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BioTech360

Semantic knowledge graph and AI-powered intelligence for unifying fragmented life sciences R&D data across modalities, enabling explainable insights and accelerated discovery.

Overview

BioTech360 is a next-generation R&D Intelligence platform from LabVantage that transforms fragmented scientific data into a unified, explainable, and interoperable knowledge layer for life sciences. Designed for biotech and life sciences organizations, it connects data across modalities, departments, and systems — turning disconnected records into connected, intelligent knowledge that accelerates discovery and decision-making.

Built on 40+ years of LabVantage expertise in digital labs and informatics, and co-developed with biotech leaders to reflect real-world workflows, BioTech360 is purpose-built to address the most persistent challenges in R&D: data fragmentation, low reproducibility, slow decision cycles, limited scalability, and lack of scientific context.

Core Platform Capabilities

  • Modality Agnostic Integration: Seamlessly integrates any kind of R&D data — sequence data, omics, assay results, documents, and more — whether structured or unstructured, ensuring the platform remains future-proof and adaptable to emerging modalities.
  • Semantic Technologies: A powerful semantic engine leverages ontologies, knowledge graphs, and FAIR principles to harmonize heterogeneous data, enabling context-aware insights, reasoning, and cross-domain discovery.
  • Interoperability Without Compromise: Designed to interoperate across systems, teams, and formats — from legacy systems to cutting-edge AI tools — eliminating data silos and enabling seamless collaboration and data exchange.
  • Explainable AI: Provides transparent, knowledge graph-based evidence for every insight, building trust across regulatory, clinical, and research environments and making outputs defensible as well as powerful.
  • FAIR Data and Knowledge Graphs: Ensures data is Findable, Accessible, Interoperable, and Reusable, enabling scientific continuity across diverse research domains.
  • End-to-End Traceability: Tracks and connects every R&D entity — from biomolecules, samples, and assays to documents, experiments, and workflows — across discovery, development, and manufacturing.
  • Modular by Design: Unlike generic AI platforms, BioTech360 is modular and built to evolve with R&D needs, allowing organizations to add new apps and workflows without being locked into a single data type or modality.

Built-In Scientific Intelligence

  • Preloaded with 50+ public databases including UniProtKB, PubChem, ChEMBL, PDB, AlphaFold, and ClinicalTrials.
  • Access to scientific literature from Medline, PubMed Central, bioRxiv, FDA Drug Labels, and USPTO patents.
  • Preloaded with 60+ life science ontologies for deep semantic enrichment.
  • Integrated bioinformatics and cheminformatics tools for sequence analysis, visualization, and chemical structure search.

Apps and Modules

  • Plasmid App: Register, manage, and search plasmid sequences with automated feature extraction, integrity and uniqueness checks, and lineage tracking. Supports GenBank uploads, visual plasmid maps, and semantic links to antibodies, strains, public databases, and bioproduction workflows. Includes bioinformatics integration, AI summaries, detailed reports, bookmarking, tagging, and export in standard formats.
  • Antibody App: Register, manage, and search antibody sequences with support for chains, domains, and CDRs across all antibody types. Includes uniqueness checks and semantic links to plasmids, targets, public databases, and ontologies. Offers integrated sequence analysis, AI summaries, detailed reports, bookmarking, tagging, and data export.
  • Genome App: Register, manage, and search annotated genomes across eukaryotic, prokaryotic, viral, and metagenomic sources. Explore genes and proteins with integrated links to external databases and literature, search by functional classifications, and navigate genomic context via an interactive genome browser. Includes detailed reports, bookmarking, tagging, and export in standard formats.
  • Additional module categories include Strains and Bioproduction, Chemistry and Cheminformatics, and Scientific Knowledge and AI, with a growing suite of applications across all data modalities.

How BioTech360 Works

  1. Capture and Connect: Integrates data from lab instruments, LIMS, ELNs, public databases, and proprietary systems. Supports structured and unstructured data, connects to existing lab workflows, and ingests external scientific sources and legacy systems.
  2. Contextualize with Semantics: Applies 60+ domain-specific ontologies for semantic enrichment, links biomolecules, samples, experiments, literature, and workflows, and enables semantic search, filtering, and reasoning across scientific concepts.
  3. Activate Your Data: Transforms contextualized data into a foundation for exploration, comparison, and interpretation through AI-powered semantic search, question answering, and summarization. Produces structured outputs for dashboards, visualization, and aggregated reporting, and supports hypothesis generation and experiment planning.

BioTech360 is designed to plug into existing infrastructure — including LIMS and ELNs — without disrupting established processes. Its AI-ready architecture is built to future-proof research, ensure enterprise interoperability, and enable continuous innovation, while keeping organizational data under full control and transforming it into a strategic asset.

Meta

Domain
Research Intelligence & Discovery
Subdomain
Scientific Literature Mining & Knowledge Discovery
Software type(s)
Database / Knowledge Base
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
Academic / ResearchBiotechCRODiagnostics / IVDPharma
Development stage(s)
Research & DiscoveryPreclinical / Pre-Market
Target user(s)
Bench Scientist / Lab TechnicianLab Manager / Core Facility ManagerResearch ScientistBioinformatician / Computational Scientist
Tag(s)
Uses AI