AI Agents for Scientific & Clinical Workflows
Bring autonomous orchestration, automated reasoning, and real-time decision support into your R&D and clinical operations.
Purpose-Built
AI Agents for Biotech
Scientific Workflow Orchestration Agents
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Agents that run, coordinate, and validate entire multi-step workflows: omics → QC → analysis → reporting → archiving.
Ideal for: sequencing labs, computational biology teams, CRO R&D.
Bioinformatics & Data QC Agents
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Metadata completeness, validate raw omics inputs, detect batch effects, harmonize files across heterogeneous sources, and consistently enforce internal SOP rules.
Useful for multi-omics-heavy teams drowning in raw data.
Literature Mining & Scientific Evidence Agents
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LLM-agents that retrieve, validate, cross-reference scientific papers and datasets.
They produce structured evidence maps and answer complex research questions with citations.
Ensuring data integrity across growing R&D operations
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When data volume scales, scientific reliability collapses without structured infrastructure.
We build systems that maintain traceability, quality, and version control
Clinical Workflow Support Agents
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Agents that monitor: protocol adherence, site performance, patient eligibility rules, AE reporting consistency, visit scheduling.
Reduce variability across sites and improve regulatory compliance.
Reasoning Agents for Experimental Design
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Agents propose next-step experiments, optimize assay parameters, and suggest target/variant prioritization.
Based on model outputs, predicted yields, manufacturability, or toxicity.
Enterprise Integration Agents
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Agents integrated into existing R&D systems: LIMS, ELN, clinical EDC, or data warehouses.
Automating alerts, reports, handoffs, submissions, and decision-support logic.
For biotech R&D teams, platform companies, CROs, and clinical study organizations.
Learn moreScientific Tool Integration
BLAST, PyMol, AlphaFold/OpenFold, mass-spec pipelines, LIMS/ELN.
Agent Architecture & Reasoning Models
Custom multi-agent systems using LLMs + tool-augmented reasoning.
Autonomous Workflow Execution
Pipeline triggers, event handling, SOP checkpoints, handoff logic.
Secure Deployment (HIPAA/GDPR/PHI Compliant)
Enterprise-grade private deployments.
Clinical System Integration
EDC, eCOA, ePRO, CTMS, safety systems (MedDRA-coded).
Monitoring, Governance, and Auditability
Agent behavior logs + scientific traceability for regulated environments.
Didn’t find exactly what you were looking for?
Tell us what you’re building – we’ll map out the options, evaluate feasibility, and recommend the optimal technical pathway.
Get a consultationAI-Driven Drug Discovery for Enamine’s 36B Molecule Library
The system combined machine learning–based affinity prediction, large-scale virtual screening, and docking simulations (DiffDock) with active learning loop
Check TestimonialsBiotech
Industry
USA
Location
Drug Discovery, AI compound screening, Chemical space optimization
Services
$200,000 to $999,999
Budget
The team showed initiative and proactiveness in developing alternative solutions to reach our goals. As a result, we obtained very complex and high-quality support.
Under NDA
CEO, Chemistry Solutions CompanyBusiness Impact You Can Expect
Book Strategy Call5–10×
Faster Workflow ExecutionAgents parallelize and automate what humans do sequentially.
60–70%
Reduction in Manual Ops LoadEspecially for QC, data wrangling, protocol checks, reporting.
>95%
Protocol & SOP AdherenceCritical for clinical, regulated, or high-throughput environments.
2–5×
Faster Hypothesis ValidationAgents accelerate experimental planning and evidence synthesis.
Let’s build your AI advantage
Whether you’re prototyping a molecule scoring system or looking to automate your clinical ops – we’ll help you turn your biotech data into competitive edge.
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