Solving the Life Sciences Data Problem at Pittcon

At Pittcon 2025 in Boston, one theme continues to dominate conversations across the show floor: data.

In a discussion with Adham Chebbani from ZONTAL, the focus was not on introducing new challenges, but on addressing a reality that most organizations already recognize—every laboratory, at some point in its lifecycle, faces a data problem.

What’s changing is how organizations are beginning to approach solving it.

A Platform Built Around the Data Lifecycle

ZONTAL is a data management platform designed specifically for life sciences. At its core, the platform focuses on three critical areas: preserving data, integrating instruments across the laboratory, and enabling collaboration across the organization.

Rather than treating these as separate challenges, the approach brings them together into a single, connected framework. This allows data to move more freely—from the point of generation through to analysis and decision-making—without being constrained by individual systems.

The goal is not just to manage data, but to ensure it remains usable and valuable throughout its entire lifecycle.

Addressing the Industry-Wide Data Challenge

As highlighted during the conversation, the data problem in life sciences is not isolated to one stage or function. It exists across the entire ecosystem—from research and development through to quality and manufacturing.

Organizations are often dealing with fragmented systems, siloed data, and workflows that require manual effort to connect information across tools. This creates inefficiencies that slow down both scientific progress and operational performance.

ZONTAL’s approach focuses on helping organizations break down these silos. By connecting data across systems and standardizing how it is managed, laboratories can begin to operate in a more unified and efficient way.

Improving Workflow Efficiency Through Integration

A key part of solving the data problem lies in improving how workflows operate.

When data is disconnected, workflows become fragmented. Scientists and teams must manually bridge gaps between systems, increasing the risk of error and reducing overall efficiency.

By integrating instruments and systems into a single platform, ZONTAL enables workflows to become more streamlined. Data can flow more naturally between steps, allowing teams to focus less on managing systems and more on interpreting results and driving outcomes.

This shift supports not only efficiency, but also better collaboration across teams and functions.

Deep Expertise in Scientific Data

What differentiates ZONTAL is not just the technology, but the depth of expertise behind it.

As discussed, the company brings together both data scientists and life sciences experts who understand the complexity of laboratory data at a fundamental level. This includes direct involvement in shaping industry standards, such as contributions to the Allotrope Foundation and the development of the Allotrope Simple Model.

This foundation ensures that the platform is built not only to manage data, but to align with how scientific data should be structured, standardized, and reused across the industry.

A Practical Approach to Data Strategy

The conversation at Pittcon 2025 reinforces a practical reality: most organizations already know they have a data problem.

The challenge is not identifying it—it’s solving it in a way that scales across the organization.

By focusing on integration, standardization, and usability, ZONTAL offers an approach that moves beyond individual tools and toward a more cohesive data strategy. One that supports both current operations and future innovation.

Closing Thought

The future of the laboratory will not be defined by how much data is generated, but by how effectively that data is used.

Solving the data problem requires more than storage—it requires connection, context, and continuity. As organizations continue to modernize, platforms that can unify and activate data across the lab will play a critical role in enabling that transformation.