Zifo

Zifo

Specialist scientific informatics services for science

Overview

Zifo provides tailored scientific informatics services across Laboratory/R&D, Manufacturing, and Trial operations to help science-driven organizations discover, develop, manufacture, and test products. It offers Digital Transformation Coaching, Business Analysis, Program & Project Management, Managed Services, Validation, and Custom Development & Integrations, backed by expertise in Chem & Bioinformatics, Data Science, Cloud, HPC, MultiOmics, Data Modeling, Semantics, and AI/ML. It differentiates itself by combining deep scientific domain knowledge with end-to-end informatics capabilities, from transformation coaching to validation and integrations, for research, development, manufacturing, and trials. Its goal is to empower customers to advance science and technology while improving global health and wellbeing.

About Zifo

Simplify's Rating
Why Zifo is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Consulting

Enterprise Software

Healthcare

Company Size

1,001-5,000

Company Stage

Growth Equity (Non-Venture Capital)

Total Funding

$250M

Headquarters

New York

Founded

2008

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Simplify's Take

What believers are saying

  • Zifo launched Experiment Insight on June 2, 2026, turning buried experiments into searchable knowledge.
  • May 2026 orchestration automates ELN, LIMS, CDS, and instruments with audit trails.
  • Maze Therapeutics partnered with Zifo in February 2026 to scale biobank workflows.

What critics are saying

  • Benchling, TetraScience, and Dotmatics commoditize Zifo's integration services by 2027.
  • AI accelerators face validation, auditability, and privacy objections in GxP deployments.
  • If customers build internally, Zifo's service-heavy model loses renewals and stalls headcount growth.

What makes Zifo unique

  • On May 26, 2026, Zifo launched the IVP Assay Repository with Pistoia Alliance.
  • Zifo combines scientific informatics with regulated AI workflows across R&D, manufacturing, and compliance.
  • Benchling lists Zifo as a partner, validating ecosystem trust inside enterprise lab stacks.

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Funding

Total Funding

$250M

Above

Industry Average

Funded Over

1 Rounds

Growth Equity Non VC funding comparison data is currently unavailable. We're working to provide this information soon!
Growth Equity Non VC Funding Comparison
Coming Soon

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Health Savings Account/Flexible Spending Account

Paid Vacation

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

-3%

2 year growth

-3%
PR Newswire
Jun 5th, 2026
Zifo launches AI-powered EHS compliance accelerator for pharma and biotech

Zifo has launched an AI-powered Environmental, Health and Safety Compliance services accelerator designed for pharmaceutical, biotech and medical device companies. The tool systematically evaluates policies against OSHA, EPA, FDA and industry standards to identify compliance gaps. The accelerator processes complex EHS policies in minutes rather than days, reducing manual review time by up to 90%. It automatically consolidates regulatory guidelines from government sources and uses semantic understanding to identify gaps even when regulatory language differs from internal terminology. Each identified gap includes specific text excerpts from both internal policies and regulatory sources. The tool features automated risk scoring, confidence levels and can be deployed on-premise or via private cloud. Zifo, which serves over 190 science-focused organisations globally, designed the accelerator to integrate across R&D, manufacturing, quality assurance and operations segments.

AiThority
Jun 2nd, 2026
Zifo unlocks hidden Experiment patterns with new ai-enabled services accelerator.

Zifo unlocks hidden Experiment patterns with new ai-enabled services accelerator. Zifo, a leading global enabler of AI and data-driven enterprise informatics for science-driven organizations, announced its new AI-powered Experiment Insight services accelerator, which understands complex scientific language to empower scientists to turn buried knowledge into actionable intelligence, extract structured data, and uncover critical patterns across vast datasets. Scientists routinely conduct thousands of experiments, but poor documentation and insights buried within unstructured text often make it difficult to extract meaningful learnings or answer key scientific questions. This leads to compounding challenges: institutional knowledge is lost when scientists depart, time-consuming manual reviews are required to find past records, and researchers unknowingly repeat failed experiments because historical data isn't easily discoverable. Zifo's latest services accelerator directly addresses these hurdles by turning buried scientific knowledge into clear, actionable intelligence. A core differentiator is its quality-first approach. While most approaches assume incoming data quality is sufficient, this AI-powered services accelerator assesses conclusion quality first, helping organizations actively improve their documentation standards rather than simply attempting to extract data from poorly written records. Jun 2, 2026 Prev Next 1 of 43,034 Key capabilities and benefits include: * Rapid Pattern Discovery: The AI analyzes thousands of experiments in minutes to surface relevant insights automatically. It can discover hidden statistical patterns across all experiments that humans would rarely, if ever, spot manually. * Preserved Institutional Knowledge: The AI continually extracts and structures knowledge from past experiments, preserving insights permanently in a searchable format so expertise is never lost. * Data-Driven Decisions: Decisions can be backed by statistical evidence from an organization's entire experimental history rather than recent memory. * Multi-Layer Validation: To ensure maximum accuracy, the AI checks its own work using multiple validation layers, including schema compliance, hallucination detection, and completeness checks, allowing it to function without constant human oversight. * Scientific Ontology Integration: The services accelerator understands scientific concepts using established industry ontologies (such as ChEBI) rather than basic keywords. For example, the AI natively understands that "buffer" and "PBS" are related concepts. * Explainable Results: Every data extraction displays confidence levels and validation results, allowing scientists to always verify the AI's reasoning and safely trust the output. The solution is highly adaptable and fits seamlessly into multiple segments of the scientific value chain, including Drug Discovery & Development, Analytical & Quality Control, Process Development & Manufacturing, and Regulatory & Compliance. Bridging Science and Technology Across the Value Chain This AI-powered Experiment Insight services accelerator is just one piece of a much larger puzzle. Zifo leverages its extensive expertise as a leading global enabler of AI and data-driven enterprise informatics for science-driven organizations to solve the persistent scientific, technological, and data challenges that frequently drag down progress across the value chain. By combining domain-aware intelligence with advanced capabilities like scientific ontology integration, multi-layer validation, and automated pattern discovery, Zifo ensures actionable insights are seamlessly extracted and maintained across Drug Discovery & Development, Analytical & Quality Control, Process Development & Manufacturing, and Regulatory & Compliance. Zifo's approach is more than just a technical exercise of extracting unstructured text; it is a strategic enabler of data-driven decision-making. It is about creating an intelligent ecosystem where decades of historical experiments are permanently preserved in a searchable format, effortlessly adapting to how scientists actually write without forcing them into rigid templates. This ensures that context-rich, statistically backed evidence flows securely across the scientific value chain, preventing repeated errors and uncovering hidden trends that would be nearly impossible to spot manually. [To share your insights with Aithority, please write to [email protected]]

PR Newswire
Jun 2nd, 2026
Zifo launches AI tool to extract insights from thousands of buried scientific experiments

Zifo, a global provider of AI and data-driven enterprise informatics, has launched its AI-powered Experiment Insight services accelerator. The tool analyses scientific experiments to extract structured data and uncover patterns across large datasets. The accelerator addresses challenges scientists face with poor documentation and buried insights by rapidly analysing thousands of experiments to surface relevant findings. It uses scientific ontologies to understand complex terminology and employs multi-layer validation, including hallucination detection and schema compliance checks. The solution preserves institutional knowledge by extracting and structuring insights from past experiments into a searchable format. It provides explainable results with confidence levels, allowing scientists to verify the AI's reasoning. The technology serves multiple sectors including drug discovery, analytical testing, process development and regulatory compliance. Zifo serves over 190 science-focused organisations globally.

PR Newswire
May 28th, 2026
Zifo launches AI-enabled data orchestration to unify fragmented lab systems

Zifo, a global enabler of AI and data-driven enterprise informatics, has developed an AI-enabled data orchestration accelerator that unifies fragmented laboratory systems. The technology connects Electronic Laboratory Notebooks, Laboratory Information Management Systems, Chromatography Data Systems and physical instruments through an event-driven orchestration layer. The accelerator features hands-free voice interactions powered by AI models including AWS Nova Sonic, allowing researchers to execute protocols without manual software interaction. Built using Python, Next.js, FastAPI and other technologies, it eliminates data entry errors and manual workflows whilst maintaining audit trails. Serving over 190 science-focused organisations across pharma, biotech, chemicals and other sectors, Zifo's solution is designed for analytical sciences, quality control, R&D and manufacturing domains. Future enhancements will include augmented reality instrument identification and deeper automation capabilities.

Scientist Live
May 26th, 2026
New global In Vitro Pharmacology Assay Repository for the life sciences industry.

New global In Vitro Pharmacology Assay Repository for the life sciences industry. 26 May 2026 16:00 Zifo, a global enabler of AI and data-driven enterprise informatics for science-driven organisations, has developed and launched the In Vitro Pharmacology (IVP) Assay Repository, marking a significant step toward standardising the capture, sharing, and reuse of biological assays across the life sciences industry. Zifo launched the IVP Assay Repository in partnership with Pistoia Alliance and Pharma Majors. The company's Scientific Informatics and Data experts worked collaboratively with regulatory authorities and Pistoia Alliance members, including steering committee representatives from AbbVie, Novartis, Merck, and Roche. The life sciences industry has struggled with fragmented in vitro pharmacology data, inconsistent assay documentation, and limited interoperability across organisations and platforms, hindering efficient data exchange, cross-study comparison, and the reuse of assay data. The new IVP Assay Repository addresses this by providing a framework for researchers to register and manage in vitro pharmacology assays consistently and transparently. By applying controlled vocabularies and standardised data fields, the repository, which builds on public ontologies such as the Bioassay Ontology (BAO), ensures higher-quality data, reduces duplication, and serves as a shared foundation that benefits the entire biopharma ecosystem. Aishwarya Balajee, head of Scientific Data and Digital at Zifo, said, "We are excited to see the release of version 1.0 of the IVP Assay Repository. This is an important milestone toward a more open and interoperable future for biological data. Over the past two years, Zifo has been proud to collaborate with the Pistoia Alliance and its member community to help design and build this standardised biological assay registration platform. By enabling interoperable assay registration within a shared, open framework, the IVP Assay Repository helps the industry consistently describe, discover, and reuse assays across organisations. We look forward to seeing the broader scientific community leverage this platform to strengthen collaboration, improve reproducibility, and accelerate innovation." Christian Baber, chief portfolio officer at Pistoia Alliance, said, "By enabling a standardised way to register protocols, the Assay Repository facilitates the systematic transmission of in vitro pharmacology data, reducing the time spent on manual data cleanup and ensuring that critical safety information is both transparent and easily accessible. It is an open, centralised bioassay repository linked to standardised result templates that addresses the critical need for industry-wide consistency during data exchanges such as IND submissions. The IVP Assay Repository creates a shared foundation that benefits the entire biopharma ecosystem." Key impacts of the repository include: * Enhanced data exchange and interoperability: Provides a FAIR-aligned, centralised repository for in vitro pharmacology assays, improving assay discoverability, consistency in assay documentation, and interoperability across platforms and organisations. * Industry Collaboration: Facilitates cross-sector collaboration between biopharma companies, CROs, technology providers, and regulatory stakeholders by promoting a common framework for assay registration and information sharing. * Informatics Excellence: Utilises Zifo's deep expertise in scientific informatics to provide a guided interface where users can easily search, filter, and contribute new entries covering assay design, targets, and molecular details.

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