target Category-Defining Niche
Purpose-built for cell therapy labs that need pharmaceutical-grade traceability but find enterprise platforms prohibitively expensive.
Investment & Company Overview
BioPilot is a unified Cell Therapy Research Engine that integrates Experiment Design, Inventory, Data Collection, Analysis, and Lineage Tracking into one platform—purpose-built for stem cell and immuno cell therapy labs that need pharmaceutical-grade traceability without enterprise pricing.
Sector: Cell & Gene Therapy Infrastructure
Stage: Pre-Seed / Seed
Model: B2B SaaS + Analysis Services
Investment Highlights
hub Unified Workflow Platform
Single platform for Experiment Design, Inventory, Data Collection, Analysis, and Lineage Tracking—researchers no longer switch between five applications.
database Domain-Specific Data Model
Purpose-built for cell therapy workflows—enabling cross-experiment analysis and AI-driven insights that generic platforms simply cannot match.
savings Accessible & Scalable
Cloud-native with free tier and storage-based pricing—pharmaceutical-grade traceability accessible to small and mid-sized labs.
error The Problem
- close Fragmented tools: researchers switch between LIMS, ELN, spreadsheets, and analysis software to run a single differentiation experiment
- close Free-form notes that cannot be queried—lab notebooks are unstructured and impossible to analyze at scale
- close Manual traceability breaks down: cell bank → processing → experiment → data linkage requires constant manual effort
- close Protocol drift across experiments makes it impossible to determine what actually worked and why
- close Enterprise solutions cost $50K+ per year—prohibitive for most cell therapy startups and academic labs
check_circle BioPilot's Solution
- check Single integrated platform: Experiment Design → Inventory → Data Collection → Analysis → Lineage in one place
- check Lab notebook entries that connect directly to your experimental timeline—every observation traceable, every note searchable
- check Complete lineage from cell source to final data—automatically captured as you work, not manually reconstructed
- check Template-based protocol cloning enables Bayesian optimization with controlled variation
- check Built-in QC workflows, lot tracking, and audit trails for GMP readiness from day one
schedule Why Now?
- trending_up 2,000+ active cell and gene therapy trials globally—research infrastructure demand is exploding
- gavel FDA 21 CFR Part 11 and increasing regulatory pressure require audit trails and data integrity from early R&D
- smart_toy AI-driven protocol optimization is emerging, but requires structured data that most labs lack
- biotech Cell therapy is moving from niche to mainstream—labs need scalable infrastructure, not spreadsheets
Market Opportunity
BioPilot is designed for the 80% of cell therapy labs that need pharmaceutical-grade traceability but cannot afford enterprise solutions. Our target customers include cell therapy startups, CDMOs, pharma process development teams, and academic research centers working on regenerative medicine and immuno cell therapies (CAR-T, TCR-T, NK cells).
The opportunity compounds: each new experiment adds to the ontology dataset, each successful protocol becomes a clonable template, and the accumulated structured data creates an increasingly valuable AI-ready asset for cross-experiment analysis and protocol optimization.
Go-To-Market Strategy
- rocket_launch Product-Led Growth: Free plan with core platform features and free analysis tools drive adoption
- campaign Direct Outreach: Target early-stage cell therapy startups and academic spinouts in key biotech hubs
- local_hospital Strategic Pilots: Partner with hospitals, research centers, and university labs for validation
- handshake Channel Partnerships: Long-term partnerships with CROs, CDMOs, incubators, and accelerators
Product & Technology
BioPilot is built on enterprise-grade cloud infrastructure designed for the unique demands of cell therapy research—secure, scalable, and compliant from day one. The platform is designed specifically for early-to-clinical workflows, not generic biology.
science Stage-Gated Protocol Builder
- check Design multi-stage differentiation protocols with phase transitions and media tracking
- check Bioreactor parameter scheduling: agitation, temperature, pH with 2D and 3D culture support
- check Auto-generated day-by-day timelines with compound formulations
- check One-click protocol cloning for rapid iteration and optimization
inventory_2 GMP-Grade Cell Banking
- check Bank hierarchy: Master Cell Bank → Working Cell Bank with full donor traceability
- check QC status workflows: Released, Quarantine, Testing, Rejected
- check Vial-level tracking with position, state, and usage history
- check Safety testing panels: sterility, mycoplasma, adventitious agents, karyotype
edit_note Connected Lab Notebooks
- check Structured entries: sample prep, results, observations, protocol deviations
- check Every note connected to the exact experiment day and sample context
- check Search across all experiments to find what worked and why
folder_data Smart Data Capture
- check Multi-instrument support: microscopy, cell counting, metabolite analysis, sequencing
- check Every upload automatically tagged to the right experiment day and stage
- check Rich previews: images with zoom/pan, PDF reports, metric dashboards
account_tree Domain-Specific Data Model
- check Pre-configured for pluripotent, immuno cell, and gene-modified cell therapies
- check Complete cell banking hierarchy with role designations and traceability
- check All major process types covered: expansion, differentiation, cryopreservation, editing
local_shipping DS/DP Lot Tracking
- check Drug Substance and Drug Product lot management with batch tracking
- check Complete chain: starting cell bank → processing → final drug product
- check IND/BLA submission-ready traceability from research through manufacturing
Competitive Moat
BioPilot is not another generic LIMS or ELN. Our defensibility comes from deep cell therapy domain expertise and a structured data model that compounds in value with every experiment.
close Pain Point
- close Fragmented tools requiring 5+ applications per experiment
- close Free-form notes impossible to query or analyze
- close Manual traceability that breaks at scale
- close Protocol drift across experiments
- close No GMP readiness in early research
- close Enterprise tools cost $50K+/year
check BioPilot's Answer
- check One platform from experiment design to final analysis
- check Lab notes that connect and search across experiments
- check Complete lineage captured automatically as you work
- check Clone protocols in one click, iterate faster
- check GMP-ready QC workflows, lot tracking, and audit trails
- check Pricing designed for growing labs, not just big pharma
Traction & Validation
rocket Product Capabilities Live
- check Multi-stage protocol design with automated timeline generation
- check GMP-ready cell banking with complete QC workflows
- check Connected lab notebooks that search across all experiments
- check Smart data capture with automatic experiment linking
- check Side-by-side experiment comparison with PDF export
Use of Funds
50%
Product & Engineering
20%
Regulatory & Security
20%
GTM & Sales
10%
Cloud & Compute
Team & Advisors
Mikkel Lorenz
Founder
Ex-Novo Nordisk Cell Therapy Research
Expertise: Data Engineering, Bioinformatics, AI
Interested in Investing?
We're building the operating system for Cell Therapy R&D—pharmaceutical-grade traceability accessible to the labs that need it most.
Are You a Research Lab?
Looking to use BioPilot for your cell therapy research? Sign up for free or contact our team to learn more.