Scispot AI (Scibot)

Scispot AI, powered by its AI agent Scibot, is the first AI lab assistant purpose-built for biotech R&D teams. Integrated directly into Scispot's Lab Operating System — including its alt-ELN, alt-LIMS, and alt-SDMS platforms — Scibot transforms how scientists interact with their lab data, design and execute experiments, and discover insights. It is designed for modern life science teams seeking to make their workflows smarter, their data more accessible, and their automation more effortless.

Scibot complements traditional click-based interfaces with a conversational, chat-based experience. Scientists can use natural language prompts to manage data, run analyses, and control workflows — without requiring coding skills or dedicated engineering support. The platform is available out-of-the-box and can be quickly configured and personalised to meet the unique requirements of any lab.

Conversational Interface and Experimental Workflow Automation

• Chat-based interface allows scientists to interact with lab data using natural language prompts
• Simplifies experimental design and execution through simple commands
• Supports creation of cell culture experiments and loading of 96-well plates
• Enables direct communication with lab instruments such as the Tecan Freedom EVO liquid handler and Illumina NextSeq 550 sequencer
• Automates generation of growth curves and dose-response analyses

AI-Powered Analytics and Custom Dashboards

• Build custom, personalised dashboards instantly without any coding knowledge
• Examine experiment results and generate statistical tests and visualisations
• Track instrument usage and monitor inventory levels
• Detect anomalies across lab data in real time
• Provides high-level visualisation capabilities comparable to tools like Power BI, with real-time updates for better decision-making and resource management

AI-Assisted Search and Data Retrieval

• Applies complex, contextual, and semantic filters to search across documents, tasks, people, and files
• Allows easy adjustment of filters for precision retrieval
• Saves significant time on data discovery, freeing scientists to focus on core research tasks

Comprehensive Reporting

• Generates detailed and customisable reports for sharing insights and findings across teams
• Covers experimental result summaries, data trends, and compliance documentation
• Ensures clarity and precision in all reporting outputs

Scientific Calculations and Data Associations

• Supports PI calculations, molecular weight determination, and sequence alignment calculations
• Accepts chemical structure file uploads (SMILES, MOL, Inchi) for molecular weight determination
• Tracks and analyses data associations from chemical inputs in drug formulation through to in vivo endpoints in treated animal models
• Enables holistic, cross-stage research insights for informed decision-making

Data Cleaning, Enrichment, and Integrity

• Cleans, processes, and enriches imported R&D data in real time depending on data type and workflow
• Maintains data quality and integrity for accurate and reliable analysis
• Guarantees that customer data is not used to train AI models or accessed by sub-processors
• Employs continuous prompt engineering and context-specific training to minimise inaccuracies and AI hallucinations
• Provides full transparency on the basis of Scibot's judgements and answers

Access Control and Security

• Supports role-based access control for both internal and external users
• Allows selective connection of collaborators to specific R&D, clinical, and production data
• Ensures external users only access relevant information, maintaining data security and integrity

Integrations and Infrastructure

• Integrates seamlessly with Scispot's own alt-ELN, alt-LIMS, and alt-SDMS, as well as third-party ELN and LIMS systems
• Connects with Microsoft Power Platform, Power Apps, Azure, and MS365, enabling users to "chat with their data" across tools and formats
• Integrates with Microsoft Lists for lab operations and assay results management
• Connects with lab instruments via Scispot Agent or Connector — no additional hardware required
• Creates a centralised data lake aggregating data from multiple instruments and applications, eliminating the need for instrument-specific setups
• Historical lab data stored in Microsoft apps can be synced with Scispot's Cloud for further analysis and pattern recognition

Pricing and Deployment

• Designed for easy, out-of-the-box deployment without dedicated engineers or bespoke LLM solutions
• Personalised AI training with customer-specific data ensures accurate and relevant recommendations
• Pre-trained with extensive public scientific data and proprietary biotech-specific ontologies
• Storage and compute costs are included in Scispot's licensing fee, which is based on the number of user seats and custom integrations
• Sufficient AI tokens for standard usage are included, with no additional charges for data storage or compute resources

Scispot AI (Scibot) is available as part of Scispot's broader Lab Operating System, with offices in Kitchener, Seattle, London, San Francisco, and Montreal. The platform is suited to a wide range of life science applications including drug discovery, contract testing labs, molecular diagnostics, pathology, biobanking, industrial biotech, and pharma and clinical QC labs.