That’s why we are in constant, open dialogue with biochemists and laboratory researchers—engaging directly with the scientific community to understand the true pain points and daily challenges faced in modern research labs.
By speaking the language of working scientists, we ensure our AI platform is not only technologically advanced, but also genuinely relevant and practical for everyday laboratory needs.
By speaking the language of working scientists, we ensure our AI platform is not only technologically advanced, but also genuinely relevant and practical for everyday laboratory needs.
At BinomLabs, we believe the best innovation
starts with listening.
starts with listening.
Pitch Deck (PDF or secure link)
- Visual summary of the problem, solution, market, team, business model, traction, competition, and financials.
Video Presentation (1 min)
Video Presentation (3:16)
Product/Platform Overview
Technical Whitepaper or Science Appendix
For BioTech: a more detailed document on your technology, methods, experimental validation, patents
Traction & Validation Data
Evidence of lab/clinical results, user testimonials, pilots, publications, or peer review (PDF, slides)
Financial Model
Contacts/CVs
- Explaining AI product, technology, workflow, and main differentiators (with diagrams).
Technical Whitepaper or Science Appendix
For BioTech: a more detailed document on your technology, methods, experimental validation, patents
- Reviewer's Comments to Author
- Method for predicting the oncogenicity of mutant proteins using the example of p53 protein
- Identifying Viral Protein Interactions’ Order During Replication and Transcription Processes
- A paradigm shift in experimental biochemistry: a priori estimation of physical parameters of biomolecules
- Patents
Traction & Validation Data
Evidence of lab/clinical results, user testimonials, pilots, publications, or peer review (PDF, slides)
Financial Model
Contacts/CVs
Features of BinomLabs for the pharmaceutical industry
Implementation of AI algorithms to achieve 90% correlation with real-experimental data
- Continuous ImprovementOur algorithms are continuously tested and validated in collaboration with real-biochemistry research labs and academic partners.
- Built for modern biologyOur core strength lies in our highly qualified development team. Our team’s expertise spans mathematical physics, statistics, linear systems, integration, modeling, and programming
- Security and Data IntegrityWe implement robust security protocols to ensure your data is always safe and confidential.
- Task-Specific Customization:Our platform adjusts its analytical approach based on the parameters and goals of your experiment. The tasks and issues set by the customer are the central aspect for our developers.
- User-Centric FlexibilityWe are in constant, open dialogue with biochemists and laboratory researchers—engaging directly with the scientific community to understand the true pain points faced in modern research labs.
- Supports Diverse Experimental SetupsOur algorithms allow us to set such experimental parameters as temperature, salt concentration, and denaturant.
Financial Model
A headline's purpose is to quickly and briefly draw attention to the story. It is generally written by a copy editor, but may also be written by the writer, the page layout designer, or other editors.
1. Customer Growth (per month/quarter, by segment)
| Month/Quarter | Academic | Enterprise | Pharma | Total Customers |
|---|---|---|---|---|
| Q1 2025 | 1 | 0 | 0 | 1 |
| Q2 2025 | 2 | 0 | 0 | 2 |
| Q3 2025 | 2 | 1 | 0 | 3 |
| Q4 2025 | 3 | 1 | 0 | 4 |
| Q1 2026 | 4 | 1 | 1 | 6 |
| Q2 2026 | 5 | 2 | 1 | 8 |
| Q3 2026 | 6 | 3 | 1 | 10 |
| Q4 2026 | 7 | 4 | 2 | 13 |
2. Pricing Tiers
| Tier | Monthly Price | Annual Price | Typical Customer Type |
|---|---|---|---|
| Academic | $500 | $5,000 | Universities, research labs |
| Enterprise | $2,000 | $20,000 | CROs, core facilities |
| Pharma | $5,000 | $50,000 | Biotech, pharma companies |
3. Monthly Revenue Calculation Example
| Month | Academic Customers | Academic MRR | Enterprise Customers | Enterprise MRR | Pharma Customers | Pharma MRR | Total MRR |
|---|---|---|---|---|---|---|---|
| Jan 2026 | 1 | $500 | 0 | $0 | 0 | $0 | $500 |
| Feb 2026 | 2 | $1,000 | 0 | $0 | 0 | $0 | $1,000 |
| Mar 2026 | 2 | $1,000 | 0 | $0 | 0 | $0 | $1,000 |
| Apr 2026 | 2 | $1,000 | 1 | $2,000 | 0 | $0 | $3,000 |
| May 2026 | 3 | $1,500 | 1 | $2,000 | 0 | $0 | $3,500 |
4. Quarterly Totals (Auto-calculated in spreadsheet)
| Quarter | Total Customers | Total Revenue (all tiers) |
|---|---|---|
| Q1 2026 | 1 | $2,500 |
| Q2 2026 | 4 | $10,000 |
| Q3 2026 | 5 | $15,500 |
| Q4 2026 | 7 | $24,000 |
