Technology
Engineered for AI Accuracy.
Built for Life Sciences.
End-to-end agentic workflows that turn your process into compliant outputs—accurate, traceable, and at scale.
Up to 52% more accurate than NotebookLM
In real-world medical writing tests—FDA submissions, clinical trial protocols, and medical literature survey—Everest outperformed NotebookLM in every scenario, with accuracy gains up to 52%, whether users provided detailed instructions or minimal guidance.
Most AI tools are thin wrappers on an LLM. Everest is a full-stack, agentic workflow engine—built to structure, validate, and deliver high-stakes scientific documentation with unmatched rigor and consistency.
Process Cloning
Everest ingests your templates, example documents, and review logic, then automatically builds an Everest Templates—an orchestrated AI workflow that mirrors your process end-to-end.
Smart Templates
Using the Everest Template Language, Everest turns your report structures into executable templates that reason over source documents, apply decision logic, and generate compliant content.
Integrated Visuals
Automatically detects relevant data and generates figures and tables within your documents.
Prompt Optimization
Automatically refines template instructions for maximum accuracy, reliability, and robustness—no prompt engineering needed.
Custom Formatting
Applies your brand guidelines automatically for polished, submission-ready Microsoft Office documents.
Feedback Learning
Turns reviewer comments into structured workflow improvements—updating templates automatically over time.
How we stack up…
Industry focus
Purpose-built for life sciences
Generic content generation
Deliverables
Full, validated, cross-referenced document packages
Fragmented text or single documents
Workflow automation
Replicates entire processes from intake to validation
One-off generation with no process linkage
Accuracy controls
Section-level control, automated scoring, and feedback learning
Single-prompt generation with variable accuracy and inconsistency
Security & compliance
SOC Type II, HIPAA, BAAs, zero retention with LLM providers
Limited or unclear compliance posture
Scaleability
Build reusable, multi-document workflows
No structured reuse or chaining
IP ownership
You own templates, inputs, outputs, and workflows
IP terms often unclear or unfavorable
Formatting
Polished Word outputs with automatically generated visuals
Minimal formatting
Visuals
Data visualization integrated with figure and table generation
Plain text
Model optimization
Orchestrates best-fit LLMs per section–no vendor lock-in
Tied to a single model with no orchestration
Prompt optimization
Inline comments drive automatic template improvements
Manual prompt engineering required
Custom integrations
Supported via NRE
Have to hire a dev team to build out
