification hypotheses, and mechanism-of-action insights that inform go/no-go decisions in active drug programs.
Academic Research Institutions
The Grand Collaboration Initiative for Single-Cell Immune Profiling provides free CITE-seq sequencing for 100-1,000 patient samples to academic labs studying cancer, autoimmunity, and immunotherapy — with data returned with quality control and annotations for independent analysis and publication.
Drug Developers and Immunologists
Research scientists at biotech companies use Immunai's platform to identify and prioritize immune targets for new therapeutic modalities, moving from clinical sample data to validated target hypotheses faster than manual single-cell analysis workflows permit.
Healthcare Innovators
Organizations developing next-generation immunotherapies use AMICA's patient stratification capabilities to identify which patient subpopulations are most likely to respond to specific immune checkpoint combinations or cellular therapy approaches.
Uncommon Use Cases
Regulatory biostatistics teams have used Immunai's immune profiling data as external validation datasets for novel biomarker endpoints in drug submissions. Healthcare data analytics companies have explored the IDE framework for building predictive models of immune-related treatment outcomes from real-world evidence datasets.

Immunai vs MyMap AI vs GPT for Sheets and Docs vs Pabbly Connect

Detailed side-by-side comparison of Immunai with MyMap AI, GPT for Sheets and Docs, Pabbly Connect — pricing, features, pros & cons, and expert verdict.

Compare
I
Immunai
unknown
Visit ↗
MyMap AI
Freemium
Visit ↗
GPT for Sheets and Docs
Freemium
Visit ↗
Pabbly Connect
Freemium
Visit ↗
💰Pricing
unknownFreemiumFreemiumFreemium
Rating
🆓Free Trial
Key Features
  • AMICA™ Platform
  • Data Engineering
  • Machine Learning
  • Functional Genomics and Experimental Immunology
  • AI-Native
  • Multiple Format Upload
  • Web Search
  • Internet Access
  • Bulk Processing Capabilities
  • Diverse Model Selection
  • Versatile Use Cases
  • Ease of Integration
  • 2,000+ Integrations
  • No-Code Automation
  • Advanced Multi-Step Workflows
  • Cost-Effective Pricing
👍Pros
The combination of CITE-seq multi-omic profiling at sin
Single-cell resolution analysis reveals immune cell sub
Integrating patient sample processing, AMICA database c
Converting a 30-page document or a complex topic descri
The chat-based creation model means there is no interfa
MyMap accepts source material from text, documents, URL
Running a language model prompt across an entire Google
The freemium model provides access to base AI processin
The add-on integrates as a standard Google Workspace si
Features a logical, step-by-step wizard that simplifies
The lifetime deal provides massive long-term ROI, espec
Backed by an active Facebook group of 21,000+ members a
👎Cons
Effective use of AMICA-OS requires expertise in single-
Immunai's platform is optimized specifically for immune
Enterprise partnership agreements, custom sequencing pr
The chat-based creation model is intuitive for simple d
MyMap AI requires an active internet connection for all
MyMap's AI-driven layout produces diagrams that are str
While the formula syntax is straightforward, writing ef
GPT-4 Turbo and Claude 3 model calls generate token-bas
GPT for Sheets and Docs operates exclusively within Goo
While no-code, mastering the logic of deep routers and
While it covers 2,000+ apps, some niche enterprise trig
Workflow reliability is tied to the API stability of th
🎯Best For
Biopharmaceutical CompaniesStudents & ResearchersContent CreatorsSmall to Medium-Sized Businesses
🏆Verdict
For biopharmaceutical organizations running immuno-oncology …
MyMap AI is the most accessible entry point for AI-generated…
For e-commerce managers, data analysts, and content teams wh…
Pabbly Connect is the 'utility player' of the automation wor…
🔗Try It
Visit Immunai ↗Visit MyMap AI ↗Visit GPT for Sheets and Docs ↗Visit Pabbly Connect ↗
🏆
Our Pick
Immunai
For biopharmaceutical organizations running immuno-oncology programs with clinical patient samples sitting in biobanks,
Try Immunai Free ↗

Immunai vs MyMap AI vs GPT for Sheets and Docs vs Pabbly Connect — Which is Better in 2026?

Choosing between Immunai, MyMap AI, GPT for Sheets and Docs, Pabbly Connect can be difficult. We compared these tools side-by-side on pricing, features, ease of use, and real user feedback.

Immunai vs MyMap AI

Immunai — Immunai is an AI Tool that applies single-cell genomics and foundation AI models to the specific challenge of immunotherapy development, using its AMICA-OS plat

MyMap AI — MyMap AI is an AI Tool that generates diagrams and mind maps from conversational input, uploaded files, URLs, and live web search results. Its chat-native desig

  • Immunai: Best for Biopharmaceutical Companies, Academic Research Institutions, Drug Developers and Immunologists, Heal
  • MyMap AI: Best for Students & Researchers, Professionals, Content Creators, Educators, Uncommon Use Cases

Immunai vs GPT for Sheets and Docs

Immunai — Immunai is an AI Tool that applies single-cell genomics and foundation AI models to the specific challenge of immunotherapy development, using its AMICA-OS plat

GPT for Sheets and Docs — GPT for Sheets and Docs is an AI Tool that brings multiple AI language models into Google Sheets and Docs through a simple add-on installation, enabling bulk te

  • Immunai: Best for Biopharmaceutical Companies, Academic Research Institutions, Drug Developers and Immunologists, Heal
  • GPT for Sheets and Docs: Best for Content Creators, Data Analysts, E-commerce Managers, Marketers, Uncommon Use Cases

Immunai vs Pabbly Connect

Immunai — Immunai is an AI Tool that applies single-cell genomics and foundation AI models to the specific challenge of immunotherapy development, using its AMICA-OS plat

Pabbly Connect — Pabbly Connect is a high-value automation engine that disrupts the market with its 'pay-once' lifetime model. By offering 2,000+ integrations and a generous pol

  • Immunai: Best for Biopharmaceutical Companies, Academic Research Institutions, Drug Developers and Immunologists, Heal
  • Pabbly Connect: Best for Small to Medium-Sized Businesses, E-commerce Platforms, Marketing Agencies, Freelancers, Uncommon Us

Final Verdict

For biopharmaceutical organizations running immuno-oncology programs with clinical patient samples sitting in biobanks, Immunai converts that underutilized asset into mechanistic immune insights that inform target selection, dose optimization, and patient stratification — capabilities that manual single-cell analysis workflows cannot deliver at the same speed or scale. Access is limited to institutional partnerships rather than self-service deployment.

FAQs

4 questions
What is Immunai's AMICA platform and what does it do?
AMICA-OS is Immunai's AI operating system for the human immune system. It integrates one of the largest clinical immunology databases at single-cell resolution with foundation AI models, generating mechanistic insights for biomarker discovery, patient stratification, dose optimization, and mechanism-of-action analysis in oncology and immunotherapy drug development programs.
Which pharma companies partner with Immunai?
AstraZeneca has expanded its collaboration with Immunai three times, with the latest agreement making Immunai eligible for up to $37.5 million over 2026-2027. Bristol Myers Squibb signed a multi-year partnership in January 2026 focused on clinical immune data analysis. The Parker Institute for Cancer Immunotherapy joined in a 2025 collaboration to build the world's largest patient-centric single-cell cancer immunotherapy dataset.
Can academic researchers access Immunai's platform?
Immunai offers the Grand Collaboration Initiative for Single-Cell Immune Profiling, providing free CITE-seq sequencing for 100-1,000 patient samples to academic labs studying cancer, autoimmunity, and immunotherapy. Data is returned with quality control and annotations. Researchers interested should contact Immunai directly, as eligibility requires study design review and sample volume qualification.
When is Immunai not the right fit for a research program?
Immunai's platform is specialized for immune biology in oncology, autoimmunity, and immunotherapy. Programs outside immunology — CNS, cardiovascular, or metabolic disease without an immune component — will not benefit from AMICA's immune cell atlas or the IDE's immunology-specific analytical framework. Organizations also need access to clinical patient samples as the starting material for analysis.

Expert Verdict

Expert Verdict
For biopharmaceutical organizations running immuno-oncology programs with clinical patient samples sitting in biobanks, Immunai converts that underutilized asset into mechanistic immune insights that inform target selection, dose optimization, and patient stratification — capabilities that manual single-cell analysis workflows cannot deliver at the same speed or scale. Access is limited to institutional partnerships rather than self-service deployment.

Summary

Immunai is an AI Tool that applies single-cell genomics and foundation AI models to the specific challenge of immunotherapy development, using its AMICA-OS platform to turn raw clinical sample data into mechanistic insights about immune response, patient stratification, and drug target identification. Its 170-person team and nearly $270 million raised position it as one of the better-capitalized AI immunology platforms, with active multi-year partnerships at AstraZeneca and Bristol Myers Squibb demonstrating real-world adoption at pharmaceutical scale.

It is suitable for beginners as well as professionals who want to streamline their workflow and save time using advanced AI capabilities.

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