Compliance & Validation — Not documented by Atlas
Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?
Envisagenics
AI platform (SpliceCore) for discovering and targeting RNA splicing errors in drug discovery.
Envisagenics, founded in 2014 as a spin-out of Cold Spring Harbor Laboratory and headquartered in Long Island City, New York, develops SpliceCore, an AI platform that analyzes RNA splicing to identify novel therapeutic targets and biomarkers, working with biopharma partners. The company has raised approximately $47M across multiple rounds including a Series B. Atlas found no vendor-held security certifications documented on its site.
- Headquarters
- Long Island City, United States
- Founded
- 2014
- Deployment options
- cloud
- Website
- https://envisagenics.com
- https://www.linkedin.com/company/envisagenics
Categories
AI Use Cases
- Target Identification & Validation
Vendor Scorecard
50% — Partial coverage. Coverage score — how completely Atlas documents Envisagenics across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.
Deployment & Hosting — Documented
cloud
Pricing Transparency — Not documented by Atlas
Ask the vendor: What is your pricing model, and what drives total cost of ownership?
Implementation & Onboarding — Not documented by Atlas
Ask the vendor: What is a realistic implementation timeline, and what onboarding support is included?
Organization & Role Fit — Documented
Biotech Startup, Mid-Size Biotech, Large Pharma, Drug Discovery, R&D Leadership
Solution Scope — Documented
Biomarker Discovery, Target Identification
Company Viability — Partially documented
Series B, Founded 2014
Always ask the vendor
Not captured in Atlas data — confirm directly. Excluded from the score above.
Data Rights & IP
Who owns model outputs? Is our proprietary data used to train models others can access, and where does our data reside?
Model Credibility & Explainability
Can you share validation studies or benchmarks, explain how the model reaches its conclusions, and describe how bias and drift are monitored?
Questions to Ask This Vendor
- How are SpliceCore-predicted targets experimentally validated?
- Which therapeutic areas have the most splicing data coverage?
- How is IP ownership structured in partnership programs?
- What security and data-handling documentation is available for collaborators?