How to Use Collate to Cut Life‑Sciences Paperwork

Problem: Endless Paperwork Slows Life‑Sciences Work

Researchers, clinical trial coordinators, and regulatory staff spend countless hours filling out forms, tracking samples, and reconciling data across multiple systems. The manual effort not only delays projects but also creates room for errors that can jeopardize compliance. According to Forbes, the AI startup Collate raised $95 million on June 3, 2026 to address exactly this bottleneck by automating life‑sciences paperwork.Read the report. The funding signals that a usable product is either already on the market or will be very soon.

Prerequisites: What You Need Before You Start

1. Access to Collate’s platform – Sign up for a trial or contact sales to get a user account. 2. Digital versions of your current forms – PDFs, Word docs, or spreadsheet templates that you normally fill out. 3. Data sources – Databases, LIMS (Laboratory Information Management Systems), or cloud storage where sample and experiment data reside. 4. Team buy‑in – Identify a project lead who will champion the rollout and a small group of end users for the pilot. 5. Basic IT permissions – Ability to create API keys or grant OAuth access so Collate can read and write data on your behalf.

Steps: Deploy Collate in Your Organization

Step 1 – Map Your Documentation Workflow

List every form that appears in a typical study cycle: consent forms, assay logs, safety reports, and regulatory submissions. Note who fills each form, what data is required, and where the completed document ends up. This map will become the blueprint for the automation rules you set in Collate.

Step 2 – Upload Sample Forms to Collate

Within the Collate dashboard, use the “Upload Template” function to add your digital forms. The platform’s AI model parses field labels and learns the expected data types (dates, numeric values, free‑text). If a template is scanned rather than born‑digital, Collate can run OCR to extract the layout.

Step 3 – Connect Your Data Sources

Navigate to the “Integrations” tab. Choose from common connectors (e.g., AWS S3, Google Cloud Storage, MySQL, or popular LIMS vendors). Provide the required credentials and test the connection. Once linked, Collate can pull sample IDs, assay results, and participant information directly into the appropriate form fields.

Step 4 – Define Automation Rules

For each form, create a rule that tells Collate how to fill it. Example: “When a new sample is logged in the LIMS, populate the Sample Log form with Sample ID, collection date, and operator name.” Use the visual rule builder to select a trigger (new record, status change) and map source fields to target fields. Save the rule and run a sandbox test.

Step 5 – Run a Pilot with a Small Team

Select one study or department to try the new flow. Have the pilot users complete a few transactions while Collate auto‑populates the paperwork. Collect feedback on any missing fields or incorrect mappings. Adjust the rules accordingly before expanding.

Step 6 – Scale Across Projects

After the pilot, duplicate the successful rules for other study types. Use Collate’s “Template Library” to store reusable configurations. Train additional staff on the dashboard UI so they can launch new automated forms without developer assistance.

Step 7 – Monitor Accuracy and Compliance

Collate logs every automated entry. Set up alerts for mismatches (e.g., when a required field is empty). Periodically export an audit trail to your compliance system. This record satisfies regulators who often request proof of how data was generated.

Pro Tips: Get More Value from Collate

Leverage version control. Treat each form template as a versioned artifact. When regulations change, you can roll back to a prior version or branch a new one without affecting ongoing studies.

Integrate with electronic signatures. If your organization already uses DocuSign or Adobe Sign, connect those services to Collate so that once a form is filled, it is automatically routed for signing.

Use batch processing for bulk uploads. When you have thousands of legacy records, Collate can ingest CSV files and retroactively generate completed forms, saving you from manual data entry.

Set up role‑based access. Limit who can edit automation rules versus who can only run them. This reduces the risk of accidental changes to critical workflows.

Schedule regular reviews. Technology and regulations evolve. Allocate a quarterly slot to revisit your rule set, confirm that field mappings still match source schemas, and incorporate any new compliance checkpoints.