“SciSure has helped us add real structure to our lab operations, especially around documentation and compliance. The platform makes it much easier to see what’s happening across the lab without chasing information across multiple systems. The SciSure team has been responsive whenever we’ve had questions or needed support. As our research programs grow, that visibility and organization are increasingly valuable.” ‍

- Sagar Anantatmula, Research Scientist I, Lab Operations/Automation

About Evozyne

Evozyne is an AI-native biotechnology company that designs novel proteins to address complex diseases in immunology. Its platform combines advanced machine learning with high-throughput experimental biology to create proteins with capabilities beyond natural evolution. By tightly integrating computational design with in-house validation, Evozyne rapidly evaluates and improves protein candidates, accelerating the path from concept to functional molecules with therapeutic potential.

The challenge: Fragmented systems and limited visibility

Before implementing SciSure, Evozyne relied on an electronic lab notebook system that made daily coordination more difficult than it needed to be.

Information was spread across multiple systems, requiring researchers to manually coordinate experiments, records, and protocols to keep everything aligned. The previous system also introduced daily friction through file size restrictions and formatting limitations.

As Evozyne expanded its design and testing capacity, that fragmented setup made it harder to maintain visibility across projects. Researchers were spending additional time tracking down experiment details, organizing documentation, and keeping records consistent.

For a lab built around rapid experimental cycles and large data volumes, improving structure and visibility became critical.

The solution: A more connected and structured lab environment

After adopting SciSure, Evozyne focused on bringing more consistency and organization to day-to-day lab operations.

One of the earliest improvements came in lab scheduling and resource visibility. With clearer scheduling in place, the team could better understand how instruments and workflows were being used across the lab. That visibility helped identify bottlenecks and supported better decisions around equipment coverage and service contracts.

The team also introduced a more structured approach to experiment creation. Researchers now use experiment templates when building new entries. Once a structured protocol is created, it can be reused across experiments, reducing setup time while keeping documentation more consistent across projects.

For a research organization moving quickly across many design-test-learn cycles, that consistency matters. Standardized records make it easier to compare work, maintain continuity, and keep programs moving without unnecessary coordination overhead.

Strengthening Documentation and Compliance

SciSure also strengthened Evozyne’s documentation and compliance processes.

Built-in witnessing and review workflows create a clear audit trail, helping the lab maintain structured records while supporting regulatory readiness. Rather than relying on disconnected systems or manual follow-up, the team now has a more reliable way to document work as it happens and preserve the integrity of those records over time.

That has made it easier for scientists to see what is happening across projects without chasing information across multiple systems. The result is a lab environment with better visibility, better alignment, and a stronger operational foundation for growth.

The impact: Enabling faster, more scalable research

For Evozyne, those operational improvements support something bigger.

The company’s research model depends on the ability to rapidly design, test, and refine protein variants. The faster the team can generate and evaluate data in a structured way, the earlier it can identify promising candidates and reduce downstream development risk.

By improving visibility, standardizing documentation, and strengthening compliance workflows, SciSure helps support that model. It gives Evozyne a more organized and searchable record system as research programs grow, while allowing scientists to spend less time coordinating information and more time advancing the work.

Looking ahead

Evozyne plans to deepen its use of SciSure as the lab continues scaling its research platform.

Two priorities stand out. The first is integrating automation workflows so experimental data moves into the system more smoothly. The second is refining experiment templates and lab structures to standardize best practices across teams.

As Evozyne expands its protein engineering programs, these improvements will help the lab maintain organized, searchable records while supporting faster experimental cycles.