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R&D AI Agent

Reduce Research Time With Evidence-Linked AI Agents Across Literature, Experiments & Omics

R&D Research Agent uses Claude Platform on AWS and connected scientific sources to synthesize literature, analyze research datasets and assemble citation-backed outputs for scientist review.

Literature & Evidence Synthesis

Search biomedical literature across PubMed and peer-reviewed sources, compare findings and build citation-backed evidence summaries around a research question.

Experiment & Research Context

Retrieve experiment context, scientific templates and supporting research artifacts, with proprietary Benchling records added only after the required IP-exposure review.

Bioinformatics & Omics Analysis

Use 10x Genomics, Synapse and governed Databricks or Snowflake data to analyze public reference datasets and support computational research questions.

Scientific Knowledge Retrieval

Find relevant protocols, SOPs and prior research material across approved repositories, with enterprise content sources activated only after access and IP controls are cleared.

Evidence-Linked Reporting

Turn retrieved evidence and analytical results into structured research drafts with source links, retrieval dates and supporting provenance attached.

Cross-Source Orchestration

Break complex research questions into literature, data and experiment tasks, route them to specialist Agents and combine the results into one reviewable response.

HOW IT WORKS

Move From A Research Question To A Review-Ready, Evidence-Linked Output

Connect the relevant scientific sources, route each part of the question to the right specialist Agent, validate the evidence and assemble the result for scientific review.

Define the scientific question, required evidence, permitted data sources and expected research output.

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Search literature, public research datasets, scientific tools and approved connected sources through managed MCP connectors.

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Coordinate literature synthesis, experiment context, bioinformatics analysis and knowledge retrieval around the same research task.

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Check citations and source provenance, flag unsupported claims and route formal reports to the Lab Head or R&D Director before release.

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Set the Research Focus

Define the scientific question, required evidence, permitted data sources and expected research output.

Retrieve The Evidence

Search literature, public research datasets, scientific tools and approved connected sources through managed MCP connectors.

Analyze Across Agents

Coordinate literature synthesis, experiment context, bioinformatics analysis and knowledge retrieval around the same research task.

Validate, Assemble & Review

Check citations and source provenance, flag unsupported claims and route formal reports to the Lab Head or R&D Director before release.
BUILT FOR TRUSTED SCIENTIFIC WORKFLOWS

Accelerate Scientific Work Without Losing Control Of Evidence Or IP

The Agent is designed to support research and analysis while keeping source provenance, proprietary data access and final scientific judgment under explicit control.

Evidence With Every Material Claim

Attach the source, URI and retrieval time behind research findings so scientists can inspect the evidence rather than accept an unsupported summary.

Proprietary R&D Data Stays Gated

Start with public and open-access sources. Benchling notebooks and internal SharePoint, OneDrive and Google Drive content remain disabled until an explicit IP-exposure review approves access.

Human Approval For Formal Reports

Route formal research reports through a Lab Head or R&D Director review step before they are released or used downstream.

Advisory, With No System Write-Back

The Agent can retrieve, analyze, synthesize and draft. It does not autonomously change ELNs, research systems or connected data sources.

Release-tested for citation validity, unsupported claims, data access, classification & human review.
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