DistillerSR

DistillerSR AI-enabled literature review software automates screening, extraction, reporting, and evidence reuse for traceable review workflows.

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Overview

DistillerSR is AI-enabled literature review software for managing literature-based research and evidence synthesis. It is positioned as part of a broader evidence management platform that helps organizations centralize, standardize, reuse, and share literature evidence across teams.

The platform supports configurable workflows for screening, extraction, reporting, and evidence reuse. According to the site, it is used to reduce manual work, improve traceability, and speed up research while keeping an audit trail that supports regulated and organization-wide review processes.

The site also describes add-on modules and related products such as CuratorCR for centralized evidence management. Together, these offerings are aimed at teams that need to manage large bodies of literature, avoid duplicate work, and produce review outputs that can be shared internally or across external collaborators.

Managed services are also available for organizations that want help accelerating implementation and time to value. The overall focus is on making literature evidence easier to collect, validate, analyze, and reuse in a controlled workflow.

Features

Configurable AI Workflow

Configurable AI-enabled workflows support literature-based evidence synthesis and can be standardized across reviews. The platform tracks every decision for audit readiness and evidence traceability.

Smart Evidence Extraction (SEE)

Purpose-built Gen AI extracts evidence from tables and text at scale, with options for fully automated extraction or human-in-the-loop review when compliance requires it.

AI-Assisted Screening

AI Re-Rank, AI Classifiers, and agentic AI help prioritize relevant references, answer closed-ended questions, and reduce repetitive screening work.

Extraction and Reporting

The platform supports reusable forms, templates, validations, standard reporting, and customizable reports so teams can standardize extraction and produce publication-ready outputs.

Data Integration and Enrichment

DistillerSR can connect with corporate libraries, publishers, BI tools, safety databases, semantic platforms, and RWE sources through API and third-party integrations.

Evidence Reuse and Central Repository

CuratorCR and related evidence reuse capabilities help identify previously extracted data so teams can avoid duplicate work and centralize literature evidence.

Use Cases

Systematic and literature reviews
Teams running systematic or literature reviews can use DistillerSR to screen references, extract data, and standardize outputs across repeated review projects.
Regulatory and evidence submissions
Medical device and pharmaceutical organizations can use the platform for regulated evidence workflows where traceability, audit logs, and standardized reporting matter.
Cross-team evidence reuse
Organizations with large internal evidence libraries can centralize previously extracted information and reuse it to reduce duplicate work across departments.
Reporting and analysis
Research teams that need reportable outputs can create customizable reports, publication-ready diagrams, and exportable datasets for analysis and stakeholder sharing.
Managed implementation support
Teams that want implementation support can use managed services to accelerate time to value and reduce setup burden.

Pros and Cons

Pros

Supports configurable workflows that can be standardized and replicated across reviews.
Includes AI-assisted screening and extraction features designed to reduce repetitive manual work.
Provides audit trail and version control for traceable evidence.
Offers evidence reuse tools that can help reduce duplicate extraction and rework.
Connects with libraries, BI tools, safety databases, and other third-party systems for broader evidence workflows.

Cons

Pricing is not published in the provided site content, so buyers will need to contact the company for commercial details.
Some capabilities are described at a platform level rather than with product-specific implementation detail, so teams may need a demo to understand fit for their workflow.

FAQ

What does DistillerSR do?

DistillerSR is literature review software that helps automate and manage literature-based research and evidence synthesis. It supports configurable workflows for evaluating, appraising, extracting, standardizing, and storing evidence that can be shared across an organization.

How does it relate to evidence management?

The source describes DistillerSR as the core literature review software within an evidence management platform. The platform is designed to centralize evidence, support governance and workflow standardization, and make literature evidence easier to reuse and share.

What kind of outputs can teams create?

The source shows output such as configurable reports and publication-ready artifacts like PRISMA flow diagrams. It also supports activity reports and data export for analysis and sharing.

Is DistillerSR only for one team or one review process?

The product pages describe a configurable workflow with AI-enabled screening, extraction, reporting, and evidence reuse. They also describe managed services for teams that want help accelerating implementation and time to value.

Does the site list pricing?

The pricing page does not publish prices in the provided content. It does show DistillerSR, CuratorCR, DistillerSR Modules, and DistillerSR AI Solutions as platform offerings, so pricing appears to require a sales or contact flow rather than self-serve pricing details.

Quick Facts

Category: AI-enabled literature review software
Platform: Web-based evidence management platform
Primary users: Research, medical device, pharmaceutical, academic, and public sector teams
Notable workflow: Screening, extraction, reporting, evidence reuse, and managed services
Source domain: evidencepartners.com
Pricing: Not published on the provided pricing page