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DEMO COBASEKRM

Why spend days regenerating insights and data?

Find, retrieve and repurpose your data, models and more in seconds

Find and repurpose your data, models and more in seconds

Everything your science, engineering and analytics teams need to manage and reuse analytical work and prepare for AI-powered innovation. All in one place.

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EXPLORE THE FRAMEWORK

Explore how CoBaseKRM strengthens:

Productivity

Resilience

AI Readiness

is proudly bootstrapped by

CoBaseKRM makes it easy to capture, standardize and harmonize your data and analytics.

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EXPLORE SOLUTIONS

Do these situations resonate with you?

Staff Turnover
When staff leave or shift roles, their analytical knowledge often leaves with them. New team members are left without the context or methods behind past statistical work, slowing response time when problems arise In competitive and regulated industries, this loss of insight creates costly delays. Preserving and reusing prior analysis ensures that critical answers don’t disappear with departing staff.
Siloed Data
In many organizations, analytical work is scattered in silos. Models, data, and reports sit in separate files and tools without version control, making collaboration slow and knowledge hard to access.  Similarly, without integration to databases, data lakes, ELNs, or LIMS, critical insights stay disconnected, limiting productivity and delaying solutions when speed matters most.
Poor data standards
Many organizations lack a way to enforce data standards in science and engineering analytics. Parameters and statistical work are often defined inconsistently, making results difficult to compare or reuse. Without global governance, teams can’t easily find projects by parameter or unit, and collaboration suffers. Standardized definitions ensure consistency, faster insight, and stronger cross-team collaboration.

Staff Turnover
When staff leave or shift roles, their analytical knowledge often leaves with them. New team members are left without the context or methods behind past statistical work, slowing response time when problems arise In competitive and regulated industries, this loss of insight creates costly delays. Preserving and reusing prior analysis ensures that critical answers don’t disappear with departing staff.
Siloed Data
In many organizations, analytical work is scattered in silos. Models, data, and reports sit in separate files and tools without version control, making collaboration slow and knowledge hard to access.  Similarly, without integration to databases, data lakes, ELNs, or LIMS, critical insights stay disconnected, limiting productivity and delaying solutions when speed matters most.
Poor data standards
Many organizations lack a way to enforce data standards in science and engineering analytics. Parameters and statistical work are often defined inconsistently, making results difficult to compare or reuse. Without global governance, teams can’t easily find projects by parameter or unit, and collaboration suffers. Standardized definitions ensure consistency, faster insight, and stronger cross-team collaboration.
Nightmare Audits
Missing version histories or undocumented changes to critical data derail inspections. In regulators' eyes, that’s data-integrity failure, even if the science itself is solid. Designed with FDA 21 CFR Part 11 in mind, CoBaseKRM builds “Compliance as a Consequence™” into everyday work. Every change to data is automatically tracked. Who did it, when, and why. Every model is version-controlled alongside its inputs.
Regulatory Inquiries
Has your regulator ever asked a question you couldn’t answer on the spot? This is where CoBaseKRM changes the game. It lets you quickly answer new questions using your existing data and analyses, saving time, money, and disruption. During an inspection, when a regulator asks to see the supporting information for a statement in your filing, without everything at your fingertips, you’ll be scrambling.

Do these situations resonate with you?

Staff Turnover

Siloed Data

Poor Data Standards

Audits

Inquiries

Staff Turnover

When staff leave or shift roles, their analytical knowledge often leaves with them. New team members are left without the context or methods behind past statistical work, slowing response time when problems arise.

In competitive and regulated industries, this loss of insight creates costly delays. Preserving and reusing prior analysis ensures that critical answers don’t disappear with departing staff.

Staff Turnover
When staff leave or shift roles, their analytical knowledge often leaves with them. New team members are left without the context or methods behind past statistical work, slowing response time when problems arise In competitive and regulated industries, this loss of insight creates costly delays. Preserving and reusing prior analysis ensures that critical answers don’t disappear with departing staff.
Siloed Data
In many organizations, analytical work is scattered in silos. Models, data, and reports sit in separate files and tools without version control, making collaboration slow and knowledge hard to access.  Similarly, without integration to databases, data lakes, ELNs, or LIMS, critical insights stay disconnected, limiting productivity and delaying solutions when speed matters most.
Poor data standards
Many organizations lack a way to enforce data standards in science and engineering analytics. Parameters and statistical work are often defined inconsistently, making results difficult to compare or reuse. Without global governance, teams can’t easily find projects by parameter or unit, and collaboration suffers. Standardized definitions ensure consistency, faster insight, and stronger cross-team collaboration.
Nightmare Audits
Missing version histories or undocumented changes to critical data derail inspections. In regulators' eyes, that’s data-integrity failure, even if the science itself is solid. Designed with FDA 21 CFR Part 11 in mind, CoBaseKRM builds “Compliance as a Consequence™” into everyday work. Every change to data is automatically tracked. Who did it, when, and why. Every model is version-controlled alongside its inputs.
Regulatory Inquiries
Has your regulator ever asked a question you couldn’t answer on the spot? This is where CoBaseKRM changes the game. It lets you quickly answer new questions using your existing data and analyses, saving time, money, and disruption. During an inspection, when a regulator asks to see the supporting information for a statement in your filing, without everything at your fingertips, you’ll be scrambling.
Regulatory Submission Questions
Have you ever made a key claim in a regulatory submission only to have the agency come back asking for the data and analysis behind it? This is one of many scenarios where CoBaseKRM helps by keeping the original analyses and reports organized so they can be retrieved and regenerated later. Sometimes regulators accept your statement but then ask you to evaluate it differently, perhaps using a different modeling approach. With CoBaseKRM, you can locate the underlying data and context instantly, so completing the requested work becomes much faster and easier.

Higher productivity

Stronger organizational resilience

AI Readiness for science, engineering and analytics

Knowledge management ensures that information is organized, findable, and usable across projects, so you can focus on solving complex problems with past knowledge, and not reinvent the wheel.

BOOK A DEMO TO EXPLORE SOLUTIONS

Higher productivity

Stronger organizational resilience

AI Readiness for science, engineering and analytics

Knowledge management ensures that information is organized, findable, and usable across projects, so you can focus on solving complex problems with past knowledge, and not reinvent the wheel.

BOOK A DEMO TO EXPLORE SOLUTIONS

Higher productivity

Stronger organizational resilience

AI Readiness for science, engineering and analytics

Knowledge management ensures that information is organized, findable, and usable across projects, so you can focus on solving complex problems with past knowledge, and not reinvent the wheel.

BOOK A DEMO TO EXPLORE SOLUTIONS

Meet the CoBaseKRM Framework

Knowledge Relationship Management (KRM) provides everything you need to manage analytics and capture knowledge in science, engineering, and business intelligence initiatives.

Help your teams collaborate with centralized knowledge

Unify scattered datasets into a single, structured repository, making advanced analyses and statistics easier and more accessible.

By attaching narratives, decisions, and commentary, to models, observations, and files, your teams get instant access to the reasoning behind past decisions and enhances your ability to audit.

Unify scattered datasets into a single, structured repository, making advanced analyses and statistics easier and more accessible.

By attaching narratives, decisions, and commentary, to models, observations, and files, your teams get instant access to the reasoning behind past decisions and enhances your ability to audit.

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Find, retrieve and reuse interconnected data, models and more

Everything in CoBaseKRM is searchable, from raw data to the decisions and conversations behind it. Quickly locate and reuse all past work, from specific data points, to parameters, projects, and predictive models, enhancing efficiency and speeding up work.

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Ensure access to data and analytical tools with simple integrations

CoBaseKRM offers simple integrations with common data repositories and analytical platforms, so teams can store and access their knowledge without the hassle of complex setup. That means less time lost to searching, importing data, and re-creating analyses, and more time spent on advancing research, improving products, and making informed decisions.

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Enhanced Strength and Capabilities You Can Derive from Using CoBasKRM

Higher productivity

Stronger organizational resilience

AI Readiness for science, engineering and analytics

CoBaseKRM eliminates time-consuming tasks that slow down science, engineering, and analytics work. By streamlining data capture and simplifying connections to databases and analytical tools, teams spend less time on repetitive or manual work and more time driving insights.

Knowledge management ensures that information is organized, findable, and usable across projects, so you can focus on solving complex problems with past knowledge, and not reinvent the wheel.

BOOK A DEMO TO EXPLORE SOLUTIONS

Not just software.

Our team is ready to help, no matter if you’re having trouble unifying data, adopting analytics, or finding the right deployment option. We are ready to help meet your individual needs!

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